Analysis of PEV User Charging Behavior at Household Charging Stations, Omaha Case Study
Advisor Information
Xiaoyue Cheng
Location
MBSC Ballroom - Poster #804 - G
Presentation Type
Poster
Start Date
4-3-2022 9:00 AM
End Date
4-3-2022 10:15 AM
Abstract
While the increase in EV use is a positive step towards embracing green technology, the heightened energy demands resulting from this rapid growth present major challenges to local energy grid load management. For context, the new EVs being deployed store approximately 100 kWh, about four times the daily electricity use of the average household in the U.S. Current local distribution grids do not have the capacity to accommodate these massively increased loads. For this reason, it is important that local utilities have a full understanding of the charging demand within a given grid. The main objective of this research is to deepen the understanding of charging behavior at the household level using real data. Specifically, data from existing 417 residential Level-2 charging stations, located in Omaha, Nebraska, USA, are collected and analyzed. The results show a clear pattern in user behavior for the starting time of sessions, as well as the connection duration, charging duration, and subsequent energy demand.
Scheduling Link
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Analysis of PEV User Charging Behavior at Household Charging Stations, Omaha Case Study
MBSC Ballroom - Poster #804 - G
While the increase in EV use is a positive step towards embracing green technology, the heightened energy demands resulting from this rapid growth present major challenges to local energy grid load management. For context, the new EVs being deployed store approximately 100 kWh, about four times the daily electricity use of the average household in the U.S. Current local distribution grids do not have the capacity to accommodate these massively increased loads. For this reason, it is important that local utilities have a full understanding of the charging demand within a given grid. The main objective of this research is to deepen the understanding of charging behavior at the household level using real data. Specifically, data from existing 417 residential Level-2 charging stations, located in Omaha, Nebraska, USA, are collected and analyzed. The results show a clear pattern in user behavior for the starting time of sessions, as well as the connection duration, charging duration, and subsequent energy demand.