United Slates
        hnviromnentul Protection
        Agency
Office ol Air Quality
Planning and Standards
Keseaich Triangle Park. NC 27711
Final Report
lunc IW4
        Air
$L ERA  SECONDARY LEAD SMELTING
        BACKGROUND INFORMATION
        DOCUMENT FOR
        PROPOSED STANDARDS
        VOLUME 2 - APPENDICES
               NESHAP

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                                      EPA-453/R-94-024b
         Secondary Lead Smelting

          Background Information

               Document for

            Proposed Standards

          Volume 2 - Appendices
         Emission Standards Division
Office  of Air Quality  Planning and  Standards
United States Environmental Protection Agency
Research Triangle Park, North Carolina  27711
                  June 1994
                             U.S. Environment.?! Piolection Agency
                             Rejiioi! 5 Library (?L-^2!}
                             11 W^st Jackscn 'Jojr vj.d, 12th Floor
                             Chicago, IL  606u4-3590

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                            DISCLAIMER
This final report has been reviewed by the Emissions Standards
Division, Office of Air Quality Planning and Standards, U.S.
Environmental Protection Agency, and approved for publication.
Approval does not signify the contents necessarily reflect the
views and policies of the U.S. Environmental Protection Agency,
nor does mention of trade names of commercial products constitute
endorsement of recommendation for use.

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                         APPENDIX A
       EMISSIONS AND PERFORMANCE DATA FROM SECONDARY
                  LEAD  SMELTER TEST  PROGRAM
               EAST PENN MANUFACTURING COMPANY

     East Penn Manufacturing Company operates a secondary
lead smelting facility with a production rate of
approximately 75,000 tons of lead per year.  The facility is
collocated with four battery production plants, also
operated by East Penn.  The raw material for the smelter
consists of approximately 80 percent automotive batteries,
15 percent industrial batteries, and 5 percent plant scrap.
The entire production of the smelter is used to supply lead
to the battery plants.  Approximately 70 percent of the lead
used by the battery plants is supplied by the smelter.
     Figure A-l illustrates the major process operations at
the East Penn facility.
Smelting Operations
     Lead smelting occurs in both a stationary reverberatory
furnace and a blast furnace.  The reverberatory furnace uses
the battery components as feed.  The battery pieces are
transferred by a front-end loader to the furnace charging
area, where the charge is deposited into a bin and then fed
with a vibratory conveyor to a weigh hopper.  The
reverberatory furnace has a permitted capacity of 155 tons
of lead product per day and produces about 78 tons of slag
per day.  The furnace is fired with propane and operates at
a temperature of about 2,200 oF.  Pure oxygen is used for
50 percent of the oxygen air.
                             A-l

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     The blast furnace feed consists of reverberatory
furnace slag, re-run blast furnace slag, and battery groups.
In addition, limestone, silica, and iron are fed to the
furnace as reducing agents.  Coke is used as the blast
furnace fuel and 3 percent of the combustion air is pure
oxygen.
     The blast furnace is charged at a rate of approximately
117 tons per day of battery scrap and slag.  It has a
permitted production capacity of 90 tons of lead per day and
produces about 25 tons of slag per day.  About one-half of
the slag is re-run through the blast furnace and the other
half is disposed of as a hazardous waste.  The slag
resulting from a run using the re-run slag is not considered
hazardous and is disposed of off-site.  All of the blast
furnace slag is not re-run because it is not cost-effective
to run all of the slag twice.
Air PollutionControl Equipment
     An air emissions control flow diagram for East Penn
Manufacturing's smelting and refining operations is
presented in figure A-2.  The process streams from the two
furnaces are combined and vented to an afterburner.  The
propane-fired afterburner has a retention time of
2.5 seconds and is kept at a minimum temperature of
1,400 oF.  Typically, the afterburner is idled to maintain
this temperature because the reverberatory furnace exhaust
substantially heats the combined streams.  The average
exhaust temperature during testing was 1700 oF.
     The combined streams pass through an evaporative cooler
and then through six cells of an eight-cell baghouse.  The
six shaker-type cells used to control the process gases from
the furnaces employ bags made with Gore-Tex® membrane on
Gore-Tex® fabric.  Just before the process baghouse,
approximately 8,000 acfm of ambient air are added through a
dilution damper to further cool the exhaust before it enters
the six-cell process baghouse.  The baghouse is inspected
daily, which includes a glass rod test.  The baghouse is
also equipped with a particulate monitor and alarm to help
                            A-3

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                             East Penn Manufacturing, Co.
                               Lyon Station, Pennsylvania
Bag bouse
1.

Wet Scrubber
         Reverberatory Kettles
                                  Cyclone
Bagboose
Ventilation *od
Local HandHng




I.

                                                             0
VeatDdiioa *xd
Local Handling


No. 3 Bagboose
                                                               Suck
                           A- Blast Fnnuce Outlet (Afterburner Inlet)
                           B- Blast/Revertxaaioiy Furnaces Baghouse Inlet
                           C- Blast/RevabealotyFntnacesBaghoaseOotlet
                           D - Blast/Revabaaiory Furnaces Wet Scrubber Outlet
                           E - Blast/ReveTbexuory Furnaces Baghoose Dust
                           F- ReverberaioryEenles Cyclone Inlet
                           G- ReverberaloryKBales Bagboose Outlet
                           H- RefinerBaghooseInlet  •
                           I - Refiner Bagboose Outlet
                           J - No. 1 Bagbouse Inlet
                           K - No. 1 Bagboose Outlet
                           L - No. 3 Bagbouse Inla
                           M - No. 3 BaghouseOodet
Figure  A-2.    Schematic  of  Blast/Reverberatory Furnaces  and
    Kettles/Hooding  Processes with  Sampling  Points  Shown
                                         A-4

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detect leaks.  After the baghouse, the process exhausts go
to a wet scrubber to control sulfur dioxide (SO2)  emissions.
The scrubber uses anhydrous ammonia that is dissolved in
water as the scrubbing fluid.
     The baghouse used to treat the process gases has two
additional compartments, designated as Baghouse No. 5, that
are used to treat emissions from the reverberatory furnace
slag tap, lead tap, charging area, the area where the slag
molds are cooled, two 75-ton receiving kettles and one
75-ton spare kettle.
     Emissions from the six refining kettles,  the casting
area where the molds are poured, general ventilation from
the material storage area, and the hooded dump door in the
material storage area are controlled by the refinery
baghouse.
     Emissions from the blast furnace skip hoist, lead tap,
lead rotary table where the ingots are cooled, and the
vibratory feeder where the lead-bearing raw material is put
into the charge bucket are controlled by Baghouse No. 3.
     Emissions from the blast furnace slag tap and the top
of the blast furnace where the charge is dumped by the skip
hoist are controlled by Baghouse No. 1.
Emissions and Air Pollution Control Equipment Operating Data
     Emissions testing was performed on the two furnaces, as
well as on various ventilation and local hooding systems.
The sampling points that were tested are indicated in
figure A-2.  These emissions data are presented in
table A-l.  During the emissions testing, pollution control
device data were collected in order to ensure proper control
device operation and to relate the control device operation
to control performance.  Table A-2 summarizes these control
device data.  Any anomalous results obtained from the
emissions testing and the factors that may have contributed
to them are discussed below.
     The measured volumetric flow rate decreases across the
wet acid gas scrubber, according to the test report.
                            A-5

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Consequently, the particulate and lead emission rates
calculated at the scrubber outlet may be biased low.
     The metal HAP emission rates measured at the baghouse
inlet using the multi-metals train (modified EPA Reference
Method 5), indicate an uncontrolled cadmium emission rate of
11.0 Jcg/hr, compared to a lead emission rate of 6.3 kg/hr
measured at the same point.  It is unlikely that this is an
accurate measure of cadmium emissions.  Lead-acid batteries
do not contain cadmium anal all batteries that come into the
smelter are screened to separate out nickel-cadmium
batteries and other non-lead batteries.
     The particulate matter and lead control efficiency of
Sanitary Baghouse No. 3 was substantially lower than that of
the other baghouses and this baghouse had the highest
controlled lead emission concentration of all baghouses
tested.  While the pressure drop for this baghouse appeared
normal and the baghouse appeared to be properly operated and
maintained, the inlet grain loading of this baghouse was
substantially lower than that of the other baghouses.  The
outlet particulate and lead concentrations may have been
slightly higher because a good primary filter cake may not
have formed on the bags.
                            A-14

-------
                      GNB INCORPORATED

     GNB in Columbus, Georgia operates two blast furnaces
that are capable of producing about 40,000 tons per year of
lead.  About half of this lead is manufactured into lead
oxide in a lead oxide mill at the same location.  The
smelter recovers lead primarily from used automotive
batteries and scrap lead.
     Figure A-3 illustrates a simplified schematic of the
blast furnaces, charging hoods, and sampling location.
Smelting Operations
     Used batteries are cut open with a saw and drained of
acid.  The plates are dumped from the cases and sent to the
material storage area.  The cases are sent to a hammermill
to separate the lead posts from the case material.  The
plastic case material is sold for recycling.
     Each furnace charge consists of about 700 pounds of
lead-bearing material, 12 to 16 pounds of iron, and l to 2
pounds of lime and silica.  Coke is added to the charge as
fuel.  Lead-bearing slag produced from previous runs is also
added to the charge material.
     The furnace is charged with a manually loaded skip
hoist.  Charge materials enter the furnace through an
opening in the side of the furnace.  The opening is enclosed
in a hood, but is otherwise open at all times.
     Slag is tapped from the blast furnaces every 30 to 45
minutes.  Lead is continuously tapped from the blast furnace
and cast into buttons weighing about 1000 pounds.  These
buttons are then taken to the refinery, which consists of
five refining kettles.  Refined lead is pumped to a casting
machine to produce lead ingots.  The ingots are either
shipped off-site or used to produce lead oxide.
Air Pollution Control Equipment
     Blast furnace charging emissions are controlled with a
semi-enclosed hood that is vented to a sanitary baghouse.
                            A-15

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Escape of process emissions through the charge opening is
prevented by maintaining a negative pressure inside the
blast furnace.
     Process emissions from each blast furnace flow through
a natural gas-fired afterburner with temperatures of 1200 to
1500 °F and residence time of 0.7  seconds.   After passing
through cooling loops, process emissions then flow through a
baghouse. Flue dust is collected from the baghouses and
recycled through the blast furnace.
     The lead well, slag taps, and charging opening on each
furnace are hooded and vented to a sanitary baghouse.
Fugitive emissions from each of the refining kettles are
captured by a hood and vented to a wet scrubber.  The wet
scrubber also handles fugitive emissions from the hood over
the hot end of the casting machine.
Emissions and Air Pollution Control Equipment Operating Data
     Emissions testing for total hydrocarbons was performed
on the blast furnace charging sanitary system.   Figure A-3
shows the sampling location on the blast furnace charging
ventilation system.  THC emissions were measured
continuously for two 3-hour runs.   The average THC emission
rate and concentration during each run are presented in
table A-3.
                            A-17

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                    GULF COAST RECYCLING

     Gulf Coast Recycling in Tampa, Florida operates a blast
furnace that is permitted to produce about 21,000 tons per
year of lead.  The smelter primarily recovers lead from used
automotive batteries and a small amount (less than
2 percent) from battery manufacturing scrap.
     Figure A-4 illustrates the major process operations at
the Gulf Coast facility.
Smelting Operations
     Used batteries are cut open with a saw.  The acid is
drained and then sold to the fertilizer industry.  A tumbler
separates the grids form the cases.  The grids are sent to
the material storage area.  A hammer mill is used to crush
the cases and the lead posts are separated from the plastic
in a flotation tank.  The plastic is sold for recycling and
the posts are sent directly to the refining operation.
     The blast furnace has a typical charge rate of 9,500
pounds per hour, consisting of lead-bearing materials, coke,
limerock, cast iron, and re-run slag.  The blast furnace is
charged with a skip hoist.  The charge opening at the top of
the furnace is fitted with doors that are automatically
opened by the skip hoist.
     Lead is tapped from the blast furnace and cast into
3,700 pound buttons.  The buttons are then transported to
the refining operations, which consists of three kettles.
Drosses are removed after melting and refining and the lead
is cast into ingots by a casting machine.
     Gulf coast also operates an agglomerating furnace that
melts the flue dust from the process baghouse into a large
solid piece of material.  This material is subsequently
broken and re-run through the blast furnace.
Air Pollution Control Equipment
     The top of the skip hoist and charge opening are
enclosed in a hood that is vented to a dedicated baghouse.
The baghouse is exhausted to the atmosphere through a
dedicated baghouse.
                            A-19

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-------
     Process emissions from the blast furnace pass through
cooling loops prior to entering a baghouse with ten chambers
that discharge to an exhaust stack.  There is no afterburner
at this smelter.  The ventilation system for blast furnace
lead and slag tapping consists of exhaust hoods that are
vented to a single-chamber baghouse.  The 3 melting kettles
and lead dressing bins are controlled by exhaust hoods and a
two-chamber baghouse.  A single-chamber baghouse is
dedicated to controlling emissions from a kettle used for
casting sailboat keels.
Emissions and Air Pollution Control Equipment Operating Data
     Emissions testing for total hydrocarbons was performed
on the blast furnace charging hood ventilation system.  THC
emissions from the blast furnace charging ventilation system
were measured continuously during the two 3-hour runs.  The
average emissions measured during the two runs are presented
in table A-4.
                            A-21

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          REVERE SMELTING AND REFINING CORPORATION

     Revere Smelting and Refining (RSR) Corporation in
Wallkill, New York operates a reverberatory furnace with a
production capacity of 80,000 tons per year of lead.  The
smelter processes scrap lead products that mainly consist of
spent automobile and industrial lead-acid batteries.  A
small amount of the raw material, less than 15 percent, is
scrap generated at battery manufacturing plants.
     Figure A-5 presents a simplified schematic of the
process and emission control system.
Smelting Operations
     Used batteries are initially drained of acid, broken,
and the lead-bearing materials and the hard rubber battery
cases are separated from the plastic battery cases.  Lead-
bearing charge materials consist of battery posts, grids,
straps, paste, lead alloys, lead oxide, and lead sulfate.
The battery paste is desulfurized prior to charging in order
to decrease sulfur dioxide emissions.  Fluxing materials
added to the charge include coal fines, coke, rubber, lime,
soda ash, and iron.
     The initial smelting of the charge materials produces
slag and soft lead.  The slag is then re-run through the
reverberatory furnace to produce a semi-soft lead and
second-run slag.  This second-run slag is shipped off-site
to another smelter.
     The soft and semi-soft lead from the reverberatory
furnace is refined in kettles.  The refined lead is then
cast into ingots.
Air Pollution Control Equipment
     Flue gases from the furnace are cooled in an
evaporative cooling tower before passing to a fabric filter
baghouse and then to the stack.  There are no add-on
controls for organic emissions from the smelting furnace.
     Process fugitive emission sources, including the drying
kiln, reverberatory furnace charging mechanism, slag tap,
                            A-23

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lead tap, and refining kettles, are controlled by local
hooding and ventilation to a baghouse.
Emissions Test Results
     THC emissions were measured continuously during 4 runs
at the baghouse outlet.  Runs 1, 2, and 3 lasted one hour
each and run 4 lasted 5 hours.  Carbon dioxide and carbon
monoxide were also measured during each run.  Hydrochloric
acid and chlorine emissions were also measured during
runs 1, 2, and 3.  The results of these emissions tests are
presented in Table A-5.
                            A-25

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                SCHUYLKILL METALS CORPORATION

     The Schuylkill Metals Corporation plant in Forest City,
Missouri, is a state-of-the-art secondary lead smelter that
began operation in 1976.  The facility produces
approximately 36,500 tons of lead product per year.  The
primary raw materials  (80 to 90 percent) are lead-acid
automobile batteries.  Other raw materials include
miscellaneous lead-bearing scrap and industrial batteries.
Smelting Operations
     The Schuylkill plant includes a battery breaking and
separation facility, a blast furnace, 3 refining kettles,
2 dressing kettles, a briquetting machine, and an automatic
casting machine.  The blast furnace smelting operations are
discussed below.
     Lead smelting occurs in a blast furnace that typically
operates 24 hours per day, 365 days per year.  The blast
furnace has a design capacity of approximately 8,000 pounds
of lead per hour, but normally produces about 7,300 pounds
of lead per hour.  A typical charge feed rate is about
14,700 pounds per hour and consists of coke, fluxes, slag,
battery plates, posts and paste, and drosses.  Weighed raw
charge materials are loaded via a front-end loader into a
rotating drum airlock at the top of the furnace that is
vented to the process baghouse.  Combustion air is supplied
to the bottom of the furnace through tuyeres and pure oxygen
is used to increase the oxygen content of the combustion air
by 4 percent.
     The blast furnace lead is continuously tapped directly
into a hooded receiving kettle and subseguently pumped to
three hooded refining kettles.  Fumes and dust generated
during the refining, alloying, and dressing operations are
collected by hoods over the kettles and directed to the east
side (hygiene)  baghouse.
                            A-27

-------
Air Pollution Control Equipment
     Figure A-6 is a simplified diagram showing the major
process and process fugitive emission sources and controls
at the Schuylkill facility.
     Blast furnace off-gases exit the furnace at 500 to
1000 °F and are directed through a 3-burner afterburner
maintained at 1300 °F for control of volatile organic
compounds and carbon monoxide.  The furnace process exhaust
is then combined with the exhausts from hoods over the
charging airlock, lead tap, and slag tap.  The combined
exhaust gases are then directed to a settling chamber and
water-cooled flue pipe before being sent to the west side
baghouse.
       The west side baghouse has 6-cells and an air flow
rate of approximately 43,000 acfm.  The bags are made of
Tuflex - fiberglass with a Teflon B finish on the inside.
The pressure drop is 3-4 inches of water for new bags and
5.5 - 6.2 inches of water for old bags.  After the west side
baghouse, the gases go on to a lime slurry scrubber for
control of sulfur dioxide  (802)•
     The scrubber is a tower with 60 sprays on 5 different
levels.  Generally, the scrubber operates at a media flow
rate of about 3,000 gallons per minute, and the flow of
water is controlled by pH and density.  The scrubber media
is maintained between pH 6 and 7.
     The 6-cell east side baghouse receives the hygiene
exhaust from the charge preparation (mixing) room, the
smelter building, the dust briquetter, the lead receiving
kettle, and the refining kettles at a flow rate of
approximately 38,000 acfm.  The east side bags are made of
acrylic and the pressure drop is about 2.3 inches of water.
The exhaust from the east side (hygiene) baghouse is not
directed through the scrubber, but it is combined with the
scrubber exhaust at the stack.
                            A-28

-------
                             Schuylkill Metals Corporation
                                  Forest City, Missouri
              ©

Blast
Furnace



                ©
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/ '

Kettles and
Charge Prep Area
1



Sanitary
Bag house



                         A -  Blast Furnace Afterburner Inlet
                         B -  Blast Furnace Afterburner Outlet/Baghouse Inlet
                         C -  Blast Furnace Baghouse Outlet/Wet Scrubber Inlet
                         0 -  Blast Furnace Baghouse and Sanitary Baghouse Outlet
                         E -  Blast Furnace Baghouse Dust
                         F -  Sanitary Baghouse Inlel
                         G -  Sanitary Baghouse Outlet
Figure A-6.
Schematic  of  blast and  kettles/hooding  processes
     with sampling  points  shown.
                                       A-29

-------
Emissions and Air Pollution Control Equipment Operating Data
     Emissions testing was performed on the blast furnace,
as well as on various ventilation and local hooding systems.
These emissions data are presented in table A-6.  During the
emissions testing, pollution control device data were
collected in order to ensure proper control device operation
and to relate the control device operation to control
performance.  Any anomalous results obtained from the
emissions testing and the factors that may have contributed
to them are discussed below.
     The metal HAP emission rates measured at the blast
furnace baghouse inlet using the multi-metals train
(modified EPA Reference Method 5), indicate an uncontrolled
cadmium emission rate of 4.5 kg/hr, compared to a lead
emission rate of 2.9 kg/hr measured at the same point.  It
is unlikely that this is an accurate measure of cadmium
emissions.  Lead-acid batteries do not contain cadmium and
all batteries that come into the smelter are screened to
separate out nickel-cadmium batteries and other non-lead
batteries.  No other sources of cadmium could be identified
that would account for such high cadmium emissions.
     The estimated THC and organic HAP emission rates at the
afterburner inlet presented in the original test report are
probably biased low due to the use of incorrect volumetric
flow rates in calculating emission rates from
concentrations.  The THC and organic HAP emission rates
presented in this appendix have been corrected (about
76 percent higher than the original test report) based on
the following discussion.
     The volumetric flow rate measured at the afterburner
inlet (3300 dscfm) was substantially less than the adjusted
flow rate at the afterburner outlet (5800 dscfm), which has
been corrected for dilution air.  However, the afterburner
inlet sampling location did not meet the criteria in EPA
reference method 1 for a representative sample port location
and the volumetric flow rate could not be measured
accurately.  The volumetric flow rate at the afterburner
                            A-30

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inlet was probably closer to 5800 dscfm.  The average THC
emission rate at the afterburner inlet should actually be
about 59 kg/hr (130 Ib/hr),  rather than 32 kg/hr (70 In/hr)
as reported in the original test report.
     The THC emission rates at the afterburner outlet may
have been calculated incorrectly using the volumetric flow
rate from the baghouse inlet (25,000 dscfm) rather than the
afterburner outlet (6,500 dscfm).  The THC emission rates
during the first and third run at the afterburner outlet
should actually be about 4.4 and 5.4 kg/hr (9.8 and
12 Ib/hr) when calculated using the flow rate at the
afterburner outlet, rather than 24 and 32 kg/hr (53 and
70 Ib/hr).  The afterburner malfunctioned and the operating
temperature dropped significantly during the second run,
resulting in substantially higher THC emissions (about
34 kg/hr [76 Ib/hr])  than during the first and third runs.
     The THC emission rates increased significantly at the
scrubber outlet,  compared to the THC emissions at the
afterburner outlet.  Between these two points, the process
fugitive emissions from the blast furnace charging are
introduced into the ventilation system.  Three pieces of
information indicate that blast furnace process emissions
are probably escaping the furnace top through the charging
mechanism and are bypassing the afterburner.   First, THC
emission rates at the stack (when calculated using the
correct flow rates) were much higher than the THC emissions
at the afterburner outlet.  Second, peaks in THC
concentrations measured at the stack occurred at nearly the
same time as peaks in the uncontrolled THC concentrations
measured at the afterburner inlet while emissions did not
increase at the afterburner outlet.  Finally, significant
furnace emissions were seen escaping through the furnace
charging device and into the blast furnace charging hood,
even when charging was not occurring.
     Based on this information, it appears that the high THC
emissions measured at the stack were due to process
emissions that escaped the furnace top and were then
                            A-40

-------
captured by the blast furnace charging hood.  These process
emissions bypassed the afterburner and were then combined
with the process emissions at the baghouse inlet.
                           A-41

-------
                TEJAS RESOURCES INCORPORATED

     Tejas Resources was a state-of-the-art, medium-sized
secondary lead smelter that operated two rotary furnaces and
four refining kettles.  The facility was capable of
processing 10,000 automotive lead-acid storage batteries per
day.  The facility ceased operations in 1993, but has not
been dismantled as of April, 1994 and is available for sale.
     Figure A-7 illustrates the major process operations and
emission flow controls at the Tejas facility.
Smelting Operations
     Lead-acid storage batteries, which provide the primary
feed stock to the smelter, are initially drained of their
acid and crushed in a hammermill.  The broken batteries are
separated into grid metal, lead oxide, polypropylene, hard
rubber, and separators.  The polypropylene is sold for
recycling.  The hard rubber is mixed in with the grid metal.
The separators are mixed with the lead oxide and charged to
the furnaces.
     The charge materials are then loaded into feed tubs and
transferred by conveyor to the furnace area, where
individual tubs are loaded into a charging ram with an
overhead crane.  The system of furnace charging and material
handling employed at Tejas reduces the potential for
fugitive dust emissions normally associated with these
processes by eliminating intermediate storage of materials
and eliminating the use of wheeled vehicles.
     The rotary furnaces operate as batch operations, with
each batch cycle typically lasting about 16 hours.  During
the testing period, lead production averaged 18 tons per
batch.  In addition to the lead-bearing materials charged in
each batch, coke, silica, soda ash, and iron are added as
reducing agents.  The furnace charge and production
information are provided in tables A-7 and A-8,
respectively.
     At the end of each batch cycle, lead is tapped into
crucibles, allowed to cool, and then transferred by overhead
                            A-42

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crane to 60-ton-capacity refining kettles for further
processing.  Kettle production data are presented in
table A-9.  After lead tapping is complete, the slag is
tapped into crucibles and disposed of as a non-hazardous
industrial waste.
Air Pollution Control Equipment
     Air pollution control equipment design parameters for
Tejas are presented in table A-10.  Each rotary furnace at
Tejas is controlled by a cooling and settling chamber,
cooling loops, a process bcighouse, and a wet scrubber
equipped with a mist eliminator.  The cooling loops are
equipped with dilution dampers to introduce additional
cooling air prior to entering the process baghouse.  The
two process baghouses are eight-compartment shaker-type
baghouses.  After the baghouse, the process exhausts go to a
wet scrubber to control sulfur dioxide (SO2) emissions.  The
wet scrubbers are impingement plate scrubbers that use
caustic soda as the scrubbing media and are fitted with
fixed-blade mist eliminators.
     The furnace charging doors, the furnace transition
piece (where the exhaust duct connects to the furnace),
furnace taps, and the refining kettles are hooded and
ventilated to a sanitary baghouse that is similar to the
process baghouses, but with a higher air-to-cloth ratio.
During tapping, visible emissions from the furnace were
observed; however, these emissions were controlled by the
furnace hooding.
     Flue dust from all three baghouses and from the two
sets of cooling loops is screw-conveyed to a central drag
chain conveyor which carries it to a surge bin.  The flue
dust is then combined with the oxides for charging to the
furnace.  However, at the time of the test, the drag chain
was inoperable.  For this reason the flue dust was being
screw-conveyed to covered tubs, which were then transferred
to the furnace charging area by forklift.
                            A-46

