State EPS Methodology
Updated: September 2024
The state Energy Policy Simulators (EPS) account for emissions produced in the following sectors: electricity generation, building energy consumption, industrial energy consumption, industrial process emissions, agriculture process emissions, land use change, and transportation. Our primary sources are federal data sets from the Environmental Protection Agency (EPA), Energy Information Administration (EIA), and the National Renewable Energy Lab (NREL).
The information below details our basic modeling assumptions, data sources, and methodology by sector. Additionally, we include information on the business-as-usual (BAU) and Nationally Determined Contribution (NDC) scenario assumptions.
Basic Model Assumptions
- AR5 GWP Values
- Model runs from 2021-2050
- Policies can be applied starting in 2024
- State models account for funding and tax credits included in the Inflation Reduction Act.
- We have tried to incorporate the latest state policy but some specific sectoral policies may be missing, especially if they principally affect energy demand. All Clean Energy Standards (including electricity standards and renewable portfolio standards), Advanced Clean Cars, Advanced Clean Cars II, Advanced Clean Trucks, carbon pricing, and electric vehicle subsidies policies passed before August 2024 have been included in the model.
The following information supplements the general EPS model information by summarizing sources for state energy consumption and emissions data in the state versions of the EPS tool.1
Data Sources Summary
| Sector | Subsectors | Source |
|---|---|---|
| Electricity | In-state capacity and generation ; out of state imports | For capacity and generation: EIA's Form 923 and EIA's Form 860. For imports/exports: EIA's State Electricity Profiles (https://www.eia.gov/electricity/state/) |
| Building Energy Use | All energy use, all building components, residential and commercial buildings | EIA's State Energy Data Systems from 2021 |
| Industrial Energy Use | All fuel use for industrial sector | EIA's Annual Energy Outlook tables on Industrial Energy Use & EIA's State Energy Data Systems |
| Industrial Process Emissions | Agriculture and industrial process emissions | U.S. State-level Non-CO2 GHG Mitigation Report |
| Land Use | Natural carbon sinks and sources (LULUCF) | EPA's State GHG Emissions and Removals 2021 Inventory Report |
| Transportation | All energy use, vehicle miles | EIA's State Energy Data Systems from 2021, Energy Information Association's Annual Energy Outlook tables on Industrial Energy Use & NREL Electrification Futures Study - Reference Scenario |
Methods by Sector
Buildings
Source:Total building sector energy consumption data for all fuels was obtained from the U.S. Energy Information Association's State Energy Data System (SEDS) 2021 estimates for residential and commercial building energy use.2
Methods: To split total energy consumption among different building end uses, including heating, lighting, cooking, etc, we used the energy consumption estimates by end use from the 2017 NREL Electrification Futures Study.3 The 2017 NREL study's reference scenario was also used to forecast future energy use. Total energy flows in the start year (2021) for each energy type (e.g. electricity, natural gas) are aligned to the SEDS most updated values for energy consumption in the residential/commercial buildings sectors.
BAU Policy Assumptions:NREL's reference scenario includes some business-as-usual fuel switching from gas to electric appliances and those assumptions are built into the model. It also includes some estimated improvements in technological efficiency. See the NREL study for more information.4 As we rely on NREL data for scaling future consumption, state policy may not always be incorporated.
Calibration:Building sector energy consumption was checked against EIA's estimates for 2021. Emissions were calibrated using EPA's 2010 State Inventories and Rhodium's Climate Deck.5,6
Industry Energy
Source: Total industry sector energy consumption data for all fuels was obtained from the U.S. Energy Information Administration's SEDS 2021 estimates for fuel type by industrial sector. 7
Methods: To split SEDS value (fuel type by industrial sector) to industrial subsector, we proportion it using the product of (1) the EPS variable "BAU Output by ISIC Code," which gives monetized industrial output for each ISIC code, and (2) Energy Intensity Manufacturing Energy Consumption Survey (MECS) data8. We develop regional energy intensity multipliers that convert output to energy inputs, which are then scaled to align with the SEDS data.
BAU Policy Assumptions: We use the Annual Energy Outlook Reference Case to project annual growth rates for industrial energy use by industry.
Calibration: Industry sector energy consumption was checked against EIA's estimates for 2021. Emissions were calibrated using EPA's 2021 State Inventories and Rhodium's Climate Deck.9,10 Note that differences between EPA and EPS findings for total energy-related industrial emissions may be due to different assumptions regarding the percent of industrial fuels used for non-energy purposes. A detailed breakdown of assumptions regarding non-energy fuel use can be found by downloading the state EPS model data.
Industry Process
Source: Industrial process emissions estimates for CH4, N2O, and F-gasses are taken directly from EPA's State-level Non-CO2 Greenhouse Gas Mitigation Report.11 The report includes forecasted estimates of both emissions and mitigation potential. CO2 process emissions data is taken from EPA's 2021 state inventory data and held constant through 2050.12 Some customizations were required to address data issues flagged by EPA.
