PV Sizing for EV Workplace Charging Stations—An Empirical Study in France
Photovoltaic (PV) powered Electric Vehicle Charging Stations (PVCS) have received extensive attention recently due to the complementary relationship of PV energy and electric vehicles. This paper proposes a methodology aimed at assisting a Charging Point Operator (CPO) in determining the size of the...
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| Format: | Article |
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MDPI AG
2023-09-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/13/18/10128 |
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| author | Bruno Robisson Van-Lap Ngo Laurie Marchadier Mohammed-Farouk Bouaziz Alexandre Mignonac |
| author_facet | Bruno Robisson Van-Lap Ngo Laurie Marchadier Mohammed-Farouk Bouaziz Alexandre Mignonac |
| author_sort | Bruno Robisson |
| collection | DOAJ |
| description | Photovoltaic (PV) powered Electric Vehicle Charging Stations (PVCS) have received extensive attention recently due to the complementary relationship of PV energy and electric vehicles. This paper proposes a methodology aimed at assisting a Charging Point Operator (CPO) in determining the size of the main components of such PVCS. The modular structure of the method gives flexibility for possible use on a new sizing problem by modifying key parameters such as the EV charging demand (i.e., arrival/departure times and energy needed to fill the battery), the EV charging strategy or the business model, independently from each other. It is of particular interest for a CPO that sizes many PVCS operated in the same environment (for example, a car park at a workplace). In that case, the CPO first has to apply the method on a representative charging station. Next, he can re-use parts of the obtained results to drastically speed up (from weeks to hours) the sizing of the other charging stations. The proposed method has been applied to the EVCS of an industrial research complex in southern France. The input dataset used to apply the method consists of more than 32,000 charging transactions spanning over 6 years with 350 EV users and 80 charging points. Three charging strategies with different levels of complexity are investigated, including Mean Power, Plug and Charge, and Solar Smart Charging. The considered business model is based on the maximization of the self-production rate. The numerical findings reveal that employing a straightforward charging strategy, such as Mean Power, leads to a substantial reduction of nearly half in the required size of the PV plant compared to the basic Plug and Charge mode. In addition, our analysis demonstrates that Solar Smart Charging has the potential to decrease the PV plant size by nearly three times. |
| first_indexed | 2024-03-10T23:05:30Z |
| format | Article |
| id | doaj.art-6c344aec75db40bbae8b17fe9106f0f1 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T23:05:30Z |
| publishDate | 2023-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-6c344aec75db40bbae8b17fe9106f0f12023-11-19T09:23:23ZengMDPI AGApplied Sciences2076-34172023-09-0113181012810.3390/app131810128PV Sizing for EV Workplace Charging Stations—An Empirical Study in FranceBruno Robisson0Van-Lap Ngo1Laurie Marchadier2Mohammed-Farouk Bouaziz3Alexandre Mignonac4Commissariat à l’Energie Atomique et aux Energies Alternatives (CEA), CEA Cadarache, 13108 Saint-Paul-lèz-Durance, FranceCommissariat à l’Energie Atomique et aux Energies Alternatives (CEA), CEA Cadarache, 13108 Saint-Paul-lèz-Durance, FranceCommissariat à l’Energie Atomique et aux Energies Alternatives (CEA), CEA Cadarache, 13108 Saint-Paul-lèz-Durance, FranceUniversity Grenoble Alpes, CEA, Liten, INES, 50 Av. du Lac Léman, 73370 Le Bourget-du-Lac, FranceCommissariat à l’Energie Atomique et aux Energies Alternatives (CEA), CEA Cadarache, 13108 Saint-Paul-lèz-Durance, FrancePhotovoltaic (PV) powered Electric Vehicle Charging Stations (PVCS) have received extensive attention recently due to the complementary relationship of PV energy and electric vehicles. This paper proposes a methodology aimed at assisting a Charging Point Operator (CPO) in determining the size of the main components of such PVCS. The modular structure of the method gives flexibility for possible use on a new sizing problem by modifying key parameters such as the EV charging demand (i.e., arrival/departure times and energy needed to fill the battery), the EV charging strategy or the business model, independently from each other. It is of particular interest for a CPO that sizes many PVCS operated in the same environment (for example, a car park at a workplace). In that case, the CPO first has to apply the method on a representative charging station. Next, he can re-use parts of the obtained results to drastically speed up (from weeks to hours) the sizing of the other charging stations. The proposed method has been applied to the EVCS of an industrial research complex in southern France. The input dataset used to apply the method consists of more than 32,000 charging transactions spanning over 6 years with 350 EV users and 80 charging points. Three charging strategies with different levels of complexity are investigated, including Mean Power, Plug and Charge, and Solar Smart Charging. The considered business model is based on the maximization of the self-production rate. The numerical findings reveal that employing a straightforward charging strategy, such as Mean Power, leads to a substantial reduction of nearly half in the required size of the PV plant compared to the basic Plug and Charge mode. In addition, our analysis demonstrates that Solar Smart Charging has the potential to decrease the PV plant size by nearly three times.https://www.mdpi.com/2076-3417/13/18/10128electric vehiclesmart chargingempirical dataelectric vehicle charging infrastructures (EVCI)PV-powered electric vehicles charging stations (PVCS)collective self-consumption rate (SCR) |
| spellingShingle | Bruno Robisson Van-Lap Ngo Laurie Marchadier Mohammed-Farouk Bouaziz Alexandre Mignonac PV Sizing for EV Workplace Charging Stations—An Empirical Study in France Applied Sciences electric vehicle smart charging empirical data electric vehicle charging infrastructures (EVCI) PV-powered electric vehicles charging stations (PVCS) collective self-consumption rate (SCR) |
| title | PV Sizing for EV Workplace Charging Stations—An Empirical Study in France |
| title_full | PV Sizing for EV Workplace Charging Stations—An Empirical Study in France |
| title_fullStr | PV Sizing for EV Workplace Charging Stations—An Empirical Study in France |
| title_full_unstemmed | PV Sizing for EV Workplace Charging Stations—An Empirical Study in France |
| title_short | PV Sizing for EV Workplace Charging Stations—An Empirical Study in France |
| title_sort | pv sizing for ev workplace charging stations an empirical study in france |
| topic | electric vehicle smart charging empirical data electric vehicle charging infrastructures (EVCI) PV-powered electric vehicles charging stations (PVCS) collective self-consumption rate (SCR) |
| url | https://www.mdpi.com/2076-3417/13/18/10128 |
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