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
Artikel, Zweitveröffentlichung, Verlagsversion
Kurzbeschreibung (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.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2022 |
| Autor(en): | Liu, Chang ; Wang, Wei ; Wang, Zhixun ; Chen, Shangfa ; Su, Peifang ; Gao, Hongyuan ; Xu, Chao ; Ge, Biyuan ; Ding, Hongfa ; Liu, Liang |
| Art des Eintrags: | Zweitveröffentlichung |
| Titel: | Optimal operation and locating method of new energy building with shared charging service |
| Sprache: | Englisch |
| Publikationsjahr: | 2022 |
| Ort: | Darmstadt |
| Publikationsdatum der Erstveröffentlichung: | 2022 |
| Verlag: | Frontiers Media S.A. |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Frontiers in Energy Research |
| Jahrgang/Volume einer Zeitschrift: | 10 |
| Kollation: | 15 Seiten |
| DOI: | 10.26083/tuprints-00022037 |
| URL / URN: | https://tuprints.ulb.tu-darmstadt.de/22037 |
| Zugehörige Links: | |
| Herkunft: | Zweitveröffentlichung DeepGreen |
| Kurzbeschreibung (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. |
| Freie Schlagworte: | location problem, data analysis, new energy building, analytic hierarchy process, electric vehicle, optimal operating strategy, mixed-integer linear programming |
| Status: | Verlagsversion |
| URN: | urn:nbn:de:tuda-tuprints-220375 |
| Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften und Maschinenbau 700 Künste und Unterhaltung > 720 Architektur |
| Fachbereich(e)/-gebiet(e): | 15 Fachbereich Architektur 15 Fachbereich Architektur > Fachgruppe F: Gebäudetechnik |
| Hinterlegungsdatum: | 16 Sep 2022 13:08 |
| Letzte Änderung: | 19 Sep 2022 06:01 |
| PPN: | |
| Zugehörige Links: | |
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| Suche nach Titel in: | TUfind oder in Google |
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