United States
Environmental Protection
Agency
Air and Energy
Engineering Research Laboratory
Research Triangle Park NC 27711
Research and Development
EPA/600/S8-88/095 Mar. 1989
&EPA Project Summary
User's Manual for the Personal
Computer Version of the Process
Model Projection Technique
(Version 3.0)
Tim Hogan
The Process Model Projection
Technique (PROMPT) is one of four
stationary source emission and
control cost forecasting models
developed by the EPA for the
National Acid Precipitation Assess-
ment Program (NAPAP). PROMPT
projects air pollution emissions
(sulfur dioxide, sulfates and nitrogen
oxides) and costs for industrial
combustion and industrial processes
(i.e., process heaters, furnaces,
dryers, kilns, engines, turbines and
wood-fired boilers). PROMPT
excludes the combustion of natural
gas, distillate or residual fuel oil and
coal in industrial boilers. The outputs
are provided for 1980 (baseline), 1985
(forecasted, not actual), 1990,1995,
2000, 2010, 2020 and 2030.
This document is a user's manual
for Version 3.0 of PROMPT. It
includes procedures and options for
model operation on an IBM-AT or
compatible personal computer. The
model's operation is menu driven
and relatively easy to use.
This Project Summary was devel-
oped by EPA's Air and Energy
Engineering Research Laboratory,
Research Triangle Park, NC, to
announce key findings of the
research project that is fully
documented in a separate report of
the same title (see Project Report
ordering information at back).
Purpose of PROMPT
The Process Model Projection Tech-
nique (PROMPT) has been developed by
Energy and Environmental Analysis, Inc.
for the U.S. Environmental Protection
Agency (EPA) in cooperation with the
National Acid Precipitation Assessment
Program (NAPAP). By design, it is a
simple, low cost model which will provide
an initial assessment of the role and
magnitude of industrial process
emissions in the control of acid
deposition SOa. sulfate, and NOX pre-
cursors.
PROMPT is designed to estimate
future air emissions from industrial fuel
combustion and industrial processes (i.e.,
process heaters, furnaces, dryers, kilns,
engines, turbines and wood-fired
boilers). PROMPT excludes the
combustion of natural gas, distillate or
residual fuel oil and coal in industrial
boilers. PROMPT produces regional and
state-level air emission projections
(S02, primary sulfates, and NOX) and
incremental air pollution control costs.
The outputs are provided for 1980
(baseline), 1985 (forecasted, not actual),
1990, 1995, 2000, 2010, 2020, and 2030.
Overview of User Options
PROMPT produces industrial air
pollutant emissions forecasts from
energy use projections generated by
model runs of Version 2 of the Industrial
Sector Technology Use Model (ISTUM-
2).
PROMPT will operate on one of the
four fuel demand scenarios specified by
the model operator. Three alternative
scenarios are based on 1985 test cases
produced by Argonne National Labora-
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tory for NAPAP. These three available
cases are:
• NAPAP Low Fuel Price/Economic
Growth Rate
• NAPAP 1985 Reference (Moderate)
Fuel Price/Economic Growth Rate, and
• NAPAP 1985 High Fuel Price/
Economic Growth Rate.
The fourth case is based on the 1986
EEA middle oil price case and the
NAPAP 1985 Low Economic Growth
Rate scenario. The user may also edit
these energy demand files.
The emissions and control cost
module estimates controlled NOX and
SOj emissions and allows the user to
select alternative air pollution control
strategies. The user may edit the
emission rates and/or pollution control
costs.
PROMPT will determine a least-cost
solution for compliance with a selected
air pollution control strategy and
compute the resulting emissions
reduction and incremental costs. When
specifying a control strategy, the user is
asked to choose:
• The type of control strategy (which can
differ for new and existing sources),
and
• The year of implementation (which can
also differ for new and existing
sources)
The control strategy alternatives in
PROMPT that can be applied to either
NOX or S02 emissions are:
• A flat emissions limit (all sources meet
a specified limit in lb/106 Btu),
• A uniform percent reduction (each
emission source has to reduce
uncontrolled emissions by a specified
percentage),
• A specified cost-effectiveness (all
control technologies having a cost-
effectiveness of control less than a
given cost-effectiveness ratio, $/lb,
are adopted), and
• An aggregate emissions reduction
(total uncontrolled emissions are
reduced by a specified amount per
year or percentage, beginning with the
most cost-effective, until the total
reduction is reached).
PROMPT will forecast S02 and sulfate
emissions or it will forecast NOX emis-
sions. It will not forecast emissions for all
three pollutants in the same run. The NO,
emissions forecasts in PROMPT are nol
a function of sulfur emissions contro
strategies. Similarly, S02 and sulfate
emissions forecasts in PROMPT are noi
a function of NOX emissions contro
strategies.
Organization of the Report
This report presents: (1) Installatior
instructions to load PROMPT in i
personal computer, (2) input and outpu
tables, (3) user options, and (4) sampk
outputs.
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Tim Hogan is with Energy and Environmental Analysis, Inc., Arlington, VA 22209.
Larry G. Jones is the EPA Project Officer (see below)
The complete report consists of paper copy and software, entitled, "User's
Manual for the Personal Computer Version of the Process Model Projection
Technique (Version 3.0),"
Paper Copy (Order No. PB 89-151 351/AS; Cost: $15.95)
Software (Order No. PB 89-151 3441 AS; Cost: $65.00, price of software includes
paper copy)
The above items will be available only from: (subject to change)
National Technical Information Service
5285 Port Royal Road
Springfield, VA 22161
Telephone: 703-487-4650
The EPA Project Officer can be contacted at:
Air and Energy Engineering Research Laboratory
U.S. Environmental Protection Agency
Research Triangle Park, NC 27711
United States
Environmental Protection
Agency
Center for Environmental Research
Information
Cincinnati OH 45268
Official Business
Penalty for Private Use $300
EPA/600/S8-88/095
B'
CH1CA60
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