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-------
       TABLE A-10.
        AIR  POLLUTION CONTROL  EQUIPMENT  DESIGN
        PARAMETERS FOR TEJAS RESOURCES
   Control
    Sources
  Controlled
            Design Parameters
Baghouse 1
Rotary
Furnace 1
Wet
Scrubber 1
Baghouse 2
Rotary
Furnace 1
Rotary
Furnace 2
Wet
Scrubber 2
Baghouse 3
Rotary
Furnace 2
Furnace
tapping,
furnace
transition,
kettles, and
building
fugitives
Shaker baghouse
15,000 scfm
8 compartments
64 acrylic bags per  compartment
1.1 to 1 air-to-cloth ratio;
25 °F operating temperature

Sly impingement model 360 plate scrubber
15,000 scfm
30 gprn recirculation rate
8.5-9 pH
110 °F operating temperature

Shaker baghouse plate scrubber
15,000 scfm
8 compartments
64 acrylic bags per  compartment
1.1 to 1 air-to-cloth ratio;
250 °F operating temperature

Sly impingement model 360 plate scrubber
15,000 scfm
30 gpm recirculation rate
8.5-9 pH
110 °F operating temperature

Shaker baghouse plate scrubber
45,000 scfm
8 compartments
64 acrylic bags per  compartment
3.0 to 1 air-to-cloth ratio;
ambient operating temperature
                                  A-4 8

-------
   Lssions and Air Pollution Control Equipment Operating Data
     EPA-sponsored emissions testing was performed on one of
the rotary furnaces and its associated pollution controls
and on the sanitary baghouse during October, 1992.  These
emissions data are presented in table] A-ll.  During the
emissions testing, pollution control device data were
collected in order to ensure proper control device operation
and to relate the control device operation to control
performance.  These pollution control device data are
presented in table A-12.  The process and sanitary baghouses
appeared to be operating correctly throughout the testing
period.  Testing of the scrubber, however, had to be
temporarily suspended after the scrubber became plugged and
the liquid backed up; but this did not affect emission
measurements.
Any anomalous results obtained from the emissions testing
and the factors that may have contributed to them are
discussed below.
     During testing, the furnace was prone to upsets
immediately after charging.  During these upsets, black
smoke was observed escaping the furnace and hooding.  When
one of these upsets occurred, the burner would be adjusted
to a low heat rate to reduce the exhaust flow from the
furnace.  While fugitive emissions during process upsets
escaped the local hooding, the building enclosure contained
these emissions.
     The amount of separator material charged to the furnace
varied throughout the tests.  In addition, the amount of
separator material charged to the furnace being tested was
significantly less than the amount of separator material
charged to the other identical furnace during the same
period.  The separator charge weights for the furnace being
tested ranged from 0 to 1,750 pounds with an average of 300
pounds.  The separator charge weights for the other furnace
ranged from 0 to 6,570 pounds with an average of 2,500
pounds.
                            A-49

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     On October 9, a small hole was found in the burner on
the smelting furnace.  It is expected that the hole may have
affected the burner operation, which in turn may have
increased organic emissions.  On October 11, a new burner
was installed to replace the defective burner.
                            A-63

-------
                         APPENDIX B

        SECONDARY LEAD SMELTER TEST PROGRAM OVERVIEW
1.0  INTRODUCTION
     Between October 1992 and September 1993, the U.S.
Environmental Protection Agency (EPA) sponsored a total of
six emission test programs at secondary lead smelters:
Tejas Resources, Inc. in Terrell,  Texas; Schuylkill Metals
Corporation in Forest City, Missouri; East Penn
Manufacturing Company in Lyon Station, Pennsylvania; RSR
Corporation in Middletown, New York; Gulf Coast Recycling in
Tampa, Florida; and GNB Inc. in Columbus, Georgia.  The
purpose of the test programs was to collect data to develop
the regulations for secondary lead smelters required under
Section 112 of the Clean Air Act (CAA), as amended in
November 19 9 0.1
     Selection of the test sites was based on smelter design
and emission control techniques.  The objectives of
conducting these test programs were:2
     •  To obtain emission data from facilities that are
        typical of the existing population of secondary lead
        smelters; and
     •  To obtain emission data from facilities with
        advanced control technologies.
     The measurements were specifically designed to provide
data to:3
     •  Establish the basis for emission standards or
        factors for lead, particulate matter (PM),
        particulate matter less than 10 microns in diameter
        (PM10), hydrochloric acid (HCl), and total
        hydrocarbons (THC);
                             B-l

-------
     •  Characterize control device performance;
     •  Estimate uncontrolled emissions; and
     •  Establish the basis for enhanced monitoring
        requirements for carbon monoxide (CO) , sulfur
        dioxide (802) /  and opacity.
     The purpose of this appendix is to define the
methodologies used in the EPA-sponsored test programs to
collect emissions and process data, to recommend potential
procedures to demonstrate compliance with any proposed
standard, and to discuss alternatives for monitoring
emissions and/ or process parameters to indicate continued
compliance with any proposesd standards.

2.0  EMISSION MEASUREMENT TEST PROGRAM AND METHODS
     This section addresses the scope of the six emission
test programs conducted to collect data to support
preparation of emission standards for secondary lead
smelters and the specific test methods used to generate the
data.  In all the tests, the testing targeted the emissions
from the furnace.
     A variety of pollutant emissions were measured during
the secondary lead smelter testing.  Air emission
measurements were made for:
     •  Metals  (arsenic, antimony, cadmium, chromium,
        nickel, manganese, lead, and mercury) ;
     •  Semi-volatile organics;
     •  Volatile organics;
     •  Dioxins/Furans  (PCDD/PCDF) ;
     •  Aldehydes /Ketones;
     •  PM;
      •  Condensible particulates ;
      •  HC1;
      •  Chlorine  (C12) ;

                             B-2

-------
     •  THC (total hydrocarbons);
     •  CO (by GEM);
     •  SO2 (by OEM); and
     •  Opacity (by GEM).
     Table 1 summarizes the methods, the pollutants
measured, and the location of the testing sites.
     Typical gas streams tested at lead smelter facilities
included the inlet and outlet of the furnace baghouse, the
wet scrubber outlet, and the sanitary baghouse inlet and
outlet streams.  Not all of these streams were tested at
each plant.  In all of the tests, sampling sites and
traverse point locations were determined using EPA reference
method 1.  EPA reference method 2 was used to determine
velocity, temperature, and volumetric flow rate.  EPA
reference methods 3 and 3B were used to determine dry gas
composition and molecular weight, respectively.  In some of
the tests, EPA reference method 4 was used to determine
moisture content; and in others, the ASME PTC 19.18
(wet bulb/dry bulb) method was used.  The moisture content
is used to adjust the molecular weight of the gas sampled
through a calculation in EPA reference method 2, and to
adjust the flow rates to a dry basis if needed.4
     All of the testing locations exceeded EPA reference
method 1 minimum criteria; however, at the Gulf Coast
facility, only one sampling port existed in the baghouse
outlet stack.  Therefore, the samplers selected more
velocity traverse points along the single diameter than
required by method 1.
     As an integral part of the test programs, process and
pollutant control device data were monitored and recorded.
These data typically included control equipment operating
conditions and parameters such as pressure drop and pH.
Because some secondary lead smelting furnaces operate in
batch mode, process data also included furnace charge data,
material production, and batch duration.
                             B-3

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                                                        B-13

-------
2.1  METALS AND PARTICULATE MATTER EMISSIONS
     For the secondary lead smelter study, the EPA was
interested in assessing the emissions of several metals:
arsenic (As), antimony (Sb), cadmium (Cd), chromium (Cr),
nickel (Ni), manganese (Mn), lead (Pb), and mercury (Hg).
Particulate, metallic HAPs,, and moisture present in the
Tejas, Schuylkill, and East Penn furnace baghouse inlets
were collected utilizing the methodology for the EPA
reference method 5 multi-metals test train, "Determination
of Metals Emissions in Exhaust Gases from Hazardous Waste
Incineration and Similar Combustion Processes"
(EPA/530-SW-91-0101, December 1990).  These tests were
performed simultaneously with the particulate and lead
emission testing discussed below.  Sections 4 and 6 of
method 5 specify the analytical procedures and calculations
used for particulate determination.   Mercury was analyzed by
cold vapor atomic absorption spectroscopy and the other
metals were analyzed using inductively coupled plasma atomic
emission spectroscopy or atomic absorption spectroscopy.
2.2  LEAD AND PARTICULATE MATTER EMISSIONS
     EPA reference method 12 sampling trains were used to
collect particulate, lead, and moisture present in the
following gas streams at Tejas and Schuylkill:  furnace
baghouse outlets; wet scrubber outlets; and sanitary
baghouse inlets and outlets.  Method 12 was also used at the
East Penn furnace baghouse outlet, wet scrubber outlet, and
the ventilation and hooding baghouse inlet and outlet.
Particulate determination was identical to that described in
section 2.1, above.  Lead was analyzed using atomic
absorption spectroscopy.
2.3  SEMI-VOLATILE ORGANIC EMISSIONS
     Semi-volatile organics were collected by SW-846
method 0010 at the Tejas furnace baghouse inlet and the
Schuylkill furnace afterburner inlet location.  Both tests
were performed simultaneously with the PCDD/PCDF and the
HC1/C12 testing.  A modified method 5 train as specified in
method 0010 was used at the East Penn blast furnace*outlet.
                            B-14

-------
method 8270 for high resolution gas chromatography (HRGC)
with low resolution mass spectrometry (LRMS) was used for
the analysis procedures.
2.4  VOLATILE ORGANIC EMISSIONS
     The volatile organics in the Tejas furnace baghouse
inlet and the Schuylkill furnace afterburner inlet were
determined using a method 0030 volatile organic sampling
train (VOST) and EPA TO-14 procedures.  The sampling period
was based on the EPA reference method 25A total hydrocarbon
readings.  The Tejas volatile organic testing was performed
in conjunction with the semi-volatile and aldehyde/ketone
sampling; the volumetric flow rates from the latter tests
were used in calculating the volatile organic emission
rates.  The TO-14 procedures were used simultaneously with
the VOST train at both sites, since the volatile organic
concentrations were expected to be high.  The volatile
organics in the condensate samples were analyzed using
method 8240 for the Tejas site and using HRGC/LRMS for the
Schuylkill site.
     The emissions at the East Penn furnace outlet were
determined only by VOST.  The volatile organics in the VOST
tube samples were identified and quantified using the
method 5040 purge-trap-desorb (P-T-D) GC/MS procedure.
2.5  PCDD/PCDF EMISSIONS
     PCDD/PCDF concentrations and mass rates at the Tejas
and the Schuylkill furnace baghouse outlets and wet scrubber
outlets and the East Penn wet scrubber inlet and outlet were
measured using an EPA reference method 23 sampling train.
Method 23 gives a detailed specification of the analysis
procedure using HRGC and high resolution mass spectrometry
(HRMS).  Additionally, baghouse dust samples were obtained
directly from bins that collect baghouse fines at the Tejas
site and from the baghouse screw conveyor at the Schuylkill
site.  The dusts were analyzed using method 8290 procedures.
2.6  ALDEHYDE/KETONE EMISSIONS
     Method 0011 was used to determine aldehydes and ketones
in both the Tejas and the Schuylkill furnace baghouse inlet
                            B-15

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gas emission streams and the East Penn furnace outlet gas
stream.  The sampling runs were performed simultaneously
with the semi-volatile and volatile organic runs.  The
analytical procedures were performed as specified in
methods 0011 and 0011A using high-performance liquid
chromatography (HPLC).
2.7  FILTERABLE PARTICULATE, PM10, AND CONDENSIBLE
PARTICULATE EMISSIONS
     Filterable particulate was determined from the multi-
metals test train at the Tejas furnace baghouse inlet and
from the method 12 sampling conducted at the Tejas and the
Schuylkill furnace baghouse outlets, scrubber outlets, and
sanitary baghouse inlets and outlets.
     At the Tejas facility,, combined methods 201A and 202
were used to collect PM^o anc* condensible particulate in the
furnace baghouse inlet and outlet, wet scrubber outlet, and
sanitary baghouse inlet and outlet streams.  A volumetric
gas flow balance was not achieved across the furnace
baghouse and scrubber due to air leaks and the introduction
of dilution air.  Additionallly, the baghouse outlet did not
meet the minimum criteria dictated by method 1 since two
separate exhaust ducts serve as an outlet.  However, the
streams were well mixed at the outlet and so testing was
performed on only one of the exhaust ducts at a time.
     At the Schuylkill site, method 201A particle size
distribution tests were performed at the baghouse inlet and
method 202 was used to determine condensible particulates at
the baghouse inlet.  Combined methods 201A and 202 were used
to determine particle size distribution and condensible
particulates at the sanitary baghouse inlet and outlet.
     Combined methods 201A and- 202 were also used at the
East Penn furnace outlet, furnace baghouse inlet and outlet,
wet scrubber outlet, and the ventilation and hooding
baghouse inlet and outlet gas streams to determine particle
size distribution and condensible particulate.
     Testing for filterable particulate, PM10, and
condensible particulate at the Tejas and Schuylkilt sites
                            B-16

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was performed simultaneously across the furnace baghouse and
scrubber and at the sanitary baghouse inlet and outlet.
     Section 5 of method 202 and sections 4 and 6 of
method 5 detail the analytical procedures and calculations
used at all the sites.
2.8  HYDROCHLORIC ACID AND CHLORINE EMISSIONS
     Proposed method 26A (59 FR 19306; April 22, 1994)
procedures were used to measure hydrochloric acid and
chlorine concentrations, mass rates, and removal efficiency
at the Tejas furnace wet scrubber outlet, the Schuylkill
furnace afterburner outlet and scrubber outlet, and the East
Penn furnace's wet scrubber inlet and outlet.  A Modified
method 26 test train was used at the Tejas furnace baghouse
outlet and the furnace scrubber outlet to collect the non-
isokinetic gas sample,  method 26 also was used at the RSR
Corporation baghouse outlet.  The analytical method detailed
in the Schuylkill and East Penn reports is the SW-846
method 9056 used to determine Cl~ anions.  The chloride
content of each sample was analyzed by ion chromatography.
2.9  THC EMISSIONS
     THC at the Tejas furnace baghouse inlet and outlet and
wet scrubber outlet were monitored continuously using EPA
reference method 25A flame ionization detection (FID)
procedures.  This procedure was also used at the Schuylkill
furnace afterburner inlet, outlet, and scrubber stack and
the East Penn furnace's baghouse inlet, outlet, and wet
scrubber outlet.  THC monitoring at the furnace baghouse
inlet at these sites was conducted simultaneously with the
VOST sampling.  THC emissions at the RSR and the Gulf Coast
baghouse outlets and at the GNB furnace charging hood were
also measured using method 25A..  The THC measurements at RSR
were conducted concurrently with the CO measurements.
     The RSR furnace used natural gas.  Natural gas is 90 to
95 percent methane, and, although methane is not considered
a THC, it responds positively on a THC analyzer.  Therefore,
the measured THC concentrations would be overstated by the
amount of any unburned methane that was present in the stack
                            B-17

-------
gas.  To correct for this bias, it was necessary to measure
the unburned methane present.  Methane was measured by
collecting two canister samples and methane was analyzed
using EPA reference method 18, GC/FID.
2.10 CO. SCH. AND OPACITY EMISSIONS
     EPA reference method 10 procedures and a GEM system
were used to determine the CO concentrations at the Tejas
furnace scrubber stack, the Schuylkill afterburner inlet and
scrubber stack, and the East Penn scrubber outlet.
Method 10 was also used downstream of the baghouse at RSR.
The sample was analyzed using a non-dispersive infrared
(NDIR) analyzer.  The sampling was conducted concurrently
with the RSR THC measurement runs.
     Tejas and East Penn CEM systems were used to monitor
SO2 emissions at the furnace wet scrubber exhaust stack.  A
Schuylkill CEM system was used at the afterburner inlet.
     A Tejas opacity monitor was used to monitor opacity at
the baghouse outlet.

3.0  PERFORMANCE TEST METHODS
     The following subsections discuss the recommended test
methods for determining compliance with a standard for each
of the potentially regulated pollutants.  The particular
measurement methods and procedures to be used depend upon
the requirements of the standard and test procedures
specified in the applicable regulation.
     Performance test methods and procedures are used to
determine the overall control efficiency of add-on pollution
control systems.  Add-on control systems are composed of two
parts:  a capture system, and a control device (e.g.,
afterburner, baghouse, or scrubber).  The control efficiency
of each component is determined separately and the overall
control efficiency is the product of the capture system and
control device efficiency.   (Note:  The measured overall
control efficiency will not reflect control or emission
reduction due to process and operational changes.)
                            B-18

-------
     The efficiency of the capture system is defined as the
ratio of the mass of emissions directed to the control
device to the total mass of emissions from the secondary
lead smelter.  The mass of pollutant in each applicable vent
is determined by measuring the concentration and the flow
rate using standard U.S. EPA test methods.  The recommended
methods are discussed below.
     Stack emission testing techniques would be needed to
measure pollutant concentration and gas flow rate in stacks
and ducts such as:  inlets and outlets of control devices;
exhaust streams from process equipment; uncontrolled exhaust
streams venting directly to the atmosphere; and intermediate
process streams such as hood exhausts.  The particular
streams to be measured depend upon the applicable
regulation.
     The results from the pollutant concentration
measurement and flow rate measurement can be combined and
used in several ways.  If a regulatory format is a
concentration basis, then only pollutant concentration
measurement is needed and the result can be used directly.
If the regulatory format is a mass emission basis (i.e.,
mass emitted per unit of production, or mass emitted per
unit of time), then the concentration and flow rate results
are combined to calculate the mass emission rate in pounds
per hour or pounds per production unit.  If the regulatory
format is an efficiency basis, then mass emission rates are
determined for both the inlet and outlet emission streams
and the efficiency is calculated.
     The performance test procedures in the applicable
regulation will define the test length and the conditions
under which testing is acceptable, as well as the way the
reference test method measurements are combined to obtain
the final result.
     The three types of control devices that are expected to
be used in the secondary lead smelting industry are
afterburners, baghouses, and scrubbers.  The test procedure
to determine efficiency is the same for each control
                            B-19

-------
technology.  To determine the efficiency of the emission
control device, the pollutant mass flow rate in the inlet
and outlet streams must be determined.  To determine the
mass of pollutant in a stream, both the concentration and
flow rate must be measured..  The recommended methods are
discussed below.
     The length of a performance test is specified in the
applicable regulation and is selected to be representative
for the industry and process being tested.  The length of a
performance test should be selected to be long enough to
account for variability in emissions due to start-up and
shut-down operation times and routine process problems.
Also, the performance test time period should correspond to
the cycles of the emission control device.
     The total length of a performance test could vary from
plant to plant.  In general, a performance test would
consist of three to six runs, each lasting from 1/2 to 3
hours.  It is estimated that, for most operations, the field
testing could probably be completed in 2 to 3 days (i.e.,
two or three 8-hour work shifts) with an extra day for
setup, instrument preparation, and cleanup.
3.1  GAS VOLUMETRIC FLOW MEASUREMENT
     Methods 1, 2, 3, 3B, and 4 are recommended as
appropriate for determination of the volumetric flow rate of
gas streams.4  Methods 1 and 2 are used in stacks with
steady flow and with diameters greater than 12 inches.
Method 1 is used to select the sampling site, and method 2
is used to determine the volumetric flow rate using an
S-type pitot tube and a velocity traverse technique.
Methods 3 and 4 provide fixed gases analysis and moisture
content, which are used to determine the gas stream
molecular weight and density in method 2.  Method 3B gives
more accurate results than raethod 3.
     If the flow in a large duct  (greater than 12 inches
diameter) is not steady or continuous, then method 2 may be
modified to continuously monitor the changing flow rate in
                            B-20

-------
the stack.  A continuous 1-point pitot tube measurement is
made at a representative location in the stack.
     Measurement results do not need to be adjusted to dry
conditions (using method 4 for moisture) if the pollutant
concentrations are measured in the gas stream under actual
conditions; for example, if the pollutant concentrations are
reported as parts of pollutant per million parts of actual
(wet) volume (ppmv).  If the concentrations are measured on
a dry basis (gas chromatographic techniques or method 25),
then the volumetric flow rate must correspondingly be
adjusted to a dry basis.
3.2  METALS AND PARTICULATE MATTER EMISSIONS
     Emissions of PM and trace metals (including lead, Cd,
and, under certain conditions, Hg) can be measured
simultaneously using the methodology for the multi-metals
test train, which is also called the "Determination of
Metals Emissions in Exhaust Gases from Hazardous Waste
Incineration and Similar Combustion Processes"
(EPA/530-SW-91-0101, December 1990).
     Method 3B, using the integrated sampling technique, is
recommended for measurement of 02 and C02 when emission rate
correction factor determination is required.
     Sections 4 and 6 of method 5 specify the analytical
procedures and calculations used for particulate
determination.  Mercury should be analyzed by cold vapor
atomic absorption spectroscopy.  The other metals should be
analyzed using inductively coupled plasma atomic emission
spectroscopy or atomic absorption spectroscopy.
3.3  LEAD AND PARTICULATE MATTER EMISSIONS
     Method 12 is recommended for measuring particulate,
lead, and moisture.  Particulate determination is identical
to that described in section 3.2.  Lead can be analyzed
using atomic absorption spectroscopy.
3.4  SEMI-VOLATILE ORGANIC EMISSIONS
     Semi-volatile organics should be collected by
method 0010.   Method 8270 for high resolution gas
                            B-21

-------
chromatography (HRGC) with low resolution mass spectrometry
(LRMS) can be used for the analysis procedures.
3.5  VOLATILE ORGANIC EMISSIONS
     Volatile organic emissions can be determined by many
different methods depending on the circumstances.  These
methods are discussed below.5
     As described in the source tests, volatile organic
emissions can be determined using a method 0030 (VOST)
sampling train or EPA TO-14 procedures.  The volatile
organics in the VOST tube samples can be identified and
quantified using the method 5040 purge-trap-desorb (P-T-D)
GC/MS procedure.  The volatiles in the condensate samples
can be analyzed using method 8240.
     Another recommended VOC measurement method is
EPA reference method 25A, "Determination of Total Gaseous
Organic Concentration Using A Flame lonization Analyzer"
(FIA).  This method measures the expected VOC emissions
accurately, is practical for long-term intermittent testing,
and provides a continuous record of VOC concentration.
     Gas chromatography  (GC) analysis on integrated bag
samples collected following method 18 may be useful because
results are on the basis of true hydrocarbon concentrations
for each compound in the gas.  However, the GC sample
technique is not a continuous measurement and might be
cumbersome and impractical because of the length of the
testing.
     Method 25B, "Determination of Total Gaseous Organic
Concentration Using a Nondispersive Infrared Analyzer," is
identical to method 25A  except that a different instrument
is used.  Method 2SB applies to the measurement of total
gaseous organics consisting primarily of alkanes.  The
sample is extracted as described in method 25A and is
analyzed with a NDIR analyzer.  One drawback is the fact
that  NDIR analyzers are  not sensitive in low concentration
ranges  (less than 50 ppmv).
      Method 25, "Determination of Total Gaseous Nonmethane
Organics Content" can also be considered.  A 30- to-
                            B-22

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60-minute integrated sample is collected in a sample train,
and the train is returned to the laboratory for analysis.
The collected organics are converted in several analytical
steps to methane and the number of carbon atoms (less
methane in the original sample) is measured.  Results are
reported as organic carbon equivalent concentration.  The
method 25 procedure takes integrated samples instead of
continuously sampling and recording the concentration.  As
with method 25B, method 25 is not sensitive in low
concentration ranges (less than 50 ppmv).  However,
method 25 has the advantage that it counts each carbon atom
in each compound and does not have a varying response ratio
for different compounds.
3.6  PCDD/PCDF EMISSIONS
     The recommended performance test method for PCDD/PCDF
is method 23.6  Sampling of the PCDD/PCDF emissions is
performed using the modified method 5 sampling train
originally described in method 0010 of SW-846, with
methylene chloride and toluene used as the rinse reagents
during sample recovery.  The duration of PCDD/PCDF sampling
runs for a particular source should be based on the emission
standard, the expected concentration of 2,3,7,8-TCDD  (the
most toxic PCDD/PCDF congener), and the laboratory detection
limit.  A typical sampling run time is 4 hours.
     The samples are extracted using methylene chloride and
toluene and cleaned up using a variety of silica-, alumina-,
and carbon-based columns.  HRGC/HRMS is used for analysis.
Without HRGC, it is impossible to achieve adequate
separation of the PCDD/PCDF isomer groups.  Without HRMS, it
is impossible to utilize the isotopically-labeled internal
standards necessary to quantify individual congeners.
HRGC/HRMS also provides the highest sensitivity and,
therefore, the lowest detection limits.  The PCDD/PCDF
analysis includes quantification of the 15 2,3,7,8-
substituted congeners (tetra through octa) and the other
non-2,3,7,8-substituted congeners by homologous groups
(tetra-through octa-PCDD/PCDF).  At least one isotopically-
                            B-23

