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Selection of a Photovoltaic Carport Power for an Electric Vehicle

Author

Listed:
  • 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)

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.

Suggested Citation

  • Edgar Sokolovskij & Arkadiusz Małek & Jacek Caban & Agnieszka Dudziak & Jonas Matijošius & Andrzej Marciniak, 2023. "Selection of a Photovoltaic Carport Power for an Electric Vehicle," Energies, MDPI, vol. 16(7), pages 1-16, March.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:7:p:3126-:d:1111155
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    References listed on IDEAS

    as
    1. Mikulski, Maciej & Ambrosewicz-Walacik, Marta & Duda, Kamil & Hunicz, Jacek, 2020. "Performance and emission characterization of a common-rail compression-ignition engine fuelled with ternary mixtures of rapeseed oil, pyrolytic oil and diesel," Renewable Energy, Elsevier, vol. 148(C), pages 739-755.
    2. Du, Jiuyu & Liu, Ye & Mo, Xinying & Li, Yalun & Li, Jianqiu & Wu, Xiaogang & Ouyang, Minggao, 2019. "Impact of high-power charging on the durability and safety of lithium batteries used in long-range battery electric vehicles," Applied Energy, Elsevier, vol. 255(C).
    3. Andrea Pietra & Marco Gianni & Nicola Zuliani & Stefano Malabotti & Rodolfo Taccani, 2021. "Experimental Characterization of an Alkaline Electrolyser and a Compression System for Hydrogen Production and Storage," Energies, MDPI, vol. 14(17), pages 1-17, August.
    4. Xylia, Maria & Silveira, Semida, 2018. "The role of charging technologies in upscaling the use of electric buses in public transport: Experiences from demonstration projects," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 399-415.
    5. Xiaowei Ding & Weige Zhang & Shaoyuan Wei & Zhenpo Wang, 2021. "Optimization of an Energy Storage System for Electric Bus Fast-Charging Station," Energies, MDPI, vol. 14(14), pages 1-17, July.
    6. Cesar Diaz-Londono & Luigi Colangelo & Fredy Ruiz & Diego Patino & Carlo Novara & Gianfranco Chicco, 2019. "Optimal Strategy to Exploit the Flexibility of an Electric Vehicle Charging Station," Energies, MDPI, vol. 12(20), pages 1-29, October.
    7. Ferrero, Enrico & Alessandrini, Stefano & Balanzino, Alessia, 2016. "Impact of the electric vehicles on the air pollution from a highway," Applied Energy, Elsevier, vol. 169(C), pages 450-459.
    8. Globisch, Joachim & Plötz, Patrick & Dütschke, Elisabeth & Wietschel, Martin, 2019. "Consumer preferences for public charging infrastructure for electric vehicles," Transport Policy, Elsevier, vol. 81(C), pages 54-63.
    9. Tomáš Settey & Jozef Gnap & František Synák & Tomáš Skrúcaný & Marek Dočkalik, 2021. "Research into the Impacts of Driving Cycles and Load Weight on the Operation of a Light Commercial Electric Vehicle," Sustainability, MDPI, vol. 13(24), pages 1-25, December.
    10. Schücking, Maximilian & Jochem, Patrick, 2021. "Two-stage stochastic program optimizing the cost of electric vehicles in commercial fleets," Applied Energy, Elsevier, vol. 293(C).
    11. Muhammad Rizalul Wahid & Bentang Arief Budiman & Endra Joelianto & Muhammad Aziz, 2021. "A Review on Drive Train Technologies for Passenger Electric Vehicles," Energies, MDPI, vol. 14(20), pages 1-24, October.
    12. Shaheer Ansari & Afida Ayob & Molla Shahadat Hossain Lipu & Aini Hussain & Mohamad Hanif Md Saad, 2021. "Multi-Channel Profile Based Artificial Neural Network Approach for Remaining Useful Life Prediction of Electric Vehicle Lithium-Ion Batteries," Energies, MDPI, vol. 14(22), pages 1-22, November.
    13. Robert Robert Muha & Aleš Peroša, 2018. "Energy Consumption And Carbon Footprint Of An Electric Vehicle And A Vehicle With An Internal Combustion Engine," Transport Problems, Silesian University of Technology, Faculty of Transport, vol. 13(2), pages 49-58, June.
    14. Ibrahim, Amier & Jiang, Fangming, 2021. "The electric vehicle energy management: An overview of the energy system and related modeling and simulation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    15. Kumar, M. Satyendra & Revankar, Shripad T., 2017. "Development scheme and key technology of an electric vehicle: An overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1266-1285.
    16. Kristián Čulík & Vladimíra Štefancová & Karol Hrudkay & Ján Morgoš, 2021. "Interior Heating and Its Influence on Electric Bus Consumption," Energies, MDPI, vol. 14(24), pages 1-19, December.
    17. Seddig, Katrin & Jochem, Patrick & Fichtner, Wolf, 2019. "Two-stage stochastic optimization for cost-minimal charging of electric vehicles at public charging stations with photovoltaics," Applied Energy, Elsevier, vol. 242(C), pages 769-781.
    18. Di Foggia, Giacomo, 2021. "Drivers and challenges of electric vehicles integration in corporate fleet: An empirical survey," SocArXiv b3e56, Center for Open Science.
    19. Tomáš Settey & Jozef Gnap & Dominika Beňová & Michal Pavličko & Oľga Blažeková, 2021. "The Growth of E-Commerce Due to COVID-19 and the Need for Urban Logistics Centers Using Electric Vehicles: Bratislava Case Study," Sustainability, MDPI, vol. 13(10), pages 1-20, May.
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    Cited by:

    1. Ivo Araújo & Leonel J. R. Nunes & António Curado, 2023. "Photovoltaic Production Management under Constrained Regulatory Requirements: A Step towards a Local Energy Community Creation," Energies, MDPI, vol. 16(22), pages 1-19, November.
    2. Arkadiusz Małek & Jacek Caban & Agnieszka Dudziak & Andrzej Marciniak & Piotr Ignaciuk, 2023. "A Method of Assessing the Selection of Carport Power for an Electric Vehicle Using the Metalog Probability Distribution Family," Energies, MDPI, vol. 16(13), pages 1-16, June.

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