-------
LIST OF FIGURES - continued
Figure Page
4-33 NO Mass Emissions Frequency Distribution for Total
Vehicle Population 4-51
5-1 Statistical Significance of Partitioning Vehicle Popu-
lation by Engine Displacement for Idle Emission Testing . 5-21
5-2 Statistical Significance of Partitioning Vehicle Popu-
lation by Engine Displacement for CVS Mass Emission
Testing 5-22
9-1 Predicted Emission Reduction Effectiveness for Pre-1968
Vehicle with Retrofit 9-6
-------
1.0 SUMMARY AND CONCLUSIONS
This document provides a quantitative assessment of the results of the
High Altitude Emission Test Program. The primary objectives of this pro-
gram were twofold. First, to determine the impact of a series of
experimental procedures on vehicular exhaust emissions, and second,
to identify those specific procedures that could prove cost effective
in reducing vehicular emissions for the Denver area. The basic experiments
performed during the course of the test program are listed below:
9 Idle Inspection and Maintenance
e Mandatory Engine Maintenance
• High Altitude Engine Adjustment
• Sea Level Retrofit
e High Altitude Retrofit
e Engine Deterioration
Embodied within this list are a large number of subexperiments which
were conducted as part of the overall research design. The analysis
presented herein focuses attention on those emission reduction pro-
cedures that tend to be most cost-effective. The resultant control
measures are then evaluated in light of the proposed Colorado Trans-
portation Control Plan.
The significant conclusions and recommendations that have emerged
from the study are given in the following:
Idle Inspection and Maintenance
e The vehicle survey showed that idle CO, timing, air
cleaner and ignition misfire are most in need of
repair. The inspection and repair of these engine
parameters should be included as part of the inspection/
maintenance program.
-------
• An annual idle inspection and maintenance program, con-
sisting of the measurement of idle HC and idle CO followed,
as necessary, by corrective maintenance, appears marginally
attractive as a control measure (6.6% reduction for HC,
4.6% reduction for CO and 0% for NO ). These estimates
include the effects of engine deterioration per the EPA
schedule. On a semi-annual basis the estimated emission
reduction effectiveness is 9.9% for HC, 6.9% for CO and
0% for NOx.
• An annual program of inspection and maintenance appears
to be most cost effective. The final determination on
the frequency of inspection should be based on the results
from the deterioration program.
o The costs associated with the idle program ($4.05 for
the inspection and $10.35 for maintenance) are well
within an acceptable range as revealed by a recent
survey of the motoring public.
o The two areas of greatest uncertainty in the program
involve the accuracy of the inspection process and the
effectiveness of engine repair. An increase in service
organization effectiveness could lead to significant
improvements in emission reductions.
9 Results from the experimental program indicate that a
state owned and operated inspection system may be
more effective than the corresponding licensed garage
approach.
• A minimum inspection program could form the basis for
insuring the operatabi1ity of advanced emission control
systems on post 1975 vehicles.
a An independent emissions surveillance system should be
developed as part of the inspection program. This
system would provide a feedback mechanism for measuring
the actual performance of the inspection and maintenance
program. The sample selected for this program should be
representative of the inuse vehicle population.
Mandatory Engine Maintenance
« A mandatory engine maintenance program does not appear
very cost-effective particularly in view of the high
cost of engine tune-ups (average cost of $49.10) and
the relatively low emission reduction performance (9.6%
for HC, 4.9% for CO, and 3.5% for N0V).
High Altitude Engine Adjustments
9 The adjustment of idle CO and timing were found to have
the largest influence on CO emission levels. (Statistically
significant at the 99% confidence level).
-------
e The adjustment of vacuum choke kick was found to have
a modest impact on CO emissions (statistically signifi-
cant at 90% confidence). The adjustment of rpm had
little effect on CO emissions (less than a 50% level of
confidence).
« None of the four adjustment parameters were found to
have a significant impact on either HC or NO emissions
(less than a 60% level of confidence in all cases).
a A program designed to adjust idle CO and timing for all
older vehicles in the population could yield significant
emission reductions at reasonable costs.
Sea Level Retrofit
e A combination of air bleed (AIR) and exhaust gas recir-
culation (EGR) retrofit systems for pre-control
vehicles yielded the greastest balanced emission
reductions for HC and CO (221 and 21%, respectively).
Similarly, a combination of vacuum spark advance dis-
connect and air bleed produced the greatest NO
emission reductions (47%).
e An AIR/EGR system for pre-control1ed vehicles would
yield a population weighted reduction of 3.3% for HC
and 6.1% for CO by 1977.
o The average installation cost for the AIR/EGR system was
approximately $37.00. It was found to have a negilible
effect on gasoline mileage.
e An oxidizing catalytic retrofit system for controlled
vehicles provided the largest emission reductions for
HC and CO (72% and 84%, respectively). The AIR/EGR
system yielded average emission reductions of 17% for
HC and 48% for CO. The impact of these systems on
gasoline mileage was insignificant.
o The high costs associated with the catalytic system
tends to preclude its application for the general
vehicle population. Consideration should be given,
however, to a catalytic retrofit program for fleet
vehicles.
e The AIR/EGR system appears more cost effective and
should be considered as a benchmark for comparing
other retrofit systems for controlled vehicles.
Additional experimental testing of the AIR/EGR is
necessary, however, because of the very small sample
sizes used in the present test plan (the average
number of vehicles tested was five (5)).
-------
High Altitude Retrofit
o The results from the high altitude retrofit experiments
revealed no statistically significant emission reductions
for either HC or CO. The one exception involved a subset
of cars belonging to the Chrysler family (Dodges). In
this one case the emission reductions for, HC and CO (26%
and 54%, respectively) were statistically significant.
o The installation of these systems had an adverse effect
of NO emissions, ranging from an increase of 16% for
Fords to an increase of 84% for Chryslers.
o A high altitude retrofit program does not appear as a
viable alternative because of the lower emission re-
duction potential for HC and CO and relative high costs
of installation.
Engine Deterioration
o Engine deterioration could have a significant impact
on the overall performance of each of the control
strategies studied (especially the idle inspection
program). The results from the ongoing deterioration
program should be considered before finalizing the
vehicular emission control plan for Denver.
Transportation Control Plan
0 The estimates used in the Colorado Transportation
Control Plan appear somewhat more optimistic than
those developed from the experimental test program
(particularly for the high altitude retrofit program).
o The application of the experimental data to the
existing Transportation Control Plan indicates
a 10% to 20% reduction in effectiveness for HC
and CO control, respectively.
• It appears, based on these findings, that additional
transportation controls may be necessary to meet the
minimum air quality standards. Additional emission
reductions for the vehicle population could be
achieved from one or more of the alternatives outlined
above.
0 The use of an AIR/EGR system instead of the high altitude
kit for 1968-1974 controlled vehicles could help achieve
the reductions required to meet the national standards in
the Denver AQCR.
• It is recommended that the existing Colorado Transportation
Control Plan be reviewed and updated in light of the evidence
gained from the experimental test program.
-------
2.0 INTRODUCTION
This report presents a detailed analysis on the results from the
experimental test program. The primary objective of this program was
to characterize the effectiveness and costs of several vehicular
emission control alternatives. The data and information derived from
these experiments is intended to hc.11 [j shape the final form of the
Colorado Transportation Control Plan. Particular program objectives
were the following:
9 Develop an emissions inventory baseline for vehicles
operating within the Denver AQCR
o Identify the most promising control alternatives for
additional testing and evaluation
o Evaluate the impact of the measured results on the
proposed transportation control plan.
The original transportation control plan, submitted by the State
to the EPA on May 1973, called for a three phase approach for controlling
emissions from light-duty vehicles. The data used in estimating the
effectiveness of the proposed plan was based on extrapolated performance
estimates developed at sea level. Recent evidence has indicated that
vehicles operating at high altitude (above 4000 feet) have substantially
different emission characteristics than vehicles operating at lower
altitudes. The EPA has acknowledged this fact and lias proposed rules
for developing certification procedures of new vehicles intended
for initial sale at high altitude.* This emphasis on the impact of
altitude on vehicular emissions has helped identify the need for a
Federal Register, Vol. 38, No. 197 (October 12, 1973).
-------
high altitude vehicular emissions data base.
The specific experiments performed as part of the current program
were designed to accomplish the following:
Engine and Emission States Survey
A survey was performed to ascertain the extent and fre-
quency of engine malfunctions and maladjustments occurring
in the vehicle population. The survey also included the
measurement of key mode and CVS emission levels. This
data served as a baseline for contrasting the effectiveness
of the various control alternatives, e.g. sea level retrofit.
The survey consisted of 300 vehicles which are representative
of the vehicle population distribution within the AQCR.
Results from the survey helped identify those particular
engine parameters that are cost-effective to repair.
/
Idle Inspection and Maintenance Program
This experimental program was designed to evaluate the
costs and effectiveness of a service garage administered
idle inspection and maintenance program. The program
consisted of inspecting the emission levels (HC and CO)
at idle and performing specific engine adjustments (air
fuel, rpm, timing) on those vehicles failing the inspection.
Additional engine repair was undertaken, as necessary, to
achieve the pre-established emission criterion. Again, a
fleet of 300 vehicles was used in measuring the effective-
ness of this program. Cost data were recorded on the
various phases of the inspection and maintenance process.
Mandatory Engine Maintenance Program
A program of mandatory engine maintenance involves the
periodic repair or replacement of specific emission
oriented engine components, e.g. air cleaner. Such an
approach avoids many of the problems associated with
inspection by concentrating exclusively on effective
engine repair. A mandatory program was simulated experi-
mentally by tuning up approximately 150 vehicles. Mass
emission measurements were performed both prior and
after maintenance. The costs associated with mandatory
repair were also collected and have been included in the
analysis.
Idle Engine Adjustment Program
An experimentally designed program was undertaken to
determine the influence of selected engine adjustments
on exhaust emissions. Four specific engine adjustments
were evaluated -- air/fuel ratio, rpm, basic timing and
-------
vacuum choke kick. These four adjustments were identified
as being inexpensive and easy to modify. The experiments
were performed using 25 cars which were chosen to represent
the vehicle population.
Sea Level and High Altitude Retrofit Program
A series of tests were undertaken to measure the relative
effectiveness of a number of leading retrofit systems. The
systems were partitioned in three categories: 1) sea level
systems for pre-1968 vehicles, 2) sea level systems for
1968-1974 vehicles, and 3) high altitude kits for 1968-1974
vehicles. Specific devices tested included air bleed,
exhaust gas recirculation, vacuum spark advance disconnect,
catalytic converter and various combinations of the above.
Additionally, the four major automobile manufacturers pro-
vided high altitude kits. The sample size for these
experiments range from 3 to 48. Cost data for each system
was also collected and evaluated.
The data developed from each of these experiments was processed using
TRW's Data Management System. The process results have been merged
into a single internally consistent data base. An analysis of these
results indicates that the assumed performance values used in the
proposed Transportation Control Plan are optimistic and; therefore,
additional vehicular control may be necessary. These results under-
score the impact of altitude on vehicular emissions.
The preceeding section (Section 1.0) has provided a summary of
the conclusions and recommendations synthesized from the study. This
section (Section 2.0) focuses on the background of the test program
and presents a summary of the basic experimental programs. Section 3.0
discusses the methods of analysis used in the evaluation including an
overview on TRW's Data Management System and statistical regression
methodologies. Section 4.0 summarizes the results from the vehicle
engine and emission survey. These results include frequency histogram
plots of the major variables that were measured. A detailed analysis
-------
of the idle inspection program is provided in Section 5.0. This
analysis examines the implications of inspection accuracy and main-
tenance effectiveness on the viability of this control approach.
Section 6.0 presents an evaluation of the cost effectiveness of
mandatory engine maintenance. In Section 7.0, the effects of idle
engine adjustments on exhaust emissions are studied and a set of
response influence coefficients are developed. Section 8.0 discusses
the effectiveness of both sea level and high altitude retrofit systems
as a means for reducing exhaust emissions from the inuse vehicle fleet.
Finally, in Section 9.0 the impact of the experimental test results
are evaluated with respect to the proposed transportation control plan.
Specific analyses are presented on the actual effectiveness of retro-
fitting the pre-controlled segment of the vehicle population.