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labeled internal standard per class of chlorination (tetra
through hepta) and per class of compound (dioxin/furan) is
used to characterize and quantify the 15 2,3,7,8-substituted
congeners.  The recoveries of the standards are used to
assess and, more importantly, quantitatively correct for
losses during the entire analytical procedure.  Surrogate
standards are used to assess losses during sample
collection, while the recovery standards are used to assess
losses during the instrumental analysis.  A "confirmational"
analysis is conducted when 2,3,7,8-TCDF is detected using
the 60-m DB-5 column.  For confirmation of this isomer,
another column is used to separated it from the close-
eluting isomers.
     Method 3B is used to measure ©2 and CO2 for normalizing
the PCDD/PCDF concentrations to a standard basis.
3.7  ALDEHYDE/KETONE EMISSIONS
     Method 0011 is the recommended method to determine the
aldehydes and ketones.  The recommended analytical
procedures are specified in methods 0011 and 0011A using
HPLC.
3.8  FILTERABLE PARTICULATE, PM10, AND CONDENSIBLE
     PARTICULATE EMISSIONS
     Filterable particulate can be determined from the
multi-metals test train or from method 12 sampling.
Combined methods 201A and 202 can be used to collect PM^o
and condensible particulate.  Method 202 details the
analytical procedures.
3.9  HYDROGEN CHLORIDE EMISSIONS
     Hydrogen chloride emissions should be measured using
proposed method 26A.7  A three-run performance test using
proposed method 26A offers the-additional advantage that PM
can be measured using the same sampling train, if desired.
3.10 THC EMISSIONS
     THC should be monitored continuously during each test
using method 25A flame ionization detection (FID)
procedures.
                            B-24

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3.11 CARBON MONOXIDE EMISSIONS
     Performance testing for CO should be conducted using
method 10 (an instrumental method) or method 10B.8
3.12 SULFUR DIOXIDE EMISSIONS
     It is recommended that SO2 emissions be measured using
method 6 or method 6C (an instrumental method).9
3.13 OPACITY
     Determination of the opacity of emissions should be
conducted using method 9.10

4.0  MONITORING SYSTEMS AND DEVICES
     For some sources, continuous emissions monitoring
systems (CEMs) are used to demonstrate compliance with
emission standards on an on-going basis.  For other sources,
the purpose of monitoring is to ensure that the process and
emission control equipment are properly operated and
maintained after the performance test.  This may be
accomplished by direct monitoring of the regulated
pollutant(s) or monitoring of surrogate pollutants or
operational parameters.1]-
4.1  COMBUSTION PARAMETER MONITORING
     Combustibles in the lead charge are burned off during
the first hour after charging.  The CO concentration exiting
the furnaces is a direct indicator of the completeness of
combustion.  CO monitors are often installed preceding the
pollution control device(s); however, if other gases are to
be monitored, installation of the CO and associated monitors
at the control device outlet or stack location may be
possible.12
     Equipment for monitoring combustion temperature is
typically an integral part of the process monitoring system
installed for use in operation.
4.2  MONITORING OF CONTROL DEVICE GAS TEMPERATURES
     For some control devices, the exhaust stream
temperature has been identified as an indicator of control
efficiency, and temperature monitors are available.13  A
                            B-25

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monitoring location at the exit of a control device or inlet
to a particulate control device is required.
     Temperature monitoring devices are routinely used in
other process locations and installation and operation would
be easily accomplished.
4.3   SO2 MONITORING
     Emission monitoring of SO2 is indicative of the
emission level of SO2 and the relative level of HCl.
Monitoring SO2 at the inlet and outlet of control equipment
indicates the efficiency of the device for that pollutant.
Equipment is available for monitoring SO2 and monitoring
technology has evolved significantly since 1980.  Many EPA
studies have shown that reliable data can be obtained from
properly designed, operated, and maintained SO2 CEMs when
appropriate quality assurance procedures are applied.14
     Performance specifications for SO2 monitors are
contained in Performance Specification 2, Appendix B, 40 CFR
part 60.  Quality assurance, procedures for SO2 CEMs used to
demonstrate compliance with emission standards or percent
removal efficiency requirements are contained in Appendix F,
Procedure 1 of 40 CFR part 60  (promulgated June 4, 1987).
4.4  OPACITY MONITORING
     Monitoring equipment is commercially available and
routinely used to monitor the opacity of emissions.15  For
secondary lead smelters, the effluent opacity would be
indicative of operation and maintenance of the particulate
control equipment.
     Opacity monitors are installed in the breeching duct or
in the discharge stack downstream of the particulate control
device.  The appropriate measurement location depends upon
source-specific factors such as effluent ductwork
configuration, presence of vibration, ease of access to the
location, etc.  The orientation of the measurement path is
prescribed by applicable regulations for a selected
measurement location.  Detailed information is available on
installation, operation, maintenance, and quality assurance
activities for opacity monitors.  Performance specifications

                            B-26

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for these instruments are contained in Performance
Specification 1, Appendix B, 40 CFR part 60.  These
requirements were first promulgated on October 6, 1975;
substantial revisions were issued on March 30, 1983.
                            B-27

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5.0  REFERENCES

1.    Draft Emission Test Report.  HAP Emission Testing on
     Selected Sources at a Secondary Lead Smelter, Tejas
     Resources, Inc.  Terrell, Texas.  US EPA: EMB.
     December 1992.

2.    Medical Waste Incinerator Study:  Emission Measurement
     and Continuous Monitoring.  TSD Project No. 86/19.  US
     EPA: Office of Air Quality and Standards.  October 8,
     1992. p. 1.

3.    Reference 1.

4.    Surface Coating of Plastic Parts for Business Machines
     - Background Information for Proposed Standards.
     U. S. Environmental Protection Agency.  Research
     Triangle Park, North Carolina.  Publication
     No. EPA-450/3-85-019a.  December 1985.  pp. D-13 -
     D-14.

5.    Reference 4, pp. D-14 - D-17.

6.    Reference 2. pp. 38 - 39.

7.    Reference 2. p. 39.

8.    Reference 2. p. 39.

9.    Reference 2. p. 39.

10.  Reference 2. p. 38.

11.  Reference 2. p. 30.

12.  Reference 2. pp. 31, 33.

13.  Reference 2. pp. 35 - 36.

14.  Reference 2. pp. 34, 36.

15.  Reference 2. pp. 30 - 31.
                            B-28

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                         APPENDIX C

       SECONDARY LEAD SMELTER DATABASE WITH  ESTIMATED
                       DEFAULT VALUES
1.0  INTRODUCTION
     In order to estimate emissions and potential control
impacts of the National Emission Standards for Hazardous Air
Pollutants (NESHAP) being developed for the secondary lead

industry, data necessary for estimating impacts were
gathered and entered into the following database sections:

     •    General facility data (GEN_E.WRI)
     •    Furnace-specific data (FURN_E.WK1)
     •    Furnace-specific process fugitives data
          (PROFU1_E.WK1)
     •    Facility-specific process fugitives data
          (PROFU2_E.WK1)
     •    Area fugitives data (ARFUG_E.WRI)
     •    Baseline controls data
               Afterburners (ABURN_E.WK1)
               Baghouses (BHOUSE_E.WK1)

The methodologies used to create the database are discussed
in detail in a June 15, 1992, memorandum.1  Revisions to the
original database are described in a May 17, 1993,
memorandum.2
     The purpose of this appendix is to document the
methodologies used to develop the default values for

parameters for which actual values were not available

(section 2.0) and to present the database with default
values.
                             C-l

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2.0  PROCEDURES FOR DETERMINING DEFAULT VALUES
     Numerous parameter values in the database were not
available; therefore,  default values were created when
actual values were not known.  The methodologies used to
generate the default values for each parameter in each
section of the database are described in tables 1 through 7.
Where actual values were obtained for all facilities for a
given parameter, the methodology is noted as "complete" in
the tables.
Parameters that were not used to estimate emissions or
potential control impacts are so noted.
     The database with the default values added is shown in
attachment 1.  Confidential business information has been
blacked out.
                             C-2

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 TABLE  1.  DEFAULTS GENERATION METHODOLOGIES FOR GEN E.WK1
            Parameter
          Methodology
 Facility ID
 Facility Name
 City
 State
 Total Area
 Totally Enclosed (Y/N)
 Lead Production Capacity
 Principal Bottleneck
 Hours of Operation

 Actual Lead Production Rate

 Paste Desulfurization (Y/N)
 Number of Blast Furnaces
 Number of Reverb Furnaces
 Number of Rotary Furnaces
 Number of Electric Furnaces
Completea
Complete
Complete
Complete
Not used to estimate impacts.
Not used to estimate impacts.
Complete
Not used to estimate impacts.
Used 8760 as default because
most smelters operate
continuously.
Used average percent of
capacity utilization for known
plants to derive defaults.
Not used to estimate impacts.
Complete
Complete
Complete
Complete	
a Complete information was available for this parameter and
no
  default values had to be estimated.
                            C-3

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TABLE  2.  DEFAULTS GENERATION METHODOLOGIES FOR  FURN  E.WK1
Parameter
Methodology
Facility ID
Furnace ID
Afterburner ID
Baghouse ID
Scrubber ID
Furnace Type
If Blast, used with Reverb
(Y/N)
Hours in Operation
Actual Charge of Grids, Plates,
and Posts

Actual Charge of Slag
Percent Lead in Slag
Actual Charge of Scrap
Percent Lead in Scrap
Actual Charge of Non-Lead
Agents
Lead Production Capacity of
Furnace
Slag Production at Lead
Production Capacity
Actual Lead Production of
Furnace
Complete
Complete
Complete
Complete
Complete
Complete
Complete

Used 8760 as default because
most furnaces operate
continuously.
Based defaults on actual lead
production and battery
composition data.a
For blast furnaces, based
defaults on average ratio of
slag charged to lead produced.

For other furnaces, 0 used as
default because industry does
not typically charge a
significant amount of slag to
other furnaces.
Not used to estimate impacts.
Used 0 as default since most
smelters charge a relatively
small portion of scrap.
Not used to estimate impacts.
Based defaults on the average
ratio of non-lead agents to
lead production for each
furnace type.
Actual lead production used as
default.
Based defaults on the average
ratio of slag production to
lead production for each
furnace type.
Lead production capacity used
as default.
                            C-4

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 TABLE 2.  DEFAULTS GENERATION METHODOLOGIES FOR FURN_E.WK1
                         (Continued)


Parameter	Methodology	
Actual  Slag Production of        Based defaults on the average
Furnace                         ratio of slag production to
                                 lead production for each
                                 furnace type.
Exhaust Rate  (dry  stand  m3/min)  Defaults based on average ratio
                                 of exhaust rate to lead
                                 production for each furnace
                                 type.
Exhaust Rate  (act. m3/min)       Calculated from dry standard
                                 exhaust rate, percent moisture,
                                 and temperature.
Exhaust Temperature              Defaults based on average for
Percent Moisture                 each furnace type.
Percent Oxygen
Lead  concentration
Sulfur  dioxide concentration
a Reference 3.
                            C-5

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TABLE 3.  DEFAULTS GENERATION METHODOLOGIES FOR PROFU1 E.WK1
 Parameter
Methodology
 Facility  ID
 Furnace ID
 Lead Tapping  Baghouse  ID
 Lead Tapping  Scrubber  ID
 Slag Tapping  Baghouse  ID
 Slag Tapping  Scrubber  ID
 Charging  Area Baghouse ID
 Charging  Area Scrubber ID
 Hopper/Skip Hoist  Baghouse  ID
 Hopper/Skip Hoist  Scrubber  ID
 Conveyor  (Y/N)

 Conveyor  Totally Enclosed
 (Y/N)

 Conveyor  Baghouse  ID
 Conveyor  Scrubber  ID

 Drying Kiln  (Y/N)
 Drying Kiln Baghouse ID
 Drying Kiln Scrubber ID
Complete
Complete
Complete
Complete
Complete
Complete
Complete
Complete
Used "none" as default because
most are not controlled.
Used "N" as default because most
furnaces do not have a conveyor.
Used "Y" as default because most
conveyors at smelters are
totally enclosed.
Used "none" as default because
most are not ventilated to a
control device.
Used "N" as default because most
furnaces do not have drying
kilns.
Complete for furnaces with
drying kilns.	
                             C-6

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TABLE 4.  DEFAULTS GENERATION METHODOLOGIES FOR PROFU2 E.WK1
 Parameter
Methodology
 Facility ID
 Battery  Breaker  (Y/N)
 Equipment Used
 Hours  of Operation

 Battery  Breaker  Baghouse  ID
 Battery  Breaker  Scrubber  ID
 Number of Dust Agglomerating
 Furnaces
 Dust Agglomerating Furnaces
 Baghouse ID
 Dust Agglomerating Furnace
 Scrubber ID
 Number of Refining Kettles
 Refining Kettles Baghouse ID
 Refining Kettles Scrubber ID
 Number of Casting Machines
 Casting Machine  Baghouse  ID
 Casting Machine  Scrubber  ID
Complete
Complete
Complete
Used average of known values as
default.
Complete
Complete
Complete

Complete

Complete

Complete
Complete
Complete
Used 1 as default because most
smelters operate only 1 casting
machine.
Used "none" as default because
most smelters do not control
casting machines.
                            C-7

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TABLE 5.  DEFAULTS GENERATION METHODOLOGIES FOR ARFUG E.WK1
Parameter
Methodology
Plant Roadways
All Roadways Paved (Y/N)
Wet Suppression (Y/N)
Power Washing (Y/N)
Area Vacuumed (Y/N)
Trailer (km/yr)
Battery Receiving/Breaking Area
Area (m2)
Is Area Paved (Y/N)


Totally Enclosed (Y/N)



Area of Open Sides

Roof (Y/N)
Baghouse ID
Scrubber ID

Wet Suppression  (Y/N)
Power Washing  (Y/N)
Area Vacuumed  (Y/N)
Trailer (km/yr)
Front-end Loader  (km/yr)
Forklift (km/yr)

Materials Storage Area
Area  (m2)
Used "Y" as default because
most plant roadways are
paved.
Used "N" as default because
generally stated in
references if performed.
Defaults calculated using
ratio of known vehicle
travel distances to known
actual lead production.


Defaults calculated using
ratio of known areas to
known lead production
capacity.
Used "Y" as default because
most battery receiving/
breaking areas are paved.
Used "Y" as default because
most battery receiving/
breaking areas are totally
enclosed.
Default calculated as
average of known values.
Used "Y" as default because
most battery receiving/
breaking areas have roofs.
Used "none" as default
because generally stated  in
references if controlled.
Used "N" as default because
generally stated in
references if performed.
Defaults calculated using
ratio of known vehicle
travel distances to known
actual lead production.


Defaults calculated using
ratio of known areas to
known lead production
capacity.	
                            C-8

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TABLE 5.  DEFAULTS GENERATION METHODOLOGIES FOR ARFUG_E.WK1
                        (Continued)
Parameter
Methodo1ogy
Is Area Paved (Y/N)


Totally Enclosed (Y/N)


Area of Open Sides

Roof (Y/N)
Baghouse ID
Scrubber ID

Wet Suppression (Y/N)
Power Washing  (Y/N)
Area Vacuumed  (Y/N)
Front-end Loader (km/yr)
Forklift (km/yr)
Furnace Area and Refining and
Casting Area
Area (m2)
Is Area Paved  (Y/N)


Totally Enclosed  (Y/N)


Area of Open Sides

Roof (Y/N)
Baghouse ID
Scrubber ID

Wet Suppression (Y/N)
Power Washing (Y/N)
Area Vacuumed (Y/N)
Used "Y" as default because
materials storage areas are
paved.
Used "Y" as default because
most materials storage areas
are totally enclosed.
Default calculated as
average of known values.
Used "Y" as default because
most material storage areas
have roofs.
Used "none" as default
because generally stated in
references if controlled.
Used "N" as default because
generally stated in
references if controlled
Defaults calculated using
ratio of known vehicle
travel distances to known
actual lead production.

Defaults calculated using
ratio of known areas to
known lead production
capacity.
Used "Y" as default because
most furnace areas are
paved.
Used "Y" as default because
most furnace areas are
totally enclosed.
Default calculated as
average of known values.
Used "Y" as default because
most furnace areas have
roofs.
Used "none" as default
because generally stated in
references if controlled.
Used "N" as default because
generally stated in
references if performed.	
                            C-9

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TABLE 5.  DEFAULTS GENERATION METHODOLOGIES FOR ARFUG_E.WRI
                        (Continued)
Parameter
Methodology
Front-end Loader (km/yr)
Forklift (km/yr)
Materials Transport Area
Area (m2)
Is Area Paved (Y/N)


Totally Enclosed (Y/N)



Area of Open Sides

Roof (Y/N)
Baghouse ID
Scrubber ID

Wet Suppression (Y/N)
Power Washing (Y/N)
Area Vacuumed (Y/N)
Trailer (km/yr)
Front-end Loader (km/yr)
Forklift (km/yr)

Cast Lead Storage Area
Area (m2)
Is Area Paved  (Y/N)
Totally Enclosed  (Y/N)
Area of Open Sides
Defaults calculated using
ratio of known vehicle
travel distances to known
actual lead production.


Defaults calculated using
ratio of known areas to
known lead production
capacity.
Used "Y" as default because
most materials transport
areas are paved.
Used "N" as default because
most materials transport
areas are not totally
enclosed.
Default calculated as
average of known values.
Used "N" as default because
most materials transport
areas do not have roofs.
Used "none" as default
because generally stated in
references if controlled.
Used "N" as default because
generally stated in
references if performed.
Defaults calculated using
ratio of known vehicle
travel distances to known
actual lead production.


Defaults calculated using
ratio of known areas to
known lead production
capacity.
Used "Y" as default because
most cast lead storage areas
are paved.
Used "Y" as default since
most cast lead storage areas
are totally enclosed.
Default  calculated as
average  of known values.
                            C-10

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TABLE 5.  DEFAULTS GENERATION METHODOLOGIES FOR ARFUG_E.WK1
                        (Continued)
Parameter
Methodology
Roof (Y/N)
Baghouse ID
Scrubber ID

Wet Suppression (Y/N)
Power Washing (Y/N)
Area Vacuumed (Y/N)
Front-end Loader (km/yr)
Forklift (km/yr)
Used "Y" as default because
most cast lead storage areas
have roofs.
Used "none" as default
because generally stated in
references if controlled.
Used "N" as default because
generally stated in
references if performed.
Defaults calculated using
ratio of known vehicle
travel distances to known
actual lead production.
                           C-ll

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TABLE 6.  DEFAULTS GENERATION METHODOLOGIES FOR ABURN E.WK1
Parameter
Methodology
Furnace ID
Afterburner ID
Process Equipment Served
Operating Temperature


Residence Time


Exhaust Rate (act. m3/min)

Exhaust Rate (std. m3/min)
Percent Moisture
Percent Oxygen
Complete
Complete
Complete
Minimum known operating
temperature used as default to
be conservative.
Minimum known residence time
used as default to be
conservative.
Calculated from standard
m3/min and temperature.
Defaults calculated using
ratio of known exhaust rates
to known lead production
capacity.
Default based on average of
known values.
                            C-12

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TABLE 7.  DEFAULTS GENERATION METHODOLOGIES FOR BHOUSE_E.WK1
 Parameter
Methodology
 Baghouse  ID
 Process/Equipment  Served
 Type  of Cleaning

 Fabric Type

 Exhaust Rate  (act.  m3/min)

 Exhaust Rate  (std.  m3/min)

 Inlet Temperature
 Percent Moisture
 Percent Oxygen

 Fabric Area
 Air-to-Cloth Ratio
 Number of Bags
 Average Pressure Drop


 Lead Outlet Concentration
 Scrubber Lead Outlet
 Concentration (if applicable)
Complete
Complete
Shaker used as default because
most used shaker.
Acrylic bags used as default
because most used acrylic.
Calculated from standard m3/min
and temperature.
Calculated from actual m3/min
and temperature.
Defaults based on average for
the type of equipment served
(furnace or sanitary).
Defaults based on average for
the type of equipment served
(furnace or sanitary).
Calculated from exhaust flow and
air-to-cloth ratio; multiplied
by 1.25 to get gross fabric area
for shaker baghouses; no
multiplier used for pulse jet
and reverse-air baghouses.
If fabric area available, then
calculated from exhaust flow and
fabric area; fabric area divided
by 1.25 to get net air-to-cloth
ratio; if fabric area not
available, then defaults
calculated as average for each
fabric type.
Not used to estimate impacts.
Defaults calculated as average
for type of equipment served
(furnace or sanitary).
Defaults calculated as average
for type of equipment served
(furnace or sanitary).
Defaults calculated as average
for type of equipment served
(furnace or sanitary).
                            C-13

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4.0  REFERENCES

1.    Memorandum from Pelt, R., Radian Corporation, to George
     Streit, EPA/ISB.  June 15, 1992.  Development of
     Databases for Existing and New Secondary Lead Smelters
     (Final).

2.    Memorandum from Pelt, R., Radian Corporation, to George
     Streit, EPA/ISB.  May 17, 1993.  Documentation of Input
     Data Bases Defaults.

3.    Memorandum from Pelt, R., Radian Corporation, to
     Secondary Lead Project File.  April 22, 1993.  Battery
     Composition Data (Final).
                            C-14

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         ATTACHMENT  1

SECONDARY LEAD SMELTER DATABASE
      WITH DEFAULT VALUES
             C-15

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                         APPENDIX D
          BASELINE EMISSION ESTIMATION PROCEDURES


     This appendix presents the baseline emissions estimates
for 23 model plants representing the secondary lead industry
and the methodology used in developing these estimates.
Baseline emissions are defined as the emissions that would
occur in the absence of any additional Federal regulations,
and they take into account limits imposed by current
Federal, State, or local regulations, including emission
permit limitations.
     Section 1.0 of this appendix presents a baseline
emissions estimates summary.   Section 2.0 presents the
baseline emissions estimates for process emissions of metal
and organic hazardous air pollutants (HAP's) and
hydrochloric acid (HC1) from smelting furnaces.  Section 3.0
presents the baseline emissions estimates for metal HAP
emissions from sanitary (process fugitive) sources.
Section 4.0 presents the baseline emissions estimates for
metal HAP emissions from fugitive dust sources.  The data
and methodologies used to estimate these emissions are
presented and described in detail in the attachments to this
appendix.

1.0  BASELINE EMISSIONS ESTIMATES SUMMARY
     Baseline emissions estimates for HAP emissions from
secondary lead smelters are presented by facility and
pollutant type in table 1-1.   The baseline emissions
estimates for metal HAP's are subdivided into emissions
                                                f
estimates for process, process fugitive, and area fugitive
                            D-l

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-------
sources.  Facilities that emit greater than 22.7 megagrams
per year (Mg/yr) [25 tons per year (tpy)] of a combination
of HAP's are considered major sources.  Fourteen of the
23 facilities listed in table 1-1 are estimated to emit more
than 25 tpy of total HAP's and would qualify as major
sources.  Those facilities emitting less than 25 tpy of
HAP's also emit less than 9.1 Mg/yr (10 tpy) of any single
HAP.
     Organic HAP's are the largest category of HAP's emitted
from secondary lead smelters and are a significant factor in
whether or not a facility is a major source.  The largest
sources of organic HAP emissions are poorly controlled blast
furnaces, and 12 of the 14 facilities that are major sources
have blast furnaces.  Five facilities with small or well-
controlled blast furnaces are not major sources.  Only two
facilities without blast furnaces (i.e., those operating
only rotary or reverberatory furnaces) are major sources of
HAP's.
1.1  PROCESS EMISSIONS SUMMARY
     Process emissions from smelting furnace exhaust gases
include metal HAP's, HC1, and organic HAP's.  Separate
estimates of baseline emissions were prepared for each of
these pollutants.
1.1-1  Metal HAP's
     The baseline estimates for process emissions of metal
HAP's were developed from emissions limits for particulate
matter  (PM) and lead, which were used as surrogates for
metal HAP's.  Based on these estimates, process sources
appear to be relatively large sources of metal HAP
emissions.  However, this method overestimates emissions
compared to actual emissions: estimated  from stack testing
data because the majority of facilities are achieving much
better PM and lead control in practice  than required by
existing regulations.  Because of this  greater level of
control, actual metal HAP emissions were also included in
table 1-1.  Actual process emissions  of metal HAP's are
generally less  than 10 percent of emissions estimated from
                             D-4

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emission limits.  This difference indicates that nearly all
furnaces are achieving significantly greater control of PH
and lead emissions than required by current emission limits.
The potential for reductions of metal HAP's emissions from
furnace sources is therefore significantly less than
indicated by the emissions estimate based on emission
limits.
1.1.2  Organic HAP's
     Organic HAP's from smelting furnaces are the largest
category of HAP's emitted, with total national emissions in
excess of 1,720 Hg/yr (1,900 tpy).  The baseline emissions
estimates for organic HAP's were developed from stack
testing data.  These data indicate that the largest
contributors are blast furnaces, unless they are controlled
by an afterburner or by combining exhaust streams with a
reverberatory furnace.
1.1.3  HC1
     Baseline emissions of HC1 are greater than emissions of
metal HAP's but lower than emissions of organic HAP's.
Total national emissions are about 730 Mg/yr (800 tpy).  The
HC1 baseline emissions estimates were developed from stack
testing data at three facilities.1/2/3  These data include
HC1 emission measurements made at both the inlet and outlet
of sulfur dioxide (802) scrubbers.
1.2  PROCESS FUGITIVE EMISSIONS SUMMARY
     Baseline estimates of metal HAP emissions from process
fugitive sources are presented in table l-l.  Generally,
these represent process fugitive emissions captured by hoods
and controlled by a baghouse or scrubber.  All but one
process fugitive emissions source are controlled by hoods
and a baghouse or scrubber.  The one exception is the blast
furnace charging chute at facility 15, which has no hood.
The process fugitive emissions estimate for facility 15
includes the uncontrolled emissions from the blast furnace
charging.
     The process fugitive emissions that escape/the hood at
sources controlled by hoods were assumed to contribute to
                             D-5

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fugitive dust emissions from the furnace and refining
casting area and were no longer counted as process fugitive
emissions.  However, the process fugitive emissions from the
uncontrolled blast furnace charging chute at facility 15
were still counted as process fugitive emissions.  This
assumption was necessary for this unique source in order to
correctly estimate emissions and emissions reductions if a
control (e.g., a hood vented to a baghouse) was applied to
this source.
     The baseline process fugitive emissions estimates were
developed primarily from AP-42 emission factors.  Total
national emissions are about 90 Mg/yr (100 tpy) of metal
HAP's, and individual facility emissions estimates-range
from 0.4 Mg/yr (0.4 tpy) to 30 Mg/yr (33 tpy).  However,
these baseline emissions estimates may be greater than
actual controlled process fugitive emissions estimates.
Table 1-2 compares the baseline emissions estimates to
sanitary baghouse emissions data and indicates that sanitary
baghouse emissions are generally lower than the baseline
emissions estimates.  This discrepancy may be due to the
possibility that the AP-42 emission factors overestimate
uncontrolled process fugitive emission rates or that the
actual sanitary baghouse efficiency is greater than the
assumed control efficiency of 99 percent used to estimate
controlled emission rates.
1.3  FUGITIVE DUST EMISSIONS SUMMARY
     Baseline fugitive dust emissions estimates were
developed using standard emission factor equations, with
literature values and model plant data for input parameters.
Fugitive dust emissions estimates of metal HAP's total
100 Mg/yr  (110 tpy), and estimates for individual facilities
range from 0.1 Mg/yr (0.1 tpy) to 19 Mg/yr (21 tpy).
     The baseline fugitive dust emissions estimates are
consistent with estimates of fugitive dust emissions that
are based on ambient air measurements and industrial source
complex modeling.   Fugitive dust emissions are gfirobably the
largest actual source of metal HAP's and the  source-for
                             D-6

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TABLE 1-2.
BASELINE CONTROLLED PROCESS FUGITIVE
EMISSIONS ESTIMATES COMPARED TO ACTUAL
SANITARY BAGHOUSE EMISSIONS DATA
Facility
ID
3
4
5
8
9
10
16
17
19
26
29
Baseline
Metal HAP's
(Mg/yr)
8.16
2.11
1.45
2.56
1.78
2.57
2.71
3.71
0.81
2.50
0.71
Actual
Metal HAP's
(Mg/Yr)
0.35
0.57
0.04
0.14
0.58
0.05
0.49
0.01
0.08
0.43
0.75
Percentage
4.3
27.0
2.8
5.6
32.3
.1.9
18.2
0.3
9.6
17.0
105.3
                       D-7

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which there is the greatest potential for  further  emissions
reductions of metal HAP's.

