IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v18y2025i5p1208-d1603308.html
   My bibliography  Save this article

Techno-Economic Feasibility and Optimal Design Approach of Grid-Connected Hybrid Power Generation Systems for Electric Vehicle Battery Swapping Station

Author

Listed:
  • Lumbumba Taty-Etienne Nyamayoka

    (School of Electrical and Information Engineering (EIE), Faculty of Engineering and the Built Environment (FEBE), University of the Witwatersrand, Johannesburg 2050, South Africa)

  • Lesedi Masisi

    (School of Electrical and Information Engineering (EIE), Faculty of Engineering and the Built Environment (FEBE), University of the Witwatersrand, Johannesburg 2050, South Africa)

  • David Dorrell

    (School of Electrical and Information Engineering (EIE), Faculty of Engineering and the Built Environment (FEBE), University of the Witwatersrand, Johannesburg 2050, South Africa
    Department of Mechanical and Material Engineering, University of Turku, 20520 Turku, Finland)

  • Shuo Wang

    (National Engineering Research Center of Electric Vehicles, Beijing Institute of Technology, Beijing 100081, China)

Abstract

Fossil fuel depletion, environmental concerns, and energy efficiency initiatives drive the rapid growth in the use of electric vehicles. However, lengthy battery charging times significantly hinder their widespread use. One proposed solution is implementing battery swapping stations, where depleted electric vehicle batteries are quickly exchanged for fully charged ones in a short time. This paper evaluates the techno-economic feasibility and optimal design of a grid-connected hybrid wind–photovoltaic power system for electric vehicle battery swapping stations. The aim is to evaluate the viability of this hybrid power supply system as an alternative energy source, focusing on its cost-effectiveness. An optimal control model is developed to minimize the total life cycle cost of the proposed system while reducing the reliance on the utility grid and maximizing system reliability, measured by loss of power supply probability. This model is solved using mixed-integer linear programming to determine key decision variables such as the power drawn from the utility grid and the number of wind turbines and solar photovoltaic panels. A case study validates the effectiveness of this approach. The simulation results indicate that the optimal configuration comprises 64 wind turbines and 402 solar panels, with a total life cycle cost of ZAR 1,963,520.12. These results lead to an estimated energy cost savings of 41.58%. A life cycle cost analysis, incorporating initial investment, maintenance, and operational expenses, estimates a payback period of 5 years and 6 months. These findings confirm that the proposed hybrid power supply system is technically and economically viable for electric vehicle battery swapping stations.