Methods: 2021 process emissions data is from EPA's 2021 state inventory and all future years are from EPA's State-level Non-CO2 Greenhouse Gas Mitigation Report. We hold CO2 process emissions constant from 2021-2050. For iron and steel emissions, we found EPA data to be inconsistent when compared to state-level inventories. Iron and steel emissions were calculated by taking total US iron and steel GHG emissions and dividing them among states using facility level emissions reported in the FLIGHT tool.13
BAU Policy Assumptions: F-gas emissions are assumed to be reduced in compliance with the American Innovation and Manufacturing Act.14
Calibration: Emissions were calibrated using EPA's 2021 State Inventories and Rhodium's Climate Deck.15,16
Electric Power
Source: Electricity capacity is from EIA's 860 report on state generators from 2019.17 Forecasted capacity retirements and new construction are from EIA's Electric Power Monthly.18 Capacity factors are derived from EIA's 860 and EIA's 923 reports for existing power plants.19 For new power plants, the model uses capacity factor data from Gridlab.20 Estimated imports and exports are from EIA's State Electricity Profiles from 2021.21
Methods: Electricity generation is forecasted endogenously by the EPS model based on existing capacity, estimated demand, and electricity generation costs.
BAU Policy Assumptions:Individual state renewable portfolio standards are included in the state models. Federal tax credits (prior to IRA) are included as well.
Calibration:Emissions were calibrated using EPA's 2021 State Inventories and Rhodium's Climate Deck.22,23
Transportation
Source:Total transportation sector energy consumption data for all fuels was obtained from the U.S. Energy Information Association's State Energy Data System 2021 estimates for transportation energy use.24 Start year vehicles by vehicle type are from NREL's Electrification Futures Study.25
Methods: To split total energy consumption among different vehicle types, including passenger LDVs, buses, freight trucks, rail, etc, RMI used the energy consumption estimates by end use from the 2017 NREL Electrification Futures Study.26 Future demand was forecasted using EIA's 2022 Annual Energy Outlook.27 Note that natural gas use in the SEDS transportation data is predominately due to oil and gas pipeline transport and was reallocated to the industrial sector.
BAU Policy Assumptions: Fuel economy assumptions account for the most recent EPA/NHTSA tailpipe CO2 and fuel economy standards. If a state has an existing zero emissions vehicle subsidy, those subsidies are included in the BAU modeling. Vehicle sales are estimated using forecasted vehicle prices which results in some economic adoption of electric vehicles. Modeling includes states with ZEV sales requirements.
Calibration: Transportation sector energy consumption was checked against EIA's estimates for 2021. Emissions were calibrated using EPA's 2021 State Inventories and Rhodium's Climate Deck.28,29
Land Use
Source: Total land use emissions estimates are from EPA's 2021 State Inventory data.30
Methods: Values are held constant.
BAU Policy Assumptions: None
Calibration: Emissions were calibrated using EPA's 2021 State Inventories and Rhodium's Climate Deck.31,32
January 2025 Frozen Policies
Inflation Reduction Act/ Bipartisan Infrastructure Law Assumptions
| Provision Location | Provision Name | Methods |
|---|---|---|
| 13101 | Extension and Modification of Credit for Electricity Produced from Certain Renewable Resources | The estimated total expenditures per kilowatt of plant capacity (CAPEX) was decreased for each state to account for the ITC and PTC. To account for the ITC, the state CAPEX was decreased by 35%, which represents the average percentage of project cost that ITC is expected to cover. To account for the PTC, we assume an average subsidy of 3.035 cents/kWh. The credits are applied to hydro, onshore wind, solar PV, geothermal, and offshore wind projects. It is also applied to nuclear projects beginning after 2025. |
| 13102 | Extension and Modification of Energy Credit | See 13101 |
| 13103 | Increase in Energy Credit for Solar and Wind Facilities Placed in Service in Connection with Low Income Communities | We downscale the annual growth of 1.8 GW by the ratio of distributed solar in the state in 2020 to distributed solar nationally in 2020. We apply the increase in distributed solar MW beginning in 2023. |
| 13104 | Extension and Modification of Credit for Carbon Oxide Sequestration | We found the percentage growth of carbon capture relative to BAU from a Rhodium study that evaluated extended 45Q tax credits to model the potential in industry. We then linearly phase in the growth rates from Rhodium's "Low Scenario" between 2023 and 2035 at the national level. For the industry sector, we increase direct air capture potential (metric tons/year) in the state by the ratio of state to national industrial energy use. |
| 13201 | Extensions of Incentives for Biodiesel, Renewable Diesel and Alternative Fuels | We assume that applicable fuelswill be 50% less carbon intensive and apply the following schedule in economy-wide MMT reductions for each state: • 2023: 0.03 • 2024: 0.06 • 2025: 0.09 • 2026: 0.11 • 2027: 0.05 |
| 13202 | Extension of Second Generation Biofuel Incentives | See 13201 |
| 13203 | Sustainable Aviation Fuel Credit | See 13201 |
| 13204 | Clean Hydrogen | Beginning in 2023, shifted production share of natural gas reforming to electrolysis according to EI's growth across industries for their low scenario. |
| 13301 | Extensions, Increase, and Modifications of Nonbusiness Energy Property Credit (25C) | We reference ACEEE research on the number of heat incremental heat pumps that would be deployed in a scenario with unconstrained rebates for heat pumps (through 2032, the last year of available credits). We adjust that value by the ratio of the $2,000 incentive cap for heat pumps in this section to ACEEE's assumed incentive value. We then calculate the average natural gas consumption per unit using data from EIA's Annual Energy Outlook and apply these savings in the model. Finally, we implement the additional electricity demand (calculated using the average efficiency of heat pumps). We then scale energy savings to the state by applying the fraction of state residential building consumption in 2020 (TBtu) to national residential building consumption in 2020 (TBtu). Natural gas and electricity values are mapped to urban and residential heating. |
