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Feasibility Study of a Solar-Powered Electric Vehicle Charging Station Model

Author

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  • Bin Ye

    (Research Center on Modern Logistics, Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, China
    These authors contributed equally to this work.)

  • Jingjing Jiang

    (School of Financial Mathematics and Engineering, South University of Science and Technology of China, Shenzhen 518055, China
    Environmental Science and Engineering Center, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen 518055, China
    These authors contributed equally to this work.)

  • Lixin Miao

    (Research Center on Modern Logistics, Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, China)

  • Peng Yang

    (Research Center on Modern Logistics, Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, China)

  • Ji Li

    (Environmental Science and Engineering Center, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen 518055, China)

  • Bo Shen

    (Energy Analysis and Environmental Impacts Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA)

Abstract

In China, the power sector is currently the largest carbon emitter and the transportation sector is the fastest-growing carbon emitter. This paper proposes a model of solar-powered charging stations for electric vehicles to mitigate problems encountered in China’s renewable energy utilization processes and to cope with the increasing power demand by electric vehicles for the near future. This study applies the proposed model to Shenzhen City to verify its technical and economic feasibility. Modeling results showed that the total net present value of a photovoltaic power charging station that meets the daily electricity demand of 4500 kWh is $3,579,236 and that the cost of energy of the combined energy system is $0.098/kWh. In addition, the photovoltaic powered electric vehicle model has pollutant reduction potentials of 99.8%, 99.7% and 100% for carbon dioxide, sulfur dioxide, and nitrogen oxides, respectively, compared with a traditional gasoline-fueled car. Sensitivity analysis results indicated that interest rate has a relatively strong influence on COE (Cost of Energy). An increase in the interest rate from 0% to 6% increases COE from $0.027/kWh to $0.097/kWh. This analysis also suggests that carbon pricing promotes renewable energy only when the price of carbon is above $20/t.

Suggested Citation

  • Bin Ye & Jingjing Jiang & Lixin Miao & Peng Yang & Ji Li & Bo Shen, 2015. "Feasibility Study of a Solar-Powered Electric Vehicle Charging Station Model," Energies, MDPI, vol. 8(11), pages 1-19, November.
    • Handle: RePEc:gam:jeners:v:8:y:2015:i:11:p:12368-13283:d:59252
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    18. Jamiu O. Oladigbolu & Asad Mujeeb & Amir A. Imam & Ali Muhammad Rushdi, 2022. "Design, Technical and Economic Optimization of Renewable Energy-Based Electric Vehicle Charging Stations in Africa: The Case of Nigeria," Energies, MDPI, vol. 16(1), pages 1-32, December.
    19. Mohd Bilal & Ibrahim Alsaidan & Muhannad Alaraj & Fahad M. Almasoudi & Mohammad Rizwan, 2022. "Techno-Economic and Environmental Analysis of Grid-Connected Electric Vehicle Charging Station Using AI-Based Algorithm," Mathematics, MDPI, vol. 10(6), pages 1-40, March.
    20. Li, Wei & Jia, Zhijie & Zhang, Hongzhi, 2017. "The impact of electric vehicles and CCS in the context of emission trading scheme in China: A CGE-based analysis," Energy, Elsevier, vol. 119(C), pages 800-816.
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    23. Jicheng Liu & Qiongjie Dai, 2020. "Portfolio Optimization of Photovoltaic/Battery Energy Storage/Electric Vehicle Charging Stations with Sustainability Perspective Based on Cumulative Prospect Theory and MOPSO," Sustainability, MDPI, vol. 12(3), pages 1-20, January.

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