2.0  PROCESS EMISSIONS
     The following subsections present the baseline
emissions estimates and methodology for estimating emissions
of metal HAP's, organic HAP's, and HC1 from process  sources
(smelting furnaces).  More detailed descriptions of  the
methodology and data used in generating these  estimates  are
included in attachments A through D.
2.1  BASELINE PROCESS EMISSIONS OF METAL HAP's
     The baseline level of control for metal HAP's is  a
baghouse.  All smelters currently use a baghouse to  control
PM and  lead, the surrogates for metal HAP's.   Baseline
process emissions estimates for metal HAP's were developed
from emission limits for lead or for PM if there was no
applicable limit for lead.  These estimates were performed
on a facility-by-facility basis.  Thirteen facilities  are
covered by State or local rtigulations or permit limitations
for lead emissions.  The remainder are covered by  the
current Federal standard thcit limits emissions of  PM to
50 milligrams per dry standeird cubic meter (mg/dscm)
 [0.022  grains per dry standard cubic foot  (gr/dscf)].
     To estimate metal HAP limits from PM  and  lead limits,
ratios  were developed from emissions data. The ratios
developed for process emissions were 0.3 for lead-to-PM  and
1.4 for metal HAP's-to-lead.  Flow rates for model plants
were used to convert concentration limits  to mass  emission
rates  (Mg/yr).  The other significant metal HAP's  besides
lead compounds are antimony  (Sb), cadmium  (Cd), and arsenic
 (As) compounds.  The methodology and data  used to  develop
the lead-to-PM ratio and metal HAP's-to-lead ratio are
described  in more detail  in attachments A  and  B.
-Attachment A also  includes  furnace-specific  baseline
emissions  estimates and allowable  lead  emission limits.
      Baseline  emissions estimates  for process  sources of
metal  HAP's  are  presented by  facility  in table 1-1,-above.
                             D-8

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As stated in section 1.0, the baseline emissions estimates,
based on allowable emissions, overestimate emissions when
compared to stack testing data.  Therefore, actual metal HAP
emissions estimates from process sources are also presented
in table 1-1.  These were determined from facility-specific
source testing data, when available.  Otherwise, they were
estimated using a controlled lead concentration of
0.59 mg/dscm or 0.00026 gr/dscf, based on results of EPA-
sponsored testing at two facilities.1/2  Nearly all
facilities are achieving greater control of PM and lead, and
therefore metal HAP's, than required by Federal, State, or
local emission limits.
2.2  BASELINE PROCESS EMISSIONS OF ORGANIC HAP's  _
     Baseline organic HAP emissions estimates were made on a
facility-by-facility basis, taking into account the furnace
type used and control characteristics.  Baseline organic HAP
emissions were estimated using test data.  From uncontrolled
concentrations of total hydrocarbon (THC) and organic HAP's
measured during testing, a relationship of 0.19 kilograms
(kg) organic HAP's/1 kg THC emissions was developed.  The
ratio was applied along with model plant flow data to the
average controlled THC concentrations from test data for
each furnace type to estimate organic HAP emissions.
Attachment C provides details on the methodology used in
estimating baseline emissions of THC and organic HAP's.
     Table 2-1 summarizes the baseline organic HAP emissions
estimates by furnace type and organic HAP emission control
technology.  The predominant organic HAP compounds are
carbon disulfide, benzene, styrene, and 1,3-butadiene.
Blast furnaces have a much higher organic HAP emissions
potential than the other furnace types.  Most blast furnaces
are equipped with an afterburner to reduce organic
emissions.  The amount of control achieved by an afterburner
is a function of the afterburner design.  For blast furnaces
equipped with an afterburner, the afterburner temperature
was used to estimate the organic removal efficiency.
                             D-9

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     TABLE  2-1.  BASELINE LEVEL OF ORGANIC HAP EMISSION
                 CONTROL BY  FURNACE  CONFIGURATION
 Facility           Organic HAP Controls           Baseline
    ID                                              Organic
                                                    HAP's
__ (Mg/yr)
 Facilities  with  Blast  Furnaces Only:
9
27
5
25
2
16
6
12
None
Afterburner
None
None
Afterburner
Afterburner
Afterburner
Afterburner
222.5
190.4
178.0
132.2
93.3
48.0
16.9
1.1
 Facilities with Blast Plus  Reverberatory and/or Rotary
 Furnaces :                                          -
13
26
3
28
15
23
8
14
22
Afterburner
None
Afterburner
Afterburner
None
Combined Furnace
Combined Furnace
Combined Furnace
Combined Furnace





Exhausts ;
Exhausts ;
Exhausts ;
Exhausts ;





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Afterburner
Afterburner
Afterburner
388.7
206.0
88.8
66.4
23.6
7.0
6.4
5.2
5.9
 Facilities with Reverberatory and/or Electric Furnaces:
    10     None                                       5 . 4
    4      None                                       3 . 5
    17     None __ 3.0
 Facilities with Rotary Furnaces Only:
    19     None                                       14.2
    29     None                                       12.4
    20     None                                       8.9
                             D-10

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Attachment C provides details on the methodology used in
assigning organic HAP removal efficiencies for afterburners.
     There are 23 blast furnaces in the secondary lead
industry, and 18 of them are controlled by afterburners.  At
five of the blast furnaces controlled by afterburners, the
exhaust gases are combined with the hotter exhaust from a
reverberatory furnace before being ducted to the
afterburner.  Five blast furnaces are not controlled by
afterburners or through combined exhaust with a
reverberatory furnace.  The emissions estimates show blast
furnaces to be the largest source of organic HAP emissions
unless they are controlled by an afterburner or by combining
exhaust streams with a reverberatory furnace.
     Relative to metal HAP's and HC1, organic HAP's are the
largest mass fraction of HAP's emitted.  Organic HAP's are
not subject to any Federal emission limits and are not
generally subject to State emission limits.
2.3  BASELINE PROCESS EMISSIONS OF HCL
     Baseline emissions of HC1 were estimated using emission
factors developed from emissions testing data.1/2/3
Separate emission factors, expressed as kilograms of HC1
emitted per megagram of lead product, were developed for
rotary, blast, and reverberatory smelting furnaces.  No HC1
emissions data are available for the electric furnace being
used at one facility to smelt lead.  Because this electric
furnace process only slag from a reverberatory furnace, the
emission factor for a reverberatory furnace with a scrubber
was also applied to the electric furnace.  Hydrochloric acid
emission factors are presented in table 2-2.  Uncontrolled
HC1 emissions from the reverberatory furnace were much
higher than from the blast and rotary furnaces, but
controlled emissions were similar for all three furnace
types tested.  The baseline emissions estimates for HC1 are
presented by facility in table 1-1.  Baseline emissions
estimates for HCl by individual furnaces are presented in
attachment D.                                   >
                            D-il

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   TABLE  2-2.   EMISSION  FACTORS  FOR HYDROCHLORIC ACID
               BASED ON LEAD PRODUCTION  (kg/Mg)

   Furnace type	Without scrubber	With scrubber
Blast                    0.00606             0.00606
Reverberatory            2.1                 0.00752
Rotary                   0.00103             0.00103
Electric                 0.00752             0.00752
                          D-12

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3.0  PROCESS FUGITIVE EMISSIONS
     Process fugitives emissions include metal HAP emissions
from battery breaking, dust-agglomerating furnaces, refining
and casting operations, and smelting furnace process
fugitive sources (charging and lead and slag tapping).
Baseline estimates for process fugitive emissions of metal
HAP's from dust-agglomerating furnaces, refining and casting
operations, and smelting furnace process fugitive sources
(charging and lead and slag tapping) were developed from
standard emission factors taken from EPA Publication
No. AP-42 (AP-42).  Battery breaker emission estimates were
based on a single test measurement  (all that was available)
at a battery breaker, where the uncontrolled lead emission
rate was estimated to be 0.020 pounds per hour (lb/hr).3
Baseline process fugitive emissions estimates for metal
HAP's are summarized in table 3-1.
     Process emissions may escape through blast furnace
charging systems, depending on the design, operation, and
maintenance of the furnace.  These fugitive emissions can be
a significant source of organic HAP emissions [53 Mg/yr
(58 tpy) from a single furnace]; however, no baseline
estimate is provided for these emissions because no estimate
is available on the number of furnaces with poorly balanced
air flow between the charging hood and the furnace exhaust.
     Furnace charging and tapping operations are generally
the largest sources of process fugitive emissions.  Dust-
agglomerating furnaces, when present, can also be large
sources of process fugitive emissions.  Battery breaking is
generally a very small source of process fugitive emissions.
     Baseline estimates were determined for lead emissions
and were then converted to meta-i HAP emissions using a metal
HAP's-to-lead ratio of 1.4.  A detailed description of how
this ratio was developed can be found in attachment B.  More
detailed information on how baseline emissions were
determined for each process fugitive source is included in
the following subsections and in attachment E.  /
                            D-13

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3.1  BATTERY BREAKING
     Battery breaker emissions, even at facilities with
uncontrolled battery breakers, are relatively small compared
to other process fugitive sources.  An uncontrolled emission
factor of 0.0011 kg lead/Mg lead-bearing battery scrap was
used to estimate baseline emissions from battery breaking.
A control efficiency of 90 percent was assumed for battery
breakers fitted with a venturi-type scrubber or demister
pad.  About one-third of the battery breakers are controlled
by venturi scrubbers or demister pads.  Two facilities break
batteries manually and do not have emissions from mechanical
battery breakers.
     The emission factor for battery breakers was developed
from a single test of controlled emissions on a battery
breaker fitted with a venturi scrubber.
3.2  DUST-AGGLOMERATING FURNACES
     About one-half of facilities have dust-agglomerating
furnaces.  Dust-agglomerating furnace emissions can be
approximately 30 to 40 percent of a facility's total process
fugitive emissions.  Process fugitive emissions of metal
HAP's from agglomerating furnaces were estimated using a
published uncontrolled emission factor of 14 kg lead/Mg of
flue dust charged.4  The amount of flue dust charged to the
furnace was estimated from the uncontrolled emission factors
for smelting furnaces.  A control efficiency of 99 percent
was assumed for an agglomerating furnace controlled by a
baghouse.
3.3  REFINING AND CASTING
     Baseline emissions for refining and casting were
determined using uncontrolled emission factors of 0.006 and
0.007 kg lead/Mg lead product for refining and casting,
respectively, taken from AP--42.5  A control efficiency of
99 percent was assumed for refining kettles or casting
machines covered by a hood and ventilated to a baghouse.
All facilities have controls on refining kettles.  Not all
facilities have controls on the casting machines/^
Facilities in table 3-1 with relatively low refining and
                            D-16

-------
casting emissions have controls on the casting machines as
well as on the refining kettles.
3.4  SMELTING FURNACE CHARGING AND TAPPING
     The controlled furnace process fugitives are generally
50 to 80 percent of total baseline process fugitive
emissions.  Uncontrolled process fugitive emissions from
furnace charging and tapping were assumed to be 5 percent of
uncontrolled smelting furnace process emissions, which were
determined from published emission factors.6  The capture
efficiency of hoods on the charging chutes and taps was
assumed to be 95 percent, and these hoods are ventilated to
a baghouse with an assumed 99-percent control efficiency.
The 5 percent uncaptured process fugitive emissions are
counted as fugitive dust emissions from the furnace and
refining area, discussed in section 4.0, below.  However,
one facility (facility 15) has no controls on its blast
furnace charging chute.  For this facility, the uncontrolled
charging emissions were counted as process fugitive
emissions.

4.0  FUGITIVE DUST EMISSIONS
      Baseline fugitive dust emissions include metal HAP
emissions from the following areas:
          Plant roadways;
          Battery breaking areas;
          Materials storage areas;
          Furnace and refining areas;
          Materials transport areas; and
          Cast lead (finished product) storage areas.
     A summary of baseline fugitive dust emissions estimates
by source and facility is presented in table 4-1.  These
estimates are for controlled metal HAP emissions.  The
largest fugitive dust sources are generally the furnace and
refining area and the materials storage area.  The battery
breaking area and the cast lead storage area are generally
the smallest sources of fugitive dust emissions.  Plant
roadways and materials transport areas  (the area between the
                            D-17

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-------
materials storage area and the furnace and refining area)
are moderate-size sources with the potential to become
larger sources if poorly controlled.
     The baseline fugitive dust emissions estimates were
developed from emission factor equations found in AP-42.
Model plant data and literature values were used as input
parameters for the emission factor equations to estimate
uncontrolled emissions.  Estimated default values had to be
used for the input parameters to the fugitive dust emission
factor equations for the majority of the smelters.
Controlled emissions were then calculated for each facility,
based on the fugitive dust controls known for each facility.
     Baseline estimates were determined for lead emissions
and were then converted to metal HAP emissions using a metal
HAP's-to-lead ratio of 1.4.  A detailed description of how
this ratio was developed can be found in attachment B.  More
detailed information on how the baseline emissions were
determined for each fugitive dust source is included in the
following subsections and in attachment F.  More detailed
information on how the fugitive dust control efficiencies
were assigned is included in attachment G.
4.1  PLANT ROADWAYS
     The emission factor equation for paved roadways from
AP-427 was used to determine area fugitive emissions from
plant roadways because all smelters have paved roadways.  A
factor for vehicle kilometers traveled based on lead
production capacity was developed and used to estimate
distance traveled for each facility.  Controlled emissions
were determined from the type of pavement cleaning methods
in use at each plant. Area vacuuming and wet suppression are
the most common methods of controlling area fugitive
emissions from plant roadways.
4.2  BATTERY BREAKING AREA
     Baseline emissions from the battery breaking area were
calculated in the same manner as plant roadway emissions.
Those facilities with very low emissions have totally
enclosed the battery breaking area.                 -
                            D-20

-------
4.3  FURNACE AND REFINING/CASTING AREA
     Emissions from vehicle traffic in the furnace and
refining/casting area were calculated in the same manner as
emissions from plant roadways.  Process fugitive emissions
that escape capture by hoods were added to the uncontrolled
area fugitive emissions from this area.  Those facilities
with the lowest controlled emissions have totally enclosed
the furnace and refining/casting areas.
4.4  MATERIALS TRANSPORT AREA
     Materials transport area emissions were calculated in
the same manner as emissions from plant roadways.
4.5  CAST LEAD STORAGE AREA
     Cast lead storage area emissions were calculated in the
same manner as emissions from plant roadways.  However,
based on observations made during site visits, the cast lead
storage areas are cleaner than most other areas in these
facilities.  Therefore, the surface dust loading was assumed
to be only 5 percent of the value used in estimating
emissions from other areas.
4.6  MATERIALS STORAGE AREA
     The baseline emissions estimate for the materials
storage area  (including broken battery components, slag,
dross, and flue dust) is the sum of emissions due to
equipment traffic, materials handling, and wind erosion from
storage piles.  Emissions due to each of these activities
were estimated separately and are described in the following
subsections.  Those facilities in table 4-1 with relatively
low emissions have totally enclosed their materials storage
areas.
4.6.1  Ecruipment Traffic
     Equipment traffic emissions from the materials storage
area were estimated in the same manner as plant roadway
emissions.  Some facilities have paved materials storage
areas.  However, the accumulation of dust on a typical paved
area is so large that emissions from paved areas were
assumed to be equivalent to emissions from unpav£d areas.
Therefore, only the emission factor equation for unpaved
                            D-21

-------
roadways from AP-428 was useaf  and no emission control was
applied for pavement cleaning.
4.6.2  Materials Handling
     Fugitive emissions from materials handling were
estimated using the emission factor equation from AP-42.9
If the area was totally enclosed, the wind speed parameter
in this equation was set to zero and, theoretically, there
were no emissions from materials handling.  Emissions were
also based on the mass of materials handled, and it was
assumed that this is equivalent to twice the mass of
materials processed because most materials are handled
twice: once when they are put into storage and once when
they are prepared for processing.                 -
4.6.3  Wind Erosion
     Fugitive emissions due to wind erosion from materials
storage piles were estimated using an emission factor
equation.10  If the materials storage area was covered with
a roof, the rainfall parameter in this equation was set to
zero, which caused an increase in calculated emissions due
to wind erosion.  However, if the materials storage area was
totally enclosed, then the wind speed and wind-threshold
speed parameters in the emission factor equation were set to
zero and there were no calculated emissions from wind
erosion.
                            D-22

-------
5.0  REFERENCES
1.   Draft Emission Test Report:  HAP Emission Testing on
     Selected Sources at a Secondary Lead Smelter:  Tejas
     Resources, Inc.,  Terrell, Texas.  Prepared for the
     U. S. Environmental Protection Agency, Research
     Triangle Park, NC, by Roy F. Weston, Inc.  EPA Contract
     No. 68-D1-0104.  December 1992.

2.   Draft Emission Test Report:  HAP Emission Testing on
     Selected Sources at a Secondary Lead Smelter:
     Schuylkill Metals Corporation, Forest City, Missouri.
     Prepared for the U. S. Environmental Protection Agency,
     Research Triangle Park, NC, by Roy F. Weston, Inc.  EPA
     Contract
     No. 68-D1-0104.  December 1992.

3.   Summary of Results, Draft Data Tables:  HAP Emission
     Testing on Selected Sources at a Secondary Lead
     Smelter:  East Penn Manufacturing Company, Lyon
     Station, Pennsylvania.  Prepared for the U. S.
     Environmental Protection Agency, Research Triangle
     Park, NC, by Roy F. Weston, Inc.  EPA Contract Nos. 68-
     Dl-0104 and 68-D2-0029.  May 1993.

4.   Marinshaw, R. and D. Wallace, Midwest Research
     Institute.  Estimating and Controlling Fugitive Lead
     Emissions from Industrial Sources, Final Report.
     Prepared for the U. S. Environmental Protection Agency,
     Research Triangle Park, NC.  EPA Contract No. 68-02-
     4395, Work Assignment 41.  September 28, 1990.  p. 70.

5.   U. S. Environmental Protection Agency.  Compilation of
     Air Pollutant Emission Factors.  Washington, DC.
     Publication No. AP-42  September 1985.  p. 7.11-4.

6.   U. S. Environmental Protection Agency.  Compilation of
     Air Pollutant Emission Factors.  Washington, DC.
     Publication No. AP-42.  September 1985.  pp. 7.11-4,
     —5.

7.   U. S. Environmental Protection Agency.  Compilation of
     Air Pollutant Emission Factors.  Washington, DC.
     Publication No. AP-42.  September 1985.  p. 11.2.1-3.

8.   U. S. Environmental Protection Agency.  Compilation of
     Air Pollutant Emission Factors.  Washington, DC.
     Publication No.AP-42.  September 1985.  p. 11.2.1-1.

9.   U. S. Environmental Protection Agency.  Compilation of
     Air Pollutant Emission Factors.  Washington, DC.
     Publication No. AP-42.  September 1985.  p.; 11.2.3-3.
                            D-23

-------
10.   Marinshaw,  R.  and D.  Wallace,  Midwest Research
     Institute.   Estimating and Controlling Fugitive Lead
     Emissions from Industrial Sources, Final Report.
     Prepared for the u.  S.  Environmental Protection Agency,
     Research Triangle Park, NC.  EPA Contract No. 68-02-
     4395, Work Assignment 41.  September 28, 1990.  p. 13.
                            D-24

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                ATTACHMENT A:

METHODOLOGY AND DATA USED TO DEVELOP BASELINE
 PROCESS EMISSIONS ESTIMATES FOR METAL HAP'S
                     D-25

-------
                        ATTACHMENT A

     The baseline process emissions estimates for metal
HAP's are based on allowable emissions of lead or PM as
surrogates for total metal HAP's and were made on a
facility-by-facility basis.
     The PM emission rates were converted to lead emission
rates using a constant lead-to-PM emission ratio of 0.29.
The ratio was the median of lead-to-PM ratios developed from
actual performance data, which are summarized in table A-l.
Table A-l includes only data from test runs in which lead
and PM emissions were measured simultaneously.
     Table A-2 presents baseline lead emissions estimates
for individual smelting furnaces and applicable State and
local regulatory limits for lead emissions.
     The method used to estimate baseline emissions
overestimates emissions compared to actual lead emissions as
determined from stack testing data.  Actual lead emission
rates were determined for each facility from stack testing,
where available, or from an average lead concentration of
0.59 mg/dscm (0.00026 gr/dscf) and the furnace exhaust rate.
The average lead concentration was determined from EPA-
sponsored measurements at the baghouse and scrubber outlets
at two facilities.  The range of the four measurements was
0.52 mg/dscm (0.00026 gr/dscf) to 0.70 mg/dscm
(0.00031 gr/dscf).
                            D-26

-------
   Table  A-l


RELATIONSHIP BETWEEN Pb AND PN
  for Furnace Sources

SOURCE
TYPE
ROTARY
BLAST-GRIDS
BLAST-GRIDS
BLAST-GRIDS
BLAST
REVERB
BLAST-SLAG
BLAST-GRIDS
BLAST-GRIDS
BLAST/REVERB

COMPANY

MASTER METALS
GENERAL SMELT & REF.
SANDERS FUR. 1 & 2
REFINED METALS-TN
SCHUYLKILL-MO
REFINED METALS-TN
REFINED METALS-TN
SANDERS FUR. 3 & 4
REFINED METALS-IN
GENERAL BATTERY
mmmmm*mmm*
TEST
DATE
3/91
1/92
1/90
7/91
11/92
11/90
11/90
1/90
6/89
6/83
irnmmmnsmmmm:
1
Cone.
(gr/elscf)
0.002400
0.002800
0.003000
0.000994
0.00126
0.003800
0.001400
0.001600
0.007000
0.0073020
PM
Rate
(Ib/hr)
0.300
0.505
1.870
0.500
0.37
1.517
0.605
0.700
1.493
2.202108
P
Cone.
(gr/dscf)
0.000042
0.000100
0.000310
0.000199
0.000294
0.001095
0.000524
0.000670
0.003030
0.005646
b
Rate
(Ib/hr)
0.005
0.011
0.200
0.100
0.0853
0.432
0.221
0.290
0.635
1.588666
SCSS3SS3BSKSS
Pb/PM
Cone.
Fraction
~ 0.0174
0.0357
0.1033
0.2002
0.2333
0.2882 <=•= Median
0.3743
0.4188
0.4329
0.7237
                                       D-27

