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Data Supplement - Electrification Pathways for U.S. Passenger Vehicles
This file includes light-duty vehicle (LDV) stock, sales, and energy and emissions data for the scenarios reported in "Electrification Pathways for U.S. Passenger Vehicles." Data is reported annually at the national level for the United States for each of the six scenarios described in the accompanying paper.
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Data Files for “The 2030 National Charging Network: Estimating U.S. Light-Duty Demand for Electric Vehicle Charging Infrastructure"
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This data set includes modeling results from “The 2030 National Charging Network: Estimating U.S. Light-Duty Demand for Electric Vehicle Charging Infrastructure” including region-specific [i.e., national, state, and core-based statistical area (CBSA)—cities/towns] electric vehicle supply equipment (EVSE) port count requirements in 2025 and 2030 for multiple scenarios described in the study. Please cite as: Wood, E., B. Borlaug, M. Moniot, D.-Y. Lee, Y. Ge, F. Yang, and Z. Liu. 2023. The 2030 National Charging Network: Estimating U.S. Light-Duty Demand for Electric Vehicle Charging Infrastructure. Golden, CO: National Renewable Energy Laboratory. NREL/TP-5400-85654.
Data Files for “The 2030 National Charging Network: Estimating U.S. Light-Duty Demand for Electric Vehicle Charging Infrastructure"
공공데이터포털
This data set includes modeling results from “The 2030 National Charging Network: Estimating U.S. Light-Duty Demand for Electric Vehicle Charging Infrastructure” including region-specific [i.e., national, state, and core-based statistical area (CBSA)—cities/towns] electric vehicle supply equipment (EVSE) port count requirements in 2025 and 2030 for multiple scenarios described in the study. Please cite as: Wood, E., B. Borlaug, M. Moniot, D.-Y. Lee, Y. Ge, F. Yang, and Z. Liu. 2023. The 2030 National Charging Network: Estimating U.S. Light-Duty Demand for Electric Vehicle Charging Infrastructure. Golden, CO: National Renewable Energy Laboratory. NREL/TP-5400-85654.
Modeled Electricity Demand Profiles for Federal, State, and Municipal Electric Vehicle Fleets in the United States
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Federal, state, and municipal electric vehicle fleet hourly load datasets at the Uber H3 hex, county, and city resolutions, as described in Singer et al. (2025).Please cite as:Singer, Mark, Cabell Hodge, Kara Podkaminer, and Brennan Borlaug. 2025. Initial Estimate of Electricity Demand for Federal, State, and Municipal Electric Vehicle Fleets in the United States. Golden, CO: National Renewable Energy Laboratory. NREL/TP-5400-92142. https://www.nrel.gov/docs/fy25osti/92142.pdf (forthcoming)
Data associated with manuscript "Evaluating long-term emission impacts of large-scale electric vehicle deployment in the US using a human-earth systems model"
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The GCAM-USA model was used to evaluate the incremental national and regional emission impacts of widespread electric vehicle adoption in the US through 2050. This dataset includes the model outputs that were used to develop figures and tables for the related manuscript. This dataset is associated with the following publication: Ou, Y., N. Kittner, S. Babaee, S.J. Smith, C. Nolte, and D. Loughlin. Evaluating long-term emission impacts of large-scale electric vehicle deployment in the US using a human-Earth systems model. Applied Energy. Elsevier B.V., Amsterdam, NETHERLANDS, 300: 117364, (2021).
Data associated with manuscript "Evaluating long-term emission impacts of large-scale electric vehicle deployment in the US using a human-earth systems model"
공공데이터포털
The GCAM-USA model was used to evaluate the incremental national and regional emission impacts of widespread electric vehicle adoption in the US through 2050. This dataset includes the model outputs that were used to develop figures and tables for the related manuscript. This dataset is associated with the following publication: Ou, Y., N. Kittner, S. Babaee, S.J. Smith, C. Nolte, and D. Loughlin. Evaluating long-term emission impacts of large-scale electric vehicle deployment in the US using a human-Earth systems model. Applied Energy. Elsevier B.V., Amsterdam, NETHERLANDS, 300: 117364, (2021).
MOVES5 2023 Input Data Tables
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Inputs for the publicly available EPA modeling utility MOVES (MOtor Vehicle Emissions Simulator), used to estimate air pollution emissions from mobile sources. Please contact dec.sm.MOVES@dec.ny.gov with questions.
MOVES5 2024 Input Data Tables
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Inputs for the publicly available EPA modeling utility MOVES (MOtor Vehicle Emissions Simulator), used to estimate air pollution emissions from mobile sources. Please contact dec.sm.MOVES@dec.ny.gov with questions.
MOVES 2021 Input Data Tables
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Inputs for the publicly available EPA modeling utility MOVES (MOtor Vehicle Emissions Simulator), used to estimate air pollution emissions from mobile sources. Please contact dec.sm.MOVES@dec.ny.gov with questions.
Results from "Charging Needs for Electric Semi-Trailer Trucks"
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This data set includes modeling results from “Charging Needs for Electric Semi-Trailer Trucks” including charging demand distributions and charging speed requirements for the multiple scenarios and semi-trailer truck operating segments described in the study. Please cite as: Borlaug, B., Moniot, M., Birky, A., Alexander, M., and Muratori, M., Charging needs for electric semi-trailer trucks, Renew. Sust. Energ. Transit. (2022), 2, https://doi.org/10.1016/j.rset.2022.100038.
Results from "Charging Needs for Electric Semi-Trailer Trucks"
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This data set includes modeling results from “Charging Needs for Electric Semi-Trailer Trucks” including charging demand distributions and charging speed requirements for the multiple scenarios and semi-trailer truck operating segments described in the study. Please cite as: Borlaug, B., Moniot, M., Birky, A., Alexander, M., and Muratori, M., Charging needs for electric semi-trailer trucks, Renew. Sust. Energ. Transit. (2022), 2, https://doi.org/10.1016/j.rset.2022.100038.
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