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Clear Skies Act Analyses Using IPM V.2.1.6 (2003)

This page provides the IPM run files and parsed files for the 2003 Clear Skies Act Analyses Using IPM V.2.1.6.


EPA 2003 Results Using IPM

The analyses of the Clear Skies Initiative are products of the updated model. Among the factors that make IPM particularly well suited to model multi-emissions control programs are (1) its ability to capture complex interactions among the electric power, fuel, and environmental markets, (2) its detail-rich representation of emission control options encompassing a broad array of retrofit technologies along with emission reductions through fuel switching, changes in capacity mix, and electricity dispatch strategies, and (3) its capability to model a variety of environmental market mechanisms, such as emissions caps, allowances, trading, and banking. Clear Skies is implemented through an emissions cap-and-trade program. Such programs are particularly well suited for modeling using IPM, because they rely on the operation of an allowance market, the availability of a broad range of emissions reduction options, and empowerment of economic actors to achieve emission limits. In particular, cap and trade programs, like the one employed in Clear Skies, work by allocating allowances that permit the emission of limited quantities of pollution during specified periods (e.g., ozone season or annually), permitting sources to choose whether to comply with control requirements by reducing emissions or purchasing allowances from other sources. IPM's ability to capture the dynamics of the allowance market and its provision of a wide range of emissions reduction options are particularly important for assessing the impact of multi-emissions environmental policies like Clear Skies.

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Download IPM Run Files

Clicking on the Run ID in the following table initiates the downloading process. To facilitate downloading, a single zipped archive file is posted for each run. Once downloaded, the files in the zipped archive file can be extracted and decompressed using any of a number of widely available archiving/decompression software programs. Several of the files in the archive are in compressed (i.e., zipped) format and can be decompressed using the same archiving/decompression software.

 

Runs Table for EPA Modeling Applications 2003 Using IPM

Run Name/Description

Run ID

EPA Base Case for 2003 Analyses
SO2: Title IV national annual cap and trade (9.47 million tons through 2009, 8.95 million tons 2010 onward).
NOx: SIP Call region summer cap and trade (473 thousand tons 2005 onward).
State-specific caps in Connecticut, Massachusetts, Missouri, New Hampshire, North Carolina, Texas, and Wisconsin.

EPA216a9c (Zip, 1.9 MB)

 

 

2003 Clear Skies Act
SO2: 4.5 million ton annual cap in 2010 with national trading program and a 3.0 million ton presumptive cap in 2018.
NOx: 2.1 million ton annual cap in 2008 assigned to two Zones with trading programs, and a 1.7 million ton presumptive cap in 2018 assigned to two Zones.
Hg: 26 ton annual cap in 2010 with national trading program, and a 15 ton presumptive annual cap in 2018.
State-specific caps in Connecticut, Massachusetts, Missouri, New Hampshire, North Carolina, Texas, and Wisconsin.

EPA216c3 (1.9 MB)

2003 Clear Skies Act Without Safety Valve

EPA216c1c (1.9 MB)

2003 Clear Skies Act without Safety Valve Using Alternate Assumptions for Natural Gas Price and Electricity Growth

EPA216c11_b (1.9 MB)

2003 Clear Skies Act without Safety Valve Using Alternate Assumptions for Natural Gas Price, Electricity Growth, and EMFs

EPA216c14 (1.9 MB)


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Download 2003 IPM Run Parsed Files

Clicking on the name of the parsed file in the following table initiates the downloading process. The files are posted in one of two formats, a zipped archive file or an Excel spreadsheet. For a description of the content of the each parsed file see the explanation of parsed files.

 

Table of Parsed Run Data for EPA Modeling Applications Using IPM

 

Parsed Run

File Type/Size

EPA Base Case 2003 parsed for year 2010

8.6 MB zipped Excel file

EPA Base Case 2003 parsed for year 2020

35.7 MB zipped Excel file

2003 Clear Skies Act parsed for year 2010

8.3 MB Excel file

2003 Clear Skies Act parsed for year 2020

9.3 MB Excel file

2003 Clear Skies Without Safety Valve Parsed for year 2010

8.5 MB Zipped Excel File

2003 Clear Skies Without Safety Valve Parsed for year 2020

14 MB Zipped Excel File

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Explanation of Parsed Files

EPA Modeling Applications of the Integrated Planning Model produce forecasts for model plants, i.e., clusters of real life units with similar characteristics. A parsed file is an Excel spreadsheet that provides unit-level results derived from the model plant projections obtained by the Integrated Planning Model (IPM). Parsed results are generally only produced for fossil-fuel fired units. Projections for individual plants are based on data currently available and modeling parameters which are simplifications of the real world. It is likely that future actions regarding individual plants will differ from model projections of actions; however, the aggregate impacts are expected to be appropriately characterized by the model.

The following is an explanation of the fields that appear in a parsed file:

Year: The model run year from which the parsed results were derived (usually 2010 or 2020).

