A Method of Assessing the Selection of Carport Power for an Electric Vehicle Using the Metalog Probability Distribution Family

Arkadiusz Małek (), Jacek Caban, Agnieszka Dudziak (), Andrzej Marciniak and Piotr Ignaciuk
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Arkadiusz Małek: Department of Transportation and Informatics, WSEI University in Lublin, Projektowa 4, 20-209 Lublin, Poland
Jacek Caban: Faculty of Mechanical Engineering, Lublin University of Technology, Nadbystrzycka 36, 20-618 Lublin, Poland
Agnieszka Dudziak: Faculty of Production Engineering, University of Life Sciences in Lublin, Głęboka 28, 20-612 Lublin, Poland
Andrzej Marciniak: Department of Transportation and Informatics, WSEI University in Lublin, Projektowa 4, 20-209 Lublin, Poland
Piotr Ignaciuk: Faculty of Mechanical Engineering, Lublin University of Technology, Nadbystrzycka 36, 20-618 Lublin, Poland

Energies, 2023, vol. 16, issue 13, 1-16

Abstract: This article presents a method for assessing the selection of carport power for an electric vehicle using the Metalog probability distribution family. Carports are used to generate electricity and provide shade for vehicles parked underneath them. On the roof of the carport, there is a photovoltaic system consisting of photovoltaic panels and an inverter. An inverter with Internet of Things functions generates data packets which describe the operation of the entire system at certain intervals and sends them via wireless transmission to a cloud server. The transmitted data can be processed offline and used to determine the charging capacity of individual electric vehicles. This article presents the use of the Metalog family of distributions to predict the production of electricity by a photovoltaic carport with the accuracy of the probability distribution. Based on the calculations, an electric vehicle was selected that can be charged from the carport.

Keywords: photovoltaic plants; electricity production; charging electric vehicles; carport; energy management; distributed generation; zero-emission transport (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
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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