Suggested Citation

  • Lumbumba Taty-Etienne Nyamayoka & Lesedi Masisi & David Dorrell & Shuo Wang, 2025. "Techno-Economic Feasibility and Optimal Design Approach of Grid-Connected Hybrid Power Generation Systems for Electric Vehicle Battery Swapping Station," Energies, MDPI, vol. 18(5), pages 1-30, March.
  • Handle: RePEc:gam:jeners:v:18:y:2025:i:5:p:1208-:d:1603308
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/18/5/1208/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/18/5/1208/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yan, Jie & Menghwar, Mohan & Asghar, Ehtisham & Kumar Panjwani, Manoj & Liu, Yongqian, 2019. "Real-time energy management for a smart-community microgrid with battery swapping and renewables," Applied Energy, Elsevier, vol. 238(C), pages 180-194.
    2. Adu-Gyamfi, Gibbson & Song, Huaming & Obuobi, Bright & Nketiah, Emmanuel & Wang, Hong & Cudjoe, Dan, 2022. "Who will adopt? Investigating the adoption intention for battery swap technology for electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    3. Diaf, S. & Belhamel, M. & Haddadi, M. & Louche, A., 2008. "Technical and economic assessment of hybrid photovoltaic/wind system with battery storage in Corsica island," Energy Policy, Elsevier, vol. 36(2), pages 743-754, February.
    4. Lamedica, Regina & Santini, Ezio & Ruvio, Alessandro & Palagi, Laura & Rossetta, Irene, 2018. "A MILP methodology to optimize sizing of PV - Wind renewable energy systems," Energy, Elsevier, vol. 165(PB), pages 385-398.
    5. Gull, Muhammad Shuzub & Khalid, Muhammad & Arshad, Naveed, 2024. "Multi-objective optimization of battery swapping station to power up mobile and stationary loads," Applied Energy, Elsevier, vol. 374(C).
    6. Maleki, Akbar & Pourfayaz, Fathollah & Rosen, Marc A., 2016. "A novel framework for optimal design of hybrid renewable energy-based autonomous energy systems: A case study for Namin, Iran," Energy, Elsevier, vol. 98(C), pages 168-180.
    7. Lianling Ren & Wei Liao & Jun Chen, 2024. "Systematic Design and Implementation Method of Battery-Energy Comprehensive Management Platform in Charging and Swapping Scenarios," Energies, MDPI, vol. 17(5), pages 1-13, March.
    8. Abbes, Dhaker & Martinez, André & Champenois, Gérard, 2014. "Life cycle cost, embodied energy and loss of power supply probability for the optimal design of hybrid power systems," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 98(C), pages 46-62.
    9. Sehar, Fakeha & Pipattanasomporn, Manisa & Rahman, Saifur, 2017. "Demand management to mitigate impacts of plug-in electric vehicle fast charge in buildings with renewables," Energy, Elsevier, vol. 120(C), pages 642-651.
    10. Belkaid, A. & Colak, I. & Isik, O., 2016. "Photovoltaic maximum power point tracking under fast varying of solar radiation," Applied Energy, Elsevier, vol. 179(C), pages 523-530.
    11. Sichilalu, Sam & Mathaba, Tebello & Xia, Xiaohua, 2017. "Optimal control of a wind–PV-hybrid powered heat pump water heater," Applied Energy, Elsevier, vol. 185(P2), pages 1173-1184.
    12. Zhang, Weiping & Maleki, Akbar & Rosen, Marc A. & Liu, Jingqing, 2018. "Optimization with a simulated annealing algorithm of a hybrid system for renewable energy including battery and hydrogen storage," Energy, Elsevier, vol. 163(C), pages 191-207.
    13. Adu-Gyamfi, Gibbson & Song, Huaming & Nketiah, Emmanuel & Obuobi, Bright & Adjei, Mavis & Cudjoe, Dan, 2022. "Determinants of adoption intention of battery swap technology for electric vehicles," Energy, Elsevier, vol. 251(C).
    14. Evans, Annette & Strezov, Vladimir & Evans, Tim J., 2009. "Assessment of sustainability indicators for renewable energy technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(5), pages 1082-1088, June.
    15. Giglmayr, Sebastian & Brent, Alan C. & Gauché, Paul & Fechner, Hubert, 2015. "Utility-scale PV power and energy supply outlook for South Africa in 2015," Renewable Energy, Elsevier, vol. 83(C), pages 779-785.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Akhlaque Ahmad Khan & Ahmad Faiz Minai & Rupendra Kumar Pachauri & Hasmat Malik, 2022. "Optimal Sizing, Control, and Management Strategies for Hybrid Renewable Energy Systems: A Comprehensive Review," Energies, MDPI, vol. 15(17), pages 1-29, August.
    2. Ndwali, Kasereka & Njiri, Jackson G. & Wanjiru, Evan M., 2020. "Multi-objective optimal sizing of grid connected photovoltaic batteryless system minimizing the total life cycle cost and the grid energy," Renewable Energy, Elsevier, vol. 148(C), pages 1256-1265.