| 13302 | Residential Clean Energy Credit (25D) | At the national level, we directly implement ACEEE research on expected natural gas and electricity savings from this program. We then scale energy savings to the state by applying the fraction of state residential building consumption in 2020 (TBtu) to national residential building consumption in 2020 (TBtu). Electricity savings were mapped to urban and rural residential cooling. Natural gas savings were mapped to urban and rural residential heating. We also scale energy savings to the state aby applying the fraction of state commercial building consumptionin 2020 (TBtu) to national commercial building consumption in (2020). Electricity savings were mapped to commercial cooling and natural gas savings were mapped to commercial heating. |
| 13303 | Energy Efficient Commercial Buildings Deduction (179D) | See 13302 |
| 13304 | Extensions, Increase, and Modifications of New Energy Efficient Home Credit (45L) | See 13302 |
| 13401 | Clean Vehicle Credit | Added the weighted average difference between BAU and IRA low scenario to increase sales of passenger LDVs beginning in 2023. Low scenario taken from Energy Innovation's National Analysis. |
| 13403 | Qualified Commercial Clean Vehicles | Applied credit caps directly to sale of all commercial vehicles. The credit caps are $7500 for freight LDVs and $40000 for freight HDVs. |
| 13404 | Alternative Fuel Refueling Property Credit | Changes made: adjusted trans/BRAaCTSC to drop the shadow cost of in $/vehicle according to EI's low reduction from the Senate Reconciliation spreadsheet. No downscale of shadow costbecause it's a percentage reduction |
| 13701 | Clean Electricity Production Credit | See 13101 |
| 13702 | Clean Electricity Investment Credit | See 13101 |
| 13703 | Cost Recovery for Qualified Facilities, Qualified Property, and Energy Storage Property | See 1301 |
| 13704 | Clean Fuel Production Credit | See 13201 |
| 50121 | Home Energy Performance-Based, Whole-House Rebates | At the national level, we directly implement ACEEE research on expected natural gas and electricity savings from this program, scaling by the ratio of actual funding to ACEEE's funding assumptions and adjusting so that total spend occurs across 2023-2031. We then scale energy savings to the state by applying the fraction of state residential building consumption in 2020 (TBtu) to national residential building consumption in 2020 (TBtu). Electricity savings were mapped to urban and rural residential cooling. Natural gas savings were mapped to urban and rural residential heating. |
| 50122 | High-Efficiency Electric Home Rebate Program | At the national level, we directly implement ACEEE research on expected natural gas and electricity savings from this program, scaling by the ratio of actual funding to ACEEE's funding assumptions and adjusting so that total spend occurs across 2023-2031. We then scale energy savings to the state by applying the fraction of state residential building consumption in 2020 (TBtu) to national residential building consumption in 2020 (TBtu). Natural gas and electricity values are mapped to urban and residential heating. |
NDC Scenario
The state models include a default version of the US Nationally Determined Contribution (NDC) scenario. This scenario includes the following policies:
Policy Assumptions in the US NDC Scenario
| Sector | NDC Scenario |
|---|---|
| Electricity | • Clean Electricity Standard of 80% by 2030, 100% by 2035 • Accelerated deployment of storage, transmission, and demand response • No new construction of coal and natural gas plants • Power plant retirements eliminate coal by 2030 • Electricity Sector CCS applied to remaining gas plants run for occasional balancing and reliability by 2050 |
| Buildings | • 100% electric new appliances and buildings by 2030 ("building component electrification") • 15% of existing buildings are retrofit by 2050, in addition to natural turnover • Efficiency improvement with ambition extended to 2050, plus additional efficiency improvements for building heating equipment and appliances |
| On-Road Transportation | • 100% electric new light-duty vehicle, motorbike, and bus sales by 2035 • 100% electric new medium- and heavy-tuy truck sales by 2045 • 60% improvement in fuel economy standards for internal combustion engine light-duty vehicles by 2035, as well as a 50% improvement for buses, a 50% improvement for medium- and heavy-duty freight vehicles, a 60% improvement for aircraft, and a 25% improvement for rail and ships • 10% light-duty vehicle miles traveled reduced or shifted from BAU by 2050 • 3% reduction in truck freight transport by 2050 |
| Industry | • 100% achievement of cement clinker substitution by 2030 • 100% achievement of HFC emissions reductions from the Kigali Amendment to the Montreal Protocol • 14% improvement in industrial energy intensity/efficiency by 2050 • 100% by 2050 shift from fossil fuels to a mix of electricity and hydrogen, varying by industrial potential for each fuel type, by 2050 • 10% reduction in cement demand and 15% reduction in iron and steel demand from improved material efficiency policies by 2050 • 100% achievement of potential emissions reductions from methane capture and destruction in natural gas and oil, coal mining, water, and waste sectors by 2030 • 100% of hydrogen is produced via electrolysis by 2050 • Industrial CO2 emissions captured and sequestered through CCS by 2050 for refining, chemicals, cement, iron and steel, and energy processing sectors |
| Land use/ Agriculture | • 100% achievement of potential additional carbon uptake from afforestation/reforestation measures by 2030 • 100% achievement of improved soil measures, cropland measures, and livestock measures (such as requiring anaerobic digesters) by 2050 • 50% achievement of carbon reduction from improved forest management by 2050 |
Linear implementation of policy requirements unless noted otherwise starting in 2023.