-------
3.0 METHODS OF ANALYSIS
The principal reason for utilizing computer technology in this
effort was the need to process very large amounts of data and to perform
complex operations on this data.
With the use of computerized processing methods the data
generated by the numerous testing activities of this program could
be accessed and sorted, and concise and illuminating results prepared
rapidly and accurately.
Presented in this section are the data management and statistical
analysis techniques used in handling and developing trends from the
data base.
3.1 DATA MANAGEMENT
The nature and extent of the experimental test program required the
application of a total data management system. This section presents
a detailed description of the system utilized in support of the program.
The data management system, developed as part of the Coordinating Research
Council CAPE-13 Project, provides comprehensive capability for evaluating
multidimensional emission test.programs.
Figure 3-1 presents a schematic overview of the TRW Data Management
System as related to the current emission test program. This schematic
shows the division of work between TRW and ATL with respect to the
development and analysis of the basic data. ATL was responsible for
reducing the CVS mass emission data and preparing the raw data files
for the inspection, maintenance, and retrofit and adjustment experiments.
TRW performed the following basic data management activities:
-------
Table 3-1
Data Management Approach
-------
o edit test data
o sort test data
s store test data
e develop yraphic presentations
o retrieve test data
® statistical analysis
e compute basic statistics
These activities are also depicted in Figure 3-1. A brief description of
of each of these data management functions is presented in the subsequent
paragraphs.
Data Editing
A multi-purpose editing program (EDIT) was utilized to reduce potential
transportation and procedural errors between the test site (Denver)
and TRW's computing facilities (Space Park). Data listings obtained from
from the raw keypunch cards were analyzed and corrected using the remote
TRW timeshare system. This procedures allows review by botli the
testing engineers and data management specialists. The program EDIT was
utilized not only in examining specific data point entries , but also in
updating parameter values on the file record. This latter capability
was important as refinements to the raw data were implemented.
Data Storage
The total data has been stored on a permanent magnetic tape. This
approach serves two purposes: 1) provide a back-up for all of the data
developed during the experimental testing, and 2) permit a more cost
effective method of handling the data during the collection and editing
phase. A copy of the magnetic tape will be made available to the State
of Colorado and the EPA upon request. A working file will also be
maintained on the CDC 6500 disk pack for future analysis.
Graphic Presentation
A major part of the data analysis activity is to summarize
-------
information in the form of histograms. Two programs are used to perform
the retrieval and plotting functions. CETP is used to retrieve data
records for the requested plots, sort the data and write a data input
file for the plotting routine. HISTM provides histogram frequency
plots of the data. The plots are drawn by a Cal Comp plotter from a
tape written by HISTM.
Retrieving and Sorting Test Data
The principle data handling program in the data management system
(CETP-- Colorado Emission Test Program) serves as the basic
interface between the data base and the other software. This program
retrieves the selected data from disk storage and sorts it by a number
of classification systems. The data can be culled in the following ways:
• the total population • sort by weight group
e sort by manufacturer o sort by age group
t sort by make within a a sort by PASS/FAIL at idle
particular manufacturer inspection
• sort by engine size group
Additionally the data can also be sorted by:
o CVS
• key modes
t engine parameters
• costs
• vehicle characteristics , e.g. vehicle weight.
Basic Statistics
The program CETP also computes certain simple but essential
properties of the data including: standard deviations, t-values,
and degrees of freedom. This information provides a quick look capability for
-------
analyzing the raw data in addition to the more involved techniques
discussed in the next section.
3.2 STATISTICAL ANALYSIS
Several independent statistical packages were used in processing
the data relevant to this study.
A major computer program, one developed specifically for the Idle
Adjustment Program, is designated ANOV. It performs an analysis of
variance for an experimental design. In order to test the effects on
emissions produced by adjusting the settings of four engine parameters
and their interactions it was necessary to make several simplifying
assumptions. These are:
9 Choke kick has no second-order interactions with
idle CO, RPM and timing.
o Third and fourth order interactions are negligible.
e Parameter settings and emission levels are distributed
normally in the general population.
From these assumptions, a one-half fractional factorial experiment
involving only eight (8) tests per vehicle could be designed. Each
vehicle is subjected to all eight settings in random order and the
emissions at each setting are measured.
The ANOV program using this data, estimates two basic factors.
First, the variance of the emission levels between settings indicates
how much effect the different settings have on emission levels and,
second, the variance between vehicles within each setting provides a
standard of normalization for determining the net real effect. The
ratio of these two factors is compared to a critical "F-value". If the
"F-score" exceeds the F-value the effect is said to be statistically
significant, i.e. the effect produced by changing that setting is significant.
-------
Another kind of analysis of variance was also used. This one
(called Wilson's ANOVA) is a TRW system routine. It computes a confidence
level and probability that indicates whether or not a population divided
into several groups yields statistically different emissions.That is, the
resultant partition provides .1 measure of potential differences. This pro-
gram was used in determi tn rig I.tie mer'il. of separating t.he vehicle
copulation into sub-di vi s 1 oir> for key mode emission analysis. 'I he
results of this analysis are -j i von in sec t i on 1j . 0 .
Ttie third major statistical package was a program designed to
perform three main types of regression analysis; ordinary least squares,
two-stage least squares, and limited information single equation
analysis. Regression equations were derived with this program for the
high altitude experimental program ( see Volume III).
The major data handling program CLTP also computes such minor
statistics as means, standard deviations and t-scorcs. The t-scores
in turn are used to determine the significance of the given means and
standard deviations.
-------
4.0 SURVEY OF ENGINE AND EMISSION STATES
This section presents a survey on the existing state of engine
repair and emission levels for vehicles operating mi the Denver area.
The survey provides detailed diagnostic information on the extent of the engine
maladjustment and malfunction and on the corresponding emission levels
for HC, CO and NO . This information is of crucial importance in
establishing a benchmark for comparing the relative effectiveness of
alternative vehicular control strategies. Specifically, the survey
included the engine and emission parameters shown in Table 4-1.
4.1 ENGINE PARAMETER SURVEY
The surveyed engine parameters have been classified into three
sets to reflect diflerences in engine maladjustments and malfunctions:
1) Idle adjustments (idle fuel to air ratio, idle speed,
basi r. timing , and dwel 1) .
2) Ignition components affecting misfire or spark advance
(NO con trol ).
3) Induction system components affecting fuel to air ratio.
Table 4-2 shows the results of the survey partitioned by vehicle con-
trol type. The engine parameters are separated into two basic
categories -- distributed and nondistributed. Distributed parameters
are those of a continuous nature whereas nondistributed parameters
are either operating or failed. For example, the survey found 88
percent of all PCV values operating in the total population.
One interesting observation from this data is the relatively high
degree of incipient misfire found in the population. On the average
14 percent of the vehicles surveyed were found misfiring which is
-------
Table 4-1
SUMMARY OF ENGINE PARAMETERS AND
EMISSION SPECIES SURVEYED
Engine Parameters
Idle Subsystem Ignition Subsystem
o Idle Fuel/Air Ratio o Misfire
• Idle RPM o NO Control
/\
o Basic Timing
e Dwel1
Emission Species
Key Mode
Idle HC
Idle CO
Idle NO
x
HC @ 2500 RPM
CO @ 2500 RPM
HC @ Low Cruise
CO @ Low Cruise
NO @ Low Cruise
x
HC @ High Cruise
CO @ High Cruise
NO @ High Cruise
x
CVS-1975
HC Mass
CO Mass
NO Mass
X
Induction Subsystem
0 PCV Valve
8 Air Cleaner
s Air Pump
e Choke
-------
approximately four times larger than detected at sea level.* Since
misfire has a large effect on hydrocarbons, the incorporation of an
ignition tune-up as part of the inspection program may yield effective
results.
The results for basic timing are among the more interesting of
the distributed parameters in that the mean recorded value is near
manufacture specification and yet there is a large variance around the
mean value. This would tend to indicate that the adjustment of timing
to specification for a segment of tne population could produce significant
emission reduction results.
Tables 4-3 through 4-6 shows similar results with the data
partitioned by vehicle manufacturer, engine displacement and vehicle
weight, respectively. The variability in engine states revealed by
these different classification schemes indicates that these factors
must be taken into consideration as part of any inspection and maintenance
program.
Another perspective on the variability of engine states can be
gained from reviewing the histograms for the continuous parameters
shown in Figures 4-1 through 4-8. Figure 4-1 shows the relative dis-
tribution of idle CO for pre-controlled vehicles, i.e., pre 1968.
These results show a rather flat response between 2.4% and 9.6% with a
rapid drop off beyond this limit. The slight increase at 12%
reflects an accumulation for these recorded values beyond that point.
A similar trend is also shown for the control vehicles, i.e., post 1967.
* TRW, Inc., A Study of Mandatory Engine Maintenance for Reducing Vehicle
Exhaust Emissions, Vol. 4., July 1973.
-------
Table 4-2
SURVEY OF ENGINE STATES BY MODEL YEAR
DISTRIBUTED PARAMETERS
.p-
i
¦f*
PARAMETER
~TbLE"CO"(% Vol)"
IDLE RPj (RPM)
TIMING (DEG)
DWELL
SAMPLE SIZE!
(<195?>
MEAN SJ
5.533 2.75?
3 5.391 13 2. H27
-.300 -3 .JC9
-.7-91 ^ . 3 3 C
(110)
(1968*)
MEAN S D
<~.325 2.639
-11.195 130.^63
. 9 «<+ <+. 7 •?
- . 0 <~ 7 4 . j 9 •}
(19C)
AVERAGE
MEAN SD
4.767 2.737
5.887 132.737
0.513 6.230
-0.320 4.082
(300)
MONDISTRIBUTED PARAMETERS
(PERCENT)
Y'ES NO- " >ES MO YES NO
PCV 57 13 8 ^ 11 88 12
_SAMPL£ !IZJLi _ _ _ (91) (16 8) (259)
AIR CLNsT" """ ~ oK " i,6 63 37 59 41
SAMPLE SIZE! (110) (190) (300)
CHOKE l_ 100 G 97 3
SAMPLE SIZE: " (13 3) " ( 1 39) (297)
AIR PUMP 10 0 0 10G 0 100 0
SAMPLE SIZE: ( 1) ( 1^> (15)
MISFIRE " "" "" ' 18 " 3 2 " "" 19 81 19 81
SAMPLE SIZE*. (110) ( 1 9u ) (300)
NOX 0 0 8 0 2C 80 20
-------
PARAMETER
• IDLE CO (% Vol )
fQLE'S'PH (RPM)
TIMING (DEG)
DWELL
sample size?
PCV
SAMPLE size:
AIR~ CLN?
SAMPLE SIZE:
CHOKE
SAMPLE SIZE:
AIR PUM°
SAMPLE SIZE:
MISFIRE
SAMPLE size:
NOX
SAMPLE SIZE:
Table 4-3
SURVEY OF ENGINE STATES BY VEHICLE MANUFACTURER
DISTRIBUTED PARAMETERS
.U3 2.464
41 . 420 147. 8 7b
2 . 700 4. 3 15
-.640 4. 2 '~ 6
( 60)
( A MC )
MEAN SD
5.03 3 3 . 3 ?3
¦ 3 2 . 0 0 C 9 9.532
-.101 4 . 55 7
-.203 3.521
( 10 )
(FOREIGN)
MEAN SD
4.376 2.557
-1.515 198.165
1 .576 b.5 91
-1.727 5.611
( 3 3)
YE S
8 3
5 3
I
9 7
10 0
1 7
6 9
(120 )
(128 )
(128 )
( 10)
(128 )
NO
13
i*7
3
0
8 3
3 1
NONOISTRIB'JTEO PARAMETERS
(PERCENT)
YES
87
( 75)
( 79)
99
( 78)
10C
( 2)
( 73)
18
VO
13
33
1
0
SO
13
YES
96
50
94
100
16
ia j
( 49)
( 50 )
( 49)
( 3)
( 5 0)
NO
4
j
3'.
I
YrS
73
80
IOC
G
it]
IOC
( 13)
3)
( 6)
9 )
10 )
10 >
C )
1 0 )
11
NO
2?
