IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i13p9931-d1176493.html
   My bibliography  Save this article

Optimum Design of an Electric Vehicle Charging Station Using a Renewable Power Generation System in South Korea

Author

Listed:
  • Jieun Ihm

    (Department of Electrical Engineering, Dong-A University, Busan 49315, Republic of Korea)

  • Bilal Amghar

    (Institut de Recherche en Constructibilité, Université Paris-Est, ESTP Paris, 28 Avenue Président Wilson, 94234 Cachan, France
    QUARTZ—Laboratoire QUARTZ ENSEA, 95014 Cergy-Pontoise, France)

  • Sejin Chun

    (Department of Computer Engineering and Artificial Intelligence, Dong-A University, Busan 49315, Republic of Korea)

  • Herie Park

    (Department of Electrical Engineering, Dong-A University, Busan 49315, Republic of Korea)

Abstract

In the context of global warming and fossil fuel depletion, electric vehicles (EVs) have become increasingly popular for reducing both carbon emissions and fossil fuel consumption. However, as the demand for EV charging power rises along with the expansion of EVs, conventional power plants require more fuel, and carbon emissions increase. This suggests that the goal of promoting EV adoption to mitigate climate change and reduce reliance on fossil fuels may face significant challenges. Therefore, there is a need to adopt renewable energy generation for EV charging stations to maximize the effectiveness of EV distribution in an eco-friendly way. This paper aims to propose an optimal renewable energy generation system for an EV charging station, with a specific focus on the use of an actual load profile for the station, the consideration of carbon emissions and economic evaluation, and the study of a specific case location in Korea. As a case study, an EV charging station in Korea was selected, and its renewable energy fractions (REF) of 0%, 25%, 50%, 75%, and 100% were considered for comparison of carbon emissions and economic evaluation with the help of HOMER software. In addition, the system with 25% REF was analyzed to find the best operating strategy considering the climate characteristics of the case site. The results show that the system configuration of PV/ESS is the most economical among all the REF cases, including PV, WT, and ESS, due to the meteorological characteristics of the site, and that the system with REF below 25% is the most optimal in economic terms and carbon emissions.