Federal Policy Repeal and Rollback Scenario
Modeled Scenario
State models now feature a Federal Policy Repeal and Rollback scenario representing the potential emissions, economic, and health impacts of repealing federal policies. The scenario is measured against the Current Policies scenario, which includes the Inflation Reduction Act (IRA), the Infrastructure Investment and Jobs Act (IIJA) and the CHIPS and Science Act, as well as finalized rules from the U.S. Environmental Protection Agency, including oil and gas methane standards; tailpipe CO2 standards for light-, medium-, and heavy-duty vehicles; and power plant CO2, mercury, and effluent rules. It also includes any state-level renewable portfolio or clean energy standards; state carbon pricing schemes; building electrification, appliance, and efficiency standards; low carbon fuel standards; EV rebates and subsidies; and adoption of Advanced Clean Cars I and II and Advanced Clean Trucks.
This guide details how each of the Repeal Scenario model settings correspond to individual policies. Users exploring variations of the Repeal Scenario can start with the full scenario available on the publicly available web application, then toggle off any policy settings they would like to maintain rather than repeal. To toggle off policy settings, navigate to the policy names identified below and move the slider bar to a value of 0 or OFF. The value selected in the policy slider bar represents the maximum policy setting over the course of the model run (with the values in all other model years set by the Customize Implementation Schedule dropdown for that policy). A value of 0 represents no policy impact relative to the Current Policies scenario.
Alternatively, users can refer to the settings from any of the policies outlined below to help build a new scenario – for example if they want to examine the impact of only one or two of the modeled provisions. To do this, users should copy in both the slider bar settings for the policies of interest and the policy implementation schedule values, which can be found under each policy’s Customize implementation schedule feature.
The Current Policies and Repeal scenarios do not capture every provision of the Inflation Reduction Act, though we believe we have included all components that, standalone, have a material effect on emissions and spending. For a full accounting of the methodology for the Inflation Reduction Act in both scenarios, see the Appendix to EI’s Inflation Reduction Act Repeal report.
Inflation Reduction Act
30D passenger vehicle tax credits
Passenger vehicle tax credits are modeled with the EPS Transportation policy Passenger Vehicle Subsidy for the Cars and SUVs vehicle type. The Repeal Scenario settings are negative because the incentive per vehicle is less than in the Current Policies scenario. The Repeal Scenario values represent a weighted average tax credit each year based on what fraction of new passenger car and SUV sales would meet the applicability and eligibility requirements for the 30D credit. In addition, the Repeal Scenario value for passenger Cars and SUVs includes the 45W tax credit for the share of new electric vehicles that are leased (see below). Because roughly 40 percent of new electric vehicles are now leased, and because the 30D credits have more stringent applicability and eligibility requirements than the 45W credits, the 45W contribution to the weighted average tax credit value used in the Repeal Scenario is larger than the 30D contribution.
If you wish to turn off only 30D credit repeal assumptions and not modify 45W tax credits for commercial vehicles, be sure to leave the checkboxes checked for only Cars and SUVs before moving the policy slider bar and implementation schedule values to those shown in the Modeling 45W repeal only case below. To turn off both 30D and 45W tax credits for passenger Cars and SUVs, move the policy slider bar to a value of $0. A value of 0 represents no policy impact relative to the Current Policies scenario.
| Policy Slider Bar Setting for Passenger Cars and SUVs | |
|---|---|
| Modeling 30D repeal only | -$1164 |
| Modeling 45W repeal only | -$2306 |
| Year | Implementation Schedule Value: Modeling 30D Repeal Only | Implementation Schedule Value: Modeling 45W Repeal Only |
|---|---|---|
| 2021 | 0% | 0% |
| 2024 | 0% | 0% |
| 2025 | 100% | 100% |
| 2026 | 86.6% | 100% |
| 2027 | 27.0% | 100% |
| 2028 | 37.2% | 100% |
| 2029 | 48.0% | 100% |
| 2030 | 59.5% | 100% |
| 2031 | 70.4% | 100% |
| 2032 | 81.7% | 100% |
| 2033 | 0% | 0% |
| 2050 | 0% | 0% |
45W commercial vehicle tax credits
Commercial vehicle tax credits for leased passenger vehicles are modeled as part of the EPS Transportation policy Passenger Vehicle Subsidy for the Cars and SUVs vehicle type (see above for how this is combined with the 30D vehicle tax credits), and credits for buses use the Buses vehicle type. Credits for trucks are modeled with the Freight Vehicle Subsidy for the Light and Medium Commercial Trucks and Heavy Duty Trucks vehicle types. The Repeal Scenario settings are negative because the incentive per vehicle is less than in the Current Policies scenario. We weight the credit for the light and medium duty truck vehicle types based on the share of new sales that qualify for a $40,000 vs. $7,500 credit.
