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Feasibility Investigation for Residential Battery Sizing Considering EV Charging Demand

Author

Listed:
  • Noman Shabbir

    (Department of Electrical Power Engineering & Mechatronics, Tallinn University of Technology, 19086 Tallinn, Estonia)

  • Lauri Kütt

    (Department of Electrical Power Engineering & Mechatronics, Tallinn University of Technology, 19086 Tallinn, Estonia)

  • Kamran Daniel

    (Department of Electrical Power Engineering & Mechatronics, Tallinn University of Technology, 19086 Tallinn, Estonia)

  • Victor Astapov

    (Department of Electrical Power Engineering & Mechatronics, Tallinn University of Technology, 19086 Tallinn, Estonia)

  • Hadi Ashraf Raja

    (Department of Electrical Power Engineering & Mechatronics, Tallinn University of Technology, 19086 Tallinn, Estonia)

  • Muhammad Naveed Iqbal

    (Department of Electrical Power Engineering & Mechatronics, Tallinn University of Technology, 19086 Tallinn, Estonia)

  • Oleksandr Husev

    (Department of Electrical Power Engineering & Mechatronics, Tallinn University of Technology, 19086 Tallinn, Estonia)

Abstract

Photovoltaic (PV) systems along with battery energy storage systems (BESS) are an increasing trend for residential users due to the increasing cost of energy and environmental factors. Future sustainable grids will also have electric vehicles (EVs) integrated into these residential microgrids. However, this large-scale deployment of EVs and PV systems could mean several problems in terms of power quality, hosting capacity and as well economic implications. This paper aims to provide input to more optimal design and management of domestic PV and BESS for residential users with EVs. In this work, a measurement-based data set from a low-voltage distribution network in a rural area has been used. Investigation sees different household and PV-EV penetration levels to propose the BESS capacity and use cases. An economic analysis has been performed to check the feasibility of the proposed systems. The payback period is found to be between 13 to 15 years of the proposed systems.

Suggested Citation

  • Noman Shabbir & Lauri Kütt & Kamran Daniel & Victor Astapov & Hadi Ashraf Raja & Muhammad Naveed Iqbal & Oleksandr Husev, 2022. "Feasibility Investigation for Residential Battery Sizing Considering EV Charging Demand," Sustainability, MDPI, vol. 14(3), pages 1-13, January.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:3:p:1079-:d:727448
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    References listed on IDEAS

    as
    1. Shabbir, Noman & Usman, Muhammad & Jawad, Muhammad & Zafar, Muhammad H. & Iqbal, Muhammad N. & Kütt, Lauri, 2020. "Economic analysis and impact on national grid by domestic photovoltaic system installations in Pakistan," Renewable Energy, Elsevier, vol. 153(C), pages 509-521.
    2. Khezri, Rahmat & Mahmoudi, Amin & Aki, Hirohisa, 2022. "Optimal planning of solar photovoltaic and battery storage systems for grid-connected residential sector: Review, challenges and new perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 153(C).
    3. Georgiou, Giorgos S. & Christodoulides, Paul & Kalogirou, Soteris A., 2020. "Optimizing the energy storage schedule of a battery in a PV grid-connected nZEB using linear programming," Energy, Elsevier, vol. 208(C).
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    Citations

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    Cited by:

    1. Anton Rassõlkin & Kari Tammi & Galina Demidova & Hassan HosseinNia, 2022. "Mechatronics Technology and Transportation Sustainability," Sustainability, MDPI, vol. 14(3), pages 1-3, January.
    2. Robin Filip & Verner Püvi & Martin Paar & Matti Lehtonen, 2022. "Analyzing the Impact of EV and BESS Deployment on PV Hosting Capacity of Distribution Networks," Energies, MDPI, vol. 15(21), pages 1-22, October.
    3. Ziyi Zhao, 2023. "Operation Simulation and Economic Analysis of Household Hybrid PV and BESS Systems in the Improved TOU Mode," Sustainability, MDPI, vol. 15(11), pages 1-23, May.
    4. M. Usman Saleem & Mustafa Shakir & M. Rehan Usman & M. Hamza Tahir Bajwa & Noman Shabbir & Payam Shams Ghahfarokhi & Kamran Daniel, 2023. "Integrating Smart Energy Management System with Internet of Things and Cloud Computing for Efficient Demand Side Management in Smart Grids," Energies, MDPI, vol. 16(12), pages 1-21, June.
    5. Shabbir, Noman & Kütt, Lauri & Raja, Hadi A. & Jawad, Muhammad & Allik, Alo & Husev, Oleksandr, 2022. "Techno-economic analysis and energy forecasting study of domestic and commercial photovoltaic system installations in Estonia," Energy, Elsevier, vol. 253(C).

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