Online YearUnique ID: The unique identifier assigned to a boiler or generator within a plant. It consists of the Plant ID (or ORIS Code), an indication of whether the unit is a boiler ("B"), generator ("G"), or committed unit ("C"), and the Unit ID. For example, for the Unique ID "113_B_1", "113" is the Plant ID, "B" indicates that this unit is a boiler, and "1" indicates that the ID of the boiler is 1.

Plant Name: The plant's name.

Plant Type: An indication of the type of unit (e.g., coal steam, combined cycle, IGCC (integrated gasification combined cycle), oil and gas steam, combustion turbine).

Fuel Type: The type of fuel used in the unit for electricity generation (e.g., coal, gas, oil, other).

State Name, State Code, County, County Code: These four fields identify the geographic location of the unit. The State Code is the FIPS State Code, and the County Code is the FIPS County Code. New units have blanks in these columns, while committed units have zeros.

Plant ID: The unique identifier assigned to each plant in the model. Committed units have zeroes in this column, while new units have blanks. Otherwise, all Plant IDs are unique to the plant. All units within a plant will typically have the same Plant ID. The Plant ID is most often the ORIS Code.

Unit ID: The identifier assigned to each unit/boiler in a given plant.

Capacity: The capacity of the unit available for generation for sale to the grid. This capacity reflects the adjustments made to the unit's initial capacity in projections from IPM runs.

Typical July Day Heat Input: The model projects heat input for the summer season. The summer season heat input is used as the basis to estimate an average heat input over the course of a day in July (billion Btu/day).

Typical July Day NOx: The model projects NOx emissions for the summer season. The summer season NOx emissions is used as the basis to estimate typical NOx emissions for July (tons/day).

Firing: For boilers, this field indicates the burner type and configuration (e.g., cyclone, FBC (fluidized bed combustion), stoker/SPR, tangential, or vertical. "Unknown" appears in instances where the burner configuration of a boiler was not known. "Other" appears for units that were not boilers.

Bottom: For boilers, this field indicates distinguishing characteristics of the bottom of the combustion chamber (e.g., dry, wet). Blanks and "Unknown" appears in instances where the bottom characteristics of a boiler were not known. "Other" appears for units that were not boilers.

EMF_Controls: Shows combination of scrubber, NOx post-combustion controls and particulate matter controls that already exists at the unit. Existing NOx Controls - NOx controls that already exists at the unit.

Retrofit Code 1, Retrofit Code 2, Retrofit Control 1, Retrofit Control 2: These columns indicate the emission control technology retrofits that the model projects will be installed on the unit. Note, the model can retrofit units with control technologies at two different stages. Retrofit Code 1 and Retrofit Control 1 show the control technologies installed in stage 1. Retrofit Code 2 and Retrofit Control 2 show the control technologies installed in stage 2. The "Retrofit Control" columns indicate the category of controls installed. The retrofit control may include gas reburn, mercury controls, early retirement, SCR (selective catalytic reduction), SNCR (selective non-catalytic reduction), and scrubber. The "Retrofit Code" columns provide the code for the specific control technology installed. For example, LD01, LO01, LO02, ML01, ML02 are codes for various types of scrubbers. Whenever "scrubber" appears in a "Retrofit Control" column, one of these five codes will appear in the corresponding "Retrofit Code" column. Early retirement, though not a control is treated as a retrofit in the modeling and is therefore included in the column. Early retirement indicates that the model projected the unit to retire early.

Retrofit NOx/SO2 Controls:  Summarizes all of the control technologies that a unit has put on in stage 1 and stage 2. This column combines the information that appears in the Retrofit Control1 and Retrofit Control2 columns. The retrofits are cumulative to the year for which the run is parsed. For instance, if the parsed file is for 2020, it will include all retrofits projected by the model for the unit through 2020.

Fossil Unit?: Indicates whether the unit is fossil-fuel fired.

Summer Fuel Use:  Projected fuel consumed at the unit in May - September (Trillion British thermal units) during the year for which the run was parsed.

Total Fuel Use:  Projected fuel consumed at the unit during the year for which the run was parsed (Trillion British thermal units).

Summer Subbituminous Fuel Use, Total Subbituminous Fuel Use, Summer Bituminous Fuel Use, Total Bituminous Fuel Use, Summer Lignite Fuel Use, Total Lignite Fuel Use: These six columns give the projected coal consumption, by coal rank, during the summer months (May - September) and the year for which the run was parsed (Trillion British Thermal Units).
Summer NOx Emission and Total NOx Emission: Projected NOx emitted from the unit during the summer months (May - September) and year round (Thousand tons) during the year for which the run was parsed.

Total SO2 Emission: Projected annual SO2 emissions during the year for which the run was parsed (Thousand tons).

Total CO2 Emission: Projected annual CO 2emissions during the year for which the run was parsed. (Thousand tons)

Total Hg Emission: Projected annual mercury emissions during the year for which the run was parsed. (Tons).

Some parsed files contain two additional fields:

Online Year: The year in which the unit came online.

Heat Rate: The unit's projected heat rate for the year for which the run was parsed (Btus/KWh).

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