If you wish to turn off only 45W credit repeal assumptions and not modify 30D tax credits for commercial vehicles, be sure to leave the checkboxes checked for only Cars and SUVs before moving the policy slider bar and implementation schedule to the values listed to those shown in the table above for the Modeling 30D repeal only case. Then separately, uncheck Cars and SUVs and select only the Buses vehicle type before moving the policy slider bar to $0. A value of 0 represents no policy impact relative to the Current Policies scenario.
45Y/48E tax credits for clean electricity
The Current Policies scenario includes 45Y clean electricity production tax credits for onshore wind and for solar PV (after 2024), and 48E investment tax credits for solar PV (through 2024), solar thermal, offshore wind, geothermal, and grid battery storage. The Repeal Scenario uses the Cross-Sector policy End Exisiting Subsidies to remove 100 percent of the tax credit value for each of the EPS power plant types. Because grid battery storage is handled separately in the EPS, those credits are removed using a negative value for the Electricity Supply policy Subsidy for Grid Battery Capacity. If you wish to turn off only these credits, be sure to leave the checkbox checked for only Wind, Solar, and Geothermal before moving the policy slider bar to 0. Note that for the Wind toggle includes both 45Y for onshore wind and 48E for offshore wind, and the Solar toggle includes both 45Y for solar PV and 48E for solar thermal. A value of 0 represents no policy impact relative to the Current Policies scenario.
45U zero-emission nuclear power production tax credit
The Current Policies scenario includes support for existing nuclear power plants through the tax credit window of 2024 to 2032. The Repeal Scenario removes these credits with the Cross-Sector policy End Exisiting Subsidies. If you wish to turn off only this credit, be sure to leave the checkbox checked for only Nuclear before moving the policy slider bar to 0. A value of 0 represents no policy impact relative to the Current Policies scenario.
45Q tax credits for carbon capture and sequestration
The Current Policies scenario includes 45Q tax credits for CCS, which affects both the electricity and industry sectors in the model. The Repeal Scenario removes 45Q tax credits for electricity using negative values for the Electricity Supply policy Electricity CCS Subsidy.
The EPS does not endogenously deploy cost-effective CCS in the industry sector like it does in the electricity sector. Therefore, the model removes 45Q tax credits by substituting in alternate input data files for the amount of CCS achieved by industry category and the incentive amount that is used for cash flow tracking. You may toggle this assumption on and off by using the Industry policy Non BAU Industry CCS Subsidy. Note that the Repeal Scenario only uses settings for the industry categories that use CCS in the Current Policies scenario, which are Oil and Gas Extraction, Refined Petroleum and Coke, Cement and Other Nonmetallic Minerals, and Iron and Steel. The OFF setting represents no policy impact relative to the Current Policies scenario.
45X advanced manufacturing production tax credit
The Current Policies scenario includes special handling for battery production tax credits in both the electricity and transportation sectors, and also manually adjusts energy demand from the Annual Energy Outlook based on our own calculations for all other technologies.
The Repeal Scenario uses negative values for the Electricity Supply policy Subsidy for Grid Battery Production and for the Transportation policy Subsidy for Vehicle Battery Production. A value of 0 represents no policy impact relative to the Current Policies scenario.
The scenario does not attempt to remove tax credits for the other technologies as they do not map cleanly onto an existing model policy lever. However, the effect of these credits is relatively small within the modeled repeal package.
45V clean hydrogen production tax credit
The Current Policies scenario handles clean hydrogen production tax credits by reading in external calculations estimating the share of existing hydrogen production that is shifted to electrolysis due to tax credits and the associated change in hydrogen price. The model assumes that to be eligible for the credit, hydrogen electrolysis must be powered by dedicated, newly-built renewables.
The Repeal Scenario removes the tax credits via a few different levers. First, the Cross-Sector policy End Existing Subsidies lever corrects the hydrogen price for cash flow tracking. If you wish to turn off only this credit, be sure to leave the checkbox checked for only Hydrogen before moving the policy slider bar to 0. Together, the District Heat and Hydrogen policies; Shift Hydrogen Production Pathways and Non BAU Hydrogen Production Shifting set the additional electrolysis incentivized by 45V tax credits back to the default assumption of steam methane reforming.
Support for distributed solar (Solar for All program and 25D rooftop solar tax credit)
The Current Policies scenario handles expected distributed solar deployment attributed to the IRA in a single input data file and therefore a single policy lever. Therefore, removing the Repeal Scenario settings will cover distributed solar deployment from both the Solar for All component of the Greenhouse Gas Reduction Fund and 25D rooftop solar tax credits.