Suggested Citation

  • Jieun Ihm & Bilal Amghar & Sejin Chun & Herie Park, 2023. "Optimum Design of an Electric Vehicle Charging Station Using a Renewable Power Generation System in South Korea," Sustainability, MDPI, vol. 15(13), pages 1-16, June.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:13:p:9931-:d:1176493
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/13/9931/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/13/9931/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. T. M. I. Riayatsyah & T. A. Geumpana & I. M. Rizwanul Fattah & Samsul Rizal & T. M. Indra Mahlia, 2022. "Techno-Economic Analysis and Optimisation of Campus Grid-Connected Hybrid Renewable Energy System Using HOMER Grid," Sustainability, MDPI, vol. 14(13), pages 1-18, June.
    2. Herie Park & Sungwoo Bae, 2021. "Quantitative Assessment of Energy Supply Security: Korea Case Study," Sustainability, MDPI, vol. 13(4), pages 1-15, February.
    3. Saumya Bansal & Yi Zong & Shi You & Lucian Mihet-Popa & Jinsheng Xiao, 2020. "Technical and Economic Analysis of One-Stop Charging Stations for Battery and Fuel Cell EV with Renewable Energy Sources," Energies, MDPI, vol. 13(11), pages 1-15, June.
    4. Al Wahedi, Abdulla & Bicer, Yusuf, 2022. "Techno-economic optimization of novel stand-alone renewables-based electric vehicle charging stations in Qatar," Energy, Elsevier, vol. 243(C).
    5. Ramesh Kumar Arunachalam & Kumar Chandrasekaran & Eugen Rusu & Nagananthini Ravichandran & Hady H. Fayek, 2023. "Economic Feasibility of a Hybrid Microgrid System for a Distributed Substation," Sustainability, MDPI, vol. 15(4), pages 1-17, February.
    6. Zhouquan Wu & Pradeep Krishna Bhat & Bo Chen, 2023. "Optimal Configuration of Extreme Fast Charging Stations Integrated with Energy Storage System and Photovoltaic Panels in Distribution Networks," Energies, MDPI, vol. 16(5), pages 1-20, March.
    7. Sangjib Kwon & Hyungbae Gil & Seoin Baek & Heetae Kim, 2022. "Optimal Solution for a Renewable-Energy-Generation System at a Private Educational Institute in South Korea," Energies, MDPI, vol. 15(24), pages 1-11, December.
    8. Yirga Belay Muna & Cheng-Chien Kuo, 2022. "Feasibility and Techno-Economic Analysis of Electric Vehicle Charging of PV/Wind/Diesel/Battery Hybrid Energy System with Different Battery Technology," Energies, MDPI, vol. 15(12), pages 1-20, June.
    9. Gong, Lili & Cao, Wu & Liu, Kangli & Yu, Yue & Zhao, Jianfeng, 2020. "Demand responsive charging strategy of electric vehicles to mitigate the volatility of renewable energy sources," Renewable Energy, Elsevier, vol. 156(C), pages 665-676.
    10. Abdullahi Abubakar Mas’ud & Hassan Zuhair Al-Garni, 2021. "Optimum Configuration of a Renewable Energy System Using Multi-Year Parameters and Advanced Battery Storage Modules: A Case Study in Northern Saudi Arabia," Sustainability, MDPI, vol. 13(9), pages 1-17, May.
    11. Rahman, Syed & Khan, Irfan Ahmed & Khan, Ashraf Ali & Mallik, Ayan & Nadeem, Muhammad Faisal, 2022. "Comprehensive review & impact analysis of integrating projected electric vehicle charging load to the existing low voltage distribution system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 153(C).
    12. Muhammad Aqil Afham Rahmat & Ag Sufiyan Abd Hamid & Yuanshen Lu & Muhammad Amir Aziat Ishak & Shaikh Zishan Suheel & Ahmad Fazlizan & Adnan Ibrahim, 2022. "An Analysis of Renewable Energy Technology Integration Investments in Malaysia Using HOMER Pro," Sustainability, MDPI, vol. 14(20), pages 1-24, October.
    13. Erdinc, O. & Uzunoglu, M., 2012. "Optimum design of hybrid renewable energy systems: Overview of different approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(3), pages 1412-1425.
    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. Wardah Afzal & Li-Ye Zhao & Guang-Zhi Chen & Yu Xue, 2023. "Hybrid Wind/PV E-Bike Charging Station: Comparison of Onshore and Offshore Systems," Sustainability, MDPI, vol. 15(20), pages 1-19, October.

