IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v221y2024ics0960148123016440.html
   My bibliography  Save this article

Vehicle-to-home operation and multi-location charging of electric vehicles for energy cost optimisation of households with photovoltaic system and battery energy storage

Author

Listed:
  • Wu, Yan
  • Aziz, Syed Mahfuzul
  • Haque, Mohammed H.

Abstract

With the introduction of vehicle-to-home (V2H) technologies, electric vehicles (EVs) are expected to be used as mobile energy storage devices. This will have an impact on the home energy demand and thus on the household energy cost. This study proposes a novel household energy cost optimisation method for a grid-connected home with EV, renewable energy source and battery energy storage (BES). To achieve electricity tariff-sensitive home energy management, multi-location EV charging and daily driving demand are considered to properly schedule the EV charging and V2H events. Cost optimisation results are presented for four scenarios considering two types of usage of EVs. A comprehensive analysis of net annual energy cost (AEC) is presented to illustrate the influence of component capital cost, electricity tariff, V2H cost and daily household consumption. Results show that compared with petrol-based vehicles EVs can reduce the household cost of energy (COE) by at least 22.92 %. V2H is more beneficial with free workplace and public charging, which can further reduce COE by 16.7 % and 25.0 % respectively. The peak household power demand is affected by the peak electricity price in the Time-of-Use (TOU) tariff because the peak price influences the optimal capacities of the renewable energy source and BES.

Suggested Citation

  • Wu, Yan & Aziz, Syed Mahfuzul & Haque, Mohammed H., 2024. "Vehicle-to-home operation and multi-location charging of electric vehicles for energy cost optimisation of households with photovoltaic system and battery energy storage," Renewable Energy, Elsevier, vol. 221(C).
    • Handle: RePEc:eee:renene:v:221:y:2024:i:c:s0960148123016440
    DOI: 10.1016/j.renene.2023.119729
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148123016440
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2023.119729?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Chen, Jianhong & Zhang, Youlang & Li, Xinzhou & Sun, Bo & Liao, Qiangqiang & Tao, Yibin & Wang, Zhiqin, 2020. "Strategic integration of vehicle-to-home system with home distributed photovoltaic power generation in Shanghai," Applied Energy, Elsevier, vol. 263(C).
    2. Wu, Yan & Aziz, Syed Mahfuzul & Haque, Mohammed H., 2023. "Techno-economic modelling for energy cost minimisation of a university campus to support electric vehicle charging with photovoltaic capacity optimisation," Renewable Energy, Elsevier, vol. 219(P1).
    3. Erdinc, Ozan & Paterakis, Nikolaos G. & Pappi, Iliana N. & Bakirtzis, Anastasios G. & Catalão, João P.S., 2015. "A new perspective for sizing of distributed generation and energy storage for smart households under demand response," Applied Energy, Elsevier, vol. 143(C), pages 26-37.
    4. Narayan, Nishant & Papakosta, Thekla & Vega-Garita, Victor & Qin, Zian & Popovic-Gerber, Jelena & Bauer, Pavol & Zeman, Miroslav, 2018. "Estimating battery lifetimes in Solar Home System design using a practical modelling methodology," Applied Energy, Elsevier, vol. 228(C), pages 1629-1639.
    5. Kern, Timo & Dossow, Patrick & Morlock, Elena, 2022. "Revenue opportunities by integrating combined vehicle-to-home and vehicle-to-grid applications in smart homes," Applied Energy, Elsevier, vol. 307(C).
    6. Gudmunds, D. & Nyholm, E. & Taljegard, M. & Odenberger, M., 2020. "Self-consumption and self-sufficiency for household solar producers when introducing an electric vehicle," Renewable Energy, Elsevier, vol. 148(C), pages 1200-1215.
    7. Borge-Diez, David & Icaza, Daniel & Açıkkalp, Emin & Amaris, Hortensia, 2021. "Combined vehicle to building (V2B) and vehicle to home (V2H) strategy to increase electric vehicle market share," Energy, Elsevier, vol. 237(C).
    8. Lazzeroni, Paolo & Olivero, Sergio & Repetto, Maurizio & Stirano, Federico & Vallet, Marc, 2019. "Optimal battery management for vehicle-to-home and vehicle-to-grid operations in a residential case study," Energy, Elsevier, vol. 175(C), pages 704-721.
    9. Higashitani, Takuya & Ikegami, Takashi & Uemichi, Akane & Akisawa, Atsushi, 2021. "Evaluation of residential power supply by photovoltaics and electric vehicles," Renewable Energy, Elsevier, vol. 178(C), pages 745-756.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Elkholy, M.H. & Senjyu, Tomonobu & Elymany, Mahmoud & Gamil, Mahmoud M. & Talaat, M. & Masrur, Hasan & Ueda, Soichiro & Lotfy, Mohammed Elsayed, 2024. "Optimal resilient operation and sustainable power management within an autonomous residential microgrid using African vultures optimization algorithm," Renewable Energy, Elsevier, vol. 224(C).