Distributed solar is not a dedicated power plant type in the electricity sector and is handled in the EPS buildings sector instead. The amount of distributed solar in the Current Policies scenario is dictated through external input data, and so the most accurate way to remove this deployment is by substituting in an alternate input data file. You can revert to the default Current Policies level of distributed solar deployment with the Buildings and Appliances policy Non BAU Distributed Solar Capacity. The OFF setting represents no policy impact relative to the Current Policies scenario.
30C alternative fuel vehicle refueling property tax credit
The Current Policies scenario takes in expected charger deployment due to 30C credits, which we calculate outside the model, using input data. This value is fed into the model’s calculations on the shadow cost applied to passenger electric vehicles, which represents a penalty in the vehicle choice calculations for range and charging availability concerns.
The Repeal scenario removes the additional charger deployments with a negative setting for the Transportation policy Electric Vehicle Charger Deployment. A value of 0 represents no policy impact relative to the Current Policies scenario.
Agricultural conservation investments and conservation technical assitance
The Current Policies uses marginal abatement cost curve data from the EPA to translate IRA funding for agricultural programs into expected GHG abatement, which is then removed from agricultural emissions.
The Repeal Scenario removes this support by reading in an alternate input data file that specifies the amount of increased agricultural process emissions relative to the Current Policies scenario in each cost tier, which modifies both agricultural emissions and cash flows. This is handled in the Industry policy Non BAU Increase in Process Emissions. If you wish to turn off only this program, be sure to leave the checkbox checked for only Cropland and Rice Measures and Livestock Measures before moving the policy slider bar to 0. The OFF setting represents no policy impact relative to the Current Policies scenario.
Note the we do not have the necessary data to incorporate these agricultural programs into the state level EPS models and therefore only include these in the national U.S. model.
Forest system restoration and forestry conservation programs
The Current Policies scenario uses marginal abatement cost curve data from the EPA to translate IRA funding for forestry programs into expected GHG abatement, which is then removed from LULUCF emissions.
The Repeal Scenario removes this support by reading in negative values for the Agriculture, Land Use, and Forestry policies Afforestation and Reforestation and Improved Forest Management. A value of 0 represents no policy impact relative to the Current Policies scenario.
Note the we do not have the necessary data to incorporate these agricultural programs into the state level EPS models and therefore only include these in the national U.S. model.
EPA Rules
111 Clean Air Act rules, Mercury and Air Toxics standards, and Steam Electric Power Generating Effluent Guidelines for power plants
The Current Policies scenario incorporates recent EPA 111, MATS, and ELG rules by reading in expected coal retirements and retrofits using EPA’s Integrated Planning Model analysis used in its 111 Regulatory Impact Assessment. It also modifies the expected capacity factor for new natural gas combined cycle plants starting in 2032.
The Repeal Scenario reads in alternate data files for expected coal retirements and retrofits using the Electricity Supply policies BAU Non BAU Capacity Retirement Schedule and Non BAU Mandated Capacity CCUS Retrofits. Setting these levers to OFF represents no policy impact relative to the Current Policies scenario.It also removes capacity factor requirements for new gas using a negative value for the Electricity Supply policy Reduce Plant Downtime. A value of 0 represents no policy impact relative to the Current Policies scenario.
Tailpipe emission standards for light-, medium-, and heavy-duty vehicles (model years 2027 and later)
The Current Policies scenario incorporates EPA’s recent tailpipe emission standards by reading in zero-emission vehicle (ZEV) sales requirements for the relevant EPS vehicle types, and uses EPA’s Regulatory Impact Assessments to find the binding ZEV requirements in each year.
The Repeal Scenario removes these federal requirements with negative values for the Transportation policy Federal Zero-Emission Vehicle Sales Standard. A value of 0 represents no policy impact relative to the Current Policies scenario. Note that state-level ZEV requirements are handled separately, as shown in the California’s Clean Air Act waiver section below.
California’s waiver to set its own tailpipe emission standards under the Clean Air Act
The EPA granted California a waiver to set its own, stricter vehicle tailpipe emission standards, which other states can opt to follow. To date, twelve additional states and the District of Columbia have adopted California’s Advanced Clean Cars II rules, and nine additional states have adopted California’s Advanced Clean Trucks rules.
The EPS reads in input data capturing ZEV requirements for each vehicle type and the share of national sales for each U.S. state in the Current Policies scenario. The Repeal scenario uses an alternate input data files that sets the state level ZEV requirements for all vehicle types to 0 for every state. This is handled with the Transportation policy Non-BAU Zero-Emission Vehicle Sales Standard by State. Note that federal tailpipe emission standards are handled separately. The OFF setting represents no policy impact relative to the Current Policies scenario.
Methane emission rules for oil and natural gas operations
The EPA issued rules limiting methane emissions from new and existing oil and natural gas operations. The Current Policies scenario uses EPA’s Regulatory Impact Assessment and its separate marginal abatement cost curve data set to translate these rules into expected GHG abatement and costs, which is then removed from baseline emissions.
The Repeal Scenario removes these rules by reading in an alternate input data file that specifies the amount of increased methane emissions for both the Oil and Gas Production and Oil and Gas Processing industry categories relative to the Current Policies scenario in each cost tier, which modifies both agricultural emissions and cash flows. This is handled in the Industry policy Non BAU Increase in Process Emissions. If you wish to turn off only this program, be sure to leave the checkbox checked for only the Oil and Gas boxes before moving the policy slider bar to OFF.
