Abstract
This report documents enhancements made to the TEMPO (Transportation Energy & Mobility Pathway Options) model to project spatially, demographically, and temporally resolved national-scale EV charging load profiles and describes three scenarios and corresponding datasets created for the NREL demand-side grid (dsgrid) project in support of bulk power systems modeling. In brief, TEMPO was enhanced to disaggregate national and annual energy demand projections into household and county-level projections of passenger electric vehicle (EV) hourly charging load profiles (8760 profiles), accounting for consumer, travel, and temperature variations that impact EV energy demand. In alignment with NREL's forward-looking grid modeling, three scenarios for EV adoption covering 2020-2050 were created: Annual Energy Outlook (AEO) Reference Case, Electrification Futures Study (EFS) High Electrification, and All EV Sales by 2035, and associated datasets have been included in the dsgrid platform for public use.
Original language | American English |
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Number of pages | 59 |
DOIs | |
State | Published - 2023 |
NREL Publication Number
- NREL/TP-5400-83916
Keywords
- county
- disaggregation
- dsgrid
- electric vehicle
- EV
- EV charging
- EV load
- heterogeneity
- load
- tempo
- uncertainty
- variation