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Solar PV-Based Electric Vehicle Charging Station for Security Bikes: A Techno-Economic and Environmental Analysis

Author

Listed:
  • Aqib Shafiq

    (Department of Electrical Engineering, University of Azad Jammu and Kashmir, Muzaffarabad 13100, Pakistan)

  • Sheeraz Iqbal

    (Department of Electrical Engineering, University of Azad Jammu and Kashmir, Muzaffarabad 13100, Pakistan)

  • Salman Habib

    (College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China)

  • Atiq ur Rehman

    (Department of Electrical Engineering, Balochistan University of Information Technology, Engineering and Management Sciences (BUITEMS), Quetta 87300, Pakistan)

  • Anis ur Rehman

    (Department of Electrical Engineering, University of Azad Jammu and Kashmir, Muzaffarabad 13100, Pakistan)

  • Ali Selim

    (Electrical Engineering Department, Faculty of Engineering, Aswan University, Aswan 81542, Egypt)

  • Emad M. Ahmed

    (Department of Electrical Engineering, College of Engineering, Jouf University, Sakaka 72388, Saudi Arabia
    AWCRC, Faculty of Engineering, Aswan University, Aswan 81542, Egypt)

  • Salah Kamel

    (Electrical Engineering Department, Faculty of Engineering, Aswan University, Aswan 81542, Egypt)

Abstract

Electric vehicles (EVs) are becoming more attractive for a variety of reasons. One of the major advantages of EVs is that they emit fewer polluted gases. Other factors that must be addressed include an increase in fuel prices and a decline in energy resources such as fossil fuels. These characteristics have a greater impact on Pakistan’s clean and green image. Electric vehicles are becoming an attractive option for reducing global fossil fuel usage, as well as CO 2 emissions, from road transportation. The electricity required to charge an EV’s battery is commonly sourced from the power grid. When EVs are charged by the electrical grid, there are significant power constraints in the system. To promote renewable energy consumption and reduce CO 2 emissions, specific solar system-based charging stations should be designed. Other benefits of renewable energy generation include increased grid flexibility and reduced grid congestion. Moreover, the State of Azad Jammu and Kashmir, Pakistan, has a huge potential for solar energy. This article investigates the possibility of designing a solar photovoltaic-based EV charging station for security bikes located in the State of Azad Jammu and Kashmir, Pakistan. Before installing a PV charging station, the charging station’s feasibility must be studied. The proposed study also analyzes the power reliability, energy cost, and CO 2 emissions of a PV-powered charging station. The proposed system’s outcomes are compared to grid-based charging stations. In comparison to other existing approaches, there is a significant reduction in greenhouse gas (GHG) emissions, including CO 2 , CO, SO 2 , and NOX. The proposed study anticipates the economic and environmental benefits of EV charging stations powered by renewable energy resources.

Suggested Citation

  • Aqib Shafiq & Sheeraz Iqbal & Salman Habib & Atiq ur Rehman & Anis ur Rehman & Ali Selim & Emad M. Ahmed & Salah Kamel, 2022. "Solar PV-Based Electric Vehicle Charging Station for Security Bikes: A Techno-Economic and Environmental Analysis," Sustainability, MDPI, vol. 14(21), pages 1-18, October.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:21:p:13767-:d:951640
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    References listed on IDEAS

    as
    1. Amit Kumer Podder & Sayma Afroza Supti & Sayemul Islam & Maria Malvoni & Arunkumar Jayakumar & Sanchari Deb & Nallapaneni Manoj Kumar, 2021. "Feasibility Assessment of Hybrid Solar Photovoltaic-Biogas Generator Based Charging Station: A Case of Easy Bike and Auto Rickshaw Scenario in a Developing Nation," Sustainability, MDPI, vol. 14(1), pages 1-27, December.
    2. Phap Vu Minh & Sang Le Quang & Manh-Hai Pham, 2021. "Technical Economic Analysis of Photovoltaic-Powered Electric Vehicle Charging Stations under Different Solar Irradiation Conditions in Vietnam," Sustainability, MDPI, vol. 13(6), pages 1-20, March.
    3. Chandra Mouli, G.R. & Bauer, P. & Zeman, M., 2016. "System design for a solar powered electric vehicle charging station for workplaces," Applied Energy, Elsevier, vol. 168(C), pages 434-443.
    4. Anis ur Rehman & Muhammad Ali & Sheeraz Iqbal & Aqib Shafiq & Nasim Ullah & Sattam Al Otaibi, 2022. "Artificial Intelligence-Based Control and Coordination of Multiple PV Inverters for Reactive Power/Voltage Control of Power Distribution Networks," Energies, MDPI, vol. 15(17), pages 1-13, August.
    5. Hafez, Omar & Bhattacharya, Kankar, 2017. "Optimal design of electric vehicle charging stations considering various energy resources," Renewable Energy, Elsevier, vol. 107(C), pages 576-589.
    6. Sheeraz Iqbal & Salman Habib & Noor Habib Khan & Muhammad Ali & Muhammad Aurangzeb & Emad M. Ahmed, 2022. "Electric Vehicles Aggregation for Frequency Control of Microgrid under Various Operation Conditions Using an Optimal Coordinated Strategy," Sustainability, MDPI, vol. 14(5), pages 1-25, March.
    7. Xu, Min & Meng, Qiang, 2020. "Optimal deployment of charging stations considering path deviation and nonlinear elastic demand," Transportation Research Part B: Methodological, Elsevier, vol. 135(C), pages 120-142.
    8. Zhang, Yue & Zhang, Qi & Farnoosh, Arash & Chen, Siyuan & Li, Yan, 2019. "GIS-Based Multi-Objective Particle Swarm Optimization of charging stations for electric vehicles," Energy, Elsevier, vol. 169(C), pages 844-853.
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