State-level Policies Included in State Models
| Sector | Policies | State(s) |
|---|---|---|
| Electricity | Clean Energy and Electricity Standards/Plans | CA - SB 100 CO - Clean Energy Plan NC - Clean Energy Plan NJ - Executive Oder No. 28 NY - 10-Point Action Plan RI - Clean Energy Plan WI - Energy Plan and Executive Order #38 |
| Electricity | Geothermal | CO - HB23-1272 |
| Buildings | Appliance and Equipment Energy and Efficiency Standards, and Energy Code | CA - Code of Regulations Title 20 CO - HB23-1161 and HB22-1362 MA - MA S9 MD - HB 772 MN - HF 3911 NH - NH Rev Stat § 339-G:3 NJ - A5160 NY - NY A 10439 and A3006 NV - AB 383 RI - S 0339A VT - 9 V.S.A. chapter 74 WA - Washington State 2021 Energy Code, Clean Buildings Performance Standard, and Appliance Efficiency Standards |
| Buildings | Building Performance Standard | CO - HB21-1286 MD - SB 528 NY - NYC Local Law 97 and Build Smart 2025 |
| Transportation | Low Carbon Fuel Standard | CA - SB 348 OR - SB 324 WA - Washington Clean Fuel Standard |
| Industry | Oil, Gas, Methane | CA - SB 613 CO - AQCC regulations 7 and 22, SB22-198 LA - LAC 43:XIX.103, 3503, 3507, 3509, and 3511 MA - 310 CMR 7.73 MD - COMAR 26.11.41 and COMAR 26.11.42 NM - 19.15.27 NMAC OR - DEQ 16-2021 PA - Regulation #7-580 WA - 173-408 WAC |
| Industry | HFCs | CA - SB 1206 CO - AQCC Regulation 22 MA - 310 CMR 7.76 NJ - NJ A5583 WA - HB 1112, HB 1050 |
| Industry | Cement and Concrete | CA - SB 596 |
| Industry | Industrial Facilities | CO - GEMM Phase I & II rulemaking, HB21-1272 |
| Industry | Hydrogen | CO - HB23-1281 |
| Industry | Supply Chain | CO - HB22 – 1355 |
| Land Use, Agriculture, Waste | Agriculture | WA - SB 5947 & SB 6306 |
About Us
The Energy Policy Simulator is a non-partisan, open-source, and peer-reviewed model. The EPS was developed to evaluate the impacts of climate and energy policies on emissions, costs and savings, and fuel consumption. It is used by policymakers to select and refine climate legislation and standards. For example, the EPS model was used to assess the impact of climate policies for the U.S. House Select Committee on the Climate Crisis.33 EPS users input climate policies and the model then analyzes interacting policy impacts to forecast environmental and economic outcomes. The model generates a variety of data outputs including greenhouse gas emissions, criteria pollutant emissions, capital and operating cash flow changes, and macroeconomic changes to GDP and jobs. RMI and Energy Innovation Policy & Technology LLC® are releasing EPS models for all 48 contiguous U.S. states.
The EPS model is available for download online here.34 Full documentation on methodology and assumptions are available online here.35
Contact Us
If you have questions about using the EPS, we recommend first watching our video series, available here.36 For further information on the EPS, contact us at policy@energyinnovation.org. For more information on RMI analysis and our state advocacy support network contact us at USAnalysis@rmi.org.
The US state EPS models were developed as a partnership between Energy Innovation® and Rocky Mountain Institute (RMI), with RMI work supported by Bloomberg Philanthropies.
1: "Energy Policy Simulator Documentation," Energy Innovation Policy & Technology LLC, accessed January 5, 2023, https://docs.energypolicy.solutions/.
2: "State Energy Data System (SEDS)," U.S. Energy Information Administration, accessed January 5, 2023, https://www.eia.gov/state/seds/.
3: "Electrification Futures Study: End-Use Electric Technology Cost and Performance Projections through 2050," National Renewable Energy Laboratory, 2017, https://www.nrel.gov/docs/fy18osti/71500.pdf.
4: "Electrification Futures Study: End-Use Electric Technology Cost and Performance Projections through 2050," National Renewable Energy Laboratory, 2017, https://www.nrel.gov/docs/fy18osti/71500.pdf.
5: "State Greenhouse Gas Emissions and Removals," U.S. Environmental Protection Agency, accessed January 5, 2023, https://www.epa.gov/ghgemissions/state-ghg-emissions-and-removals.
6: "The Climate Deck," Rhodium Group, accessed January 5, 2023, https://rhg.com/data_story/climate-deck/.
7: "State Energy Data System (SEDS)," U.S. Energy Information Administration, accessed January 5, 2023, https://www.eia.gov/state/seds/.
8: "Manufacturing Energy Consumption Survey (MECS)," U.S. Energy Information Administration, accessed January 5, 2023, https://www.eia.gov/consumption/manufacturing/.
9: "State Greenhouse Gas Emissions and Removals," U.S. Environmental Protection Agency, accessed January 5, 2023, https://www.epa.gov/ghgemissions/state-ghg-emissions-and-removals.