? 1
7u
Y c S
3 3
35
103
0
24
s n
5 )
J 3 )
32 )
C>
33)
2)
NO
17
15
0
0
7 6
-------
HOOF
inLc no {% Vol)
TDLF RPM(RPM)
TIMTsr, (DEG)
DWELL
SflMPlr STZF:
"CV
SAMPLC
^IZEl
AIR CLNR
SAMPLE
SIZF!
CHOKF.
S A MPLr
^ I ZE!
A T? °UHP
S0M°LE
SI7FS
MTS^I^F
S A MDL E
SI7F :
NOX
?AMPLr
SI7FI
Table 4-4
SURVEY OF ENGINE STATES BY ENGINE DISPLACEMENT
DISTRIBUTED PARAMETERS
( <1C3)
MFAN
(100-199)
MF AN SO
¦5.
'.71'
k. ^23
3.17=;
182.997 -21.800 17?. 009
l.i»6H 6. 8
b.uza
( ?U)
.6*0 *.121
•1.2«f0 3.U79
( ?5)
(700-299)
M-flN SO
•5.23? 2.co2
21. 3 S 2 13l». 85U
-.I**7 6.967
-.70 6 3.6<*1
f 68 )
(300-399)
MF AN "O
<~.6*0 2.67^
9.363 116.?U i*
.36") 6.r N T )
YFS NO YES NO YFS MO YES NO YFS " ~ NO'
67 37 101 3 *«~ 16 99 11 91 9
( 3) ( 16) ( 61) (133) ( <~ 6)
8° 13 M "5? 61 t»9 r> 9 !fl 63 37
( 2«t) ( ?5> ( 6 73 IB T2 2T H 2
( ?L) ( ?5) ( 6«) (137) ( ^6)
P 100 100 " 10 ~i ^
-------
Table 4-5
SURVEY OF ENGINE STATES BY VEHICLE WEIGHT
DISTRIBUTED PARAMETERS
ldOO-2799
PARAMETER
IDLE CO (% Vol )
ni_£ 3PM (RPM)
"Timing (deg)
dwell
S^HPLC' S 17 E:
MEAN
k • 3 36
SO
2.793
- 3 . U 7 3 17 6. 779
.571+ 5.918
— 1 • 3 tJ 5.156
( t»6 )
210 0-37 99
1E4N
<~ . 778
sn
2.631
>. 3 5 (+ 132.3 69
.39^ 5.675
-.737 "3.522
(127)
3800-^799
MEAN SO
<+. 16 7 2. lol
1. 0 3 6 1GQ. 339
«(+6i+ 7.2^3
.'+ 6 <+ 3.136
(112)
t,8Q -:-57 99
SO
MEAN
3 . 6 U /
2. 5^6
-3U.be7 1^1.503
l.^OU 3.066
.13"? 5.203
( 15)
PCV
AIR CLN*
CHOKE
AIR PUMP
MISFIRE
NO X
sample size:
SAMPLE SIZF!
SIMPLE 3 IZr:
"sample "size:
SAMPLE SIZE:
SAMPLE SI7
-------
PARAMETER. SURVEY IDLE CO (< 1968 J
o
CvJ
o~
<£>
o"
-F*
I
CO
CM
>- •-
z
UJ
ZD
a
LU
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The results for idle speed (Figures 4-3 and 4-4), basic timing
(Figures 4-5 and 4-6) and dwell (Figures 4-7 and 4-8), show somewhat
different results. For the most part, each of these parameters are
distributed around specification each exhibiting a rather large
variability. The plots for these variables tend to resemble a Gaussian
or normal distribution which has been found typical in other studies.*
4.2 KEY MODE EMISSION SURVEY
A similar series of analyses were performed for the key mode data
collected in the survey. Tables 4-6 through 4-9 show means and standard
deviations for the recorded key modes by model year, vehicle manufacture,
engine displacement and vehicle weight, respectively. This data was
recorded using the laboratory measuring equipment and can serve as a
baseline for evaluating the data recorded at the maintenance garages.
The abbreviations HC 2500 and CO 2500 represent HC and CO measurements
taken at 2500 rpm. The histogram plots were developed herein using data
taken from the Sun laboratory equipment.
Section 5.4 will provide a more definitive analysis on the need
for developing individual idle emission standards based on partitioning
the population. In summary, the analysis shows that individual standards
should be established for idle HC and idle CO by vehicle age i.e.,
pre 1968 vehicles, 1968-1970 vehicles, and post 1970 vehicles. The
analysis produced inconclusive results with respect to the other
classification schemes, e.g., engine cubic displacment.
*
TRW, Inc., A Study of Mandatory Engine Maintenance for Reducing Vehicle
Exhaust Emissions, Vol. 4., July 1973.
-------
PflRRMETEF? SURVEY IDLE RPM ( < 1 968 J
-42 .10
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DEVIATION FROM SPEC *10
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PARAMETER SURVEY DWELL (<1968)
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-------
Table 4-6
SURVEY OF KEY MODE EMISSIONS BY MODEL YEAR
Mode
HC Idle(ppm)
HC 2500 (ppm)
HC Low Cruise (ppm)
HC High Cruise(ppm)
CO Idle (%)
CO 2500 (%)
CO Low Cruise (%)
CO High Cruise (%)
N0X Idle (ppm)
N0x Low Cruise (ppm)
N0x High Cruise(ppm)
Sample Size
Pre 1968
Mean SD
925.818 506.133
556.596 572.596
667.809 354.670
621.445 360.146
6.287 2.934
5.071 2.558
4.430 2.561
5.525 3.006
65.736 56.649
1145.736 773.669
1192.591 916.762
110
Post 1968
Mean SD
612.979 451.036
318.189 491.139
512.611 266.441
491.826 292.372
4.815 2.902
2.524 3.021
2.171 1.972
2.967 2.412
97.705 191.558
1542.837 838.791
1870.237 1095.910
190
Average
Mean SD
727.687
494.754
405.453
534.037
569.517
310.391
539.353
324.395
5.355
2.995
3.458
3.10S
2.999
2.458
3.904
2.915
85.983
156.852
1396.500
836.689
1621.767
1082.845
-------
Table 4-7
SURVEY OF KEY MODE EMISSIONS BY VEHICLE MANUFACTURER
GM FORD CHRYSLER AMC FOREIGN
Mode
Mean
SD
Mean
SD
Mean
SO
Mean
SD
Mean
SD
HC Idle (ppm)
741.812
483.621
698.076
454.836
665.980
454.268
680.700
299.684
851.575
698.577
HC 2500(ppm)
420.742
573.634
436.532
579.924
378.800
518.615
426.500
426.413
305.758
247.570
HC Low Cruise(ppm)
598.648
391.254
592.468
287.475
530.780
167.424
498.300
181.002
481.848
150.093
HC High Cruise(ppm)
569.359
395.171
544.899
268.691
515.140
309.730
527.300
217.608
450.030
120.187
CO Idle (%)
5.397
3.063
4.953
2.915
5.889
2.782
6.169
4.147
5.097
2.833
CO 2500 (%)
3.490
2.780
3.135
2.830
3.457
3.241
3.085
2.750
4.222
4.585
CO Low Cruise{%)
3.295
2.671
2.395
2.000
3.293
2.551
1 .981
1.334
3.164
2 A'-/'.
CO High Cruise (%)
4.319
3.258
3.028
2.395
4.680
2.322
5.208
3.942
2.825
2.227
NOx Idle (ppm)
77.641
67.369
85.797
57.961
125.260
359.857
77.500
66.130
61.848
29.07;
N0x Low Cruise(ppm)l
192.953
726.212
1665.251
949.525
1525.740
929.850
1601.900
661.439
1284.606
638.0 Y)
N0x High Cruise(ppm)392.141
965.330
1861.139
1081.560
1241.200
811.354
1302.500
1302.186
2612.758
1139.
-------
Table 4-8
SURVEY OF KEY MODE EMISSIONS BY ENGINE DISPLACEMENT
<100
Mode
Mean
SD
100-199
Mean SD
200-299
Mean SD
300-399
Mean SD
400+
Mean SD
HC Idle(ppm)
1043.292
767.756
680.880
405.494
723.015
484.342
745.752
473.734
541.565
345.191
HC 2500(ppm)
356.875
242.051
300.400
233.871
491.618
535.231
419.387
601.791
319.022
536. Mi
HC Low Cruise(ppm)
508.208
153.038
514.160
187.199
607.485
305.610
607.453
372.934
462.478
167.679
HC High Cruise(ppm)
460.583
135.881
522.800
170.840
583.971
293.519
573.409
404.470
422.065
165.670
CO Idle (%)
5.941
2.889
5.167
3.287
5.893
2.968
5.228
2.895
4.733
3.167
CO 2500{%)
5.358
4.971
3.833
3.926
4.191
3.154
2.879
2.162
2.903
3.210
CO Low Cruise(%)
3.457
2.085
3.254
2.640
3.702
2.824
2.752
2.414
2.321
1. / A':
CO High Cruise(^)
2.827
1.703
5.153
3.592
5.342
3.045
3.534
2.798
2.767
2.070
NOx Idle(ppm)
54.417
22.587
164.640
507.042
73.603
54.207
82.949
63.731
87.093
72.21 fj
NOx Low Cruise(ppm)
1203.458
537.070
1287.080
749.247
1339.103
876.337
1493.599
910.878
1352.348
701.041
NO High Cruise
X t „\
2537.792
1005.319
1546.600
1392.380
1133.574
923.666
1664.372
1035.819
1779.478
941.161
Sample Size
24
25
68
137
-------
Table 4-9
SURVEY OF KEY MODE EMISSIONS BY VEHICLE WEIGHT
Mode
1800-
Mean
2799
SD
2800-
Mean
3799
SD
3800-
Mean
4799
SD
4800-
Mean
5799
SD
HC Idle(ppm)
846.478
651.434
686.331
420.566
764.411
506.208
439.333
280.167
HC 2500 (ppm)
368.587
393.992
365.551
455.696
495.277
671.217
185.667
125.668
HC Low Cruise (ppm)
513.739
165.022
562.654
255.461
615.304
407.217
456.800
164.105
HC High Cruise(ppm)
473.326
140.136
532.354
233.590
592.536
450.614
404.000
162.189
CO Idle (%)
5.478
2.963
5.332
2.858
5.506
3.156
4.039
2.685
CO 2500 (%)
4.435
4.568
3.139
2.700
3.548
2.858
2.489
1 .987
CO Low Cruise(%)
3.313
2.468
2.860
2.465
3.032
2.565
2.978
1 .440
CO High Cruise(%)
3.171
2.374
4.057
3.067
4.057
2.965
3.717
2.610
NO Idle (ppm)
60.043
28.749
97.724
229.559
82.920
72.061
89.000
51.586
NOx Low Cruise(ppm)1241.630
772.581
1478.835
874.562
1389.116
831.471
1229.467
704.826
NO High Cruise
2219.152
1190.991
1501.008
1013.391
1542.643
1070.079
1403.000
869.143
(ppm)
-------
Figures 4-9 through 4-30 show frequency distributions for the key
mode data for precontrolled and controlled vehicles. This information
is extremely important in developing effective exhaust emission standards.
With the exception of idle CO, these distributions tend to resemble the
standard log normal function (a distribution that is shoved to the left
with an extended tail to the right). Of particular significance is the
data recorded for cruise hydrocarbons (Figures 4-15, 4-16, 4-21 and
4-22). The bimodal distribution reveals the presence of
extremely high emitters which is normally caused by incipient misfire.
In fact, the percentage of vehicles exhibiting high hydrocarbon emission
corresponds reasonably well with that measured for vehicles with misfire.
One interesting note is that HC 2500 also tended to indicate the presence
of misfire. This ability to potentially detect misfire of 2500 rpm
clearly should be considered in the formulation of the idle inspection
program.
4.3 1975 CVS MASS EMISSIONS SURVEY
The measurement of CVS mass emissions for HC, CO and NO represented
X
the last major element of the survey program. Establishing the level of
mass emissions for the vehicle population is of critical importance for
determining actual atmospheric loadings. Tables 4-10 through 4-13
present recorded mass emissions data by model year, vehicle manufacturer,
engine cubic displacement and vehicle weight, respectively.
