About IECM

The IECM is a computer-model for preliminary design and analysis of clean electricity generation technologies employing fossil fuels. It is intended for use by engineers, researchers, technology developers, and policy analysts to systematically analyze the cost and performance of fossil fuel power plants of various types and emission control designs. The IECM allows users to easily design the plant to be modeled, and to get results quickly for a variety of technology options.

Available Plant Components

The plant components currently available include the following:

Power Plants

Pulverized Coal (PC) Units (sub-, super-, and ultra-super-critical)
Integrated Gasification Combined Cycle (IGCC)
Natural Gas Combined Cycle (NGCC)
Oxygen Combustion (Oxyfuel) System

NO_x Control

Tangential, Wall and Cyclone Firing
Low NO_x Burner (LNB)
Selective Catalytic Reduction (SCR)
Selective Non-Catalytic Reduction (SNCR)
Natural Gas Reburn

SO₂ Control

Acid Gas Removal w/ Sulfur Recovery
Wet Limestone w/Forced Oxidation
Wet Limestone with Dibasic Acid Additives
Lime Spray Dryer
Mg-Lime Process

Particulate Matter Control

Electrostatic Precipitator (ESP)
Reverse Gas Fabric Filter
Reverse Gas Sonic Fabric Filter
Shake and Deflate Fabric Filter
Pulse-jet Fabric Filter

Mercury Control

Activated Carbon Injection (with and without spray cooling)
Intrinsic Capture of Mercury by Other Control Technologies

CO₂ Capture & Storage (CCS)

Amine Capture
Ammonia Capture
Membrane Separation
Water-Gas Shift Reactor
Selexol Scrubber
Chemical Looping
O₂-CO₂ Recycle (Oxyfuel)
CO₂ Compression
Pipeline Transport of CO₂
Utilization for Enhanced Oil Recovery (EOR)
Deep Saline Reservoir Storage

Water and Wastewater Systems

Once-Through Cooling
Wet Recirculating Cooling Tower
Dry Recirculating Cooling Tower
Hybrid Wet-Dry Cooling System
Chemical Water Treatment
Mechanical Water Treatment

Solid Wastes and Byproducts

Landfill Disposal
Ponding Disposal
Byproduct Sales

Probabilistic Analysis

A unique capability of the IECM is that it also allows the uncertainty or variability of performance and cost results to be rigorously characterized using probabilistic analysis. Uncertainties can be analyzed individually or collectively across the entire set of plant components and sub-systems.