-------
                 Table  A-2
'ANNUAL  EMISSIONS BY FURNACE UNDER CURRENT REGULATIONS
                                                   Baseline Pb
                                                         Allowable Pb
                                                  Emission Rate    Emission Limit
 FacID
              Hours     Lead    Exhaust
                of  Prod Cap       Rate
Furn   Furn    Oper.  of Furn  (dry stand
  10   Type  (hr/yr)  (Hg/yr)   m"3/min)
                                                    Pb
                                                             Pb
                                                                      Pb
                            Pb
(kg/hr)   (Mg/yr)  (mg/dscm)  (kg/hr)
        2     1  BLAST    8.760   27,000        159     0.64     5.61
        2     2  BLAST    8.760   27.000        159     0.64     5.61
        2     3  BLAST    8.760   27.000        159     0.68     5.96
        2     4  BLAST    8.760   27.000        159     0.68     5.96
        3     1  REVERB   8.232   93.371      1.201     1.04     8.SS
        3     2  BLAST    8.232   31,124        608     0.53     4.33
        5    1  BLAST     7.800   19.169        374     0.82     6.41
        6    1  BLAST     8.760    8.439        165     0.14     1.25
        6    2  BUST     8.760    8.439        165     0.14     1.25
             1 BUST    7.920   23.592
       20    1 ROTARY   8.760   16.329
       22    1 REVERB   8.760   51.336
       22    2 BUST    8.760   29.806
                                    275
                                    661
                                    582
   0.24
   0.03
   0.02
       24    1 ROTARY   6.240
       24    2 ROTARY   6.240    1.944
       24    3 ROTARY   6.240    5.832
       25    1 BUST    6.120   18.144
       26    1 BUST    7.920   21.778
       25    2 REVERB   7.200   13.611

             1 BUST    8.760   22.680
       28    2 REVERB   8.760   22.680
       29    1 ROTARY   8.760   11.343
       29    2 ROTARY   8.760   11.343
                                      7
                                     33
                                     98
                                    354
                                    425
                                    175

                                    443
                                    292
                                    191
                                    191
   0.01
   0.03
   0.08
   0.86
   0.37
   0.15

   0.09
   0.09
   0.20
   0.23
2.06
0.27
0.16
0.04
0.18
0.53
5.26
2.91
1.09

0.80
0.80
1.79
2.02
                                                             11.4
                                                             11.4
                                                             11.4
                                                             11.4
12
13
13
13
14
14
14
15
15
15
16
1 BUST
1 BUST
2 BUST
3 REVERB
1 REVERB
2 REVERB
3 BUST
1 REVERB
2 BUST
3 ROTARY
1 BUST
6.000
8.760
8.760
8.760
8.160
8.160
7.200
8.760
1.020
4.215
8.760
9.074
33.271
33.271
33.271 '
30.000
56.000
22.226
41.912
9.253
38.238
36.296
177
650
650
428
386
721
434
539
181
643
709
0.15
0.56
0.56
0.37
0.16
0.30
0.18
0.47
0.16
0.56
0.61
0.92
4.92
4.92
3.24
1.32
2.47
1.31 '
4.08
0.16
2.34
5.37




7
7
7




11.4
                              0.64
                              0.64
                              0.68
                              0.66
                                                                     0.822
                                                                      0.21
                                                                      0.21
                                                                      0.36
                                                                     0.365
                                                                    0.0072
         0.65
        0.131
        0.131

        0.031
        0.018
         0.86
0.815
0.091
0.091
0.204
0.231

-------
                      ATTACHMENT B:

     METHODOLOGY AND DATA USED TO DEVELOP TOTAL METAL
HAP-TO-LEAD RATIOS FOR ESTIMATING METAL HAP EMISSIONS FROM
 PROCESS,  PROCESS  FUGITIVE,  AND AREA  FUGITIVE DUSTJ SOURCES
                           D-29

-------
                        ATTACHMENT B
     The ratio of total metal HAP (TMH) emissions to lead
emissions was determined from stack testing data for furnace
process and process fugitive sources.  The TMH-to-lead ratio
for fugitive dust sources was determined from test data from
a building ventilation stack and from ambient air
monitoring.  Table B-l summarizes the ratios of individual
metal HAP's to lead and the TMH-to-lead ratio for process
fugitive sources, fugitive dust sources, and furnace
sources.  These data were drawn from test reports collected
by the EPA (table B-2).  The ratio of TMH emissions to lead
is 1.39 kg TMH/kg lead for process fugitive sources, 1.42
for area fugitive sources, and 1.45 for furnace process
sources.  Lead compounds are included as a component of TMH.
     The ratio of each metal HAP to lead was determined for
each available test report and the median value for each
metal was used to determine the ratio of TMH to lead.  For
many of the tests, the metal HAP's occurred at levels below
the detection limit.  The metal HAP-to-lead ratio calculated
from such tests was reduced by one-half before the median
ratio was selected.  On the other hand, the emission rates
of some metals were greater than lead in several tests.
These latter data are suspect because the predominant metal
in the feedstock is lead and most tests show that other
metals are emitted at much lower rates.  For these reasons,
the median value rather than the mean of metal HAP-to-lead
ratios was chosen for determining the ratio of TMH to lead,
except as described below.
     Several of the tests showed very high emission rates
for manganese (Mn).  However, this is probably due to
contamination of the sampling train with potassium
permanganate reagent from one of the impingers, according to
one of the test reports.  Manganese is not used in the
construction of lead-acid batteries and should only be found
in trace quantities.  Therefore, the Mn-to-lead ratio
                            D-30

-------
selected was lower than the median value and reflected the
expectation that Mn should not be emitted in any significant
quantity relative to lead.
     Most of the data for nickel (Ni) emissions were
collected from a single plant and yielded a median Ni-to-
lead ratio for sanitary sources of 0.31, which is higher
than expected because Ni is not used in the construction of
lead-acid batteries.  Because of these unexpected results,
the plant from which these data were generated had one
source retested for lead, copper, arsenic, and Ni.  The
retest data (which consisted of only two runs) indicated a
potential Ni-to-lead ratio of less than 0.02.  Therefore,
the fugitive dust source Ni-to-lead ratio (0.06) was
selected as a conservative surrogate for the process
fugitive source Ni-to-lead ratio.
     There were no fugitive dust data available for
antimony, so the process fugitive ratio was also used for
fugitive dust sources.
                             D-31

-------
TABLE B-l.  RATIOS OF METAL HAP EMISSIONS TO LEAD EMISSIONS3
Metal
Manganese
Nickel

Antimony

Arsenic

Chromium

Cadmium

Selenium

Mercury

Beryllium

Lead
Total TMH-to-lead
ratio
Process
Fugitive
Sources
(0.

(0.

(0.

(0.

(0

(0

(0

(0.

(0



0.03
03-1.67)
0.06C
14-0.33)
0.20
04-0.33)
0.03
00-0.67)
0.01
.0-0.33)
0.01
.0-0.21)
0.02
.0-0.07)
0.02
01-0.04)
0.01
.0-0.02)
1.0
1.39

Area Sources
0.03
(0.03-0.08)
0.06C
(0.06-0.15)
0.20d

0.01
(0.0-0.04)
0.04
(0.01-0.04)
0.0
(0.0-0.04)
0.04
(0.01-0.04)
0.0
(0.0)
0.04
(0.01-0.04)
1.0
1.42

Furnace
Sources
0.06
(0.0-4.52)b
0.08
(0.0-17.86)
0.11
(0.02-0.30)
0.09
(0.0-1.00)
0.05
(0.0-1.0)
- 0.02
(0.0-1.53)
0.03
(0.03-4.40)
0.0
(0.0-1.19)
0.01
(0.0-0.04)
1.0
1.45

aRanges of metal HAP-to-lead ratios are in parentheses
beneath
 the median.

bHigh emission rates of Mn are likely the result of
contamination
 of the sampling train with potassium permanganate reagent.
GMost of the data for nickel were collected at a single
plant and
 were higher than expected.  Retesting at that plant
indicated a
 nickel-to-lead ratio of <0.02.  The value for fugitive" dust
 sources was also used for process fugitive sources in this
 analysis.
    data were available for fugitive dust emissions of
antimony ,
 so the process fugitive ratio was also used for fugitive
dust                                            /
 sources .
                            D-32

-------


























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                ATTACHMENT C:

METHODOLOGY AND DATA USED TO DEVELOP BASELINE
     EMISSIONS  ESTIMATES  FOR ORGANIC HAP'S
                     D-39

-------

-------
                        ATTACHMENT C

     This attachment presents the baseline emissions
estimates for organic pollutants.  Baseline emissions
estimates were made for carbon monoxide (CO), THC, and total
organic HAP's.
     Table C-l presents the baseline organic emissions
estimates on a furnace-specific basis.  Table C-2 summarizes
the baseline organic emissions estimates on a facility-
specific basis.  Emissions estimates were made for each of
the smelting furnaces.  Average concentrations were
developed for each furnace type  (blast, reverberatory,
rotary, and electric) based on the available data for that
furnace type.  Site-specific flow rates were then used to
estimate organic emissions for each furnace.
     The following sections present the available data used
to estimate emissions and discuss the methodology and
assumptions used in relating the available data to the
furnaces.
C.I  Carbon Monoxide
     Table C-3 summarizes the available CO emissions data
for secondary lead furnaces.  For reverberatory furnaces,
there are five CO data points available.  The data range
from less than 5 to 429 ppm.  The average of the four data
points is 160 ppm.
     For blast furnaces, a method for estimating controlled
and uncontrolled CO emissions was developed.  Uncontrolled
CO emissions data are available for two blast furnaces.
Three afterburner inlet (uncontrolled) test runs were made
on one of the Sanders blast furnaces.  The CO concentrations
ranged from 21,000 ppm to 29,OOO ppm during the three runs,
with an average of 26,000 ppm. During the Schuylkill-
Missouri emissions testing, the average CO concentration at
the afterburner inlet was 70,000 ppm.  The average of the
two furnace concentrations, 48,000 ppm, was selected as the
basis for uncontrolled CO emissions from blast furnaces.
                            D-40

-------
     Controlled CO emissions from blast furnaces are a
function of the afterburner design.  The three most
important parameters affecting afterburner performance are
residence time, peak temperature, and turbulence.
Afterburner temperature is the only variable for which
sufficient data are available.  For this reason, a
relationship was developed to relate afterburner temperature
to CO removal efficiency.  During the July 1990 Sanders
test, three pairs of inlet/outlet CO concentrations were
obtained at three different temperatures.  A log-linear
regression was used to correlate afterburner temperature to
THC removal efficiency.  The following is the relationship
derived:                                          -

     log  (100 - CO Removal, %)  =
          3.956 - 0.00192 * (Afterburner Temperature, °F)
      R2 = 0.91
     One data point is available for a blast/reverberatory
furnace combination.  Data for the East Penn facility
indicate controlled CO emissions are on the order of 30 ppm.
     The Tejas CO monitoring data were used to develop the
baseline emissions estimate for rotary furnaces.  The
average CO concentration measured during the emissions
testing was 140 ppm.  This was used as the basis for all
rotary furnaces.
     Only one electric furnace is currently in operation.
The measured CO concentration from this furnace was 25 ppm,
which was used as the basis for estimating baseline
emissions from this furnace.
C.2  Total Hydrocarbon
     Table C-4 summarizes the available THC emissions data.
Where possible, all THC data have been converted to an
as-propane basis.  Where this basis was not provided, it was
assumed that the data were reported as propane. '
                            D-41

-------
     Very limited data exist for THC emissions from
reverheratory furnaces.  The RSR-New York facility was
tested for THC emissions from their reverberatory furnace.
The results show an average THC emission rate of 20 ppm as
propane.  This concentration was used to estimate THC
emissions from reverberatory furnaces.
     Two tests are available for uncontrolled THC emissions
from blast furnaces.  The Sanders test showed TGNMO
emissions ranging from 1,126 to 1,797 ppm as propane, with
an average of 1,413 ppm as propane.  This test did not
account for methane emissions.  To correct this to a THC
basis, data supplied by GNB-Texas were reviewed.  For the
blast furnace at GNB-Texas, methane emissions accounted for
23 percent of THC emissions.  Using these data, the Sanders
average TGNMO was scaled up to 1,833 ppm to represent THC.
The Schuylkill-Missouri test showed uncontrolled THC
concentrations ranging from 2,950 to 3,538 ppm as propane.
The average was 3,240 ppm as carbon.  THC baseline emissions
for facilities with uncontrolled blast furnaces were
estimated based on the average of the Sanders and
Schuylkill-Missouri tests:  2,530 ppm as propane.
     Controlled THC emissions, like CO emissions, will be a
function of the afterburner design.  A relationship was
developed to relate afterburner temperature to THC removal.
During the July 1990 test at Sanders, three sets of
inlet/outlet TGNMO concentrations were obtained at three
different temperatures from which THC concentrations were
estimated.  In addition, controlled and uncontrolled THC
emissions were measured during the Schuylkill-Missouri
testing.  A log-linear regression was used to correlate
                            D-42

-------
afterburner temperature to the THC removal efficiency.  The
following is the relationship derived:

     log  (100 - THC Removal,  %) =
          5.112 - 0.00306 * (Afterburner Temperature, °F)
      R2 = 0.84

     For blast/reverberatory furnace combinations, data are
available from the East Penn test report.  Based on this
test, THC emissions from blast/reverberatory furnace
combinations were estimated at 3 ppm THC as propane.
     The Tejas THC monitoring data are the only available
THC data for rotary furnaces.  The average THC concentration
during the monitoring period was 154 ppm as propane.  This
value was used to estimate baseline emissions for rotary
furnaces.
     No THC data are available for electric furnaces.  It
was assumed that the THC-to-CO ratio  (20-to-160, or 0.13)
for reverberatory furnaces is representative of the ratio
for electric furnaces.  Therefore, the THC concentration
used to estimate baseline emissions from electric furnaces
was 30 ppm.
C. 3  Total Organic Hazardous1. Air Pollutant Emissions
     Total organic HAP emissions are estimated based on THC
emissions.  Three tests were performed that simultaneously
measured THC and total organic HAP emissions.  Each test
consisted of three runs.  Table Cr5 summarizes the results.
The average ratio of total organic HAP to THC emissions is
0.19 kg  organic HAP/kg THC.  For each furnace, the THC
emissions estimate is multiplied by the above ratio to
provide  the total organic HAP emissions estimate.
                            D-43

-------
C.4  REFERENCES
1.   Source Emissions Survey of Gould Incorporated (now
     GNB), Metals Division, Vernon, California, March 1983,
     by Mullins Environmental Testing Company, Addison,
     Texas.

2.   Report of Air Emissions Tests for Refined Metals
     Corporation Secondary Lead Smelter.   Memphis,
     Tennessee.  November 15 and 16, 1990.  Performed by
     Environmental Monitoring Laboratories.

3.   Draft Emission Test Report, HAP Emission Testing on
     Selected Sources at a Secondary Lead Smelter.
     Schuylkill Metals, Corporation. Volume I.  Forest City,
     Missouri.  January 1993.  Prepared by Roy F. Weston,
     Inc., West Chester, Pennsylvania.  Testing performed
     November 1992.

4.   Determination of Destruction Efficiency of Total
     Gaseous Non-Methane Organic Emissions Conducted on
     Blast Furnace No. 4 Flask Tank Afterburner.  Sanders
     Lead Company, Troy, Alabama.  July 27, 1990.  Performed
     by Resource Consultants, Inc., Brentwood, Tennessee.

5.   Source Test of GNB Corporation, Vernon, California, by
     ETC Environmental Inc., for South Coast Air Quality
     Management District.  August 30, 1989.

6.   Source Emissions Survey of Quemetco, Incorporated.
     Indianapolis, Indiana.  October 1988.  Performed by
     METCO Environmental, Addison, Texas.

7.   Report of Air Pollution Compliance Test.  GNB
     Batteries, Incorporated, by Engineering Science,
     Arcadia, California, for SCAQMD.  February 8, 1985.

8.   Report for Air Pollution Source Testing at Quemetco,
     Inc. Source Tested:  Refinery Kettles Baghouse.
     Performed by Engineering-Science, Inc., Pasadena,
     California.  August 14, 1990.

9.   Draft Emission Test Report, HAP Emission Testing on
     Selected Sources at a Secondary Lead Smelter, Tejas
     Resources, Inc.
                            D-44

-------
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D-47

-------
TABLE C-2.  FACILITY-SPECIFIC ORGANIC
  BASELINE EMISSION ESTIMATES (tpy)
Facility
2
3
4
5
6
8
9
10
12
13
14
15
16
17
19
20
22
23
25
26
27
28
29
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8,383
88
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2,457
116
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138
300
29,304
118
765
6,305
77
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93
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12,411
11,494
6,438
36
THC
467
445
17
892
84
32
1,115
27
5
1,948
29
118
241
15
71
45
26
35
662
1,032
954
333
62
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102.8
97.9
3.8
196.2
18.6
7.1
245.2
6.0
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428.5
6.5
26.0
53.0
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                 D-48

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-------
TABLE C-5.  SUMMARY OF SIMULTANEOUS THC AND TOTAL ORGANIC
                    HAP EMISSIONS DATA
Facility
Tejas Resources


Schuylkill-
Missouri


East Penn
•-
Average
Date
10/10/9
2
10/11/9
2
10/12/9
2
11/10/9
2
11/11/9
2
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12/08/9
2
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2
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2
Run
No.
1
2
3
1
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1
2
3
Average THC
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propane)
3.94
8.94
2.68
79.1
67.1
63.0
40.9
27.9
36.6
Total
Organic HAP
Emissions
(Ib/hr)
0.77
1.92
0.79
13.1
12.7
19.7
2.94
2.32
6.76
THC/Total
Organic
HAP
0.20
0.21
0.29
0.17
0.19
0.31
0.072
0.083
0.185
0.19
                           D-51

-------
                ATTACHMENT D:

EMISSION FACTORS AND BASELINE FURNACE PROCESS
       EMISSIONS OF HYDROCHLORIC ACID
                     D-52

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                ATTACHMENT  E:

METHODOLOGY AND DATA USED TO DEVELOP BASELINE
    ESTIMATES OF PROCESS  FUGITIVE  EMISSIONS
                OF METAL HAP'S
                     D-55

-------
                        ATTACHMENT E

     Emissions from sanitary sources, referred to here as
process fugitive emissions, are controlled by hooding and
ventilation to a baghouse and/or scrubber.  These emissions
were estimated using emission factors, model plant data, and
assumptions related to lead production capacity.  The
following sections describe how baseline emissions estimates
were developed for specific process fugitive sources.
E.I  Battery Breaking
     The uncontrolled lead emission factor for battery
breakers is 0.0011 kg/Mg battery grids, paste, and posts
charged to the smelting furnace.  The emission factor is
based on an approximate uncontrolled emission rate of
0.020 pounds (Ib) of lead per hour (hr) of battery breaker
operation.
     The uncontrolled lead emission rate used in developing
the emission factor was back-calculated from a controlled
emission rate of 0.002 Ib/hr by assuming 90-percent
efficiency for capture and control for a hood and scrubber.
The controlled lead emission rate was based on a single test
measurement at a battery breaker.  Emissions from the
battery breaker and scrubber configuration for the facility
at which the emission rate was measured were assumed to be
representative of all similarly controlled battery breakers
in the industry.
     Estimated controlled process fugitive emissions from
battery breakers are presented in table E-l.  To obtain the
emission factor, the uncontrolled emission rate (equivalent
to 79.5 kg/yr)  was divided by a typical charge rate of
70,000 Mg/yr of battery grids, paste, and posts.
E.2  Dust-Agglomerating Furnaces
     The uncontrolled lead emission factor for dust-
agglomerating furnace operation is 14 kg lead/Mg flue dust
charged.^
     Flue dust charge was calculated to be 99 percent of the
uncontrolled PM emissions that are captured by the process
                            D-56

-------
baghouse.  The uncontrolled process emissions of PM used to
estimate the amount of flue dust charge were estimated using
AP-42 factors for secondary lead smelting.2  The factors are
162 kg PM/Mg lead produced by a reverberatory furnace and
153 kg PM/Mg lead produced by a blast furnace.  Estimated
flue dust charges are presented in table E-2.
     Emissions of lead from dust agglomeration operations
were assumed to be controlled at 99-percent efficiency by a
baghouse, a scrubber, or a baghouse and scrubber in series.
This assumption was based on a range of PM control
efficiencies of 98.4 percent (fabric filter on a blast
furnace) to 99.8 percent (settling chamber plus dry cyclone
plus fabric filter on a reverberatory furnace).3  _
     Estimated controlled process fugitive emissions from
dust agglomerating furnaces are presented in table E-3.
E.3  Refining and Casting
     The uncontrolled lead emission factors for kettle
refining and casting are 0.006 and 0.007 kg/Mg lead
produced, respectively.2
     For refining and casting operations, as for dust
agglomeration activities, lead emissions were assumed to be
controlled at 99-percent efficiency by a hood ventilated to
a baghouse, a scrubber, or a baghouse and scrubber in
series.
     Estimated controlled process fugitive emissions from
refining and casting operations are presented in table E-4.

E.4  Furnaces
     Uncontrolled emissions of lead from furnace charging,
lead tapping and slag tapping were assumed to be 5 percent
of the uncontrolled process (furnace) emissions of lead at
secondary lead smelters.4  The uncontrolled emission rates
of lead  from furnace charging, lead tapping, and slag
tapping, are 2.6 kg  lead/Mg lead produced by a blast furnace
and  1.6  kg lead/Mg lead produced by a reverberatory
furnace.2  The reverberatory furnace factor was^also applied
to rotary and electric furnaces.                   :
                            D-57

-------
     The total uncontrolled emissions of lead from furnace
charging and lead and slag tapping were apportioned by mass
among the three process fugitive sources as follows:
     •    90.0 percent due to charging;
     •     0.3 percent due to lead tapping; and
     •     9.7 percent due to slag tapping.

     The percentages are based on the relative magnitude of
blast furnace emission factors that were reported on the
basis of furnace feed.1
     The capture efficiency of hoods on furnace charging and
tapping was assumed to be 95 percent.  Uncaptured emissions
were added to the uncontrolled furnace area fugitive
emissions.  The control efficiency of captured emissions by
baghouse and/or scrubber was assumed to be 99.0 percent.  If
a source at a facility did not have a hood, then 100 percent
of uncontrolled emissions from that process fugitive source
were counted as process fugitive emissions.
     Estimated controlled process fugitive emissions from
smelting furnace charging and lead and slag tapping are
presented in table E-5.
                            D-58

-------
E.5  References
1.   Marinshaw, R. and D. Wallace, Midwest Research
     Institute.  Estimating and Controlling Fugitive Lead
     Emissions from Industrial Sources, Final Report.
     Prepared for the U. S. Environmental Protection Agency.
     Research Triangle Park, NC.  EPA Contract No. 68-02-
     4395, Work Assignment 41.  September 28, 1990.  p. 70.

2.   U. S. Environmental Protection Agency.  Compilation of
     Air Pollutant Emission Factors.  Washington, DC.
     Publication No. AP-42, September 1985.  p. 7.11-4.

3.   U. S. Environmental Protection Agency.  Compilation of
     Air Pollutant Emission Factors.  Washington, DC.
     Publication No. AP-42, September 1985.  p. 7.11-8.

4.   U. S. Environmental Protection Agency.  Compilation of
     Air Pollutant Emission Factors.  Washington, DC.
     Publication No. AP-42, September 1985.   p. 7.11-5.
                                                 r
                                                i
                            D-59

-------

-------
    TABLE E-l.
        CONTROLLED PROCESS FUGITIVE EMISSIONS
                FROM BATTERY BREAKERS
     Battery
Fac  Breaker
 ID    (Y/N)
              Uncontrolled
      Battery           Pb Tot
       Charge    Emissions Encl
      (Mg/yr)      (kg/yr) (Y/N)
                                 CONTROLLED
                                         Pb
                            SC    EMISSIONS
                            ID      (kg/yr)
  2
  3
  4
  5
  6
  8
  9
 10
 12
 13
 14
 15
 16
 17
 19
 20
 22
 23
 25
 26
 27
 28
 29
Y
Y
Y
Y
Y
Y
Y
Y
Y
Y
Y
Y
Y
Y
N
Y
Y
Y
Y
Y
Y
Y
Y
136,709
131,138
 24,265
 21,365
  9,218
126,346
 68,901
 73,344
 24,772
 20,670
 51,687
 57,418
 46,192
NONE
   3
   1
NONE
NONE
   1
NONE
NONE
NONE
NONE
   1
   1
NONE
NONE
NONE
   1
   1
   1
NONE
NONE
NONE
NONE
   3
                                       30.3
                           D-60

-------
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            ATTACHMENT F:

METHODOLOGY AND DATA USED TO ESTIMATE
   BASELINE FUGITIVE DUST EMISSIONS
                 D-74

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                        ATTACHMENT F

     Emissions from fugitive dust sources may be controlled
by good housekeeping practices (including pavement cleaning)
and by enclosure of the source and ventilation to a baghouse
and/or scrubber.
     Baseline fugitive dust emissions were estimated using
emission factors, model plant data, and assumptions related
to lead production capacity.
     Fugitive dust sources are:

          Plant roadways;
          Battery receiving and breaking areas;
          Furnace and refining/casting areas;
          Materials transport areas;
          Cast lead storage areas; and
          Materials storage areas.