    3. Ceran, Bartosz, 2019. "The concept of use of PV/WT/FC hybrid power generation system for smoothing the energy profile of the consumer," Energy, Elsevier, vol. 167(C), pages 853-865.
    4. Wanjiru, Evan M. & Sichilalu, Sam M. & Xia, Xiaohua, 2017. "Model predictive control of heat pump water heater-instantaneous shower powered with integrated renewable-grid energy systems," Applied Energy, Elsevier, vol. 204(C), pages 1333-1346.
    5. Wanjiru, Evan M. & Sichilalu, Sam M. & Xia, Xiaohua, 2017. "Optimal control of heat pump water heater-instantaneous shower using integrated renewable-grid energy systems," Applied Energy, Elsevier, vol. 201(C), pages 332-342.
    6. Chu, Yi & Yu, Hui & Li, Ying, 2024. "How do supply- and demand-side dynamics and subsidies affect the prospects for electric vehicle battery swapping services? Evidence from an evolutionary analysis," Energy, Elsevier, vol. 308(C).
    7. Tezer, Tuba & Yaman, Ramazan & Yaman, Gülşen, 2017. "Evaluation of approaches used for optimization of stand-alone hybrid renewable energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 840-853.
    8. Nketiah, Emmanuel & Song, Huaming & Adu-Gyamfi, Gibbson & Obuobi, Bright & Adjei, Mavis & Cudjoe, Dan, 2022. "Does government involvement and awareness of benefit affect Ghanaian's willingness to pay for renewable green electricity?," Renewable Energy, Elsevier, vol. 197(C), pages 683-694.
    9. Jiang, Yinghua & Kang, Lixia & Liu, Yongzhong, 2020. "Optimal configuration of battery energy storage system with multiple types of batteries based on supply-demand characteristics," Energy, Elsevier, vol. 206(C).
    10. Perera, A.T.D. & Nik, Vahid M. & Mauree, Dasaraden & Scartezzini, Jean-Louis, 2017. "Electrical hubs: An effective way to integrate non-dispatchable renewable energy sources with minimum impact to the grid," Applied Energy, Elsevier, vol. 190(C), pages 232-248.
    11. Zhengwei Xia & Dongming Wu & Langlang Zhang, 2022. "Economic, Functional, and Social Factors Influencing Electric Vehicles’ Adoption: An Empirical Study Based on the Diffusion of Innovation Theory," Sustainability, MDPI, vol. 14(10), pages 1-22, May.
    12. Fu, Xuemei, 2024. "Understanding the adoption intention for electric vehicles: The role of hedonic-utilitarian values," Energy, Elsevier, vol. 301(C).
    13. Mazzeo, Domenico & Matera, Nicoletta & De Luca, Pierangelo & Baglivo, Cristina & Maria Congedo, Paolo & Oliveti, Giuseppe, 2020. "Worldwide geographical mapping and optimization of stand-alone and grid-connected hybrid renewable system techno-economic performance across Köppen-Geiger climates," Applied Energy, Elsevier, vol. 276(C).
    14. Mohammadali Kiehbadroudinezhad & Adel Merabet & Homa Hosseinzadeh-Bandbafha, 2022. "Review of Latest Advances and Prospects of Energy Storage Systems: Considering Economic, Reliability, Sizing, and Environmental Impacts Approach," Clean Technol., MDPI, vol. 4(2), pages 1-25, June.
    15. Nketiah, Emmanuel & Song, Huaming & Cai, Xiang & Adjei, Mavis & Adu-Gyamfi, Gibbson & Obuobi, Bright, 2022. "Citizens’ intention to invest in municipal solid waste to energy projects in Ghana: The impact of direct and indirect effects," Energy, Elsevier, vol. 254(PC).
    16. Nketiah, Emmanuel & Song, Huaming & Obuobi, Bright & Adu-Gyamfi, Gibbson & Adjei, Mavis & Cudjoe, Dan, 2022. "Citizens' willingness to pay for local anaerobic digestion energy: The influence of altruistic value and knowledge," Energy, Elsevier, vol. 260(C).
    17. González, Arnau & Riba, Jordi-Roger & Rius, Antoni, 2016. "Combined heat and power design based on environmental and cost criteria," Energy, Elsevier, vol. 116(P1), pages 922-932.
    18. Adu-Gyamfi, Gibbson & Song, Huaming & Asamoah, Ama Nyarko & Li, Liang & Nketiah, Emmanuel & Obuobi, Bright & Adjei, Mavis & Cudjoe, Dan, 2022. "Towards sustainable vehicular transport: Empirical assessment of battery swap technology adoption in China," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    19. Siddaiah, Rajanna & Saini, R.P., 2016. "A review on planning, configurations, modeling and optimization techniques of hybrid renewable energy systems for off grid applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 376-396.
    20. Cudjoe, Dan & Zhu, Bangzhu & Wang, Hong, 2024. "The role of incentive policies and personal innovativeness in consumers' carbon footprint tracking apps adoption in China," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:18:y:2025:i:5:p:1208-:d:1603308. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.