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Transportation Electrification Load Profiles by Balancing Authority in the Western United States for GODEEEP

Authors: Acharya, Samrat; Thurber, Travis B; Ghosal, Malini;

Transportation Electrification Load Profiles by Balancing Authority in the Western United States for GODEEEP

Abstract

Time-series electric charging load profiles for the transportation sector across Balancing Authorities (BAs) in the Western Electricity Coordinating Council (WECC) interconnect for the years 2025, 2030, 2035, 2040, 2045, and 2050. The data is provided for two different socioeconomic pathways and two different climate pathways, resulting in four total scenarios. The socioeconomic pathways--Business-As-Usual with Climate (BAU_Climate) and Net-Zero without CCS (NetZeroNoCCS_Climate)--are described by https://doi.org/10.5281/zenodo.7838871. The climate pathways--Representative Concentration Pathway 4.5 cooler (rcp45cooler) and Representative Concentration Pathway 8.5 hotter (rcp85hotter)--are described by https://doi.org/10.57931/1885756. The climate influence is only considered for Light Duty Vehicles (LDVs). For additional details please consult the paper Acharya et al 2023, Developing Spatio-Temporal Transportation Electric Load from Multi-Sector Dynamics Model, in prep, and the code repository https://github.com/GODEEEP/transportation_electrification, in prep. A brief summary of the files and directories in this data package is provided below. Text within chevrons implies a multiplicity of files, one for each actual value. BAU_Climate rcp45cooler <balancing authority>_hourly_transportation_load_<socioeconomic pathway>_<climate scenario>_<year>.csv rcp85hotter <balancing authority>_hourly_transportation_load_<socioeconomic pathway>_<climate scenario>_<year>.csv NetZeroNoCCS_Climate rcp45cooler <balancing authority>_hourly_transportation_load_<socioeconomic pathway>_<climate scenario>_<year>.csv rcp85hotter <balancing authority>_hourly_transportation_load_<socioeconomic pathway>_<climate scenario>_<year>.csv WECC_hourly_transportation_load_<socioeconomic pathway>_<climate scenario>_<year>.csv Each file is in comma-separated-value (CSV) format with the following columns: time - ISO 8601 timestamp representing the end of the hourly timestep; values are reported as the summation over the preceding hour balancing_authority - Acronym of the balancing authority for this data point LDV_load_MWh - Energy consumed by the charging of Light Duty Vehicles (LDVs) during the previous hour in Megawatt hours MDV_load_MWh - Energy consumed by the charging of Medium Duty Vehicles (MDVs) during the previous hour in Megawatt hours HDV_load_MWh - Energy consumed by the charging of Heavy Duty Vehicles (HDVs) during the previous hour in Megawatt hours passenger_rail_load_MWh - Energy consumed by the charging of passenger rail vehicles during the previous hour in Megawatt hours freight_rail_load_MWh - Energy consumed by the charging of freight rail vehicles during the previous hour in Megawatt hours aviation_load_MWh - Energy consumed by the charging of aviation vehicles during the previous hour in Megawatt hours ship_load_MWh - Energy consumed by the charging of ships during the previous hour in Megawatt hours transportation_load_MWh - Total energy consumed by the charging of vehicles during the previous hour in Megawatt hours (summation of the other columns) The WECC files provide summations of all BAs for each scenario, with the same columns excepting balancing_authority. This research was supported by the Grid Operations, Decarbonization, Environmental and Energy Equity Platform (GODEEEP) Investment, under the Laboratory Directed Research and Development (LDRD) Program at Pacific Northwest National Laboratory (PNNL). PNNL is a multi-program national laboratory operated for the U.S. Department of Energy (DOE) by Battelle Memorial Institute under Contract No. DE-AC05-76RL01830.

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