F.I  Plant Roadways
     The equations used to calculate the emission factor [kg
lead/vehicle kilometer (km) traveled] for estimating
uncontrolled lead emissions from unpaved roadways and from
industrial paved roadways are similar to those found in
sections 11.2.1 and 11.2.6 of AP-42.!
     The unpaved roadways equation used here differs
slightly from the equation in AP-422 in two ways.  First,
the particle size multiplier (k) was dropped.  For total
suspended PM emissions, the particle size multiplier (k) may
be assumed to be unity.  Second, the multiplier "C/100" was
added to take into account the percent by weight of lead (C)
in the silt fraction.
     The vehicle speeds estimated for secondary lead
smelters (5 to 10 km/hr) fall below the range of values  (21
to 64 km/hr) for sources from which the emission factor
equation was developed.
     The industrial paved roadways equation differs from the
equation in AP-423 only in the addition of the multiplier
                            D-75

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"C/100" to take into account the percent by weight of lead
(C) in the silt fraction.
     Site-specific values were not available for most of the
correction parameters used in the roadway emissions
equations.  Instead, uniform values were assumed for all
facilities.  These values are presented in table F-l.
     Estimated controlled fugitive dust emissions from plant
roadways are presented in table F-2.
F.2  Battery Receiving/Breaking Area
     Emissions from battery breaking areas were estimated in
the same manner as plant roadway emissions.  Estimated
controlled fugitive dust emissions from the battery
receiving and breaking area are presented in table-F-3.
F.3  Furnace and Refining/Casting Area
     Emissions from vehicle traffic in the furnace and
refining/casting area were calculated in the same manner as
emissions from plant roadways.  Uncontrolled fugitive dust
emissions from this area also include process fugitive
emissions that escape capture by hoods.
     Estimated controlled fugitive dust emissions from the
furnace and refining and casting areas are presented in
table F-4.
F.4  Materials Transport Area
     Emissions from materials transport areas were
calculated in the same manner as were emissions from plant
roadways.  Estimated controlled fugitive dust emissions from
the materials transport area are presented in table F-5.
F.5  Cast Lead Storage Area
     Emissions from cast lead storage areas were calculated
in the same manner as emissions from plant roadways.
     Based on observations during site visits, cast lead
storage areas are typically lower in dust  loading than are
roadways  or other areas; therefore, dust loading was assumed
to be only 5 percent of the value used elsewhere.
     Estimated controlled fugitive  dust emissions from the
cast lead storage area are presented in table F-^6.
                            D-76

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F.6  Materials Storage Area
     Emissions from materials storage areas were estimated
for the following activities:

     •    Equipment traffic;
     •    Materials handling; and
     •    Wind erosion from storage piles.

     Estimated controlled fugitive dust emissions from the
materials storage areas are presented in table F-7.  The
following paragraphs discuss how these emissions were
estimated.
F.6.1  Equipment Traffic
     Equipment traffic emissions for the materials'storage
area were estimated in the same manner as plant roadway
emissions.  Some facilities have paved materials storage
areas.  However, the accumulation of dust on a typical paved
area is so large that emissions from paved areas were
assumed to be equivalent to emissions from unpaved areas.
Therefore, only the emission factor equation for unpaved
roadways from AP-42 was used, and no emission control was
applied for pavement cleaning.
F.6.2  Materials Handling
     The emission factor (kg lead/Mg material handled) for
estimating uncontrolled lead emissions from materials
handling was calculated from an equation similar to that in
AP-42.^  The equation differs from the equation in AP-42 in
two ways.  First, the particle size multiplier  (k) was
dropped.  For total suspended PM emissions, the particle
size multiplier  (k) may be assumed to be unity. . Second, the
multiplier "C/100" was added to take into account the
percent by weight of lead  (C) in the silt fraction of the
handled materials.  If the area is totally enclosed, lead
emissions from materials handling go to zero because wind
speed is set to  zero.
     The moisture content estimated for battery scrap
                                                f
 (10 percent by weight) falls above the range of'data  (0.25
                            D-77

-------
to 4.8 percent) for sources from which the emission factor
equation was developed. Also, site-specific values were not
available for the following correction parameters used in
the materials handling equation:

     •    Weight of lead in the silt fraction of the handled
          materials; and
     •    Materials moisture content.

Therefore, for materials handling, the lead content in the
silt was assumed to be 44 percent for battery scrap (based
on a single observation at a secondary lead smelter),
51 percent for drosses (basied on seven observations) , and
36 percent for flue dust (based on four observations).5  One
reference was found for the lead content of furnace slag.
The lead content of reverberatory furnace slag ranged from
50 to 75 percent by weight and the lead content of blast
furnace slag ranged from 1 to 3 percent by weight.6  A value
of 25 percent was chosen as a default value for slag lead
content to represent a conservative midpoint between
reverberatory and blast furnace slag.
     The moisture content for slag, flue dust, and drosses
was estimated to be 3 percent, based on a range of 0.25 to
3.5 percent for materials used in the iron and steel
production industries  (slag and pellet ore, respectively).7
     For battery scrap, a moisture content of 10 percent was
used, based on a range of 6 to 10 percent for materials from
a battery, breaker using sink/float separation.6
     Uncontrolled materials handling emission rates were
determined before applying reduction factors for emissions
control through enclosure or wet suppression.
     Materials handling emissions estimates are a function
of the mass of materials handled per year.  For battery
scrap, flue dust, and  slag, the charge mass was doubled to
obtain the total mass  of materials handled.   (For example,
battery scrap would be handled twice—once after breaking
                             D-78

-------
and once during charge preparation.)  The same was done for
dross handling estimates.
     In estimating materials handling emissions, the mass of
flue dust handled went to zero if flue dust is not stored
(that is, it is sent directly to the agglomerating or
smelting furnace).  Table F-8 provides data used in
estimating the masses of materials handled.
F.6.3  Wind Erosion
     Wind erosion emissions from storage piles were broken
down into:

     •    Battery scrap;
     •    Flue dust;
     •    Drosses; and
     •    Slag.

     The emission factor (kg lead/hectare active storage
pile area/day) equation for estimating uncontrolled lead
emissions from wind erosion of storage piles is presented in
a separate memorandum.8
     Site-specific values were not available for the
following correction parameters used in the wind erosion
equation:

     •    Weight of lead in the silt fraction of storage
          pile material; and
     •    Average silt content of storage pile material.

     For storage piles, as for materials handling/ the lead
content in the silt was assumed to be 44 percent for battery
scrap, 51 percent for drosses, 36 percent for flue dust, and
25 percent for slag.
     For battery scrap, flue dust, and drosses, a value of
25 percent was used for the average silt content of the
storage pile material.  For slag, a value of 5 percent was
assumed because slag is generally more consolidated in large
chunks than other lead-bearing materials.
                            D-79

-------
     The active storage pile areas were based on the total
materials storage area (which was estimated in the
facilities database described in a separate memorandum).
For battery scrap, the storeige pile area was 60 percent of
the total materials storage area.  For facilities that store
flue dust, the flue dust storage area was 20 percent of the
total materials storage area, leaving 10 percent each for
drosses and slag piles.  For facilities without flue dust
storage, the percentage of cirea attributed to drosses and
slag piles was increased to 20 percent each.
     In estimating wind erosion emissions, the active flue
dust storage pile area went to zero if flue dust is not
stored  (that is, it is sent directly to the agglomerating or
smelting furnace).
     Table F-8 provides data used in estimating fugitive
dust emissions from wind erosion of storage piles.
     For each emissions-generating activity under materials
storage (equipment traffic, material handling, and wind
erosion from storage piles), the meteorological parameter
values for rainfall, wind speed, and wind threshold speed
were set to zero if the area is totally enclosed.  The
rainfall value was also assumed to be zero if the area has a
roof.
                             D-80

-------
F.7  References
1.   U. S. Environmental Protection Agency.  Compilation of
     Air Pollutant Emission Factors.  Washington, DC.
     Publication No. AP-42, September 1985.

2.   U. S. Environmental Protection Agency.  Compilation of
     Air Pollutant Emission Factors.  Washington, DC.
     Publication No. AP-42, September 1985.  p. 11.2.1-1.

3.   U. S. Environmental Protection Agency.   Compilation of
     Air Pollutant Emission Factors.  Washington, DC.
     Publication No. AP-42, September 1985.   p. 11.2.6-1.

4.   U. S. Environmental Protection Agency.  Compilation of
     Air Pollutant Emission Factors.  Washington, DC.
     Publication No. AP-42, September 1985. p. 11.2.3-3.

5.   Marinshaw, R. and D. Wallace, Midwest Research
     Institute.  Estimating and Controlling Fugitive Lead
     Emissions from Industrial Sources, Final Report.
     Prepared for the U. S. Environmental Protection Agency,
     Research Triangle Park, NC.  EPA Contract No. 68-02-
     4395, Work Assignment 41.  September 28, 1990.  p. 47.

6.   Prengaman, R. D., Reverberatory Furnace-Blast Furnace
     Smelting of Battery Scrap at RSR.  In:  Lead-Zinc-Tin
     '80:  Proceedings of a World Symposium on Metallurgy
     and Environmental Control sponsored by the TMS-AIME
     Lead, Zinc, and Tin Committee at the 109th AIME Annual
     Meeting, February 24-28, 1980, in Las Vegas, NV.
     Cigan, J. M., Mackey T. S., and T. J. O'Keefe (eds).
     The Metallurgical Society of AIME.

7.   U. S. Environmental Protection Agency.  Compilation of
     Air Pollutant Emission Factors.  Washington, DC.
     Publication No. AP-42, September 1985. p. 11.2.3-2.

8.   Memorandum from Sutton, L. C., and K. A. Cavender,
     Radian Corporation, to Streit, G., EPA/ISB.  Estimating
     Fugitive Particulate Emissions from Secondary Lead
     Smelters.  April 26, 1993.  p. 12.

9.   Elliott, J. A., and A. J. Miles  (Radian Corporation).
     Evaluation of Implemented -Process and Fugitive Lead
     Emissions Controls at the Refined Metals Corporation,
     Memphis, TN.  Prepared for the U. S. Environmental
     Protection Agency, Atlanta, GA.  September 15, 1989.
     p. 4-6.

10.  Memorandum from Sutton, L. C., and K. A. Cavender,
     Radian Corporation, to Streit, G., EPA/ISB*  Estimating
     Fugitive Particulate Emissions from Secondary Lead
     Smelters.  April 26, 1993.  p. 6.

                            D-81

-------
11.  Memorandum from Suttori, L. C., and K. A. Cavender,
     Radian Corporation, to Streit, G., EPA/ISB.  Estimating
     Fugitive Particulate Emissions from Secondary Lead
     Smelters.  April 26, 1993.  p. 7.
                             D-82

-------
TABLE F-l.  CORRECTION PARAMETER VALUES FOR ROADWAY EMISSION
            ESTIMATES AT SECONDARY LEAD SMELTERS


	Paved Unpaved
  I  Industrial augmentation factor             1.0    NA
     (variable that depends on amount of
     vehicle travel on unpaved surfaces;  a
     value of 1.0 assumes travel is
     entirely on paved surfaces)
  C  Average weight percent of lead  in the     26.6    26.6
     silt fraction of roadway surface dust
  n  Number of traffic lanes                    2      NA
  s  Average surface material silt content,    23.8     8.12
     percent
  L  Average surface dust loading, kg/km      211      NA
  W  Average vehicle weight  (Mg):

          tractor-trailer rig                  27      27
          front-end loader                     24      24
          forklift                              6       6
  w  Number of wheels per vehicle

          tractor-trailer rig                  NA      18
          front-end loader                              4
          forklift                                      4

NA = Not  applicable.

NOTES:

I    Based on observation during site visits.

C    No value was available for unpaved roadways, so the
     paved roadways value was used for both paved and
     unpaved roadways.9  Based on samples collected at a
     secondary lead smelter.

n    Based on observation during site visits.

s    23,8:19   Based on an average of eight samples
               collected at a secondary lead  smelter.

     8.12:10   Based on average of 4 tests at 2 primary  lead
               smelter facilities.

L    Based on data collected at operating secondary lead
     smelters.10

W    Based on information provided by vehicle manufacturer.
                                                ic
w    Based on observations during site visits.11
                            D-83

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             ATTACHMENT G:

EMISSIONS CONTROL REDUCTION FACTORS AND
          METEOROLOGICAL DATA
                 D-110

-------
                        ATTACHMENT G
         GENERAL  FUGITIVE DUST EMISSIONS ASSUMPTIONS
                  AND METEOROLOGICAL DATA
     Reduction factors to account for emissions control
practices and assumptions regarding meteorological data
apply to all fugitive dust emissions estimates.

G.I  Reduction Factors
     Controlled fugitive dust emission rates were determined
by applying a reduction factor to the uncontrolled fugitive
dust emission rates, depending on the fugitive dust control
practices employed by each facility.  When several types of
housekeeping control practices were used, the following
order was assumed:  power washing, followed by area
vacuuming, followed by wet suppression.
     Table G-l presents the reduction factors assumed for
various combinations of fugitive dust emissions control
practices at secondary lead smelters.
     A reduction of 99.0 percent was applied for fugitives
dust control by total enclosure and ventilation to a
baghouse and/or scrubber.  The value was based on a range of
PM control efficiencies of 98.4 percent  (fabric filter on
blast furnace) to 99.8 percent (settling chamber plus dry
cyclone plus fabric filter on reverberatory furnace).*  This
reduction factor was applied to furnace and refining/casting
areas that are totally enclosed even if they are not
ventilated to a baghouse or scrubber.
     For power washing, a reduction of 69 percent was
assumed.  This is the reported .-maximum control efficiency
due to power washing, assuming water is applied at
0.48 gallons per square yard.2  No reduction was assumed for
power washing in the materials storage area.
     Wet suppression of any kind was assumed to reduce
emissions by 50 percent.  A control efficiency 9f 54 percent
was measured at a secondary lead smelter for a paved roadway

                            D-lll

-------
sprinkler system that operates 3 out of every 15 minutes.3
Other estimates of control efficiency found in the
literature are 50 percent for unpaved road watering4 and
50 percent for watering of storage piles.5
     For paved roads, area vacuuming was assumed to reduce
emissions by 34 percent, based on average measured
efficiency.6  No reduction was assumed for area vacuuming in
the materials storage area because of the heavy dust loading
in this area.
     For combinations of power washing, wet suppression, and
vacuuming, an order of application was assumed.  For
example, the value for power washing (69 percent efficiency)
followed by area vacuuming (34 percent efficiency)"was
calculated as follows:

          0.69 + [(1-0.69)*0.34] = 0.795 (or 79.5%)

The value for power washing followed by area vacuuming
(79.5 percent combined efficiency) and then followed by wet
suppression  (50 percent efficiency) was calculated as
follows:

          0.795 + [(1-0.795)*0.50] = 0.898  (or 89.8%)

G.2  Meteorological Data
     All fugitive dust emissions estimates used the
following meteorological parameters:
          Precipitation days per year  (p), rounded to the
          nearest 10,
          Mean wind speed  (U) in miles per hour, rounded to
          the nearest whole number, and
          Percent of time  the wind speed  exceeds 12 miles
          per hour  (f), rounded to the nearest  5.
     The meteorological values were  taken  from Climates  of
the States  (Third Edition) and were  rounded  from the  values
presented in an earlier memorandum to  discourage   r

                            D-112

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identification of actual facilities from the model plants
developed to represent the secondary lead industry.
                            D-113

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G.3  References
1.   U. S. Environmental Protection Agency.  Compilation of
     Air Pollutant Emission Factors.  Washington, DC.
     Publication No. AP-42.  September 1985. p. 7.11-8.

2.   Marinshaw, R. and D. Wallace, Midwest Research
     Institute.  Estimating and Controlling Fugitive Lead
     Emissions from Industrial Sources, Final Report.
     Prepared for the U. S. Environmental Protection Agency,
     Research Triangle Park, NC.  EPA Contract No. 68-02-
     4395, Work Assignment 41.  September 28, 1990.  p. 74.

3.   Memorandum from Marinshaw, R. and C. Cowherd, Midwest
     Research Institute, to Scott, D., OAQPS/AQMD.
     September 28, 1990.  Sealing Feasibility Study:  Source
     Identification for a New Lead Standard.  p. 12.

4.   Bohn, R., T. Cuscino, Jr., and C. Cowherd, Jr.,
     (Midwest Research Institute).  Fugitive Emissions from
     Integrated Iron and Steel Plants.  Prepared for the U.
     S. Environmental Protection Agency, Research Triangle
     Park, NC.  Publication No. EPA-600/2-78-050.  March
     1978.  p. 6-15.

5.   Bohn, R., T. Cuscino, Jr., and C. Cowherd, Jr.,
     (Midwest Research Institute).  Fugitive Emissions from
     Integrated Iron and Steel Plants.  Prepared for the U.
     S. Environmental Protection Agency, Research Triangle
     Park, NC.  Publication No. EPA-600/2-78-050.  March
     1978.  p. 6-20.

6.   Marinshaw, R. and D. Wallace, Midwest Research
     Institute.  Estimating and Controlling Fugitive Lead
     Emissions from Industrial Sources, Final Report.
     Prepared for the U. S. Environmental Protection Agency,
     Research Triangle Park, NC.  EPA Contract No. 68-02-
     4395, Work Assignment 41.  September 28, 1990.  p. 73.
                            D-114

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 TABLE G-l.   REDUCTION FACTORS FOR FUGITIVE DUST EMISSIONS
             CONTROL PRACTICES AT SECONDARY LEAD SMELTERS


   Reduction
   Factor (%)	Technique	

       99.0       Total enclosure ventilated to a baghouse
                  or scrubber

       89.8       Power washing,  followed by area
                  vacuuming,  followed by wet suppression

       84.5       Power washing,  followed by wet
                  suppression

       79.5       Power washing,  followed by area
                  vacuuming

       69.0       Power washing

       67.0       Area vacuuming,  followed by wet ~
                  suppression

       50.0       Wet suppression

	34.0	Area vacuuming	
                           D-115

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                         APPENDIX E

             CONTROL COST ESTIMATION PROCEDURES
1.0  INTRODUCTION
     The purpose of this appendix is to present the
procedures used to estimate the cost of control technologies
being considered as the candidate maximum achievable control
technology (MACT) for secondary lead smelters.  The cost
procedures outlined in this appendix are consistent with
those in the OAOPS Control Cost Manual1 where possible;
however, other sources were used to develop procedures for
control equipment not covered in the cost manual.  The
industry characterization data in the secondary lead smelter
database, presented in appendix C,2 are used with the
costing procedures to estimate (1) baseline control cost,
(2) potential control cost impacts of MACT, and (3)
potential control cost impacts of MACT in the fifth year
after proposal.
     This appendix is organized into seven sections.  The
costing procedures for afterburners are presented in
section 2.0,  for scrubbers in section 3.0, for hoods in
section 4.0,  for duct work in section 5.0, for wet
suppression in section 6.0, and for vacuum sweeping in
section 7.0.  Section 8.0 presents the references cited in
this appendix.

2.0  AFTERBURNERS
2.1  OVERVIEW
     An afterburner is essentially a thermal incinerator
that follows a furnace and is operated to combust organic
                             E-l

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compounds in the furnace exhaust.   Therefore, the cost
procedures described in the OAQPS Control Cost Manual1 for
thermal incinerators are used to estimate capital and annual
costs for afterburners that may need to be installed at
existing facilities.3  However, in estimating costs for new
afterburners at existing facilities, a retrofit factor is
applied to account for access and congestion problems that
may be encountered during installation.  Table 1 presents
these retrofit factors and guidelines for selecting the
appropriate factor.
     For new afterburners at existing facilities, a retrofit
factor of 0.42 is applied because of the afterburners'
proximity to the process equipment  (e.g., furnace).  The
retrofit cost is then determined by multiplying the retrofit
factor by the total direct cost of the new afterburner,
excluding duct work.  The cost of replacing an inadequate
afterburner is estimated in the same manner as for existing
afterburners, with the additional cost of removing the old
afterburner.  The cost of removing the inadequate
afterburner is assumed equivalent to the sum of the direct
and indirect installation costs of the new afterburner.4
2.2  DESIGN PARAMETERS
     This section discusses the calculation of the design
parameters needed to estimate the cost of an afterburner.
Data needed to calculate the design parameters used in cost
procedures include:
     •    Volumetric flow rate of the waste stream;
     •    Temperature of the waste stream;
     •    Chemical composition of the combustibles; and
     •    Combustion chamber outlet temperature.
The EAB Control Cost Manual-' states that a flue gas (furnace
exhaust) oxygen content of ci least  3 percent by volume is
required to ensure that sufficient oxygen is available for
combustion.  An afterburner test at a secondary lead
facility showed that between 8.2 and 10.2 percent oxygen

                             E-2

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TABLE 1.   SITE ACCESS  AND CONGESTION FACTORS  FOR
             RETROFITTING AIR POLLUTION CONTROL
                EQUIPMENT AT EXISTING PLANTSa
  Retrofit
   Factor
Congestion
  Level
Guidelines for Selecting Factor
    0.02       Base Case    Interferences similar to those at a
                            new plant with adequate crew work
                            space.  Free access for cranes.

    0.08          Low       Some  above-ground interferences and
                            work  space limitations.  Access for
                            cranes  limited to two sides.
                            Equipment cannot be laid out in
                            standard design.  Some equipment must
                            be elevated or located remotely.

    0.25        Medium      Limited space.  Interference with
                            existing structures or equipment that
                            cannot  be relocated.  Special design
                            is necessary.  Crane access limited to
                            one side.  Majority of equipment
                            elevated or remotely located.

    0.42         High       Severely limited space and access.
                            Crowded working conditions.  Access
                            for cranes blocked from all sides.
 aReference  4.
                               E-3

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remained in the gas stream after the afterburner.6
Therefore, it is assumed that no auxiliary air will be
added.  It is also assumed that waste gas will not be
preheated before entering the afterburner and that the
concentration of the combustibles in the waste stream is
below 25 percent of the lower explosive limit.
     Other design specifications will be obtained from the
facilities database discussed in a separate memorandum.2
The model plant data provided by the database are in metric
units; however, the variables in the cost equations must be
in English units.  Therefore, the temperature and gas flow
rate input parameters needed for costing are converted to
English units.  These conversions are shown in attachment 1.
     In the following sections, the afterburner design
parameters needed for the cost procedures are calculated for
an example waste stream.  Specifications of the example
waste stream are shown in table 2.  Additional detail is
provided in the spreadsheets in attachment l.
2.2.1     Step 1 - Standardization.
     The cost algorithms require that the waste gas flow
rate be standardized to 77°F and 1 atmosphere (atm) of
pressure.  It is assumed that the waste gas stream is near
1 atm.  The waste gas flow rate in units of actual cubic
feet per minute (acfm) are standardized to units of standard
cubic feet per minute (scfm) as follows:

           Qs = Qwo =  (Qa) [ (460 + 77) / (460 + Twi) ]       (2.1)

where:
     QS   =    waste gas flow rate (scfm)
     Qwo  =    outlet waste gas flow (scfm)
     Qa   =    waste gas flow rate (acfm)
     Twi  =    furnace exhaust temperature (°F)
                             E-4

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TABLE 2.  SPECIFICATIONS OF EXAMPLE WASTE STREAM FOR
          AFTERBURNER DESIGN AND COSTING PROCEDURES
Afterburner/Process Unit Specific Inputs
Afterburner operating temperature (°C)
Waste gas flow rate (actual m3/rain)
Percent moisture in exhaust from furnace (%)
Furnace exhaust temperature (°C)
Hours of operation per year (hrs/yr)
Inlet CO concentration (ppmv @1 atm, 25°C, dry)
Inlet total hydrocarbon concentration (mg C/m3 @
1 atm, 25°C, dry)
Variable
Name
Tfim
Qam
Pmoist
Twim
Ho
COin
THin
Value
870
1,133
1.0
260
8,760
10,000
2,000
                         E-5

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The example stream waste gas flow rate is:
       Qs = QWO = (40,000 acfm)  [(460 + 77) / (460 + 500)]

          - 22,400 SCfm


2.2.2     Step 2 - Heat of combustion of the waste stream
          calculation.
     The heat of combustion of the waste stream is
calculated as follows:3
                           IL
                   Hcwg =  [J£]  HiXi/(Dwi)              (2.2)
                          i='l

where:
     Hcwg =    heat of combustion of the waste stream
               [British thermal units per pound (Btu/lb)]
     n    =    number of combustibles
     Hi   =    volumetric heat of combustion of component i
               at 25°C  (Btu/scf)
     Xi   =    volume fraction of component i
     Dwi  =    inlet density of the waste gas  (Ib/scf)
     The primary combustible components in a secondary lead
furnace exhaust stream are total hydrocarbon  (THC) and
carbon monoxide (CO).  Numerous hydrocarbon compounds may be
emitted from a secondary lead furnace.  Results of EPA
testing show that benzene (a hydrocarbon) is typically
emitted in high concentrations.^  Therefore, the heat of
combustion of benzene is used as the heat of combustion  for
THC emitted from a furnace.  The heats of combustion for THC
and CO at 25°C are:

     Hth  =    3,587 Btu/scf for THC  (as benzene)8
     Hco  «    311 Btu/scf for CO9

The inlet concentration of THC  (as carbon) is  converted  to a
volume fraction of THC  (as benzene) as follows:
                             E-6

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                     (1 g C)     (l mol C)  (I mol hexane)
                   i^Qoo mg c  12-011 g c     6 mol c
                                                       (2.3)
                   (002447 m3)
                       mol
where :
     Xth  =    volume fraction of THC (as benzene) in waste
               gas (m3 THC/m3 waste gas)
     THin =    inlet concentration of THC (as carbon) (mg
               C/m3)
For the example waste stream, the conversion is as follows:

 Xth - (2f OOOmgC)   (IgC)    (ImolC)   (1 mol hexane)  (0.02447
           in3     l,OOOmgC 12.011gC)     6molC        mol

     = 6.8 x 10 ~4 m3 THC/m3  total

The composition of CO in the example waste stream is
converted from parts per million by volume (ppmv) to volume
fraction as follows:

        Xco - 10,000 ppmv x 10 ~6 - 0.01 m3 CO/m3 total
Assuming that the waste gas is principally air, with a
molecular weight of 28.97 and a density of 0.0739 Ib/scf,
the heat of combustion per pound of waste gas is:3

  Hcwa -  (6-8xlO~4)  (3,587 BtU/scf) + (0.01)  (3 . 11 Btu/scf )
     9                     0.0739 Ib/SCf
       =75 Btu/lb
2.2.3     Step 3; - Minimum auxiliary fuel requirement
          calculation.
     Waste gas streams with high heats of combustion may
require only enough auxiliary fuel in the afterburner to
stabilize the burner flame (less than 5 percent of the total
energy input).  The auxiliary fuel is assumed to be natural
gas with*a heat of combustion of 21,502 Btu/lb and a density
                             E-7

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of 0.041 Ib/scf.  The minimum auxiliary fuel required is

calculated as follows:3

                [Dwi x Qwo x Cpmfi (Tfi - Tref ) ] x 0.05       .
                             Daf x Hcaf                 (2>4)
where :
     Maux      =    minimum auxiliary fuel requirements
                    (scfm)

     Dwi       =    inlet density of the waste gas
                    (0.0739 Ib/scf)3

     Qwo       =    outlet waste gas flow (scfm)

     Cpmfi     =    mean heat capacity of waste gas
                    (0.255 Btu/lb-°F)3

     Tfi       =    afterburner operating temperature goal
     Tref      =    reference temperature, taken as the
                    inlet temperature of the auxiliary fuel,
                    (77°F)3

     Daf       =    density of auxiliary fuel  (Ib/scf) ;
                    natural gas (0.041 Ib/scf )3

     Hcaf      =    heat of combustion of auxiliary fuel
                    (Btu/lb) ; natural gas (21,502 Btu/lb)3
The minimum auxiliary fuel requirement for the example waste
stream is:
         0.0739^^ 22,400-^  0.255 °u"  (160QOF - 77°F)  (0
 Maux = A	3cf A	min/\      lb-°F/v  	;|

                                    /on  502 BtU\
                                    |21,502  lb|
        37
           mm
2.2.4     Step 4 - Auxiliary fuel requirement calculation.