10: "The Climate Deck," Rhodium Group, accessed January 5, 2023, https://rhg.com/data_story/climate-deck/.
11: "U.S. State-level Non-CO2 Greenhouse Gas Mitigation Report," U.S. Environmental Protection Agency, accessed January 5, 2023, https://www.epa.gov/global-mitigation-non-co2-greenhouse-gases/us-state-level-non-co2-ghg-mitigation-report.
12: "State Greenhouse Gas Emissions and Removals," U.S. Environmental Protection Agency, accessed January 5, 2023, https://www.epa.gov/ghgemissions/state-ghg-emissions-and-removals.
13: "Facility Level Information on GreenHouse gases Tool (FLIGHT)," U.S. Environmental Protection Agency, accessed January 5, 2023, https://ghgdata.epa.gov/ghgp/main.do?site_preference=normal.
14: "Phasedown of Hydrofluorocarbons: Establishing the Allowance Allocation and Trading Program under the American Innovation and Manufacturing Act," U.S. Environmental Protection Agency, accessed January 5, 2023, https://www.epa.gov/climate-hfcs-reduction.
15: "State Greenhouse Gas Emissions and Removals," U.S. Environmental Protection Agency, accessed January 5, 2023, https://www.epa.gov/ghgemissions/state-ghg-emissions-and-removals.
16: "The Climate Deck," Rhodium Group, accessed January 5, 2023, https://rhg.com/data_story/climate-deck/.
17: "Form EIA-860 detailed data with previous form data (EIA-860A/860B)," U.S. Energy Information Administration, accessed January 5, 2023, https://www.eia.gov/electricity/data/eia860/.
18: "Electric Power Monthly," U.S. Energy Information Administration, accessed January 5, 2023, https://www.eia.gov/electricity/monthly/.
19: "Form EIA-923 detailed data with previous form data (EIA-906/920)," U.S. Energy Information Administration, accessed January 5, 2023, https://www.eia.gov/electricity/data/eia923/.
20: "The 2035 Report: Plummeting Solar, Wind, and Battery Costs Can Accelerate Our Clean Electricity Future," Goldman School of Public Policy, University of California Berkeley, June 2020, https://www.2035report.com/electricity/downloads/.
21: "State Electricity Profiles," U.S. Energy Information Administration, accessed January 5, 2023, https://www.eia.gov/electricity/state/.
22: "State Greenhouse Gas Emissions and Removals," U.S. Environmental Protection Agency, accessed January 5, 2023, https://www.epa.gov/ghgemissions/state-ghg-emissions-and-removals.
23: "The Climate Deck," Rhodium Group, accessed January 5, 2023, https://rhg.com/data_story/climate-deck/.
24: "State Energy Data System (SEDS)," U.S. Energy Information Administration, accessed January 5, 2023, https://www.eia.gov/state/seds/.
25: "Electrification Futures Study: End-Use Electric Technology Cost and Performance Projections through 2050," National Renewable Energy Laboratory, 2017, https://www.nrel.gov/docs/fy18osti/71500.pdf.
26: "Electrification Futures Study: End-Use Electric Technology Cost and Performance Projections through 2050," National Renewable Energy Laboratory, 2017, https://www.nrel.gov/docs/fy18osti/71500.pdf.
27: "Annual Energy Outlook 2022," U.S. Energy Information Administration, accessed January 5, 2023, https://www.eia.gov/outlooks/aeo/.
28: "State Greenhouse Gas Emissions and Removals," U.S. Environmental Protection Agency, accessed January 5, 2023, https://www.epa.gov/ghgemissions/state-ghg-emissions-and-removals.
29: "The Climate Deck," Rhodium Group, accessed January 5, 2023, https://rhg.com/data_story/climate-deck/.
30: "State Greenhouse Gas Emissions and Removals," U.S. Environmental Protection Agency, accessed January 5, 2023, https://www.epa.gov/ghgemissions/state-ghg-emissions-and-removals.
31: "State Greenhouse Gas Emissions and Removals," U.S. Environmental Protection Agency, accessed January 5, 2023, https://www.epa.gov/ghgemissions/state-ghg-emissions-and-removals.
32: "The Climate Deck," Rhodium Group, accessed January 5, 2023, https://rhg.com/data_story/climate-deck/.
33: "Congressional Climate Plan Is a 'Bet Your Country' Moment," Energy Innovation Policy & Technology LLC, July 28, 2021, https://energyinnovation.org/2021/07/28/hal-harveys-insights-and-updates-congressional-climate-plan-is-a-bet-your-country-moment/.
34: "Download the Energy Policy Simulator," Energy Innovation Policy & Technology LLC, accessed January 5, 2023, https://us.energypolicy.solutions/docs/download.html.
35: "Energy Policy Simulator Documentation," Energy Innovation Policy & Technology LLC, accessed January 5, 2023, https://us.energypolicy.solutions/docs/index.html.
36: "Energy Policy Simulator Video Series," Energy Innovation Policy & Technology LLC, accessed January 5, 2023, https://us.energypolicy.solutions/docs/video-series.html.