Estimates of CO^ emission levels are also given along with the
normal emission species (HC, CO and NO ). The substantial difference
in recorded values between precontrolled and controlled vehicles for
-------
HC and CO mass is significant and, therefore, the two subpopulations
should be treated separately.*
A set of HC, CO and NO mass emission frequency distributions for
A
the total population are given in Figures 31 through 33, respectively.
The distributions show a similar trend to those recorded for the key
mode emissions. These plots also tend to confirm the relatively small
number of high emitting vehicles. Repair of these vehicles on the
other hand will yield disproportionately larger emission
reductions due basically to their larger values. An effective program
of vehicle inspection/maintenance should be designed towards detecting
and repairing these high emitters.
~
A more detailed analysis on the statistical properties of these
measurements is given in Section 5.4.
-------
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! KEY r:.0Ci ;UflVLf idle HC (< 1 968)
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KEY MODE SURVEY IDLE CO (-
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PERCENT
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KEY MODE SURVEY LOW CR CO (1968+)
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Table 4-10
SURVEY OF CVS MASS EMISSIONS BY MODEL YEAR
MODEL YEAR
i
-to
cn
I MODE
i
_cjLJ q7J
i CO 2 1975
I
NOfX 1 975
PRE 1968
^ ti A N S O
10. I 7\ 5#/o9
i 4 S . 1 C o ^ 2.-y's 2
3 9 5. 4 9 f> 9 ? . S 1 9
2.113 1 . .31 0
196H*
MCAN S )
6 . J b 1 *~ . 71J
91.33? 44.1'+'¦
47 6.671 122.612
2 . H63 1.19 0
AVERAGE
MEAN SD
7.978 5.541
110.317 53.488
446.91 119.019
2.593 1.406
SAMPLC 3IZ-U
(113)
(11C )
-------
Table 4-11
SURVEY OF CVS MASS EMISSIONS BY VEHICLE MANUFACTURER
VEHICLE MANUFACTURER
(GK) (PO',D) (C-RY.) (ftMC) (FOREIGN)
MODE MEAN ST "It AN SD NE4N SD MEAN! SO i
HC 1975 8.316 6.'338 7.31^ 3.933 h.610 6.331 7.129 2.375 5.552 2.^31
CO" 1975 " 123.333 59. 096 95. 737
-------
Table 4-12
SURVEY OF CVS MASS EMISSIONS BY CUBIC DISPLACEMENT
CUBIC DISPLACEMENT
! K10Q) (10 0-199 > (200-299) (300-39^ («»000
! iOOE HEM sn __ME A N _ SO MF A N SD I^AN °D ME AN SO
HC 1975 6.??? ?.i»93 5,. ^ 2.962 <5.811 5.R57 R.36? 5.935 7.765 5.913
J. CO 1975 7V.308 25751+3 90.163 37.^25 118.23V «*9. 009 113.6^3 57.655 117. «*0 0 57.171
I
4^
^ C02 1975 270.196 38, 8 03. 317. UkU <*6.535 380.161 67.869 <*86.015 "^.772 591.6?8 98.399
NOX 1975 ?. ? 1H .85? 2.185 1. 081 2. 26? 1.298 2.77
-------
Table 4-13
SURVEY OF CVS MASS EMISSIONS BY VEHICLE WEIGHT
VEHICLE WEIGHT
1803-2799 21G1-3799 3*00-4793 4800-5791
fiOiJr Si MEAN SO MEAN SD MEW S'.l
HC 1975 5.791 2.355 7.571 4.194 9.484 7.3*5 6.394 3.251
CO 1975 77.861 31. 73? 103 . 62?. 4 7. 1 07 129.046 59.7*6 126.633 51 . 327
-p»
-g I C32 1975 " 296_.539 5 3.274 424.40 3 15.239 511. 462 95.765 616.513 110.73^
¦ NOX 1975 2.358 1.257 2. 437 1.249 2. 853 1.518 2.699 1.1*3
-------
MASS EMISSIONS SURVEY HC (TOTAL)
4*
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18-40 26.6U
OM/MI
34 .80
43 .00
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GO
N
MR
S3 EMISSIONS SURVEY CO (TOTAL J
CM
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Figure 4-32 CO Mass Emissions Frequency Distribution for Total Vehicle Population
145.40 204.60 263-80 323-00
-------
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MASS EMISSION SURVEY NQX (TOTAL)
4.00 6.00
on/Mi
=*-
8 .00
^
10 .00
^.00 2-00
-------
5^0 IDLE INSPECTION PROGRAM
Automotive emission control through a program of inspection and
maintenance can be accomplished by employing any one of a number of
basic alternatives. The experimental program undertaken in this study
consisted of the inspecting idle HC and idle CO emissions and determining
whether they were in conformance with the prescribed standards.
Specific pass/fail standards for both engine parameters and idle
emissions were established for pre-controlled vehicles and controlled
vehicles as shown in Table 5-1.
The engine maintenance performed on those vehicles failing the idle
emission test involved the adjustment of the idle parameters (air/fuel
ratio, speed, and timing) followed, if necessary, by additional
maintenance in order to ensure compliance with the emission standards.*
In effect, the average maintenance treatment can be classified as a
"super" idle program. The following sections present an analysis on
the effectiveness of the various phases of the idle inspection maintenance
program.
5.1 IDLE INSPECTION ACCURACY
The use of emission tests to determine the extent of engine mal-
adjustment and malfunctions is desirable from two perspectives. First,
the approach tends to have substantially lower costs than the so-called
functional tests; and, second it provides some indication of the level
of vehicular emissions. Unfortunately, an emission inspection is
* A fifty dollar maximum was assigned as an upper limit on the amount of
maintenance that could be performed. A more detailed discussion
concerning the maintenance program can be found in Volume II.
-------
Table 5-1
Idle Inspection Pass/Fail Criteria
Measurement Criteria
Pre-Control 1ed Control led
1. Idle HC 800 ppm 330 ppm
2. Idle CO 6% 4%
3. Idle RPM -80 rpm* -80 rpm*
4. Basic Timing 1.5 deg* 1.5 deg*
~
Criteria established as part of the basic experiment design, but not
-------
confounded by two basic problems:
Errors of omission - Those vehicles passing the inspection that
have engine maladjustments or malfunctions.
Errors of commission - Those vehicles failing the inspection that
are in a good state of repair.
Errors of omission tend to reduce the effectiveness of the inspection
program whereas errors of commission tend to increase program costs.
Both effects are normally detected in most applications. The experimental
program for Denver was no exception.
Tables 5-2 and 5-3 show the impact of these errors on inspection
accuracy for pre-controlled and controlled vehicles, respectively. For
illustrative purposes consider the case for idle RPM in Table 5-2 . Out
of the 110 vehicles surveyed a total of 16 were found to be outside
the pass/fail criterion established for RPM (i.e. -80 rpm). Using an
idle HC cutpoint of 800 ppm a total of 46 vehicles were rejected
(approximately 42 percent of the total) and of the amount, seven were
found with rpm settings beyond the criterion (approximately 15 percent
of the total). Thus an idle HC inspection was able to detect nearly
44 percent of the total failures in the population. It should be noted
that the percentage failure rate from the inspection (ratio of failed
vehicles to rejected vehicles) must be greater than that occurring
in the population in order for the screening process to be effective.
Otherwise a random selection of vehicles would detect more vehicle
failures than the inspection procedures. This situation occurred when
using idle CO for detecting rpm maladjustments (13.46% from screening
versus 14.55% for actual). For this example, the number of commision errors
was 39(46-7) whereas the number of omission errors was 9 (16-7).
-------
Table 5-2
ANALYSIS OF IDLE INSPECTION ACCURACY FOR PRE 1968 VEHICLES
PARAMETER
DIAGNOSTIC MODE
IDLE RPM £DEV_.2
IDLE HC
IDLE CO
TIMING(DEV.)
IOLE" HC " ~
1 OLE!
IDLE CO
TOTAL
SET CUJ POINT REJECTED FAILED FAILED AS PERCENT OF
PERCENT FAILURES
NO. PERCENT NO. PERCENT OF TOTAL DETECTED
110
<-30 RPM
. .
lb
1^.55
>303 PPM
I *»6
<*1.32
7
15.22
6.36
«».¦*. 7 5
_
>6. P.C.
52
i*7 .27
7
13.^6
6.36
1*3.75
lie
>1.5 OEG.
<»C
36.16
* 8 O O PPM
<»6
<~1.32
19
<~1.30
17 .27
<~7.50
110
>6. P.C.
50
<.5.^5
>b. P.C.
52
<~7.27
23
<~<~.2 3
20.91
-------
Table 5-3
ANALYSIS OF IDLE INSPECTION ACCURACY FOR POST 1967 VEHICLES
PARAMETER TOTAL
DIAGNOSTIC MOOE SET
CUT POINT
REJECTED
NO. PERCENT
BAILED
NO. PERCENT
BAILED A3
PERCTNT
OF TOTAL
PERCENT -Oc
FAILURES
DETECTED
IDLE ^PM taEV. )
IDLE HC
190
•30 RPH
>330 PPM
86
<~5.26
55
26
23.95
30.23
13.63
i*7. 27
IDLE CO
....
>i». P.C.
96
50 . 53
32
33.33
16 .
5 8.1?
TIMING(DEV .)
190
>1.5 DEC-.
714
38.95
IOL E HC
— - —
>330 PPM
"36
*»5.26
28
32 .56
1^.74
37.8'+
IDLE A/F(P.C.)
190
><~. P.C.
.
100
52.83
IDLE CO
>«r. P.C.
|96
5 0 .5 J
^9
51. Qi.
25.79
-------
In summary, the analysis showed that id4e HC was most effective in
detecting rpm and timing maladjustments whereas idle CO was best for
determining idle air/fuel ratio maladjustments. A serious problem
emerged in relating idle CO measurements to idle air/fuel ratio mal-
adjustments. Typically, there is a one-to-one relation between the two
parameters. For this study, however, there was found a large difference
between the two as illustrated in the last row of Table 5-3. From the
190 vehicles surveyed, 100 or approximately 53 percent were discovered
*
to have idle air/fuel ratios above 4%. Using the same criterion for
the garage inspection resulted in rejecting 96 vehicles, however, only
49 of these vehicles were found to be outside the pass/fail limits.
This apparent inconsistency can be attributed to inaccuracy in the garage
measurement procedures.
An analysis of measurement accuracy between the laboratory and
garage equipment is shown in Table 5-4. The data show the wide
variability between the two sets of measurements. For all model
emissions, the garage readings were found to fall within a + 10 percent
band of the laboratory readings is less than 10 percent of the recorded
measurements. The highest percentage (approximately 2/3) of the cases
found the garage reading lower then the corresponding laboratory
readings. This situation, in effect, led to higher rejection rates
then had orginally been planned for in the experimental design (50
percent for laboratory versus 59 percent for garage). Certainly
improving the quality control of the measurement phase of the inspection
program should lead to more effective system performance.
* The extent of engine maladjustments and malfunctions were determined
in the laboratory.
-------
Average
Lab
Emission Reading
Idle HC 563.650
2500 HC 405.453
Idle CO 5.153
2500 CO 3.458
Sample Size: 300
Table 5-4
Analysis of Measurement Accuracy Between
Laboratory and Garage Equipment*
Average
Garage
Reading
Garage
Reading
Too Low**
(Percent)
Garage
Wi thin
±10 Percent
(Percent)
503.883 70.3 6.3
351.173 75.3 6.7
4.534 62.0 8.7
3.150 61.0 6.3
* Measurements derived using Sun equipment.
** Garage reading less than 0.9 x Lab reading.
*** Garage reading greater than 1.1 x Lab reading.
Garage
Reading
Too High***
(Percent)
23.3
18.0
29.3
Average Difference
Between Readings
267.566
190.280
1.745
32.7
-------
5.2 VEHICULAR EXHAUST EMISSION STANDARDS
A crucial element in the design of an effective inspection/main-
tenance program involves the establishment of automotive exhaust
emission standards. The relationship between emission standards and
system performance embodies a number of complexities which must be
thoroughly understood prior to the implementation of the control program.
Tables 5-5 and 5-6 show vehicle rejection fractions as a function
of single idle mode cutpoints for pre-controlled and controlled vehicles,
respectively. The reported data was recorded under laboratory conditions.
In Table 5-5 the relationship between emissions as measured by both the
Beckman and SUN equipment if related to the percent of vehicles rejected.