     In general, more fuel is required to maintain the

afterburner temperature than just the minimum amount to
stabilize the burner flame.  With the following assumptions,
the auxiliary fuel requirement  (Qaf) can be estimated.3
                             E-8

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     •    The reference temperature (Tref) is taken as the
          inlet temperature of the auxiliary fuel  (77°F).

     •    An insignificant amount of auxiliary air is
          required.

     •    Energy losses (Hi) are assumed to be 10 percent of
          the total energy input to the incinerator above
          ambient conditions.  Thus, if the reference
          temperature is near ambient conditions,

          HI - 0.1 x Dfi x Qwo x Cpmfi x  (Tfi - Tref)   (2.5)

     •    The heat capacity of the waste gas at the entrance
          and exit of the combustion chamber are
          approximately the same.  This is true for waste
          streams, which are dilute mixtures of organic^ in
          air.

With these assumptions, the auxiliary fuel requirement is
estimated with the following equation:3

 Oaf - Dwo x Qwo  [ (Cpmfi (1.1 x. Tf i-Twi-0.1 x Tref)) -HcwoJ fi.
              [Hcaf -1.1 x Cpmfi x  (Tfi - Tref)] Daf     ^  '

For the example waste stream, each of the terms in

equation 2.6 is as follows:

     Dwo  =    0.0739 Ib/scf

     Qwo  =    22,400 scfm; from Step 1

     Cpmfi=    0.255 Btu/lb-°F

     Tfi  =    1,600 °F

     Twi  =    500 °F

     Tref =    77 °F

     Hcwg =    75 Btu/lb; from Step 2

     Hcaf =    21,502 Btu/lb

     Daf  =    0.041 Ib/scf

The auxiliary fuel requirement for the example waste stream
is:


For the example waste stream, the auxiliary fuel requirement

(Qaf)  is greater than the minimum auxiliary fuel requirement
                             E-9

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                  (0.0739 JllL)  (22,400  SCf )
 _ _                      scf           min
 Qaf =
              15 til
       [21,502 -  - 1.1 X 0.255 - ___ X (1600°F - 77°F) ]
               lb               lb-°F
                  Btu                                         Rtu
         [(0.255 — - ) (1.1 Xl600°F - 500°F - 0.1 X 77°F) - 75    ]
                 lb-°F                                         lb
       x --
                                (0.041
                                       SCf
     = 470 scfm

(Maux); therefore, the value for Qaf (470 scfm) is used to
estimate the auxiliary fuel cost.
2.2.5     Step 5 - Calculation of the total standard
          volumetric flow rate of gas through the
          incinerator.
     The total standard volumetric flow rate of gas leaving
the afterburner (Qtot) is the basis of the cost
correlations.  The total flow rate measured at standard
conditions of 77°F and l atm is the sum of the inlet streams
to the afterburner.3
                       Qtot » Qs  + Qaf                  (2.7)

The total flow rate for the example waste stream is:
                Qtot = 22,400 scfm + 470 scfm

                     - 22,870 scfm

2.3  COSTING PROCEDURES
     This section discusses the costing procedures for
estimating capital and annual costs for afterburners.  The
costing methodology was derived from the OAQPS Control Cost
Manual.3  All costs are converted to December 1991 dollars
using the appropriate indices* presented in table 3.
Detailed example cost calculation spreadsheets are presented
in attachment 1.
                            E-10

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                 TABLE  3.   COST  INDICES
Time Frame
Chemical Enaineerina
April 1988
December 1991
June 1991
Third Quarter 1986
July 1988
February 1989
February 1988
March 1980
August 1988
December 1988
Industrial Commoditi
Index
Plant Cost
340.1
359.3
362.1
317.9
343.0
352.4
336.1
253.5
344.0
Variable
Name
Indices
11
12
13
14
15
16
17
110
111
349.2 112
es Less Fuels and Related
Reference
10
11
12
13, 14
15
16
17
18
15
19
Products
Index
February 1992          126.7        18            20
December 1991          126.2        19            21
                         E-ll

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2.3.1     Total Capital Investment
     Total capital investment (TCI) for afterburners
includes equipment cost (EC) for the afterburner itself, the
cost of auxiliary equipment (e.g., duct work, fans), direct
installation costs, indirect installation costs, building
costs, site preparation, off-site facilities, land, and
working capital.  Building costs, site preparation, off-site
facilities, land, and working capital are considered
negligible for afterburners at secondary lead facilities and
are not included in the costing procedures.  Duct work costs
are discussed in section 5.0.   Fan costs are considered
negligible for afterburners,, both because the facility will
already have a fan and because the pressure drop across the
afterburner will be relatively small.
     2.3.1.1   Equipment Cost.  The EC for afterburners is
estimated with the cost equation for a recuperative thermal
incinerator with no heat recovery from the OAQPS Control
Cost Manual.^  The cost is given as free on board  (F.O.B) in
April 1988 dollars but is converted to December 1991 dollars
using the Chemical Engineering plant cost indices presented
in table 3.  The EC is estimated as a function of total
volumetric throughput (Qtot) in scfm as follows:3

              EC = 10,294  Qtot 0.2355 x (12/11)          (2.8)

where:
     EC   =    afterburner cost  (December 1991 dollars)
     12   =    December 1991 plant cost index (359.3)10
     II   =    April 1988 plant cost index (340.l)11

     2.3.1.2   Installation Costs.  The purchased equipment
cost (PEC) is the sum of the EC and the cost of auxiliary
equipment  (e.g., duct work, fans), taxes, freight, and
instrumentation.  The cost of duct work is addressed in
section 5.0.  Taxes, freight,  and instrumentation are
fractions of the EC and are presented in table 4.  Average
values of direct and indirect installation factors to be

                            E-12

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     TABLE 4.   CAPITAL COST FACTORS  FOR AFTERBURNERSa
                     Cost  Item
  Factor
 Direct Costs
   Purchased equipment costs
     Incinerator (EC)  + auxiliary equipment13
     Instrumentation
     Sales taxes
     Freight
       Purchased equipment cost  (PEC)

   Direct Installation Costs
     Foundations & supports
     Handling & erection
     Electrical
     Piping
     Insulation for duct work
     Painting
       Direct installation cost
             Total Direct Cost  (DC)
As estimated, A
         0.10 A
         0.03 A
         0.05 A
     B = 1.18 A
         0.08 B
         0.14 B
         0.04 B
         0.02 B
         0.01 B
         0.01 B
         0.30 B
         1.30 B
 Indirect Costs (Installation1
   Engineering
   Construction and field expenses
   Contractor fees
   Start-up
   Performance test
   Contingencies
             Total Indirect  cost  (1C)
             Total Capital Investment  (TCI)
             DC +  1C
         0.10 B
         0.05 B
         0.10 B
         0.02 B
         0.01 B
         0.03 B
         0.31 B
         1.61 B
aReference 3.
"Auxiliary equipment cost  considered separately.
                               E-13

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applied to the PEC are also presented in table 4.  The sum
of the EC, the direct installation costs, and the indirect
installation costs yields the TCI.  Table 5 shows the
itemized PEC and installation costs for the example waste
stream.
2.3.2     Total Annual Cost
     The total annual cost (TAG)  is the sum of the direct
and indirect annual costs.  The TAG for the example stream
is shown in table 6, along with suggested factors for each
item.  The following sections discuss the various elements
that make up the annual costs for operating an afterburner
system.
     2.3.2.1   Direct Annual Costs.  Direct annual costs for
afterburners include labor (operating and supervisory),
maintenance (labor and materials), and fuel.  A
December 1991 operating labor rate (Copla) of $13.49 per
hour was obtained from the Survey of Current Business.22
Operating labor for an afterburner is estimated at 0.5 hours
per 8-hour shift.  The cost of supervisory labor is
estimated at 15 percent of the cost of the operating labor.
The maintenance labor rate (Cmla) is estimated to be
10 percent higher than the operating labor rate at $14.84
per hour, and the amount of maintenance labor required is
0.5 hours per shift.  The cost of maintenance materials is
estimated as equal to the cost of maintenance labor.3  The
fuel for afterburners is assumed to be natural gas at a cost
of $3.03 per thousand cubic feet.23
     The cost of auxiliary fuel  (i.e., natural gas) is
calculated as follows:3

               „  .        (Qaf x 60 x Ho)                ,
               Nat_gas = —	 x Cng          (2.9)
                              1000

where:
     Nat_gas   =    auxiliary fuel cost  (December 1991 $/yr)
     Qaf       =    auxiliary fuel requirement (scfm)
                            E-14

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 TABLE  5.  EXAMPLE AFTERBURNER WASTE STREAM  CAPITAL COSTS

	Cost  Item	Cost	
 Direct  Costa
   Purchased equipment costs
     Afterburner (EC - 10,294 Qtot 0.2355)                        S109.423
     Convert to  December  1991 dollars                              115,600
       (A = EC (12/11))
     Instrumentation (0.10A)                                        11,560
     Sales tax (0.03A)                                               3,468
     Freight (0.05)                                             	5.780
            Purchased equipment cost  (B)                         $136,408

   Direct Installation Costs
     Foundations & supports  (0.08B)                                 10,913
     Handling  &  erection  (0.14B)                                    19,097
     Electricity (0.04B)                                             5,456
     Piping (0.02B)                                                  2,728
     Insulation  for duct  work  (0.01B)                           	1,364
     Painting  (0.01B)                                                1,364
            Direct installation cost  (0.03B)                      $40,922

            Total Direct Cost  (DC) »  1.30B                       $177,330

 Indirect Costs  (Installation!
   Engineering (0.10B)                                              13,641
   Construction  and field expenses (0.05B)                           6,820
   Contractor  fees (0.10B)                                          13,641
   Start-up (0.02B)                                                  2,728
   Performance test (0.01B)                                          1,364
   Contingencies (0.03B)                                        	4,092
            Total Indirect Cost (1C)  = 0.31B                      $42,286
	Total Capital Investment  (TCI) = DC+IC               $219,617
                               E-15

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 TABLE  6.  EXAMPLE AFTERBURNER WASTE STREAM ANNUAL  COSTS

	Cost Item	Cost	
 Direct  Annual Costs
   Operating labor
     Operator (0.5 hrs/shift)                                      $7,386
     Supervisor  (15% of op. labor)                                  1,108

   Maintenance
     Labor (0.5  hrs/shift)                                          8,124
     Materials (100% of main, labor)                                8,124

   Utilities
     Natural gas                                                 748.354
            Total Direct Annual Cost (TDAC)                      $773,096

 Indirect  Annual Costs
   Overhead (60% of operating, tmpv., & maint.
     labor, and  maintenance materials                              14,845
   Administrative charges  (0.02 TCI)                                4,392
   Property tax  (0.01 TCI)                                          2,196
   Insurance (0.01 TCI)                                             2,196
   Capital Recovery (CRF x TCI)                                   S31.269
            Total Indirect Annual Cost (TIAC)                     $54,899

	Total Annual Cost (TAG) = TDAC + TIAC	$827,995
                               E-16

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     Ho        =    hours of operation per year
     Cng       =    cost of natural gas ($3.03/thousand ft3)
     2.3.2.2   Indirect Annual Costs.  Indirect annual costs
include overhead, administrative changes,  property tax,
insurance, and capital recovery.  Overhead is calculated as
60 percent of the sum of operating labor,  supervisory labor,
maintenance labor, and maintenance materials costs.
Administrative changes, property tax, and insurance can be
estimated at 1 percent, 1 percent, and 2 percent of the TCI,
respectively.  The system capital recovery will be based on
a 10-year equipment life and a 7 percent annual interest
rate.  The annual capital recovery is calculated by
multiplying the TCI by a capital recovery factor (CRF),
which is determined as follows:3

                            i  (i + i\Ls
                      CRF =    *     ;                  (2.10)
                            (1 + i)Ls-l

where:
     CRF  =    capital recovery factor
     i    =    annual interest rate, (decimal)
     Ls   =    system life (years)
Using equation 2.10, the CRF for afterburner is 0.142.

3.0  SCRUBBERS
3.1  OVERVIEW
     The costing procedures described in The Cost Digest;
Cost Summaries of Selected Environmental Control
Technologies24 are used to estimate the capital and annual
costs for scrubbers.
     The cost of new scrubbers that may need to be installed
at existing facilities as a result of the standard are
estimated using the same procedures as for existing
scrubbers.  A retrofit factor is not applied because
scrubbers are generally located in an open area outside and
away from the main facility.  The primary purpose of
existing scrubbers at secondary lead facilities is for
                            E-17

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sulfur dioxide (SO2) removal; however,  hydrochloric acid
(HC1) emissions reductions may also be achieved through the
use of a scrubber.  Hydrochloric acid is preferentially
removed by an S02 scrubber.  The cost of replacing existing
scrubbers is not addressed because it is unlikely that any
scrubbers will need to be replaced to increase HC1 emissions
reductions.
3.2  DESIGN PARAMETERS
     The design parameter calculations for scrubbers are a
great deal simpler than those for afterburners.  The only
design parameter calculations are the temperature and
volumetric flow rate conversions from metric to English
units for the cost algorithms.  Example calculations are
shown in attachment 2.
3.3  COSTING PROCEDURES
     This section discusses the costing procedures for
estimating capital and annual costs for spray, tray,
packed-bed, and venturi scrubbers.  The cost equations
provide costs in March 1980 dollars; however, they are
converted to December 1991 dollars using the Chemical
Engineering plant cost indices presented in table 3 above.
The Cost Digest25 provides capital and annual operating cost
curves in relation to waste gas flow rate.  In order to
obtain cost equations, several points were selected from the
curves and linear regression was performed.  The detailed
calculations for deriving the cost equations for scrubbers
is shown in attachment 3.
     The specifications of an example waste stream are shown
in table 7 in order to present example costs.  Capital costs
for the example stream are presented in table 8 and annual
costs are presented in table 9.  Detailed scrubber example
costing spreadsheets are presented in attachment 2.
3.3.1     Total Capital Investment
     3.3.1.1   Spray Scrubbers.  The cost algorithms for
spray scrubbers use the cost curves for the lime/limestone
flue gas desulfurization  (FGD) system presented in The Cost
Digest.25  The algorithms include costs for the scrubber,
                            E-18

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  TABLE 7.   SPECIFICATIONS OF EXAMPLE WASTE STREAM FOR
         SCRUBBER DESIGN AND COSTING PROCEDURES

                                           Variable
  Scrubber/Process Unit Specific Inputs	Name	Value
Scrubber type                              SC_type     Spray
Waste gas flow rate (actual m3/min)        Qam         1,130
Pressure drop (mmHg)                       PDm            20
Outlet temperature  (°C)                    Tout           80
Hours of operation per year  (hrs/yr)       Ho          8,760
Inlet SO2 concentration  (ppmv @ 1 atm,     SO2in       1,000
25°C, dry)	
                         E-19

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  TABLE 8.   EXAMPLE SCRUBBER WASTE  STREAM CAPITAL COSTS


	Cost Item	Cost

 Scrubber system cost                           $2,449,572

 Venturi scrubber stainless steel add-on                 0

               Total Capital Investment         $2,449,572
	(TCI)	
                          £-20

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   TABLE 9.   EXAMPLE SCRUBBER WASTE STREAM ANNUAL COST

	Cost Item	Cost
 Operating cost                                   $831,207
 Venturi scrubber stainless steel add-on                 0
 Capital recovery (TCI x CRF)                 	268,950
	Total Annual Cost (TAG)	$1,100,157
                          E-21

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holding tank, solid/liquid separation system, sorbent  (lime)
preparation systems, solids disposal, and auxiliaries  (e.g.,
fans, pumps, duct work).  The system is assumed to have a
15-year life and a 90-percent SC>2 removal efficiency.  The
Cost Digest provides cost curves for TCI in terms of gas
flow rate in acfm.  The following points were selected from
the curves:25
       Gas Flow Rate facfml   TCI  (March 1980 dollars)
              41,000                  1,800,000
              82,000                  2,250,000
             124,000                  2,600,000
             165,000                  2,850,000
Using linear regression, the following capital cost equation
was derived (R2 = 0.98):

      TCIun_sp = Gas Flow Rate (acfm) x 8.454 + 1,504,247(3.1)

This equation corresponds to a waste gas with an SC>2
concentration of 1,474 ppmv.  The capital cost of a spray
scrubber varies with SC>2 concentration; therefore, an
equation was derived to calculate a multiplier factor for
capital costs as a function of SO2 concentration.  At
1,474 ppmv SC>2, the multiplier factor would be 1.0; at
253 ppmv S02, it would be 0.847.  Using linear regression,
the following capital cost multiplier factor equation was
derived (R2 = 0.98):

        TCImf_sp = 0.0001253 X SC>2 cone, (ppmv) + 0.815   (3.2)

Therefore, the TCI'for spray scrubbers is calculated as
follows:

                TCI_sp = TCIun_sp x TCImf_sp           (3.3)

     3.3.1.2  Trav and Packed-Bed Scrubbers.  The cost
algorithms for tray scrubbers and packed-bed scrubbers use
the cost curves for the sodium alkali FGD system presented
in The Cost Digest.25 The algorithms include costs for the
same items as for spray scrubbers except that a waste  liquid

                            E-22

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disposal  cost  is  included and the scrubbing medium  is  soda
ash.  As  with  spray scrubbers, The Cost Digest provides  cost
curves  for TCI (in terms of gas flow rate.  The  following
points  were  selected  from the curves:25
       Gas Flow Rate  facfml  TCI  (March  1990  dollars!
               41,000                  1,260,000
               82,000                  1,575,000
              124,000                  1,820,000
              165,000                  1,995,000
Using linear regression, the following capital cost equation
was derived  (R2 = 0.98):

      TCIun_tp = Gas Flow Rate (acfm) x 5.918 + 1,052,973(3.4)

As with spray  scrubbers, this equation corresponds  to  an SO2
concentration  of  1,474 ppmv.  A capital cost  multiplier
factor  equation was derived for tray and packed-bed scrubber
systems as well.  At  1,474 ppmv SO2, the multiplier factor
would be  1.0;  at  253  ppmv SO2, it would be 0.839.   Using
linear  regression, the following capital cost multiplier
factor  equation was derived (R2 = 0.98):

        TCImf_tp = 0.0001319 x SO2 cone, (ppmv) + 0.806  (3.5)

Therefore, the TCI for tray and packed-bed scrubbers is
calculated as  follows:

                 TCI_tp = TCIun_tp x TCImf_tp            (3.6)
     3.3.1.3  Venturi Scrubbers.  The cost algorithms  for
venturi scrubbers are based on carbon steel construction
with a clarifier  for wastewater treatment and solids
removal.  For stainless steel construction, the capital
costs are increased by 134 percent.  The Cost Digest
provides cost curves for total capital investment in terms
of gas flow rate.  The following points were  selected  from
the curves:26
                            E-23

-------
       Gas Flow Rate facfm)   TCI  (March 1980 dollars)
              10,000                    110,000
              20,000                    190,000
              30,000                    250,000
              40,000                    300,000
              50,000                    350,000
              60,000                    400,000
              70,000                    450,000
              80,000                    500,000
              90,000                    550,000
             100,000                    600,000
Using linear regression, the following capital cost equation
was derived:

        TCI_ven = Gas Flow Rate  (acfm) x 5.261 +  80,667   (3.7)

Secondary lead smelters do not use venturi scrubbers to
control SO2 emissions; therefore, SO2 concentration is not
considered in the estimated capital cost of a venturi
scrubber.
3.3.2  Annual Costs
     The annual operating cost algorithms for scrubbers were
developed in a similar manner to those for capital costs.
Annual capital recovery is determined using a 15-year life
and a 7 percent annual interest rate.25  Using equation
2.10, the CRF for scrubbers is 0.110.
     3.3.2.1  Spray Scrubbers.   The annual operating cost
algorithms for spray scrubbers were developed from cost
curves in The Cost Digest.  The following points were
selected from the curves:25
                               Annual Operating Cost
       Gas Flow Rate (acfm)      (March 1980 dollars)
              41,000                    660,000
              82,000                  1,040,000
             124,000                  1,440,000
             165,000                  1,800,000
Using linear regression, the following capital cost equation
was derived (R2 = 0.98):
     As with the capital cost algorithms, this equation
corresponds to an SO2 concentration of 1,474 ppmv.
                            E-24

-------
       Op_un_sp = Gas Flow Rate (acfm) x 9.228 + 284,564  (3.8)
Therefore, an annual operating cost multiplier factor
equation was derived to account for different concentrations
of SO2-  At 1,474 ppmv SC>2, the annual cost multiplier
factor would be 1.0; at 253 ppmv SO2/ it would be 0.67.
Using linear regression, the following annual operating cost
multiplier factor equation was derived (R2 = 0.98):

        Op_mf_sp = 0.0002703 x S02 cone, (ppmv) + 0.602  (3.9)

Therefore, the total annual operating cost for a spray
scrubber is estimated as follows:
                T_op_sp = Op_un_sp x Op_mf_sp          (3.10)

     3.3.2.2  Tray and Packed-Bed Scrubbers.  The annual
operating cost algorithms for tray and packed-bed scrubbers
were developed from cost curves in The Cost Digest.  The
following points were selected from the curves:25
                               Annual Operating Cost
       Gas Flow Rate facfnO     (March 1980 dollars)
              41,000                    594,000
              82,000                    936,000
             124,000                  1,296,000
             165,000                  1,620,000
Using linear regression, the following capital cost  equation
was derived (R2 = 0.98):
       Op_un_tp = Gas Flow Rate (acfm) x 8.305 + 256,107(3.11)

     As mentioned in section 3.3.2.1, this equation
corresponds to an SO2 concentration of 1,474 ppmv.
Therefore, an annual operating cost multiplier factor
equation was derived to account for different concentrations
of S(>2.  At 1,474 ppmv SO2 / the annual cost multiplier
factor would be 1.0; at 253 ppmv SO2, it would be 0.588.
Using linear regression, the following annual operating cost
multiplier factor equation was derived (R2 = 0.98):
                            E-25

-------
        Op_mf_tp = 0.0003374 x SO2 cone, (ppmv) + 0.503  (3.12)


Therefore, the total annual operating cost for tray and
packed-bed scrubbers is estimated as follows:

                T_op_tp = Op_un_tp x Op_mf_tp          (3.13)

     3.3.2.3  Venturi Scrubbers.  The annual operating cost
algorithms for venturi scrubbers were developed from cost
curves in The Cost Digest.   Annual operating cost curves for
low-energy [10 inches of water (in. H2O)], medium-energy (20
in. H2O), and high-energy (40 in. H20) systems in terms of
gas flow rate is provided.26
     The following points were selected from the low-energy
cost curves:
                               Annual Operating Cost
       Gas Flow Rate facfm)      (March 1980 dollars)
              10,000                     40,000
              20,000                     63,000
              30,000                     79,000
              40,000                     92,000
              50,000                    110,000
              60,000                    120,000
              70,000                    130,000
              80,000                    140,000
              90,000                    150,000
             100,000                    160,000

Using linear regression, the following capital cost equation
was derived (R2 = 0.98):

       Op_ven_l = Gas Flow Rate (acfm) x 1.284 + 37,800 (3.14)
                            E-26

-------
     The following points were selected  from the medium-
energy cost curves:
                               Annual Operating Cost
       Gas Flow Rate facfm)     (March 1980 dollars)
               10,000                     50,000
               20,000                     78,000
               30,000                     92,000
               40,000                    120,000
               50,000                    140,000
               60,000                    155,000
               70,000                    180,000
               80,000                    190,000
               90,000                    200,000
              100,000                    210,000

Using linear regression, the following equation was derived
(R2 = 0.98) :

       Op_ven_m = Gas Flow Rate (acfm) x 1.805 + 42,200 (3.15)

     The following points were selected  from the high-energy
cost curves:
                               Annual Operating Cost
       Gas Flow Rate facfm)     (March 1980 dollars)
               10,000                     60,000
               20,000                     90,000
               30,000                    120,000
               40,000                    160,000
               50,000                    190,000
               60,000                    200,000
               70,000                    240,000
               80,000                    260,000
               90,000                    290,000
             100,000                    300,000

Using linear regression, the following equation was derived
(R2 = 0.98):

            Annual     Gas
           Operating = Flow  (acfm) x 2.733 + 40,667     (3.16)
              Cost      Rate

     The annual operating cost of a venturi scrubber
operating at a pressure drop less than 15  in. H2O is

                            E-27

-------
estimated with the low-energry cost equation (equation 3.14).
The annual operating cost of venturi scrubbers with pressure
drops between 15 and 30 in. H2<5 is estimated using the
medium-energy cost equation (equation 3.15), and the annual
operating cost of venturi scxubbers with greater than 30 in.
H2O pressure drop is estimated using the high-energy cost
equation (equation 3.16).  Secondary lead smelters do not
use venturi scrubbers to control SO2 emissions; therefore,
SO2 concentration is not considered in the estimated annual
cost of a venturi scrubber.  The annual operating costs for
venturi scrubbers are shown in figure 1.

