IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v107y2017icp576-589.html
   My bibliography  Save this article

Optimal design of electric vehicle charging stations considering various energy resources

Author

Listed:
  • Hafez, Omar
  • Bhattacharya, Kankar

Abstract

In this paper the optimal design of an Electric Vehicle Charging Station (EVCS) with the goal of minimizing the lifecycle cost, while taking into account environmental emissions, is presented. Different energy sources such as renewable energy technology based and diesel generation are considered, with realistic inputs on their physical, operating and economic characteristics. In order to address the “range anxiety”, concern of EV owners regarding the distance the vehicle can travel, the design of an EVCS along highways, as an isolated microgrid, is studied. In another study, the EVCS is assumed to be connected to the grid as a smart energy hub. The charging demand of the EVCS is estimated considering real drive data. Analysis is also carried out to compare the economics of a grid-connected EVCS with an isolated EVCS and the optimal break-even distance for the grid connected EVCS to be a viable option, is determined.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:107:y:2017:i:c:p:576-589
    DOI: 10.1016/j.renene.2017.01.066
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148117300769
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2017.01.066?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. Hafez, Omar & Bhattacharya, Kankar, 2012. "Optimal planning and design of a renewable energy based supply system for microgrids," Renewable Energy, Elsevier, vol. 45(C), pages 7-15.
    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. Zheng, Shuhong & Yang, Juan & Yu, Shiwei, 2021. "How renewable energy technological innovation promotes renewable power generation: Evidence from China's provincial panel data," Renewable Energy, Elsevier, vol. 177(C), pages 1394-1407.
    2. Tsao, Yu-Chung & Thanh, Vo-Van, 2021. "Toward sustainable microgrids with blockchain technology-based peer-to-peer energy trading mechanism: A fuzzy meta-heuristic approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 136(C).
    3. Li, Bo & Li, Xu & Su, Qingyu, 2022. "A system and game strategy for the isolated island electric-gas deeply coupled energy network," Applied Energy, Elsevier, vol. 306(PA).
    4. Mazzola, Simone & Astolfi, Marco & Macchi, Ennio, 2015. "A detailed model for the optimal management of a multigood microgrid," Applied Energy, Elsevier, vol. 154(C), pages 862-873.
    5. Cheng-Tao Tsai & Chih-Lung Shen & Jye-Chau Su, 2013. "A Power Supply System with ZVS and Current-Doubler Features for Hybrid Renewable Energy Conversion," Energies, MDPI, vol. 6(9), pages 1-20, September.
    6. Nithya Saiprasad & Akhtar Kalam & Aladin Zayegh, 2019. "Triple Bottom Line Analysis and Optimum Sizing of Renewable Energy Using Improved Hybrid Optimization Employing the Genetic Algorithm: A Case Study from India," Energies, MDPI, vol. 12(3), pages 1-23, January.
    7. Saif Mubaarak & Delong Zhang & Jinxin Liu & Yongcong Chen & Longze Wang & Sayed A. Zaki & Rongfang Yuan & Jing Wu & Yan Zhang & Meicheng Li, 2020. "Potential Techno-Economic Feasibility of Hybrid Energy Systems for Electrifying Various Consumers in Yemen," Sustainability, MDPI, vol. 13(1), pages 1-24, December.
    8. Renu Sharma & Sonali Goel, 2016. "Stand-alone hybrid energy system for sustainable development in rural India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 18(6), pages 1601-1614, December.
    9. Ali, Fahad & Ahmar, Muhammad & Jiang, Yuexiang & AlAhmad, Mohammad, 2021. "A techno-economic assessment of hybrid energy systems in rural Pakistan," Energy, Elsevier, vol. 215(PA).
    10. Yilmaz, Saban & Dincer, Furkan, 2017. "Optimal design of hybrid PV-Diesel-Battery systems for isolated lands: A case study for Kilis, Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 344-352.
    11. Pereira, Sérgio & Ferreira, Paula & Vaz, A.I.F., 2016. "Optimization modeling to support renewables integration in power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 316-325.
    12. Azaza, Maher & Wallin, Fredrik, 2017. "Multi objective particle swarm optimization of hybrid micro-grid system: A case study in Sweden," Energy, Elsevier, vol. 123(C), pages 108-118.
    13. Eunil Park & Taeil Han & Taehyeong Kim & Sang Jib Kwon & Angel P. Del Pobil, 2016. "Economic and Environmental Benefits of Optimized Hybrid Renewable Energy Generation Systems at Jeju National University, South Korea," Sustainability, MDPI, vol. 8(9), pages 1-12, September.
    14. Mayer, Martin János & Szilágyi, Artúr & Gróf, Gyula, 2020. "Environmental and economic multi-objective optimization of a household level hybrid renewable energy system by genetic algorithm," Applied Energy, Elsevier, vol. 269(C).
    15. Irshad, Ahmad Shah & Ludin, Gul Ahmad & Masrur, Hasan & Ahmadi, Mikaeel & Yona, Atsushi & Mikhaylov, Alexey & Krishnan, Narayanan & Senjyu, Tomonobu, 2023. "Optimization of grid-photovoltaic and battery hybrid system with most technically efficient PV technology after the performance analysis," Renewable Energy, Elsevier, vol. 207(C), pages 714-730.
    16. Fazlur Rashid & Md. Emdadul Hoque & Muhammad Aziz & Talukdar Nazmus Sakib & Md. Tariqul Islam & Raihan Moker Robin, 2021. "Investigation of Optimal Hybrid Energy Systems Using Available Energy Sources in a Rural Area of Bangladesh," Energies, MDPI, vol. 14(18), pages 1-24, September.
    17. Ramli, Makbul A.M. & Hiendro, Ayong & Sedraoui, Khaled & Twaha, Ssennoga, 2015. "Optimal sizing of grid-connected photovoltaic energy system in Saudi Arabia," Renewable Energy, Elsevier, vol. 75(C), pages 489-495.
    18. Bracco, Stefano & Delfino, Federico & Pampararo, Fabio & Robba, Michela & Rossi, Mansueto, 2014. "A mathematical model for the optimal operation of the University of Genoa Smart Polygeneration Microgrid: Evaluation of technical, economic and environmental performance indicators," Energy, Elsevier, vol. 64(C), pages 912-922.
    19. Wang, Xuebin & Song, Wenle & Wu, Haotian & Liang, Haiping & Saboor, Ahmed, 2022. "Microgrid operation relying on economic problems considering renewable sources, storage system, and demand-side management using developed gray wolf optimization algorithm," Energy, Elsevier, vol. 248(C).
    20. Krawinkler, Andreas & Breitenecker, Robert J. & Maresch, Daniela, 2022. "Heuristic decision-making in the green energy context:Bringing together simple rules and data-driven mathematical optimization," Technological Forecasting and Social Change, Elsevier, vol. 180(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:eee:renene:v:107:y:2017:i:c:p:576-589. 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.