For example, a pass/fail criterion of 860 ppm using the Sun equipment
would reject 20 percent of the vehicles whereas the same criterion used
with the Beckman equipment would fail nearly 40 percent. The corre-
sponding criterion need to fail 20 percent using the Beckman equipment
is 1280 ppm or 420 ppm greater than for the Sun equipment.
As seen in Table 5-6, the correlation between the Beckman and
laboratory Sun equipment for CO is much closer. For example, a 5.6%
criterion for the Sun instrument yields a rejection rate of 30 percent
whereas the same criterion would reject approximately 38 percent using
the Beckman analyzer.
Regression analysis between the Beckman and Sun equipment revealed
a population weighted average correlation coefficient of 0.7 for HC
and 0.94 for CO. More details on the characteristics of the measuring
equipment can be found in Section 6.1.5 of Volume II.
The estimated rejection rates in the foregoing analysis are based
on a single emission standard. That is, the interactive effects
-------
Table 5-5
Rejection Fractions Versus Idle Mode Outpoints for Pre-Controlled Vehicles
jfct-'jm
' ir
( >
1 1
•' J
.7 fl
Tn
°'l
"piT
HC
(Cpvl)
"* 8 t* 0 1
IS ? 1:
_t i
15 0 0]
> 10 0
P,'- 0 1
-CO O
qciGT-
1 C n
U7Q 1
o p
HC
Pr'T'KM A M
(PDM)
^00
1^01
qt»o
? 5 n
770
72 C
~65n
*11
470
24 0
HC.
SUN
(PPM)
? 5 0 0
145 J
CO CO
BECKMAN "SUN
(ocPCFNT> (PERCENT)
l?j)0
^0
7f>1
r, o n
600
^5 J
45 G"
400
n:-
131
1?. 3
10.1'
9.3
1.4
7.1
c.n
r-. 8
<4.7
7 7
2.7
. 1
?0. G
8.4
7. h
6. 5
5.3
4. ft
'4.1
.1. 3
2. 1
. ?
NOX
(DOM)
4 27
1 2ci
84
7 7
^1
5 1
4^
3^
2 3
?4
-------
Table 5-6
Rejection Fractions Versus Idle Mode CutDotnts for Controlled Vehicle*
cn
i
RFJFCTTCM
(3FoCTMn
o
"TT
Ln
7 7
f- 0
~n
0 I
90
HC
( POM)
J
i n^o:
j>r>(n
56G 1
I+7C 0
<*20 C
TOQ r
Yu o i
29 0 T
2300
HC
3F'r KM/I'M
(PPM)
?50n
1330"
780
66 5
55"G
<+9D_
<~<~0
3 3 j
3 30
?7Q
HC
(PPM)
2 5 0 0
76 0
oflG
Ukl
3 5 0
? 9 J
?«> G
" '?2l
170
130
CO CO
BECKHAN SUN
(PF^CFNT) (PFPCFNT)
12.8
9.0
7 •?
b.U
«t. 7
<~. C
3. 3
1 . 9
1.0
?0. 0
S. 2
101
77
70
6 <4
5 ?
5 0
-------
between emissions, e.g. idle HC and idle CO, have not been taken into
account. In determining an optimal set of emission criteria, however,
these interactions must be taken into consideration. Since we have
two bases for rejecting a vehicle, HC and CO emissions, a car can be
rejected for failing one or the other or both of these tests. If HC
or CO were to be used separately then the appropriate cutpoints for
them are in Tables 5-5 and 5-6. However, since they are to be used .
together their interaction must be accounted for.
If the HC and CO emission levels were completely independent of
each other then the combined rejection fraction could be calculated
simply by taking the union of the two individual rejection fractions:
rT0TAL = rHC U rC0 = rHC + rC0 " rHC X rC0
Since there are an infinite number of possible r^'s and r^'s which
would fulfill this requirement the additional constraint of having
r^ equal r^Q yields a unique set of cutpoints. Thus, to find the cut-
points with a total rejection fraction of 50 percent one would use the
cutpoints for HC and CO at 30 percent as found in Tables 5-5 and 5-6.
These values are 940 PPM and 8.4 percent for HC and CO respectively
for precontrolled and 660 PPM and 6.4 percent for controlled vehicles.
Since the union of 30 percent and 30 percent is 51 percent,use of these
cutpoints will results in rejecting 51 percent of the total vehicle
population. That is if, indeed, HC and CO emission levels are independent
of each other.
Unfortunately, test results have shown that HC and CO are not
independent. A vehicle with high HC emissions is also more likely to
-------
have high CO emissions than pure randomness would indicate, and vice
versa. Consequently, one must consider these interactions in
establishing effective emission standards. The results of this investi-
gation is presented in Tables 5-7 and 5-8 for pre-controlled and
controlled vehicles, respectively.
Tables 5-7 and 5-8 show the relations between the rejection
fractions and mode emission cutpoints including the effects of inter-
actions. These idle key mode emissions are those measured with the
Sun instruments. The cutpoints were selected on the basis that the
rejection fractions for HC and CO taken separately should be equal.
Thus the HC and the CO cutpoints are equally responsible for the net
effect of their joint use.
The cutpoints for 50 percent are illustrated further in Table 5-9.
This table also includes the standards used in the inspection experi-
ment for the purpose of comparison. Also shown is the rejection
fraction due to HC and CO alone and those vehicles which are rejected
by both of these tests.
The experimental standards are notable in that they result in
rejection fractions somewhat higher than anticipated. Although they
were designed for a rejection rate of 50% they in fact produced an
actual rate of 61.2% and 58.3% at the laboratory and garage, respectively.
There are several reasons for the difference between these three figures:
1. The initial cutpoints were derived without considering
the potential interactions between multiple emission
cri teria.
2. The nature of these tests was to introduce a bias
lowering apparent vehicle emissions.
-------
Table 5-7
Rejection Fractions Versus Multiple Idle Key Mode Outpoints for Pre-Controlled Vehicles
RFJ^nTTOy ^ _ CO
("ororr^t) " ' y p r» ^) " ' (PFRCFNT)
n ?^0 j. 20.0
1 a _____ ?^or:. n. o
?o l?ri. 9.!+
1C 81.
_CJT_ *01. ___ .AvO.
r- 0 7 £» n . 7,1
f0 7 0", 6.7
7n w. _ _
8 0 c 2 0 . t*. c
90 t»51. 3.8
-------
Table 5-8
Rejection Fractions Versus Multiple Idle Key Mode Outpoints for Controlled Vehicles
"FjrCTinN HC CO
(ProCFNT,
-------
Pre 1968
Post 1967
Pre 1968
Post 1967
Table 5-9
Emission Outpoints for Vehicles at 50% Rejection Rate
Outpoints
HC CO
(PPM) (Percent)
800
330
725
360
Percentage of Vehicles Rejected
By HC By CO By Both
Only Only HC and CO Total
12.7
10.5
18.2
12.6
33.6
16.8
20.0
11.6
13.6
34.7
12.7
25.3
59.9
62.0
50.9
49.5
Experimental
Standards
Revi sed
-------
3. Garage emission readings were generally significantly
lower than lab readings as reported in Section 5.1.
The revised standards, which yield a 50% rejection rate, represent a
more accurate assessment of these important interactions.
The evaluation of specific vehicle attributes represents another
important consideration in establishing effective emission standards.
Clearly, no one set of standards will necessarily be applicable for the
entire vehicle population. Instead, standards based on individual
vehicle characteristics, e.g., emission control type, most likely
will yield improved results. The more significant emission oriented
attributes include: control type, model year, engine block size, gross
weight, and manufacturer.
An analysis of variance procedure was used to evaluate the statis-
tical significance of partitioning the vehicle population by control
type and engine block size. Results of this evaluation are given for
HC, CO and NO in Tables 5-10, 5-11 and 5-12, respectively. Shown are
idle and CVS emissions means for the partitioned population. These
results clearly show that there exists a statistical difference between
vehicular control types (as indicated by the large X scores) for all
three emission species (using both idle and CVS procedures).
Unfortunately, the case for engine block size produces ambivalent
results. The statistical scores for both idle HC and idle CO were not
significant, indicating no difference in idle HC and idle CO emissions
between small (equal to or less than 200 cubic inches) and large
2
(greater than 200 cubic inches). The computed X for idle N0X emissions,
however, indicates a statistical difference between the two engine block
sizes.
-------
These results indicate that for an idle inspection program
(measuring HC and CO) it is unnecessary to differentiate between large
and small vehicles. In terms of mass emissions, however, partitioning
the vehicle population by engine size does result in statistically
significant differences. Since reducing mass emissions is of
prime importance in any inspection program, the above observations must
be considered when establishing meaningful standards.
The use of a block size criterion of 200 cubic inches was merely
to illustrate the impact of this vehicle attribute on defining idle
exhaust emission standards. Statistical analyses were performed to
determine the significance of several engine sizes on emissions.
Figures 5-1 and 5-2 show the significance of engine size on idle and
CVS emissions. Plotted on the vertical axis is the probability of
occurrance for a particular engine size partition (the lower the
probability of occurrance the higher the confidence that the two
different classes are different). The developed results for idle
emissions (Figure 5-1) are somewhat confounded. For example, the
maximum confidence levels, i.e. lowest probability of occurrance, are
400 cubic inches for HC, 200 cubic inches for CO and 200 cubic inches
for NO . The situation for CVS emissions is much more consistent.
A
Herej the maximum confidence levels for all three species are
at 200 cubic inches.
-------
Table 5-10
Analysis of Variance Results for
an Idle HC Emission Inspection
Pre 1968
1968-1970
Post 1970
£ 200
Block Size
Y1 > 200
00
XIdle = 1227 ppm
XCVS =8.48 g/m
XIdle ** 1032 ppm
^ C VS ~~ 6 • 5 5 Q / rn
XIdle = 631 ppm
Xcvs =5.28 g/m
*Idle = 889 ppm
Xcvs = 11.05 g/m
X"ldie = 640 PPm
Xcvs = 7.18 g/m
XIdle = 521 ppm
Xqvs = 5.86 g/m
"'idle = °-174
v2
3.130
CVS
x2 = 53.352
Idle
x
2 = 113.175
-------
Table 5-11
Analysis of Variance Results for
an Idle CO Emission Inspection
Pre 1968
1968-1970
Post 1970
< 200
XT .. = 5.84%
Idle
XT = 4.60%
Id] e
Xidie = 5.77%
Xcvs = 96.6 g/m
Xcvs =91.6 g/m
*CVS =
Block Size
Y1 > 200
XT,, = 6.34%
Idle
XT = 5.08%
Idle
*Idle a 4-21%
vo
XCVS = 148.8 g/m
XCVS = 100.1 g/m
Xcvs = 88.1 g/m
x2 = 0.220
Idle
X2 = 13.273
CVS
X2 = 12.646
Idle
X2 - 74.875
-------
Table 5-12
Analysis of Variance Results for
an Idle 110. Emission Inspection
X
Pre 1968
1968-1970
Post 1970
< 200
xIdie = 58,2 ppm
XIdle = 53,9 ppm
Xldie = 158J ppm
XCvs =1.97 g/m
XCvs = 1-88 g/m
X^ys = 2.41 g/m
Block Size
? >200
*Idle = 67,6 ppm
*Idle = 87,0 ppni
X^ie = 93-] PPm
ro
o
Xcvs = 2.14 g/m
*CVS =
Xcvs =2.70 g/m
V2
= 14.759
x2 = 3.313
Idle
X2 = 3.130
CVS
Idle
24.952
-------
200 300 400
Block size ~ cubic inches
500
Figure 5-1
Statistical Significance of Partitioning Vehicle
Population by Engine Displacement for Idle Emission Testing
-------
200 300
Block size ~ cubic inches
Figure 5-2
Statistical Significance of Partitioning Vehicle
Population by Engine Displacement for CVS Mass Emission Testing
-------
5.3 PROGRAM EFFECTIVENESS
The general effectiveness of an inspection and maintenance program
is usually measured in terms of derived emission reductions and
associated costs. Typically, the more extensive inspection and main-
tenance procedures yield higher emission reduction potential at
greater costs. The purpose of this section is to summarize the
effectiveness and cost results developed from the experimental inspection
program.
