IPM Analysis of the Proposed Carbon Pollution Standards
On September 20, 2013, EPA proposed the Carbon Pollution Standards for New Power Plants. EPA analyzed the proposal using the same version of IPM that was used to analyze the Final Mercury and Air Toxics Rule (MATS). From the MATS page, one can download documentation for IPM v4.10_MATS and the "NEEDS" database of electric generation unit records used in the modeling.
Integrated Planning Model (IPM) Results: IPM Run Files
Download IPM run files for the Proposed Carbon Pollution Standards for New Power Plants analysis using the links in the table below. Click on the IPM run name in the first column of the table below to download a file. The files are posted in one of two formats, a zipped archive or an excel spreadsheet, and contain the following:
- Detailed IPM input and output files (i.e., .DAT, System Summary Report, .RPE, .CAR, and TAC files) for the listed runs. (Guide to content of IPM input and output files)
| IPM Run Name | IPM Run Description |
|---|---|
| EPA Base Case (NSPS) (zip) | Base case model run, including the national Title IV SO2 cap and trade program; NOX State Implementation Plan (SIP) Call regional ozone season cap and trade program; Mercury and Air Toxics Rule (MATS) as finalized in December 2011; Cross-State Air Pollution Rule (CSAPR) as finalized in July 2011; and settlements and state rules through December 2010 impacting SO2, NOX, directly emitted PM, and CO2. This scenario represents conditions with or without the proposed NSPS. |
| High Electric Demand Sensitivity (zip) | The high electricity demand scenario assumes electricity demand grows at an annual average rate of 1.1 percent (compared to about 0.8 percent in the EPA baseline). |
| Low Shale Recovery Sensitivity (zip) | The lower shale recovery scenario assumes that 50 percent less natural gas is recovered from each shale play relative to the base case (effectively lowering shale reserves by 50 percent). |
| High Electric Demand and Low Shale Recovery Sensitivity (zip) | A combination of the two assumptions listed above. |