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Optimal operation and locating method of new energy building with shared charging service

Liu, Chang ; Wang, Wei ; Wang, Zhixun ; Chen, Shangfa ; Su, Peifang ; Gao, Hongyuan ; Xu, Chao ; Ge, Biyuan ; Ding, Hongfa ; Liu, Liang (2022):
Optimal operation and locating method of new energy building with shared charging service. (Publisher's Version)
In: Frontiers in Energy Research, 10, Frontiers Media S.A., e-ISSN 2296-598X,
DOI: 10.26083/tuprints-00022037,
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Item Type: Article
Origin: Secondary publication DeepGreen
Status: Publisher's Version
Title: Optimal operation and locating method of new energy building with shared charging service
Language: English
Abstract:

In order to cope with global climate change, an electric vehicle (EV) and new energy building are constantly being innovated and improved. With the popularity and application of big data and Internet of Things, the new energy building with available charging piles may also become a charging station, which can solve the problem of difficult charging of EVs and promote the local energy consumption of the building. Therefore, this study proposes a shared charging concept for buildings, that is, shared photovoltaic, charging, and energy storage building (sPCEB). First, based on the analysis results of big data in cities or settlements of people, a locating method of the sPCEB system is introduced, and further proposes an optimal operating strategy that maximizes the combined benefit of the building. The efficiency and effectiveness of the proposed methods are verified by simulation.

Journal or Publication Title: Frontiers in Energy Research
Volume of the journal: 10
Place of Publication: Darmstadt
Publisher: Frontiers Media S.A.
Collation: 15 Seiten
Uncontrolled Keywords: location problem, data analysis, new energy building, analytic hierarchy process, electric vehicle, optimal operating strategy, mixed-integer linear programming
Classification DDC: 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften
700 Künste und Unterhaltung > 720 Architektur
Divisions: 15 Department of Architecture > Fachgruppe F: Gebäudetechnik
Date Deposited: 16 Sep 2022 13:08
Last Modified: 23 Sep 2022 09:42
DOI: 10.26083/tuprints-00022037
Corresponding Links:
URN: urn:nbn:de:tuda-tuprints-220375
SWORD Depositor: Deep Green
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/22037
PPN: 499601130
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