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Economic impact of PV forecast inaccuracies on a corporate parking charging infrastructure

Starosta, Anna Sina ORCID iD icon 1; Jhaveri, Purav 1; Munzke, Nina ORCID iD icon 1; Hiller, Marc 1
1 Elektrotechnisches Institut (ETI), Karlsruher Institut für Technologie (KIT)

Abstract:

The number of electric vehicles is increasing exponentially and there is a high need for charging infrastructure. Furthermore, climate change motivates for the integration of renewable energy. Therefore, a DC-coupled charging station connected to photovoltaic and a stationary battery system is being researched for a workplace environment. The component sizes are economically optimized for 20 charging points. The influence of a simple photovoltaic persistence forecast on the marginal charging tariff and the self-sufficiency is analysed depending on the component sizes. It is shown, that the positive influence of implementing a self-consumption maximizing charging strategy outweighs the monetary losses of forecasting inaccuracies. ... mehr

Abstract (englisch):

The number of electric vehicles is increasing exponentially and there is a high need for charging infrastructure. Furthermore, climate change motivates for the integration of renewable energy. Therefore,
a DC-coupled charging station connected to photovoltaic and a stationary battery system is being researched for a workplace environment. The component sizes are economically optimized for 20 charging
points. The influence of a simple photovoltaic persistence forecast on the marginal charging tariff and
the self-sufficiency is analysed depending on the component sizes. ... mehr


Postprint §
DOI: 10.5445/IR/1000149732
Veröffentlicht am 12.06.2023
Cover der Publikation
Zugehörige Institution(en) am KIT Elektrotechnisches Institut (ETI)
Publikationstyp Proceedingsbeitrag
Publikationsdatum 11.06.2022
Sprache Englisch
Identifikator KITopen-ID: 1000149732
HGF-Programm 37.12.02 (POF IV, LK 01) Design,Operation & Digitalization of the Future Energy Grids
Erschienen in Proceedings of the 35th International Electric Vehicle Symposium and Exhibition
Veranstaltung 35th International Electric Vehicle Symposium and Exhibition (EVS35 2022), Oslo, Norwegen, 11.06.2022 – 15.06.2022
Projektinformation SKALE (BMWK, 01MV19004D)
Schlagwörter energy storage, infrastructure, load management, photovoltaic, prediction
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