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Electrification of transport compounded with climate change will transformhourly load profiles and their response to weather. Power system operators andEV charging stakeholders require such high-resolution load profiles for theirplanning studies. However, such profiles accounting whole transportation sectoris lacking. Thus, we present a novel approach to generating hourly electricload profiles that considers charging strategies and evolving sensitivity totemperature. The approach consists of downscaling annual state-scale sectoralload projections from the multi-sectoral Global Change Analysis Model (GCAM)into hourly electric load profiles leveraging high resolution climate andpopulation datasets. Profiles are developed and evaluated at the BalancingAuthority scale, with a 5-year increment until 2050 over the Western U.S.Interconnect for multiple decarbonization pathways and climate scenarios. Thedatasets are readily available for production cost model analysis. Our opensource approach is transferable to other regions.

Weather Sensitive High Spatio-Temporal Resolution Transportation Electric Load Profiles For Multiple Decarbonization Pathways