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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.
In: Frontiers in Energy Research, 2022, 10
doi: 10.26083/tuprints-00022037
Article, Secondary publication, Publisher's Version

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Item Type: Article
Type of entry: Secondary publication
Title: Optimal operation and locating method of new energy building with shared charging service
Language: English
Date: 16 September 2022
Place of Publication: Darmstadt
Year of primary publication: 2022
Publisher: Frontiers Media S.A.
Journal or Publication Title: Frontiers in Energy Research
Volume of the journal: 10
Collation: 15 Seiten
DOI: 10.26083/tuprints-00022037
Corresponding Links:
Origin: Secondary publication DeepGreen
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.

Uncontrolled Keywords: location problem, data analysis, new energy building, analytic hierarchy process, electric vehicle, optimal operating strategy, mixed-integer linear programming
Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-220375
Classification DDC: 600 Technology, medicine, applied sciences > 620 Engineering and machine engineering
700 Arts and recreation > 720 Architecture
Divisions: 15 Department of Architecture > Fachgruppe F: Gebäudetechnik
Date Deposited: 16 Sep 2022 13:08
Last Modified: 14 Nov 2023 19:05
SWORD Depositor: Deep Green
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/22037
PPN: 499601130
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