    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. Niu, Jide & Li, Xiaoyuan & Tian, Zhe & Yang, Hongxing, 2024. "Uncertainty analysis of the electric vehicle potential for a household to enhance robustness in decision on the EV/V2H technologies," Applied Energy, Elsevier, vol. 365(C).
    2. Yannick Pohlmann & Carl-Friedrich Klinck, 2023. "Techno-Economic Potential of V2B in a Neighborhood, Considering Tariff Models and Battery Cycle Limits," Energies, MDPI, vol. 16(11), pages 1-24, May.
    3. Mulleriyawage, U.G.K. & Shen, W.X., 2021. "Impact of demand side management on optimal sizing of residential battery energy storage system," Renewable Energy, Elsevier, vol. 172(C), pages 1250-1266.
    4. Muchun Wan & Heyang Yu & Yingning Huo & Kan Yu & Quanyuan Jiang & Guangchao Geng, 2024. "Feasibility and Challenges for Vehicle-to-Grid in Electricity Market: A Review," Energies, MDPI, vol. 17(3), pages 1-23, January.
    5. Carlo Villante, 2023. "A Novel SW Tool for the Evaluation of Expected Benefits of V2H Charging Devices Utilization in V2B Building Contexts," Energies, MDPI, vol. 16(7), pages 1-25, March.
    6. Liu, Xiaochen & Fu, Zhi & Qiu, Siyuan & Li, Shaojie & Zhang, Tao & Liu, Xiaohua & Jiang, Yi, 2023. "Building-centric investigation into electric vehicle behavior: A survey-based simulation method for charging system design," Energy, Elsevier, vol. 271(C).
    7. Barone, Giovanni & Buonomano, Annamaria & Forzano, Cesare & Giuzio, Giovanni Francesco & Palombo, Adolfo & Russo, Giuseppe, 2022. "Energy virtual networks based on electric vehicles for sustainable buildings: System modelling for comparative energy and economic analyses," Energy, Elsevier, vol. 242(C).
    8. Liu, Xiaochen & Fu, Zhi & Qiu, Siyuan & Zhang, Tao & Li, Shaojie & Yang, Zhi & Liu, Xiaohua & Jiang, Yi, 2023. "Charging private electric vehicles solely by photovoltaics: A battery-free direct-current microgrid with distributed charging strategy," Applied Energy, Elsevier, vol. 341(C).
    9. Francesco Lo Franco & Vincenzo Cirimele & Mattia Ricco & Vitor Monteiro & Joao L. Afonso & Gabriele Grandi, 2022. "Smart Charging for Electric Car-Sharing Fleets Based on Charging Duration Forecasting and Planning," Sustainability, MDPI, vol. 14(19), pages 1-19, September.
    10. Michel Noussan & Matteo Jarre, 2021. "Assessing Commuting Energy and Emissions Savings through Remote Working and Carpooling: Lessons from an Italian Region," Energies, MDPI, vol. 14(21), pages 1-19, November.
    11. Li, Yanxue & Zhang, Xiaoyi & Gao, Weijun & Xu, Wenya & Wang, Zixuan, 2022. "Operational performance and grid-support assessment of distributed flexibility practices among residential prosumers under high PV penetration," Energy, Elsevier, vol. 238(PB).
    12. Verónica Anadón Martínez & Andreas Sumper, 2023. "Planning and Operation Objectives of Public Electric Vehicle Charging Infrastructures: A Review," Energies, MDPI, vol. 16(14), pages 1-41, July.
    13. Park, Sung-Won & Son, Sung-Yong, 2023. "Techno-economic analysis for the electric vehicle battery aging management of charge point operator," Energy, Elsevier, vol. 280(C).
    14. Müller, Mathias & Blume, Yannic & Reinhard, Janis, 2022. "Impact of behind-the-meter optimised bidirectional electric vehicles on the distribution grid load," Energy, Elsevier, vol. 255(C).
    15. Gruber, J.K. & Huerta, F. & Matatagui, P. & Prodanović, M., 2015. "Advanced building energy management based on a two-stage receding horizon optimization," Applied Energy, Elsevier, vol. 160(C), pages 194-205.
    16. Narayan, Nishant & Chamseddine, Ali & Vega-Garita, Victor & Qin, Zian & Popovic-Gerber, Jelena & Bauer, Pavol & Zeman, Miroslav, 2019. "Exploring the boundaries of Solar Home Systems (SHS) for off-grid electrification: Optimal SHS sizing for the multi-tier framework for household electricity access," Applied Energy, Elsevier, vol. 240(C), pages 907-917.
    17. Georg Göhler & Anna-Lena Klingler & Florian Klausmann & Dieter Spath, 2021. "Integrated Modelling of Decentralised Energy Supply in Combination with Electric Vehicle Charging in a Real-Life Case Study," Energies, MDPI, vol. 14(21), pages 1-19, October.
    18. Nordgård-Hansen, Ellen & Kishor, Nand & Midttømme, Kirsti & Risinggård, Vetle Kjær & Kocbach, Jan, 2022. "Case study on optimal design and operation of detached house energy system: Solar, battery, and ground source heat pump," Applied Energy, Elsevier, vol. 308(C).
    19. Alexandre F. M. Correia & Pedro Moura & Aníbal T. de Almeida, 2022. "Technical and Economic Assessment of Battery Storage and Vehicle-to-Grid Systems in Building Microgrids," Energies, MDPI, vol. 15(23), pages 1-23, November.
    20. Ihsan, Abbas & Jeppesen, Matthew & Brear, Michael J., 2019. "Impact of demand response on the optimal, techno-economic performance of a hybrid, renewable energy power plant," Applied Energy, Elsevier, vol. 238(C), pages 972-984.

    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:eee:renene:v:221:y:2024:i:c:s0960148123016440. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    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.