The effectiveness of an inspection and maintenance program can be
measured in several ways. One method focuses on the emission reduction
achieved for those vehicles receiving corrective maintenance i.e., those
failing the inspection. Another method translates these estimates into
weighted averages for the entire population which yield somewhat
smaller estimates of performance although they are a truer measure of
actual performance . Table 5-13 presents a comparison of emission
levels between passed and failed vehicles. The results are shown
for both CVS and key mode data. Also given is the percentage difference
between means and the corresponding t-score (indicating the level of
statistical significance). The most interesting aspect of this table
is the large percentage differences confuted for most of the emissions (NO
emissions appear to be the only exceptions). These estimates clearly
underscore the basic differences between the two classes of vehicles.
The large t-scores support the statistical significance of these
observations.
Those vehicles failing the inspection underwent an idle adjustment
tune-up, followed if necessary, by more extensive engine repair.
Table 5-14 presents a comparison between CVS vehicular emission level'.,
-------
before and after engine maintenance. CVS values are given because they
represent the most accurate measure of aggregate exhaust emissions. A
substantial reduction in exhaust emissions was achieved for both HC and
CO (24.4 and 16.7 percent, respectively). The computed t-score for
both emissions is statistically significant. No real reduction was
detected for N0X emissions. It is interesting to note that the standard
deviation for all three species was reduced as a result of the main-
tenance treatment.
These estimates of emission reduction for the failed segment of
the fleet, as noted earlier, are not indicative of the entire vehicle
population. Table 5-15 reveals the results of weighting with the total
population. Basically, this can be accomplished by multiplying the
rejection fraction i.e., percentage of vehicles failing the inspection
by the predicted emission reductions for those vehicles. The data
shown 1n Table 5-15, however, were derived from actual pre- and post-
maintenance measurements. As expected, these weighted results show
a lower emission reduction effectiveness compared to the results for
the failed vehicles (13.2 percent for HC, 9.2 percent for CO ana zero
percent for N0X). Again the t-scores for HC and CO are statistically
significant.
These predicted reductions, however, are somewhat static in nature
in that they do not account for important temporal effects. Of particular
significance is the impact of engine deterioration on exhaust emissions.
In an attempt to account for this important effect, the population
weighted predictions have been adjusted using the EPA deterioration
-------
factors.* These results are also shown in Table 5-15. The estimated
reduction effectiveness for an idle inspection program for Denver is
6.6% for HC, 4.6% for CO, and zero for N0X< These numbers are in
general aggreement with those reported fur uUier experimental programs.**
The costs for this inspection program are given in Table 5-16.
These cost estimates have been developed based on a representative
sample of service garages taken throughout the Denver area. Two types
of direct costs are associated with this type of program -- inspection
costs and maintenance costs. The average inspection cost for all
vehicles participating in the experiment was $4.05. Again, the sample
size for this experiment was 300 vehicles. This included the labor
involved in measuring HC and CO emissions at idle. The average cost
for performing the necessary idle adjustments amounted to $4.53 per
tuned vehicle. Some failed vehicles were require to undergo additional
engine repair in order to return their emission levels to standard.
The cost for this operation was approximately $26.00. Finally, the
average inspection and maintenance cost for those vehicles receiving
maintenance came to $10.57 whereas the average inspection and maintenance
for the entire population was $10.15 per vehicle.
* While the EPA procedures are admittedly crude they should yield a rough
estimate as to the impact of engine deterioration on exhaust emissions.
A more definitive characterization of this phenomenon will be available
at the end of the current deterioration program.
** TRW, I nc., A Study of Mandatory Engine Maintenance for Reducing Vehicle
Exhaust Emissions, Vol. 2, July, 1973.
-------
Table 5-13
COMPARISON OF PASSED AND FAILED VEHICULAR EMISSIONS
Passed
Failed
Percentage
Emission**
Mean
SD
Mean
SD
Di fference
T-Scor<
HC 1975
6.273
3.003
9.197
6.539
46.6%
5.180
CO 1975
94.396
41.055
121.689
58.335
28.9
4.740
WO 1975
x
2.685
1 .432
2.527
1 .388
0
N.S.*
HC Idle
533.720
284.132
866.234
562.818
62.3
6.687
HC 2500
219.088
162.523
538.571
654.584
145.8
6.174
HC Low Cruise
492.416
170.938
624.589
370.688
26.8
4.127
HC High Cruise
466.560
167.054
591.349
392.958
26.7
3.740
CO Idle
3.850
2.526
6.429
2.841
70.0
8.245
CO 2500
2.688
1 .950
4.008
3.629
49.1
4.047
CO Low Cruise
2.443
1 .767
3.397
2.788
39.1
3.612
CO High Cruise
3.441
2.748
4.236
2.993
23.1
2.372
NO Idle
x
95.840
71.352
78.943
196.289
-17.6
1.043
NO Low Cruise
1426.272
764.897
1375.234
885.958
0
N.S.*
NO High Cruise
X
1650.840
1027.548
1601.000
1123.127
0
N.S.*
Sample Size
125
175
* N.S. - Not Significant
** All key mode emission measurements presented herein were made with the Beckman equipment
-------
Table 5-14
COMPARISON OF EMISSIONS FOR FAILED VEHICLES BEFORE AND AFTER MAINTENANCE*
on
i
rv>
Before After
Maintenance Maintenance Percent
Emission Mean SD Mean SD Difference T-Score
HC 1975 9.197 6.539 7.390 5.601 24.4% 2.769
CO 1975 121.689 58.335 104,271 51.816 16.7 2.945
N0X 2.527 1.388 2.447 1.212 0 N.S.*
* Sample Size = 300
-------
Table 5-15
COMPARISON OF EMISSIONS FOR TOTAL POPULATION BEFORE AND AFTER MAINTENANCE*
Before After
Maintenance Maintenance Percentage With ***
Emission Mean SD Mean SD Difference T-Score Deterioration
HC 1975 7.978 5.541 6.924 4.722 13.2% 2.50 6.6%
CO 1975 110.317 53.488 100.157 47.804 9.2 2.45 4.6
NOx 1975 2.593 1.406 2.546 1.311 0 N.S.** 0
tn
i
r>o
CD
* Sample Size = 300
** N.S. - Not Significant
-------
Table 5-16
Idle Inspection Maintenance Costs
Initial Inspection Cost (average)
Cost
$ 4.05 Car
Idle Tune-up Cost (average)
$ 4.53 Tuned Car*
Additional Repair Cost (average)
$26.00 Tuned Car**
Average Total Cost
$10.57 Tuned Car1*
Average Total Cost
$10.18 Car
Total Sample Size
300 Cars
* Those vehicles receiving some form of maintenance,
** Those vehicles receiving additional repair only.
-------
6.0 EVALUATION OF MANDATORY ENGINE MAINTENANCE
An evaluation of mandatory engine maintenance was conducted by
comparing the emissions from a set of vehicles drawn from the general
population with the same vehicles after they had received engine
maintenance. A test population of 144 vehicles was used to simulate
the impact of mandatory maintenance. Results from the program are
shown in Table 6-1. The 'before maintenance' emission data was
developed from the initial survey of the vehicle fleet. The 'after
maintenance' estimates are based on post maintenance measurements.
The data are the CVS (1975 procedure) measurements for HC, CO and NO .*
X
There was a 19.1 percent decline in HC and 9.8 percent in CO
which are shown by their respective t-scores to be of statistical
significance. (A t-score greater then 1 normally indicates a reasonable
level of significance). Furthermore, there was nearly a 7 percent
reduction in N0x emissions. Again, it is interesting to note the
relative reduction in the standard deviation after corrective maintenance.
Also shown are estimates of the effectiveness of mandatory main-
tenance with deterioration. These estimates have been developed using
EPA deterioration procedures. The EPA assumes that emission levels
return to the pre-maintenance level in one year in a linear fashion. There-
fore, at any one time the average reduction in emissions will be one-half
the full reduction. Therefore, emissions for the general vehicle
population should be reduced by 9.6 percent for tIC and 4.9 percent for
CO ori the average over che period of one year.
* A detailed description of the actual maintenance performed can be found
in Volume II of this report.
-------
Table 6-2 gives the costs per vehicle associated with this
reduction. Based on these results, mandatory maintenance is less
cost-effective than the idle inspection/maintenance for the emission
reductions attained. The average parts cost for this program was
$22.23 per vehicle and the average labor cost was $26.87 per vehicle.
Thus it appears that the costs breakdown between parts and labor is
nearly equal. Clearly, the more attractive approach is to inspect
-------
Table 6-1
Analysis of Mandatory Maintenance*
Emi ssion
Before
Mai ntenance
Mean
SD
After
Mai ntenance
Mean
SD
Percentage
Di fference
T-Score
With
Deterioration**
HC 1975
7. 190
5.237
5.818
2.535
19.1
2.82
9.6
CO 1975
99.887
46.760
90.136
42.799
9.8
1 .84
4.9
N0x 1975
2.759
1 .392
2.568
.253
5.9
1 .22
3.5
* NOTE: A sample size of 144 vehicles was used in this analysis. The sample size used in
Volume II was 155. This slight difference did not have a significant impact on
the computed emission reduction results.
-------
cr>
i
-P*
Table 6-2
Mandatory Maintenance Costs
Average Parts Cost = 22.23 $/car
Average Labor Cost = 26.87 S/car
Average Total Cost = 49.10 S/car
-------
7.0 EFFECT OF IDLE ENGINE ADJUSTMENTS
ON EXHAUST EMISSIONS
Due to the different atmospheric conditions which prevail at high
altitudes the engine parameter settings specified by the automobile
manufacturer might not be expected to yield minimal emission levels.
Therefore, a basic engine adjustment program was undertaken to determine
the effectiveness of readjusting certain of these parameters.
Based on the results of a previous study, a set of four engine
parameters were selected for investigation.* These four adjustments were
identified as being inexpensive and easy to modify, and emission levels
were found to be particularly sensitive to changes in their settings. TRW
derived the requisite parameter adjustments from earlier experiments and
engineering considrations. These adjustments are presented in Table 7-1.
The idle adjustment experiment was designed to determine the effects
of each of the factors (A, B, C, and D) and of the three second order
interactions AB, BC, and AC. In the study cited above,it was discovered
that the fourth parameter, vacuum choke kick, did not interact with any
of the other three. Therefore, the experiment could be simplified to
a one-half fractional factorial design involving eight(8) engine settings
per car. Twenty-five cars were chosen to represent the total vehicle
population.
Each vehicle was adjusted according to the settings given in
Table 7-2, and the emission levels were measured and recorded. Settings
~
Reported in TRW, Inc., A Study of Mandatory Engine Maintenance for
Reducing Vehicle Exhaust Emissions, Vol. IV, July 1972.
-------
2 through 8 were administered in a random ot.i;:r different for each
vehicle. Each vehicle was finally set to manufacturers' specifications
(setting number 1) and the emission levels measured.
The adjustment in idle air/fuel ratio was measured in terms of an
equivalent drop in rpm. More specifically, the setting was decreased
until a 200 rpm drop was recorded. This procedure provided a more
direct and simple approach for adjusting air/fuel ratio in a garage
environment. The resultant influence coefficients were computed based
on the 200 rpm drop instead of the actual percentage reduction in idle
CO.
The results of the analyses is presented in Table 7-3 through
Table 7-8. In Table 7-3 through Table 7-5 the changes in emission
levels for each emission type and engine adjustment for each car is
shown. The variance in the data is immediately apparent. Some of
the adjustments can have precisely opposite effects in different cars.
Nevertheless, some patterns are evident and emerge upon analysis.
Tables 7-6 through 7-8 present a summary of the essential results,
for each emission species. The influence coefficients relating the
change in emission level with the parameter adjustment and the
confidence level at which the relationship is expressed are shown.
For HC, only one parameter (Idle air/fuel) was found to have even a
minimal influence on emissions. This was a surprising development since
one would expect HC emissions to be sensitive to timing. The experimental
results, however, revealed no significant reductions even though timing was
advanced eight(8) degrees. The subdivision of the data into more homogeneous
units, e.g. Fords, might yield more effect results. For the present sample
-------
size (25), however, this would.be difficult to justify. These results
are consistent with those revealed in the high altitude retrofit study,
where timing advance did not yield significant HC emission reductions
contrary to expectations.
