Assessing the value of information for electric vehicle charging strategies at office buildings

Leoni Winschermann, Nataly Bañol Arias, Gerwin Hoogsteen and Johann Hurink

Renewable and Sustainable Energy Reviews, 2023, vol. 185, issue C

Abstract: Smart charging strategies for electric vehicles (EVs) require as input information such as energy requirement and dwell time. In practice, that information is often not available. However, estimations may be obtained from historical charging behavior. This paper investigates the added value of historical information for EV charging strategies based on real-world EV charging data collected in an office building parking lot with 125 chargers. Furthermore, it provides valuable insights into EV charging behavior at office building parking lots, based on a statistical analysis of the data. The added value of data availability in EV charging strategies for day-ahead planning and real-time operation of office building parking lots is assessed via a set of quality metrics that measure user satisfaction and impact on the local grid. Offline charging strategies under various degrees of available information are validated by comparing their performance with the real-time operation of the parking lot. Results show a power peak reduction of more than 50% using historical data and simple estimations of arrival times, dwell times, and energy requirement. A trade-off between power peaks and service quality (on average 4.4kWh energy not served) is observed. It was found that knowledge of individual average energy provides higher added value compared to knowing individual average dwell time in both offline planning and real-time operation of the parking lot.

Keywords: EV charging behavior; Electric vehicles; Smart charging; Statistics; Parking lot; Value of information (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1016/j.rser.2023.113600

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