Evaluation of smart charging for electric vehicle-to-building integration: A case study

Willy Bernal Heredia, Kalpesh Chaudhari, Andrew Meintz, Myungsoo Jun and Shanti Pless

Applied Energy, 2020, vol. 266, issue C, No S0306261920303159

Abstract: Higher electric vehicle (EV) adoption will stress the importance of demand flexibility to achieve more economic, efficient, and reliable grid operation. Charging technologies will be paramount in shifting temporally to better fit the variable generation of wind and solar. Therefore, analysis is warranted on the benefits of EV charge scheduling with respect to installation cost, operation cost, difficulty of implementation, and grid flexibility. We tackle this by analyzing the cost savings of implementing an EV charge scheduling infrastructure to reduce demand charges and installation costs. In this paper, we analyze a case study for operation of 16 level 2 chargers and 1 fast charger for two different building types. We then evaluate various test phases for controlling building and charging loads using an adaptive charging network (ACN) algorithm to characterize the ACN’s potential to reduce overall project cost.

Keywords: Electric vehicles; Charge scheduling; Demand response; Peak shaving; Charging stations (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (8)

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DOI: 10.1016/j.apenergy.2020.114803

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