Selection of a Photovoltaic Carport Power for an Electric Vehicle
Edgar Sokolovskij (),
Arkadiusz Małek,
Jacek Caban,
Agnieszka Dudziak (),
Jonas Matijošius and
Andrzej Marciniak
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Edgar Sokolovskij: Department of Automobile Engineering, Faculty of Transport Engineering, Vilnius Gediminas Technical University, Plytinės g. 25, LT-10105 Vilnius, Lithuania
Arkadiusz Małek: Department of Transportation and Informatics, WSEI University, Projektowa 4, 20-209 Lublin, Poland
Jacek Caban: Department of Automation, Faculty of Mechanical Engineering, Lublin University of Technology, Nadbystrzycka 36, 20-618 Lublin, Poland
Agnieszka Dudziak: Department of Power Engineering and Transportation, Faculty of Production Engineering, University of Life Sciences in Lublin, Głęboka 28, 20-612 Lublin, Poland
Jonas Matijošius: Department of Automobile Engineering, Faculty of Transport Engineering, Vilnius Gediminas Technical University, Plytinės g. 25, LT-10105 Vilnius, Lithuania
Andrzej Marciniak: Department of Transportation and Informatics, WSEI University, Projektowa 4, 20-209 Lublin, Poland
Energies, 2023, vol. 16, issue 7, 1-16
Abstract:
The increasing number of electric vehicles is forcing new solutions in the field of charging infrastructure. One such solution is photovoltaic carports, which have a double task. Firstly, they enable the generation of electricity to charge vehicles, and secondly, they protect the vehicle against the excessive heating of its interior. This article presents the functioning of a small carport for charging an electric vehicle. Attention is drawn to the problems of selecting the peak power of the photovoltaic system for charging an electric vehicle. An economic and energy analysis is carried out for the effective use of photovoltaic carports. In this article, we present the use of the Metalog family of distributions to predict the production of electricity by a photovoltaic carport with the accuracy of probability distribution.
Keywords: photovoltaic carport; electric vehicle; power; green energy; environmental indicators; Metalog (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (5)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:16:y:2023:i:7:p:3126-:d:1111155
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