Zhu, Yan;
Ding, Yan;
Wei, Shen;
Zafar, Hafiz Muhammad Yahya;
Yan, Rui;
(2023)
Electric Vehicle Charging Facility Configuration Method for Office Buildings.
Buildings
, 13
(4)
p. 906.
10.3390/buildings13040906.
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Abstract
With the advent of advanced battery technology, EVs are gradually gaining momentum. An appropriate decision-making method for the number of charging piles is in need to meet charging needs, and concurrently, to avoid the waste of infrastructure investment. In this study, an optimal charging pile configuration method for office building parking lots is proposed. With the determination of the design period of charging facilities, a charging load prediction model is established under a collection of charging scenarios. Taking the average utilization rate of charging facilities and the average satisfaction rate of charging demand as the objective functions, the distribution of the optimal number of piles is obtained with the genetic algorithm. The benefits of the configuration method are also explored under the building demand response process. The results show that the optimal configuration of charging piles in office buildings with different volumes have similar characteristics. When the design period is 5 years and 10 years, the comprehensive indicator of the utilization rate of the charging facilities and the satisfaction rate of the charging demand can, respectively, be improved by 8.18% and 17.45%. Moreover, the reasonable scheduling strategy can realize the load regulation response with a maximum load transfer rate of 25.55%.
| Type: | Article |
|---|---|
| Title: | Electric Vehicle Charging Facility Configuration Method for Office Buildings |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.3390/buildings13040906 |
| Publisher version: | https://doi.org/10.3390/buildings13040906 |
| Language: | English |
| Additional information: | © 2023 by the Authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
| Keywords: | electric vehicle; design period; optimal configuration; utilization rate of charging facilities; satisfaction rate of charging demand |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10167904 |
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