Cited by 25Electric Vehicles and InfrastructureHybrid Renewable Energy SystemsIntegrated Energy Systems Optimization

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

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Ihm, Jieun, Amghar, Bilal, Chun, Sejin, Park, Herie·2023·Sustainability

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.

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  • The prior South Korean study [23] concentrated on Korean scenarios only and is missing discussion on multi-region diversity, hydrogen systems, grid-connected systems, and second-life battery impacts.

    “Concentrated on Korean scenarios only; missing discussion on multi-re-gion diversity, hydro-gen systems, grid-con-nected systems, and sec-ond-life battery impacts.”

    From Designing a Sustainable Off-Grid EV Charging Station: Analysis Across Urban and Remote Canadian Regions (2026) · cites this paper as [23]

    The Abstract and Section 3 describe a case study at one Korean charging station, supporting the limited geographic scope. But Section 2.1.4 explicitly discusses connection to the utility grid, and the Conclusions identify PV/ESS/Grid as the optimal configuration, so the claim that grid-connected systems are missing is incorrect. The Introduction also mentions hydrogen systems in its review of other studies, though the paper does not analyze them as part of its own case study. (LLM, conf=0.88)

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References 29 · Cited by 25

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  1. Kwon, S.; Gil, H.; Baek, S.; Kim, H. Optimal Solution for a Renewable-Energy-Generation System at a Private Educational Institute in South Korea. Energies 2022, 15, 9430. [CrossRef] · DOI
  2. Ekren, O.; Hakan Canbaz, C.; Güvel, Ç.B. Sizing of a Solar-Wind Hybrid Electric Vehicle Charging Station by Using HOMER Software. J. Clean. Prod. 2021, 279, 123615. [CrossRef] · DOI
  3. Un-Noor, F.; Padmanaban, S.; Mihet-Popa, L.; Mollah, M.N.; Hossain, E. A Comprehensive Study of Key Electric Vehicle (EV) Components, Technologies, Challenges, Impacts, and Future Direction of Development. Energies 2017, 10, 1217. [CrossRef] · DOI
  4. Bodansky, D. The Paris Climate Change Agreement: A New Hope? Am. J. Int. Law 2016, 110, 288-319. [CrossRef] · DOI
  5. Ihm, J.; Chun, S.; Park, H. Optimal Scenarios of Renewables and Chargers for an Electric Vehicle Charging Station Using Public Data. In Proceedings of the SCEMS 2022-2022 IEEE 5th Student Conference on Electric Machines and Systems, Busan, Republic of Korea, 24-26 November 2022.
  6. Park, H.; Bae, S. Quantitative Assessment of Energy Supply Security: Korea Case Study. Sustainability 2021, 13, 1854. [CrossRef] · DOI
  7. McKenzie, K.A. Sun, Wind and Waves: Ev Fossil Fuel Use and Emissions on an Isolated, Oil-Dependent Hawaiian Island. World Electr. Veh. J. 2021, 12, 87. [CrossRef] · DOI
  8. Rahman, S.; Khan, I.A.; Khan, A.A.; Mallik, A.; Nadeem, M.F. Comprehensive Review & Impact Analysis of Integrating Projected Electric Vehicle Charging Load to the Existing Low Voltage Distribution System. Renew. Sustain. Energy Rev. 2022, 153, 111756.
  9. CrossRef] · DOI
  10. Zhuang, Z.; Jin, T. Capacity Configuration and Control Strategy of EV Charging Station with Integrated Wind Power and Energy Storage Based on SSA. In Proceedings of the 5th IEEE Conference on Energy Internet and Energy System Integration: Energy Internet for Carbon Neutrality, EI2 2021, Taiyuan, China, 22-24 October 2021; pp. 4316-4322. [CrossRef] · DOI
  11. Zainab, F.; Naz, K.; Mehmood, K.K.; Basit, S.; Bukhari, A.; Wadood, A.; Khalid, H.A.; Park, H. An Optimal Joint Planning of DGs and Electric Vehicle Charging Stations in Grid-Connected and Islanded Microgrids. IET Renew. Power Gener. 2023, 17, 1623-1634. [CrossRef] · DOI
  12. Zhang, B.; Dehghanian, P.; Kezunovic, M. Optimal Allocation of PV Generation and Battery Storage for Enhanced Resilience. IEEE Trans. Smart Grid 2019, 10, 535-545. [CrossRef] · DOI
  13. Gong, L.; Cao, W.; Liu, K.; Yu, Y.; Zhao, J. Demand Responsive Charging Strategy of Electric Vehicles to Mitigate the Volatility of Renewable Energy Sources. Renew. Energy 2020, 156, 665-676. [CrossRef] · DOI
  14. Wu, Z.; Bhat, P.K.; Chen, B. Optimal Configuration of Extreme Fast Charging Stations Integrated with Energy Storage System and Photovoltaic Panels in Distribution Networks. Energies 2023, 16, 2385. [CrossRef] · DOI
  15. Erdinc, O.; Uzunoglu, M. Optimum Design of Hybrid Renewable Energy Systems: Overview of Different Approaches. Renew. Sustain. Energy Rev. 2012, 16, 1412-1425. [CrossRef] · DOI
  16. Saadatmand, M.; Gharehpetian, G.B.; Siano, P.; Alhelou, H.H. PMU-Based FOPID Controller of Large-Scale Wind-PV Farms for LFO Damping in Smart Grid. IEEE Access 2021, 9, 94953-94969. [CrossRef] · DOI
  17. Shivarama Krishna, K.; Sathish Kumar, K. A Review on Hybrid Renewable Energy Systems. Renew. Sustain. Energy Rev. 2015, 52, 907-916. [CrossRef] · DOI
  18. Riayatsyah, T.M.I.; Geumpana, T.A.; Rizwanul Fattah, I.M.; Rizal, S.; Indra Mahlia, T.M. Techno-Economic Analysis and Optimisation of Campus Grid-Connected Hybrid Renewable Energy System Using HOMER Grid. Sustainability 2022, 14, 7735. [CrossRef] · DOI
  19. Al Essa, M.J.M. Energy Assessments of a Photovoltaic-Wind-Battery System for Residential Appliances in Iraq. J. Energy Storage 2023, 59, 106514. [CrossRef] · DOI
  20. Tiam Kapen, P.; Medjo Nouadje, B.A.; Chegnimonhan, V.; Tchuen, G.; Tchinda, R. Techno-Economic Feasibility of a PV/Battery/Fuel Cell/Electrolyzer/Biogas Hybrid System for Energy and Hydrogen Production in the Far North Region of Cameroon by Using HOMER Pro. Energy Strategy Rev. 2022, 44, 100988. [CrossRef] · DOI
  21. Rahmat, M.A.A.; Abd Hamid, A.S.; Lu, Y.; Ishak, M.A.A.; Suheel, S.Z.; Fazlizan, A.; Ibrahim, A. An Analysis of Renewable Energy Technology Integration Investments in Malaysia Using HOMER Pro. Sustainability 2022, 14, 13684. [CrossRef] · DOI
  22. Mas'Ud, A.A.; Al-Garni, H.Z. Optimum Configuration of a Renewable Energy System Using Multi-Year Parameters and Advanced Battery Storage Modules: A Case Study in Northern Saudi Arabia. Sustainability 2021, 13, 5123. [CrossRef] · DOI
  23. Muna, Y.B.; Kuo, C.C. Feasibility and Techno-Economic Analysis of Electric Vehicle Charging of PV/Wind/Diesel/Battery Hybrid Energy System with Different Battery Technology. Energies 2022, 15, 4364. [CrossRef] · DOI
  24. Al Wahedi, A.; Bicer, Y. Techno-Economic Optimization of Novel Stand-Alone Renewables-Based Electric Vehicle Charging Stations in Qatar. Energy 2022, 243, 123008. [CrossRef] · DOI
  25. Karmaker, A.K.; Ahmed, M.R.; Hossain, M.A.; Sikder, M.M. Feasibility Assessment & Design of Hybrid Renewable Energy Based Electric Vehicle Charging Station in Bangladesh. Sustain. Cities Soc. 2018, 39, 189-202. [CrossRef] · DOI
  26. Kim, J.H.; Moon, S.K.; Lee, B.S.; Seo, I.J.; Kim, C.H. Analysis and Pattern Deduction of Actual Electric Vehicle Charging Data. Trans. Korean Inst. Electr. Eng. 2018, 67, 1455-1462. [CrossRef] · DOI
  27. Arunachalam, R.K.; Chandrasekaran, K.; Rusu, E.; Ravichandran, N.; Fayek, H.H. Economic Feasibility of a Hybrid Microgrid System for a Distributed Substation. Sustainability 2023, 15, 3133. [CrossRef] · DOI
  28. Bansal, S.; Zong, Y.; You, S.; Mihet-Popa, L.; Xiao, J. Technical and Economic Analysis of One-Stop Charging Stations for Battery and Fuel Cell EV with Renewable Energy Sources. Energies 2020, 13, 2855. [CrossRef] · DOI
  29. Amini, S.; Bahramara, S.; Golpîra, H.; Francois, B.; Soares, J. Techno-Economic Analysis of Renewable-Energy-Based Micro-Grids Considering Incentive Policies. Energies 2022, 15, 8285. [CrossRef] · DOI
  30. Aziz, A.S.; Tajuddin, M.F.N.; Hussain, M.K.; Adzman, M.R.; Ghazali, N.H.; Ramli, M.A.M.; Khalil Zidane, T.E. A New Optimiza- tion Strategy for Wind/Diesel/Battery Hybrid Energy System. Energy 2022, 239, 122458. [CrossRef · DOI

