Integrated Modeling of Electric Vehicle Energy Demand and Regional Electricity Generation

Jonathan Dowds, Sarah Howerter, Paul Hines and Lisa Aultman-Hall

Institute of Transportation Studies, Working Paper Series from Institute of Transportation Studies, UC Davis

Abstract: This paper describes a model for developing highly resolved, time-of-day specific electric vehicle charging demand profiles from travel survey data. Since timing of vehicle charging is dependent on electric vehicle supply equipment (EVSE) availability, four EVSE scenarios are considered: 1) home only, 2) home and workplace only, 3) universal EVSE, and 4) a probabilistic scenario where EVSE availability varies by location. To illustrate the implications of differing demand profiles on power grid operation with high renewable generating capacity, the profiles are in a typical regional economic dispatch model. The results provide a valuable approach for understanding the interactions between vehicle electrification and renewable energy deployment while exploring an updated range of assumptions about EVSE availability and charging behaviors for New York and the six New England states. All scenarios result in increased peak demand and increased generation by non-renewable generating sources. This indicates that incentive mechanisms that influence charging decisions are necessary to attain lower emissions outcomes. View the NCST Project Webpage

Keywords: Engineering; Social and Behavioral Sciences; Demand; Electric power generation; Electric vehicle charging; Electric vehicles; Forecasting; Renewable energy sources; Travel surveys (search for similar items in EconPapers)
Date: 2024-01-01
New Economics Papers: this item is included in nep-ene, nep-tre and nep-ure
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