4.0  HOODS
     Process fugitive emissions sources at secondary lead
smelters that will likely require hoods include:
     •    Smelting furnace charging hoppers, chutes, and
          skip hoists;
     •    Smelting furnace lead taps and molds;
     •    Smelting furnace slag taps and molds;
     •    Refining kettles;
     •    Drying kiln transition pieces; and
     •    Agglomerating furnace process vents and product
          taps.

     Normally, the cost of a hood is included as part of the
auxiliary equipment cost for a control device (e.g.,
afterburner or scrubber).  However, because of the large
number of potential sources that may require hooding and the
various control devices to which hoods may be vented, the
capital and the annualized costs associated with hooding are
estimated separately from the control devices.  The hood
cost estimation methodology is based on the methodology
presented in Estimating Costs of Air Pollution Control.27
The estimated costs are given in August 1988 dollars but are
                            El-2 8

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converted to December 1991 dollars using the Chemical
Engineering plant cost indices presented in table 3  (above)
4.1  HOOD COSTING METHODOLOGY
     The methodologies for estimating costs for circular
hoods and for rectangular hoods are presented separately.
Rectangular hoods are costed for all process fugitive
sources described above except refining kettles (for which
circular hoods are costed).  The cost of rectangular hoods
is estimated as:28
           Price
 [December
  1991
 dollars
+ 39.0
         1.80,  /TO/TI-M      (4-1)
where:
     L    =    hood length (ft)
     111  =    August 1988 plant cost index (344)15
     A hood length-to-width (L/W) ratio of 1.0 is associated
with equation 4.1.  It is likely that many of the
rectangular hoods at secondary lead smelters will have
higher L/W ratios than 1.0; however, this will not
significantly affect the cost estimates for hoods overall
and should be within a 30-percent margin of error.
     The cost of circular hoods will be estimated as:28
           Price
December
  1991
dollars
+ 47.1
         1.62, ,To/T11x     (4.2)
where:
     dh   =    hood diameter (ft)
     The hood cost equations are for 3/16-inch carbon steel
hoods.28  A multiplier of 4.4 is used to increase hood costs
in order to account for stainless steel construction for
corrosive gas streams (e.g., hopper hood exhaust).29
     The cost of a hood is dependent on the length or
diameter of the hood.  Because of the lack of information on
                            E-30

-------
recommended hood sizes for the various process fugitive
sources at secondary lead smelters, default lengths and
diameters were established.  Table 10 presents the default
hood lengths, widths, and diameters for the various process
fugitive sources.
4.2  FLOW RATE CALCULATIONS
     In order to estimate the fan and duct work costs for
controlling hooded sources, the volumetric flow rate of
exhaust from each source must be estimated.  The flow rate
from a hood must be high enough to ensure adequate capture
of emissions.  The recommended hood face velocity for
sources at secondary lead smelters is 300 ft/min.30
     Because of the lack of information about actual face
velocities at existing facilities, it is assumed for costing
purposes that existing facilities are using face velocities
of 300 ft/min to control hooded process fugitive emission
sources.  The volumetric flow rate is determined by
multiplying the face velocity (300 ft/min) by the hooded
area.  Recommended hood areas and volumetric flow rates for
controlling process fugitive sources are shown in table 10
(above).

5.0  DUCT WORK COSTING PROCEDURES
     The design and costing procedures for duct work were
derived from Estimating Costs of Air Pollution Control.31
The cost of 300 feet of primary duct work is estimated for
each control system.  The cost of 20 feet of secondary duct
work is estimated for each hooded process fugitive emission
source.  The cost of 40 feet of secondary duct work is
estimated for each enclosed and controlled fugitive dust
emissions source.
                            E-31

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5.1  DESIGN PARAMETERS
     The cost of duct work is related to the total weight of
the duct work.  For costing purposes, the duct work at
secondary lead smelters is assumed to be round.  In order to
calculate the weight of duct work, the diameter and the
length must be established.  The diameter of duct work is
calculated by the following relationship:31
               D_duct = 13.54  (flow/V_duct)
0.5         (5.1)
where:
     D_duct    =    diameter of duct work  (in.)
     flow      =    flow rate of waste gas (acfm)
     V_duct    =    velocity of waste gas  in duct  (ft/min)

     The waste gas flow rate from furnaces is obtained from
the model plants database.  The waste gas  flow rate from
hooded process fugitive sources is obtained from table 10.
The waste gas flow rate from enclosures is determined
assuming 15 air changes per hour.  A velocity of
5,000 ft/min of waste gas in the duct work (V_duct) is used
for the ductwork design procedures.31
     The weight of duct work is calculated as:31

          W_duct = 32 x (D_duct/12) x L_duct x 1.225     (5.2)

where:
     W_duct    =    weight of duct work (Ib)
     L_duct    =    length of duct work (ft)
The 1.225 multiplier factor is a stiffener factor for
streams at a pressure drop between 10 and  20 in. H2O.31
5.2  COSTING PROCEDURES
5.2.1  Capital Cost
     The cost per pound of duct is different for various
duct diameters.  The cost of duct work with a diameter
between 2 and 4 feet is calculated as:31

               Duct_C = W_dUGt X 1.03 X  (12/16)          (5.3)
                            E-33

-------
The cost of duct work greater than 4 feet in diameter is
calculated as:31
               Duct_C = W_duct X 0.97 X  (12/16)          (5.4)

where:
     Duct_C    =    duct cost (December 1991 dollars)
     16        =    February 1989 plant cost index (352.4)16

These cost equations are for straight,  1/4-inch carbon steel
duct work.  For corrosive exhaust streams, a stainless steel
multiplier of 4.4 is applied.  Because of the high
particulate loading of exhaust streams at secondary lead
smelters, elbows and sharp turns in duct work are
undesirable.  Therefore, the number of elbows and sharp
turns are minimized and no additional duct work costs for
elbows are included in the estimated costs for duct work.
5.2.2  Annual Cost
     The annual cost for duct work is the annual capital
recovery.  The CRF for duct work is based on a 10-year
equipment life and a 7 percent annual interest rate.  Using
equation 2.10, the CRF for cluct work is 0.142.

6.0  WET SUPPRESSION
     Control of emissions by wet suppression will likely be
required for some fugitive dust emission sources at
secondary lead smelters.  Wet suppression costs are based on
wetting fugitive dust sources with water only, without
chemical surfactants.
6.1  DESIGN PARAMETERS
     The cost elements for wet suppression are based on the
total area that needs to be wetted and water usage.  For
areas that store piles of materials (e.g., the battery
breaking area, the materials storage area), the surface area
to be wetted is considered equivalent to the area
represented in the model plants database  (in square meters).
The rate of water application is estimated to be
7,500 liters per hectare  (ha) of treated surface area per
                            E-34

-------
day (800 gallons per acre per day) , with wetting performed
365 days per year.  This rate is based on wetting the area
to a depth of 0.75 millimeters per day (0.03 in. /day).
However, because all secondary lead smelters are required to
collect and treat storm water runoff, it is assumed that
captured storm water will supply 75 percent of the water
applied.  Therefore, the water usage rate for costing
purposes is assumed to be only 1,875 liters per hectare per
day (200 gallons per acre per day) .
     The surface area to be wetted is calculated as:

                 SA = SAm x (1 ha/10,000 m2)             (6.1)

where :
     SA   =    surface area to be wetted (ha)
     SAm  =    area to be wetted  (m2)
6.2  COSTING PROCEDURES
     Capital costs were considered negligible for the
installation of an automated sprinkler system.  The cost of
wet suppression is based solely on water usage.  The cost of
water is estimated at $1.057 per thousand liters ($4.00 per
thousand gallons) in Fall 1991 dollars.32
     The cost of wet suppression is therefore:

          Annual             Water
        Operating = SA (ha) x Usage (liter/ha/day)
           Cost              Rate
                                                       (6.2)
                    x 365      x WatSr ($/l,000 liter)
                          yj.    COSt
7.0  VACUUM SWEEPERS
     Control of emissions by vacuum sweeping will likely be
required of some fugitive dust emissions sources at
secondary lead smelters.
                            E-35

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7.1  COSTING PROCEDURES
7.1.1  Capital Cost
     The capital cost of a regenerative vacuum sweeper based
on August 1993 dollars is $47,000, delivered.33
7.1.2  Annual Cost
     The annual cost for vacuum sweeping includes the annual
capital recovery and the annual labor cost associated with
operating the sweeper.  The CRF for a sweeper is based on a
10-year equipment life and a 7 percent annual interest rate.
Using equation 2.10, the CRF for a sweeper is 0.142.
     Operating labor for a sweeper is estimated at 1 hour
per day per affected area, using an operating labor rate of
$13.90 per hour.
                            E-36

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8.0  REFERENCES
1.   U. S. Environmental Protection Agency.  Office of Air
     Quality Planning and Standards.  OAQPS Control Cost
     Manual.  EPA 450/3-90-006.  January 1990.

2.   Memorandum from Pelt, R., Radian Corporation to George
     Streit, EPA/ISB.  June 15, 1992.  Development of
     Databases for Existing and New Secondary Lead Smelters
     (Final).

3.   Reference 1.  pp. 3-1 to 3-66.

4.   U. S. Environmental Protection Agency.  Office of Air
     Quality Planning and Standards.  Municipal Waste
     Combustors - Background Information for Proposed
     Standards:  Cost Procedures.  EPA 450/3-89-27.  August
     1989.  pp. 3.7-2 to 3.7-3.

5.   U. S. Environmental Protection Agency.  Office of Air
     and Radiation.  EAB Control Cost Manual.  EPA 450/5-87-
     001A.  February 1987.  p. 3-2.

6.   Resources Consultants, Inc.  Determination of
     Destruction Efficiency of Total Gaseous Non-Methane
     Organic Emissions Conducted on Blast Furnace No. 4
     Flash Tank Afterburner.  Sanders Lead Company.  Troy,
     Alabama.  July 27, 1990.

7.   Roy F. Weston, Inc.  Secondary Lead Smelters VOC
     Screening Sample Test Results.  Work Order No. 06709-
     001-023.  September 1, 1992.

8.   Handbook of Chemistry and Physics.  CRC Press, Inc.
     1988.  p. D-119.

9.   Felder, R. M. and R. W. Rousseau, Elementary Principles
     of Chemical Principles, Second Edition.  1986.  p. 612.

10.  Chemical Engineering Plant Cost Index.  Chemical
     Engineering.  Volume 99, No. 3.  March 1992.

11.  Chemical Engineering Plant Cost Index.  Chemical
     Engineering.  Volume 95, No. 10.  July 18, 1988.

12.  Chemical Engineering Plant Cost Index.  Chemical
     Engineering.  Volume 98, No. 9.  September 1991.

13.  Chemical Engineering Plant Cost Index.  Chemical
     Engineering.  Volume 93, No. 22.  November 24, 1986.

14.  Chemical Engineering Plant Cost Index.  Chemical
     Engineering.  Volume 93, No. 23.  December 8, 1986.
                            E-37

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15.  Chemical Engineering Plant Cost Index.  Chemical
     Engineering.  Volume 95, No. 15.  October 24, 1988.

16.  Chemical Engineering Plant Cost Index.  Chemical
     Engineering.  Volume 96, No. 5.  May 1989.

17.  Chemical Engineering Plant Cost Index.  Chemical
     Engineering.  Volume 95, No. 6.  May 23, 1988.

18.  Chemical Engineering Plant Cost Index.  Chemical
     Engineering.  Volume 87, No. 14.  July 14, 1980.

19.  Chemical Engineering Plant Cost Index.  Chemical
     Engineering.  Volume 96, No. 3.  March 1989.

20.  Producer Price Indexes Data for February 1992.
     U. S. Department of Labor.  March 1992.  p. 192.

21.  Reference 20.  p. 189.

22.  Survey of Current Business.  Volume 72, No. 5.  May
     1992.  p. S-12.

23.  Monthly Energy Review.  March 1992.  p. 105.

24.  U. S. Environmental Protection Agency.  Office of
     Environmental Engineering and Technology.  The Cost
     Digest:  Cost Summaries of Selected Environmental
     Control Technologies.  EPA-600/8-84-010.  October 1984.
     92 p.

25.  Reference 24.  pp. 64-81.

26.  Reference 24.  pp. 58-63.

27.  Vatavuk, W. M.  Estimating Costs of Air Pollution
     Control.  Lewis Publishers.  1990.

28.  Reference 27.  pp. 88-93.

29.  Reference 27.  p. 77.

30.  U. S. Environmental Protection Agency.  Inspection and
     Operating and Maintenance Guidelines for Secondary Lead
     Smelter Air Pollution Control.  Contract No.
     68-03-2924.  December 1983.  p. 52.

31.  Reference 27.  pp. 73-73.

32.  Reference 1.  Supplemental Chapter 9  (1992), p. 9-51.

33.  Telecon.  Cavender, K., Radian Corporation, with K.
     Young, Tymco Incorporated.  August 10, 1993.
                            E-38

-------
        ATTACHMENT  1

 EXAMPLE DESIGN AND COSTING
SPREADSHEETS FOR AFTERBURNERS
            E-39

-------












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-------
       ATTACHMENT 2

EXAMPLE DESIGN AND COSTING
SPREADSHEETS FOR SCRUBBERS
           E-44

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                                       E-45

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     ATTACHMENT 3

 DETAILED DERIVATIONS
OF SCRUBBER ALGORITHMS
         E-49

-------

-------
                      Scrubber Costing
Source:   The cost Digest:  Cost summaries of selected
          Environmental Control Technologies.
          EPA-600/8-84-00.  October 1984
Spray Scrubbers

     The reference has cost curves for flue gas
desulfurization (FGD) systems for total capital investment
(TCI) and annual operating cost in terms of total gas flow-
rate.  The limestone process used with industrial coal-fired
boilers appears to be the most applicable for estimating the
cost of spray scrubber systems and secondary lead smelters.

     The reference states the following design factors for
the lime/limestone process:

     •    Cost estimates are for new units;
     •    Size range of 30 x 106 - 400 x 106 Btu/hr boiler;
     •    Coal contains 3.5% sulfur and has heating value of
          11,800 Btu/lb;
     •    System designed for 90% SC>2 removal;
     •    No process redundancy except for spare pumps;
     •    No stack gas reheat;
     •    Operating capacity factor is 0.60;
     •    PM removal costs not included;
     •    Cost of fan is included;
     •    Costs include duct work for FGD unit;
     •    No gas bypass provisions;
     •    15-Year life;
     •    Midwest location;
     •    Scrubber is turbulent contact absorber (TCA)
                            E-50

-------
          Solids disposal is off-site landfill; $15/ton at
          50% solids; capital costs include clarifiers and
          filters but not landfill site preparation.
Spray Scrubbers - TCI


     From the cost curves:


               TCI                          Gas  Flow Rate
	(March 1980 Dollars)	          	(acfm)

            1,800,000                            41,000
            2,250,000                            82,000
            2,600,000                          124,000
            2,850,000                          165,000


Using linear regression:


TCI (March 1980 $) = Gas Flow Rate (acfm) x 8.454 +

1,504,247


Spray Scrubbers - Annual Operating cost
   Annual Operating Cost                    Gas Flow Rate
    (March 1980 Dollars)  	             	(acfm)

         6,600,000                              41,000
         1,040,000                              82,000
         1,440,000                             124,000
         1,800,000                             165,000
Using linear regression:


Annual Operating Cost (March 1980 $) = Gas Flow Rate  (acfm)
                                       X 9.228 + 284,564


Spray Scrubbers - 803 Correlations


     The SOg concentration in the exhaust affects the

capital and annual operating cost of a scrubber system.  The

reference provides capital and annual operating costs at

different coal sulfur contents.  From this information, an       \


                            E-51

-------
SO2 concentration in the exhaust and cost impacts  can be
determined  at  different SC>2 limits to vary the costs  in
terms of SO2 concentrations.

8O2 Concentration in Exhaust (base case)

     5.5% sulfur in coal fired to the boiler is the base
case.  The  803 concentration in the exhaust is calculated as
follows:

Select firing  rate and exhaust flow:

     •    200  x 106 Btu/hr firing rate; and
     •    82,000 acfm exhaust flow.

Total Amount of SC>2 produced per year:


  200 x 10* Btu v    Ib coal  v  3.5 Ib S   „  Ib-mol S „ 1 lb-mol SO2  8760 hr
  —i — • . i i . i. — -i  i A   ii .. i.i •. iii •. ii—• i X  - — - _- __— -•   X ...-- _ _ -- ...- 	  X	_—	- .. _- - _ 	 X -	— _-
      hr        11,800 Btu   100 Ib coal  32.06 Ib S    1 lb-mol S     yr
= 162,090  lb-mol  S02/yr

Total Exhaust Flow:
     •    Assumed  exhaust temperature = 25 °C at scrubber
          inlet; and
     •    Molar volume  at 25 °C = 359.05 ft3/lb-mol.

 molar volume @ 25° C = 359.05 X  273 + 25 = 391.93 ft3/lb-mol
                                    <& / J
          82,000 ft3  x   lb-mol   x 60 min x 8760 hr
                       391.93 ft3     hr        yr
= 109,966,576 lb-mol  total  exhaust/yr

                             E-52

-------
SQ2_J3oncentration in Exhaust (base easel

        162,090 Ib-mol SO,/yr       i x io6
     109,966, 576 Ib-mol total/yr X ^^ ' 1474 Ppmv SO=



Spray Scrubbers - Multiplier Factors
          1474 ppmv S(>2 corresponds to a coal sulfur content
          of 3.5%.

          The reference indicates that a coal sulfur content
          of 0.6 percent would decrease the TCI by 15.3% and
          would decrease the annual operating cost by 33.0%.
Correlations between sulfur content and multiplier factors:
                   SO2                      Multiplier
 Coal Sulfur  Concentration   Multiplier    Factor for
   Content      in Exhaust    Factor for      Annual
                  (ppmv)          TCI         Operating

0.6
3.5

253
1474

0.847
1.0
Cost
0.67
1.0
Using linear regression:
TCI Multiplier factor = 0.0001253 x SO2 concentration  (ppmv)
                        + 0.815

Annual operation multiplier factor = 0.0002703 x SO2
                                     concentration  (ppmv)
                                     + 0.602
Tray Scrubbers


     Sodium alkali scrubber systems used to control SO2 from

individual boilers appear to be applicable for estimating

the cost of tray scrubbers at secondary lead smelters.
                            E-53

-------
     The design factors are the same as for spray  scrubbers
except:


     •    The scrubber is a tray tower type;
     •    Waste liquor disposal is included; and
     •    Sodium alkali is soda ash.


Tray Scrubbers - TCI


For the cost curves:
               TCI                         Gas Flow Rate
       (March  1980  dollars)                     facfm)

            1,260,000                          41,000
            1,575,000                          82,000
            1,820,000                         124,000
            1,995,000                         165,000

Using linear regression:
TCI  (March 1980 dollars) = Gas Flow Rate  (acfm)
                           X 5.918 + 1,052,973
Tray Scrubbers - Annual Operating Cost
      Annual Operating Cost                Gas Flow Rate
       fMarch  1980 dollars)                     facfm)

              594,000                           41,000
              936,000                           82,000
            1,296,000                         124,000
            1,620,000                         165,000
Using linear regression:
Annual Operating Cost (March 1980 dollars) = Gas Flow Rate
                                              (acfm) x 8.305
                                             + 256,107
                            E-54

-------
Trav Scrubbers - Multiplier Factor
          1474 ppmv SO2 corresponds to a coal sulfur content
          of 3.5%

          The reference indicates that a coal sulfur content
          of 0.6 percent would decrease the TCI by 16.1% and
          would decrease the annual operating cost by 41.2%.
Correlations between sulfur content and multiplier factors:
                   SC>2                        Multiplier
              Concentration    Multiplier     Factor for
 Coal Sulfur    in Exhaust    Factor for        Annual
 Content (%1      fppmv)           TCI	   Operating Cost

     0.6            253          0.839          0.588
     3.5           1474          1.0            1.0


Using linear regression:


TCI multiplier factor = 0.0001319 x SO2 concentration (ppmv)
                        + 0.806

Annual Operating multiplier factor = 0.0003374 x SO2
                                     concentration (ppmv)
                                     + 0.503
Venturi Scrubbers
          Costs based on carbon steel scrubber with
          clarifier for wastewater treatment and solids
          removal.

          For stainless steel construction, increase capital
          costs by 134 percent and increase annual operating
          costs by 24 percent.
TCI
     The reference provides graphs with cost correlations
for TCI in terms of gas flow rate.
                            E-55

-------
               TCI                        Gas  Flow Rate
       (March  1980 dollars!                     facfnn

             110,000                           10,000
             190,000                           20,000
             250,000                           30,000
             300,000                           40,000
             350,000                           50,000
             400,000                           60,000
             450,000                           70,000
             500,000                           80,000
             550,000                           90,000
             600,000                         100,000


Using linear regression:
TCI (March 1980 dollars) = Gas Flow Rate  (acfm) x 5.261
                           + 80,667
Venturi Scrubbers - Annual Operating Costs


     The reference provides annual operating cost curves for
low energy (10 inches H2O pressure drop), medium energy  (20
inches H2O pressure drop), and high energy  (40 inches H2O
pressure drop) systems.


From the cost curves:


Low energy systems (10 inches H2O pressure drop; 95 percent
efficiency)
     Annual Operating Costs                Gas  Flow Rate
       (March  1980 dollars!                     facfnn

              40,000                          10,000
              63,000                          20,000
              79,000                          30,000
              92,000                          40,000
             110,000                          50,000
             120,000                          60,000
             130,000                          70,000
             140,000                          80,000
             150,000                          90,000
             160,000                         100,000
                            E-56

-------
Using linear regression:
Annual Operating Cost (March 1980 dollars)
   Gas Flow Rate
   (acfm)  x 1.284
   + 37,800
From the cost curves:
Medium Energy Systems (20 inches H2<3 pressure drop;
99 percent efficiency)
     Annual Operating Costs
       (March 1980 dollars)

              50,000
              78,000
              92,000
             120,000
             140,000
             155,000
             180,000
             190,000
             200,000
             210,000

Using linear regression:
Gas Flow Rate
    (acfm)

    10,000
    20,000
    30,000
    40,000
    50,000
    60,000
    70,000
    80,000
    90,000
   100,000
Annual Operating Cost/March 1980 dollars)
  Gas Flow Rate
  (acfm)  x 1.805
  + 42,200
                            E-57

-------
From the Cost curves:


High Energy Systems  (40 inches H^O pressure drop;
99.9 percent efficiency
     Annual Operating Costs
       (March  1980 dollars)

              60,000
              90,000
             120,000
             160,000
             190,000
             200,000
             240,000
             260,000
             290,000
             300,000

Using linear regression:
Gas Flow Rate
    (acfm)

    10,000
    20,000
    30,000
    40,000
    50,000
    60,000
    70,000
    80,000
    90,000
   100,000
Annual Operating Cost (March 1980 dollars) = Gas Flow Rate
                                             (acfm) x 2.733
                                             + 40,667
                            E-58

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-------
TECHNICAL REPORT DATA
(Please read Instructions on the reverse before completing)
1. REPORT NO.
EPA-452/R-94-024b
2.
4. TITLE AND SUBTITLE
Secondary Lead Smelting - Background Inforr
Document for Proposed Standards - Volume 2
Appendices
7. AUTHOR(S)
3. RECIPIENT'S ACCESSION NO
5. REPORT DATE
nation -June 1994

_ 6. PERFORMING ORGANIZATION CODE
8. PERFORMING ORGANIZATION REPORT NO
9. PERFORMING ORGANIZATION NAME ANO ADDRESS
Emission Standards Division (MD-13)
Office of Air Quality Planning and Standarc
U. S. Environmental Protection Agency
Research Triangle Park, North Carolina 27"
12. SPONSORING AGENCY NAME AND ADDRESS
Director
1C. PROGRAM ELEMENT NO
Is 11. CONTRACT/GRANT NO
Ju 68-D1-0117
13. TYPE OF REPORT AND PERIOD COVERED
Final
Office of Air Quality Planning and Standards 14. SPONSORING AGENCY CODE
U. S. Environmental Protection Agency
Research Triangle Park, North Carolina
15. SUPPLEMENTARY NOTES
16. ABSTRACT
Under the authority of the 1990 Clean Air Act Amendments, a national
emission standard for hazardous air pollutants (NESHAP) is proposed to control
emissions from secondary lead smelters. This document contains the appendices
for the background information on hazardous air pollutant emissions (HAP) from
secondary lead smelters contained in EPA-450/R-94-024a.
17.
KEY WORDS AND DOCUMENT ANALYSIS
a. DESCRIPTORS
Air Pollution
Secondary Lead Smelters
Hazardous Air Pollutants
NESHAP
18. DISTRIBUTION STATEMENT
Release Unlimited
b. IDENTIFIERS/OPEN ENDED TERMS
Hazardous Air Pollutants
Secondary Lead Smelters
19. SECURITY CLASS /This Report/
Unclassified
20. SECURITY CLASS / This page)
Unclassified
c. COSATI Field/Group

21 NO. OF PAGES
322
22 PRICE
EPA Form 2220-1 (R«v. 4-77)    PREVIOUS EDITION is OBSOLETE

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-------