The results for CO reveal a much stronger correlation between
three primary adjustments and resultant changes in emission levels.
There are also significant second-order interactions between idle air
fuel and timing.
The effect of the adjustment program on NOx emission levels was
extremely small. None of the measured effects were greater than 50%
significant. Since CO and NO tend to have an inverse relationship,
it was somewhat surprising that no significant inverse correlations
were found for NO . A future study into the factors influencing NO
X X
emissions at altitude might be warranted.
In summary, the overall impact of an engine adjustment program
appears small. Exceptions to this observation were idle air/fuel ratio
and basic timing adjustments on CO emissions. One possible variation
on the theme would be to incorporate the adjustment of these parameters
as part of the annual inspection program. While the potential impact
of this approach has not been measured directly the potential for
increasing CO emission reductions at reasonable cost appears good.
-------
Table 7-1
Engine Adjustments Tested by the Experiment
Idle Air/Fuel Ratio(A)
Idle RPM(B)
Basic Timing(C)
Vacuum Choke Kick(D)
An equivalent 200 ppm drop
+200.0 RPM
+8.0 Degrees
+50.0
-------
Table 7-2
Experimental Test Settings*
Setting
Number Setting Value**
A B C D
"I -
2 + - - +
3 + - +
4 + +
5 + +
6 + - +
7 + +
8 + + + +
* NOTE: A few of the vehicles tested did not undergo the full sequence.
** A = Idle Air/Fuel Ratio
B = Idle RPM
C = Basic Timing
D = Vacuum Choke Kick
+ = Experimental Value
- = Manufacturer's Specification
-------
Table 7-3
Comparison of Adjustment Effects for HC
Run No.
Car No.
Idle CO (A)
Effect (q/m)
Idle RPM (B)
Effect (g/m)
Timing (C)
Effect (g/m)
Choke (A)
Effect (g/m)
AB
Effect (g/m)
AC
Effect (g/m)
3C
Effect (g/m)
1
39
-2.237
-0.682
6.308
4.373
6.857
0.727
1.873
2
57
-0.080
-0.005
-0.010
0. 435
0.025
-0.050
-0.125
3
59
-1.900
0.375
0.770
-0.785
-0.205
0.160
1 .945
4
74
-0.650
-0.435
-0.165
-0.300
0.510
0.030
0.595
5
73
0.842
-0.492
0.803
0.828
0.857
0.563
-0.192
6
103
-0.242
-0.133
0.413
0.282
0.087
-0.267
-0.217
7
106
0.718
0.233
1.323
-0.733
-0.053
-0.093
-1.02S
8
111
-0.920
-0.060
-0.755
0.485
-0.665
-1 .370
0.090
9
112
-0.090
-0.780
1 .360
1.450
0.355
0.785
-1.255
10
113
0.033
0.408
1.088
0.683
0.923
0.372
C.2-1"
11
115
-2.992
0.318
1.513
0.073
-1.577
-2.082
-0.113
12
123
-1 .767
-0.777
0.708
0.878
-0.562
-0.828
-1.537
13
149
-2.689
-0.692
0.073
-0.053
0.292
0.497
0.233
14
147
-1.120
0.290
0.695
0.015
0.240
-0.085
-0.08d
15
175
-0.520
0.040
0.240
-0.180
-0.470
0.130
0. 2o0
16
193
-1.127
-0.482
-0.552
1 .102
-0.187
1.183
0.69S
17
183
-0.550
-0.120
0.335
0.315
0.410
-0.885
-0.955
18
181
-3.022
2.643
2.773
-2.772
-2.668
-2.198
2.927
19
180
1 .973
-3.052
2.268
-1.517
1.082
-0.397
-3.282
20
179
0.827
-0.827
0.983
3. 157
0.607
0. 138
-------
Table 7-3 (Cont.)
Run No.
Car No.
Idle CO (A)
Effect (q/m)
Idle RPM (B)
Effect (q/m)
Timing (C)
Effect (q/m)
Choke (A)
Effect (q/m)
AB
Effect (q/m)
AC
Effect (g/m)
BC
Effect (g/m)
21
210
-0.588
-0.542
0.478
0.612
0.283
0.092
-0.473
22
212
-3.327
-0.542
0.168
0.438
1.173
0.423
0.587
23
214
0.125
1.145
-0.555
-2.785
-0.300
0.180
-1.100
24
198
-3.885
-0.915
0.930
0.540
-0.035
-1.100
-0.910
25
289
-1.308
1.578
-0.232
0.313
-1 .148
0.722
-0.043
-------
Table 7-4
Comparison of Adjustment Effects for CO
Idle CO (A)
Idle RPM (B)
Timing (C)
Choke (D)
AB
AC
BC
Run No.
Car No.
Effect (q/m)
Effect (q/m)
Effect (q/m)
Effect (q/iii)
effect (q/m)
Effect (g/m)
Effect (q/m)
1
39
1.875
-4.87b
-3.075
3.975
-16.075
14.125
-7.425
2
57
0.800
4.050
-8.450
5.900
-8.650
-3.150
-3.100
3
59
-3.500
-3.950
-3.050
-17.900
7.750
-0.150
18.800
4
74
-7.000
4.150
-3.950
-2.800
3.700
-5.700
1.350
5
73
2.700
-4.550
-1.350
7.000
12.700
3.300
-5.250
6
103
-6.100
-6.200
-5.300
2.100
1 . 300
-1.300
-4.500
7
105
2.500
13.850
1.250
-1.500
6.150
-1.851
-7.000
8
111
-20.275
7.875
-3.975
-25.625
-4.275
-4.125
10.00
I 9
00
112
-7.350
-1.750
13.200
21 .600
1.050
16.400
-7.300
10
113
-14.600
6.600
5.150
5.550
3.350
8.100
2.600
11
115
-16.225
-5.225
-14.425
0.475
-9.925
-20.125
-14.025
12
123
-13.275
-6.075
11.515
-7.875
2.925
-12.67-,
-0.525
13
149
-45.825
-0.525
-0.625
0.275
-7.775
-4.275
1 .125
14
147
-24.225
-1.125
-1.825
2.675
0.625
0.925
-2.075
15
175
-13.400
-7.100
-13.400
-3.200
0.900
9.200
8.900
16
193
-32.450
-4.300
-6.650
-1.400
-2.700
7.850
-b.300
17
183
-31.825
-7.325
-12.625
4. 775
11.475
-6.525
-12.225
18
181
-18.300
0.350
-22.550
7.300
12.300
33.200
5.550
19
180
-14.750
-16.950
-17.400
-14.700
7.000
3.850
17.150
20
179
-8.250
-1.150
-7.350
-13.750
2.350
-1.550
0.850
21
210
-13.950
4.400
1 .050
3. 900
0.950
1 .600
-------
Table 7-4 continued
Run No.
Car No.
Idle CO (A)
Effect (q/m)
Idle RPM (B)
Effect (q/m)
Timing (C)
Effect (q/m)
Choke (D)
Effect (g/m}
AB
Effect (g/m)
AC
Effect (g/m)
BC
Effect (g/m)
22
212
-32.800
-1.900
1.300
1.200
-0.900
-3.300
0.600
23
214
-47.100
16.100
-6.300
-25.000
-19.250
4.550
7.950
24
198
-49.850
-9.300
-6.250
0.200
6.000
-3.250
-9.600
25
289
-9.175
12.225
2.725
-2.775
0.475
-6.425
-------
Table 7-5
Comparison of Adjustment Effects for NO
Run No.
Car No.
Idle CO (A)
Effect (g/m)
Idle RPM (B)
Effect (g/m)
Timing (C)
Effect (g/m)
Choke (D)
Effect (g/m)
AB
Effect (g/m)
AC
Effect (g/m)
BC
Effect (g/m)
1
39
-0.385
0.385
1.585
0.085
0.160
-0.480
0.048
2
57
-0.002
-0.017
0.068
-0.057
0.227
0.062
0.008
3
59
-0.225
0.150
0.085
0.240
-0.288
-0.355
-0.210
4
74
0.265
0.025
0.590
0.360
-0.090
0.455
0.145
5
73
1.722
-0.392
0.778
0.592
0.023
0.852
0.328
6
103
0.112
0.098
0.448
0.073
-0.012
-0.133
0.092
7
106
-0.030
-0.105
0.205
0.100
-0.170
-0.110
-0.155
8
111
0.297
-0.347
-0.292
0.922
0.003
-0.942
-0.657
r 9
112
1 .158
0.533
1 .683
1 .657
0.568
0.588
-0.617
o 10
113
0.328
0.058
1 .533
-0.357
0.387
0.013
-0.377
11
115
-0.067
0.128
0.453
-0.013
-0.133
-0.028
0.218
12
123
0.058
0.088
0.473
0.082
-0.043
0. 192
-0.047
13
149
1.145
0.345
1 .440
0.180
0.195
0.450
-0.410
14
147
-0.045
0.450
0.860
0.015
0.080
-0.220
0.055
15
175
-0.008
0.372
0.633
-0.198
-0.232
-0.262
'0.027
16
193
0.427
0.242
0.048
0.482
-0.077
0.797
0.282
17
183
0.680
-0.090
1.485
-0.005
0.015
0.110
0.110
18
181
0.005
0.025
1.445
-0.635
-0.505
-0.705
0.125
19
180
0.390
1.210
1.130
-0.130
-0.295
0.255
0.155
20
179
0.410
-0.245
0.765
0.540
0.230
0.310
-0.025
21
210
0.010
-0.410
0.465
0.945
0.665
-0.260
-------
Table 7-5 continued
Run No.
Car No.
Idle CO (A)
Effect (g/m)
Idle RPM (B)
Effect (g/m)
Timing (C)
Effect (q/m)
Choke (D)
Effect (g/m)
AB
Effect (g/m)
AC
Effect (g/m)
BC
Effect (q/m)
22
212
0.380
0.230
0.095
0.095
0.270
0.175
0.285
23
214
0.250
0.565
3.645
0.480
0.040
0.540
0.265
24
198
0.965
-0.185
0.055
-0.025
-0.340
0.170
-0.030
25
289
0.770
0.130
0.425
-0.275
-0.095
0.130
-------
Table 7-6
Engine Adjustment Influence Coefficients
For HC
Engine
Adjustment
I nfIuence
Coefficient
Confi dence
Level
(Percent)
Idle Ai r Fuel (A)
(gm/mi/rpm)
0.00461
60
Idle RPM (B)
(gm/mi/rpm)
-0.000 748
<50
Timing (C)
(gm/mi/deg)
0.120
:50
Vacuum Choke Kick (D)
(gm/mi/% spec.)
0.00450
<50
AB
-0.000008
<50
AC
BC
0.000069
-0.000046
<50
<50
-------
Table 7-7
Engine Adjustment Influence Coefficients
For CO
Engine
Adjustment
Inf1uence
Coefficient
Confidence
Level
Idle Air Fuel (A)
(gm/mi/rpm)
0.08425
99+
Idle kPM (B)
(gm/mi/rpm)
-0.003942
:50
Timing (C)
(gm/mi/deg)
-0.6769
99+
Vacuum Choke Kick (D)
(gm/mi/% spec.)
-0.03584
92
AB
-0.000019
<50
AC
BC
-0.001512
-0.000182
65
<50
-------
Table 7-8
Engine Adjusimerit Influence Luefficients
For NO..
Engine
Adjustment
Influence
Coefficients
Confidence
Level
Idle Air Fuel (A)
(gin/mi/rpm)
-0.001880
<50
Idle RPM (13)
(gm/nii /rpm)
0.000688
'50
Timing (C)
(gm/mi/deg)
0.108
<50
Vacuum Choke Kick (D)
(gm/mi/% spec.)
0.00457
<50
AB
AC
BC
-0.000001
-0.000031
-0.000010
<50
•-50
<50
-------
8.0 ASSESSMENT OF SEA LEVEL AND HIGH
ALTITUDE RETROFIT DEVICES
The present Colorado Transportation Control Plan calls for the
installation of air bleed retrofit on all pre-control1ed vehicles and
a high altitude modification package on all 1968-1974 vehicles. The
estimates of effectiveness for these devices were based primarily on
data collected at sea level. Consequently, one of the key experiments
of the current test program was to characterize the effectiveness of
these and other similar devices at altitude.