    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. Ibrahim Alsaidan & Mohd Bilal & Muhannad Alaraj & Mohammad Rizwan & Fahad M. Almasoudi, 2023. "A Novel EA-Based Techno–Economic Analysis of Charging System for Electric Vehicles: A Case Study of Qassim Region, Saudi Arabia," Mathematics, MDPI, vol. 11(9), pages 1-31, April.
    2. Xiaogang Pan & Kangli Liu & Jianhua Wang & Yutao Hu & Jianfeng Zhao, 2023. "Capacity Allocation Method Based on Historical Data-Driven Search Algorithm for Integrated PV and Energy Storage Charging Station," Sustainability, MDPI, vol. 15(6), pages 1-16, March.
    3. Beretta, Gian Paolo & Iora, Paolo & Ghoniem, Ahmed F., 2014. "Allocating resources and products in multi-hybrid multi-cogeneration: What fractions of heat and power are renewable in hybrid fossil-solar CHP?," Energy, Elsevier, vol. 78(C), pages 587-603.
    4. Lukáš Dvořáček & Martin Horák & Jaroslav Knápek, 2022. "Simulation of Electric Vehicle Charging Points Based on Efficient Use of Chargers and Using Recuperated Braking Energy from Trains," Energies, MDPI, vol. 15(2), pages 1-28, January.
    5. Domenech, B. & Ferrer-Martí, L. & Pastor, R., 2015. "Hierarchical methodology to optimize the design of stand-alone electrification systems for rural communities considering technical and social criteria," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 182-196.
    6. Hai Lu & Jiaquan Yang & Kari Alanne, 2018. "Energy Quality Management for a Micro Energy Network Integrated with Renewables in a Tourist Area: A Chinese Case Study," Energies, MDPI, vol. 11(4), pages 1-24, April.
    7. Mehrabankhomartash, Mahmoud & Rayati, Mohammad & Sheikhi, Aras & Ranjbar, Ali Mohammad, 2017. "Practical battery size optimization of a PV system by considering individual customer damage function," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 36-50.
    8. Youssef Amry & Elhoussin Elbouchikhi & Franck Le Gall & Mounir Ghogho & Soumia El Hani, 2022. "Electric Vehicle Traction Drives and Charging Station Power Electronics: Current Status and Challenges," Energies, MDPI, vol. 15(16), pages 1-30, August.
    9. Bahramara, S. & Moghaddam, M. Parsa & Haghifam, M.R., 2016. "Optimal planning of hybrid renewable energy systems using HOMER: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 609-620.
    10. Zhou, Yuekuan & Cao, Sunliang & Hensen, Jan L.M., 2021. "An energy paradigm transition framework from negative towards positive district energy sharing networks—Battery cycling aging, advanced battery management strategies, flexible vehicles-to-buildings in," Applied Energy, Elsevier, vol. 288(C).
    11. Al Busaidi, Ahmed Said & Kazem, Hussein A & Al-Badi, Abdullah H & Farooq Khan, Mohammad, 2016. "A review of optimum sizing of hybrid PV–Wind renewable energy systems in oman," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 185-193.
    12. Sinha, Sunanda & Chandel, S.S., 2014. "Review of software tools for hybrid renewable energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 192-205.
    13. Gómez, Sergio Yesid & Hotza, Dachamir, 2016. "Current developments in reversible solid oxide fuel cells," Renewable and Sustainable Energy Reviews, Elsevier, vol. 61(C), pages 155-174.
    14. 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.
    15. Bernardos, Eva & López, Ignacio & Rodríguez, Javier & Abánades, Alberto, 2013. "Assessing the potential of hybrid fossil–solar thermal plants for energy policy making: Brayton cycles," Energy Policy, Elsevier, vol. 62(C), pages 99-106.
    16. Hou, Hongjuan & Xu, Zhang & Yang, Yongping, 2016. "An evaluation method of solar contribution in a solar aided power generation (SAPG) system based on exergy analysis," Applied Energy, Elsevier, vol. 182(C), pages 1-8.
    17. Sinha, Sunanda & Chandel, S.S., 2015. "Review of recent trends in optimization techniques for solar photovoltaic–wind based hybrid energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 755-769.
    18. Guanglei Wang & Hassan Hijazi, 2018. "Mathematical programming methods for microgrid design and operations: a survey on deterministic and stochastic approaches," Computational Optimization and Applications, Springer, vol. 71(2), pages 553-608, November.
    19. Alya AlHammadi & Nasser Al-Saif & Ameena Saad Al-Sumaiti & Mousa Marzband & Tareefa Alsumaiti & Ehsan Heydarian-Forushani, 2022. "Techno-Economic Analysis of Hybrid Renewable Energy Systems Designed for Electric Vehicle Charging: A Case Study from the United Arab Emirates," Energies, MDPI, vol. 15(18), pages 1-20, September.
    20. Andrea Micangeli & Davide Fioriti & Paolo Cherubini & Pablo Duenas-Martinez, 2020. "Optimal Design of Isolated Mini-Grids with Deterministic Methods: Matching Predictive Operating Strategies with Low Computational Requirements," Energies, MDPI, vol. 13(16), pages 1-19, August.

    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:jsusta:v:15:y:2023:i:13:p:9931-:d:1176493. 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.