Air and Climate Change Research
Integrated Air Pollution Control System (IAPCS) Cost Model
The IAPCS model is a compiled model written in FORTRAN and C language which is designed to be used on an IBM or compatible PC with 640K or lower RAM and at least 1.5 Mb of hard drive space. It was developed over the past several years, and different parts of the model have been updated at different times and are subject to different levels of confidence.
Model output includes: a preliminary design, material balance, emission summary, capital cost estimate, and annualized cost estimate (including capital charges and operation and maintenance expense) for about 16 control technologies (and combinations of these) applicable to coal-fired power plants ranging in size from 100-1300 Mwe of electric generating capacity. Costs are output in any year dollars (cost indexes and inflation rates are used) as first year and levelized costs and cost per unit of pollutant reduced.
Model input includes: boiler characteristics, coal analysis, desired pollution control technologies, pollution control design criteria, and economic assumptions. The model has about 300 variables; however, all except the desired pollution control technology have default values in the model's parameter file so that a user need only supply those units that are necessary for a particular analysis.
The Model will estimate costs for the following technologies:SO2 Control
- wet flue gas desulfurization
- lime spray drying
- advanced silicate process (ADVACATE)
- coal supply option
- lime injection with dry sorbent injection
- low NOx combustion
- natural gas reburning
- selective catalytic reduction (SCR)
- selective non-catalytic reduction (SNCR)
- electrostatic precipitator
- fabric filter
- gas conditioning (humidification and SO3)
- atmospheric and pressurized fluidized-bed combustion
- integrated gasification combined cycle
Potential users of the model may include pollution control regulators, architect/engineering companies, utility companies, public utility commissions, and legislators. The model can best be used to obtain preliminary cost estimates for control technologies, to conduct cost comparisons on a common basis, and to conduct sensitivity studies, e.g., how costs are affected by given changes in particular variables.