Authors
Ihm, J., Amghar, B., Chun, S., & Park, H.
Affiliations
  • Dong-A University (KR)
  • École Spéciale des Travaux Publics (FR)
Corresponding author
  • Chun, Sejin
  • Park, Herie
Venue
Sustainability
Publisher
MDPI AG
Published
2023-06-21
Volume
15
Issue
13
Pages
9931
ISSN
2071-1050 (ISSN-L)
OpenAlex
W4381617340
Cited by
25
References
29
Citations by year
2026: 6 · 2025: 7 · 2024: 8 · 2023: 4
FWCI
1.86
Type
journal article
Language
en
Open access
Locations
  • Sustainability (publishedVersion, cc-by)
  • RePEc: Research Papers in Economics (submittedVersion)
Funders
  • National Research Foundation of Korea (2020R1I1A1A01073797, 2021R1F1A10550937)
  • Ministry of Education (2020R1I1A1A01073797, 2021R1F1A10550937)
  • ESTP research fund (2020R1I1A1A01073797, 2021R1F1A10550937)
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
  • Physical Sciences › Energy › Energy Engineering and Power Technology › Hybrid Renewable Energy Systems
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Integrated Energy Systems Optimization
Keywords
electric vehicle charging stations, renewable energy generation, photovoltaic systems, wind turbines, energy storage systems, CO2 emissions, economic evaluation, renewable fraction, electricity profile, Homer, operational strategy, South Korea

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