Basically, two classes of retrofit systems were tested during the
course of the program. First, a total of eight different combinations
of "sea level" devices were evaluated using standard CVS measuring
procedures. Second, four unique manufacturer-oriented "high altitude"
kits, i.e., GM, Ford, Chrysler, and AMC, were tested for these classes
of vehicles. In the next two subsections the effectiveness and costs
of the several retrofit devices tested are assessed in an attempt to
identify the most attractive alternative for effecting emission reductions
in the existing vehicle population.
8.1 ANALYSIS OF SEA LEVEL RETROFIT DEVICES
For the purpose of analysis the sea level retrofit devices were
divided into two categories based on the vehicle age. Vehicles older
than 1968 were placed in one group and newer vehicles in the other group.
Table 8-1 illustrates the performance of the sea level retrofit
devices for pre-1968 cars. Three systems were analyzed. The vacuum
spark disconnect (VSAD) and air bleed (AIR) system did not produce
statistically significant reductions for either HC or CO. The VSAD
-------
and exhaust gas reduction (EGR) system, however, achieved statistically
significant reductions for all three emission species. The combination
AIR + EGR provided somewhat a large reduction for CO (21% versus 11%) but a
slightly lower reduction for HC (22% versus 26%). In considering overall
effectiveness for HC and CO reduction the AIR/EGR system seems to offer
the greatest overall effectiveness.
Table 8-2 shows the costs associated with each of the retrofit
devices. The devices' affects on mileage is also shown although these
may not be statistically significant. The actual benefits
derived from these devices in using them on pre-1968 cars must be
considered in the light of the fact that the pre-1968 car population is
decreasing continuously. Installing retrofit devices on pre-1968 cars
may not be worthwhile according to the forecasts presented in section 9.0
of this report. Similar results and conclusions were also
reached in a previous study concerning this issue.*
The performance of retrofit devices of post-1968 cars is shown
in Table 8-3. The following observations summarize the results obtained
from the experimental program.
First, air'bleed (AIR) produces a decrease in HC and CO emissions
but also creates a increase in N0„ emissions. Exhaust gas recirculation
x 3
(EGR) operating alone produces a large reduction in NO but has no
X
discernable effect on HC and CO. When the two are combined (AIR/EGR)
they complement one another very well. The combination effects a
decrease in HC and CO as large as or larger than that achieved by AIR
alone. Also the reduction in NO produced by EGR countered the increase
A
* In TRW, Inc. , A Study of Mandatory Engine Maintenance for Reducing
Vehicle Exhaust Emissions, Vol. II, July 1972.
-------
by AIR so that the combination has no net effect on ,M0x- In fact, the
raw data indicated a 28 percent reduction of NO by the AIR/EGR system
A
but the effect had a large variance which yielded non-statistically
significant results.
Secondly, carburetor float bowl pressure regulation (CARB) had a
statistically significant effect only on HC.
Thirdly, the catalyst device (CAT) showed very large and statistically
significant declines in HC and CO as shown by the t-scores.
Clearly CAT is the most effective device followed by AIR + EGR and
with CARB third. However, a comprehensive consideration must include
costs as well as benefits. The costs of the devices are shown in
Table 8-4. A simple estimate of cost effectiveness can be made by
taking ratios of the cost of installing a device and the reduction
in emission levels produced by the device. Table 8-5 presents these
ratios and provides a rough guide to the relative efficiency in terms of
cost for each of the major competing sea level retrofit devices for
post-1967 cars. Some points to consider in evaluating Tables 8-3, 8-4
and 8-5 are the facts that:
e CARB produces no reduction of CO.
« Although CAT and AIR + EGR closely compete on a cost
effectiveness basis the reductions that can be achieved
with AIR + EGR are much smaller than those for CAT.
a The expense of installing CAT is very high .
e AIR + EGR is more efficient in reducing CO than CAT.
o CARB is more efficient in reducing HC than either CAT
or AIR + EGR.
-------
8.2 ANALYSIS OF HIGH ALTITUDE DEVICES
The relative performance of the high altitude emission devices is
clearly shown in Table 8-6. The results are indeed discouraging. The
AMC device produced no significant effects. It should be noted, however,
that there were only four data points for the AMC device. The GM and
Ford devices did even less well producing an increase in NO emissions
X
while having no statistically significant effect on HC or CO. The
Chrysler system while it had an even worse effect on NO did manage to
produce reductions in HC and CO. Basically the data show the high
altitude retrofit devices were generally ineffective, or when they
worked produced large counteracting increases in NO emission levels.
X
Table 8-7 gives the costs associated with the high altitude
retrofi t devices.
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Comparison of Sea Level
VSAD + AIR
% Diff T-Score
U iJ.S. (5)
0 U.S.(5)
46.7 1.59(5)
Table 8-1
Retrofit Systems for Pre-1968 Vehicles
VSAD + EGR AIR + EGR
% Diff T-Score £ Diff T-Score
26.1 1.92(8) 22.^ 1.73(7)
11.2 1.17(8) 21.2 1.25(7)
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Table 8-2
Sea level Retrofit Cost Analysis for Pre-1968 Vehicles
Installation Sample Mileage
Devi ce Cos t Si ze Effect*
VSAD + AIR 24.95 5 -1.20
VSAD + EGR 25.00 8 .05
co
¦<* AIR + EGR 36.95 7 .09
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00
Table 8-3
Comparison of Sea Level Retrofit Systems for Post-1967 Vehicles
COT AIR EGR AIR + EGR CARb
» uff T-Score % Diff T-Score Diff T-Score % Diff T-Score *. Uiff T-Score
HC 72,3 8.61 (4) 17.5 2.S3 (6) 0 U.S. (5) 17.1 1.65 (4) 17.3 1.77 (S)
CO 83.5 2.91 (4) 41,9 1.89 (6) 0 U.S. (5) 47.9 2.07 (4) a U.S. (b)
i«x 0 U.S. (4) -23.6 -1.'59 (6) 42.8 1.95 (5) 0 U.S. (4) 0 .i.S. Ci)
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Table 8-4
Sea Level Retrofit Cost Analysis for Post-1967 Vehicles
Installation Sample Mileage
Device Cost Size Effect*
CAT SI 55.00 & -.39
AIR 24.99 6 .45
CO
I
GO
EGR 32.15 5 -.84
AIR + EGR 36.95 4 -.15
CARB 24.10 5 -.11
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Table 8-5
Sea Level Retrofit Cost-Effectiveness Ratios of
the Major Competing Devices for Post-1967 Cars
$/l percent $/l percent
Device Reduction in HC Reduction in CO
CAT 2.14 1.86
AIR + EGR 2.16 0.77
CARB 1.21
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Table 8-6
High Altitude Retrofit Performance Data
FORD QiRY AT
T-Score X Diff T-Score % Diff T-Score % Diff T-Score
i'I.S, m 0 ii.S. (33) 26,1 1.59 (15) 0 ,i.S. «)
ii.S.
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Table 8-7
High Altitude Retrofit Cost Analysis
Devi ce
Total
Labor Parts Installation
Cost Cost Cost
iample
Size
Mileage
Effect*
Ford
GM
S7.61
8.88
S2.06
3.74
$9.67
12.62
33
48
.25
.73
Chrysler 7.44
AMC
6.30
1.63
1.35
9.07
7.65
15
.85
.56
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9.0 IMPACT OF TEST RESULTS ON TRANSPORTATION CONTROL PLAN
The following discussion focuses on the potential impact of changes
in the assumed effectiveness of the proposed strategy due to the results
of the emission test program. Table 9-1 summarizes the percentage re-
duction in vehicular emissions claimed in the Denver plan, as well as
the reductions measured during the current emissions testing program.
These results clearly indicate that additional controls will be necessary
to achieve the national standard. Forecasts of emission levels by 1977
were prepared in order to ascertain the requirements for additional
transportation control.
9.1 EMISSION FORECASTS FOR 1977
Forecasts of emission levels for 1977 were developed using the
TRW model and the reduction data given in Table 9-1. Specifically, two
cases were examined under the proposed strategy:
1) Determine the impact of the original plan using the
measured experimental data.
2) Estimate the effectiveness of a "revised" plan
using the measured experimental data.
The results from these forecasts are summarized in Table 9-2. Shown
are the assumed and measured estimates for the original plan and the
measured results for the revised plan. The forecasts clearly show
that additional emission reductions will be necessary in order to
match those projected in the transportation control plan. These results
indicate the need for an additional 20 percent reduction in CO and a
7 percent reduction in HC for LDV. The main reason for lower
efficiencies can be attributed to the general ineffectiveness of the
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Table 9-1
Assumed and Measured Reductions for Transportation Control Plan
Measure
Application
Assumed
Per Vehicle
Reduction (%)
CO HC
Measured
Per Vehicle
Reduction (%)
CO HC
1. Inspection/Maintenance
2. Ai r Bleed Retrofit
all autos
Pre-1968 autos
11
50
25
6.9^ )
21 ^2)
(1)
9.9
22(2)
3. High Altitude Mod.
1968-74 autos
25
15
11
(3)
5.2
(3)
(1) These percentages assume a semi-annual inspection. On an annual basis the values
are 4.6% and 6.6% for CO and HC, respectively.
(2) Tests were conducted for air bleed + exhaust gas recirculation (EGR) (no tests were
conducted for air bleed alone).
(3) This result may be optimistic, since only a subset of Chrysler autos responded
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Table 9-2
Comparison of Effectiveness Between Original and Revised
Transportation Control Plan For 1977
¦Measure (LDV only)
Application
Assumed
Original Plan
CO
HC
Measured
CO
HC
Revised Plan
Measured
CO
HC
1. Inspection/Maintenance*
2. Air Bleed Retrofi
3. High A1titude
4. AIR/EGR Retrofit
All autos
Pre-1968 Autos
1968-1974 Autos
1968-1974 Autos
TOTAL
,0%
6.8
.0%
3.4
21.6 13.0
6.9% 9.9%
2.9 3.0
9.5 4.5
4.65
2.9
6.6%
S.O
41.4 14.a
36.3** 23.1**
18.4** 16.7**
46.9** 23.2**
* Original Plan called for a semi-annual inspection program. Revised plan involves an annual program.
** These total percentage reductions include the interaction of inspection/maintenance with the retrofit
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high altitude modification measures. The experimental results showed
that these systems yielded extremely marginal reductions. In fact,
nearly all of the results were not statistically significant and con-
sequently, the estimates given in Table 9-1 should be viewed as somewhat
optimistic.
Forecasted estimates are also given for a revised transportation
plan. This plan calls for an annual inspection program and the use of
AIR/EGR systems on 1968-1974 vehicles instead of the high altitude kit.
These results in terms of HC and CO reductions, appear more consistent
with the original plan estimates. Nevertheless, it would seem quite
appropriate to re-evaluate, in more detail, the entire transportation
control plan with respect to the new data.
9.2 RETROFIT FOR OLDER VEHICLES
One area of particular concern in the development of an effective
control plan involves the retrofitting of older vehicles. Because of
the dynamic nature of vehicle attrition and replacement many older cars
on the road today will be replaced within a few years. This turnover
in the automobile population, especially pre-1968 vehicles, makes it
difficult to justify the installation of retrofit system on older
vehicles.
To help quantify this phenomenon, forecasts were prepared showing the
relative ef fee t i veness of I.he AIR/EGR system for pro-control led vehicles
.1". .i function o I Lime. I hose estimates aro given in figure (:)-1 . As
can bo seen, t.lie relative effectiveness as compared to the total LDV
emission level reduces to zero by 1980. Even for 1977 the effectiveness
is only 3.5 percent and 6 percent for HC and CO, respectively. These
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cu
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10
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Figure 9-1
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relatively low values seem to indicate the marginal potential of this
control alternative. The basic difference between the revised original
plan involves the substitution of the AIR/EGR system for the high
altitude kit for the 1968-1974 segment of the vehicle population. The
revised plan yields over a 9 percent improvement in HC reductions com-
pared to the original plan and equals the original estimate for CO
reductions. While these results look encouraging, it must be noted
that the effectiveness of the AIR/EGR system was based on a small
sample size (4 vehicles). Further testing of this system must be under-
taken before finalizing the structure of the control plan.
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