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Estimation of photovoltaic potential of solar bus in an urban area: Case study in Gwanak, Seoul, Korea

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  • Oh, Myeongchan
  • Kim, Sung-Min
  • Park, Hyeong-Dong

Abstract

The photovoltaic industry has experienced rapid growth due to the decrease in price of solar panels and various incentive policies. However, it is not widely utilized as a source of energy for transportation. Studies on photovoltaic potential are required for their use in solar vehicles; they exhibit high potential given the development of solar panels and electric vehicles. The amount of electricity generated on the road through a solar bus was estimated using geographic information systems. The solar potential of town buses in the urban area of Seoul city is analyzed as a case study. Data with a high spatial resolution of 1 m and high temporal resolution of 1 min are obtained to estimate accurate results for moving objects. Thus, the mean generated power per bus is estimated as 2.7 kWh/day with a capacity factor corresponding to 5.57%. The energy can be used to supply basic services that use power in the bus. The results are validated via experiments with a developed mobile sensor. It is expected that the methodology proposed in the study will aid in understanding the potential of a solar bus and can be applied in various studies on solar vehicles.

Suggested Citation

  • Oh, Myeongchan & Kim, Sung-Min & Park, Hyeong-Dong, 2020. "Estimation of photovoltaic potential of solar bus in an urban area: Case study in Gwanak, Seoul, Korea," Renewable Energy, Elsevier, vol. 160(C), pages 1335-1348.
    • Handle: RePEc:eee:renene:v:160:y:2020:i:c:p:1335-1348
    DOI: 10.1016/j.renene.2020.07.048
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    References listed on IDEAS

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    1. Pang, Wei & Yu, Hongwen & Zhang, Yongzhe & Yan, Hui, 2019. "Solar photovoltaic based air cooling system for vehicles," Renewable Energy, Elsevier, vol. 130(C), pages 25-31.
    2. Myeongchan Oh & Hyeong-Dong Park, 2019. "Optimization of Solar Panel Orientation Considering Temporal Volatility and Scenario-Based Photovoltaic Potential: A Case Study in Seoul National University," Energies, MDPI, vol. 12(17), pages 1-17, August.
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    Cited by:

    1. Baek, Jieun & Choi, Yosoon, 2023. "Optimal installation and operation planning of parking spaces for solar-powered electric vehicles using hemispherical images," Renewable Energy, Elsevier, vol. 219(P1).
    2. Meneghetti, Antonella & Dal Magro, Fabio & Romagnoli, Alessandro, 2021. "Renewable energy penetration in food delivery: Coupling photovoltaics with transport refrigerated units," Energy, Elsevier, vol. 232(C).
    3. Tian, B. & Loonen, R.C.G.M. & Bognár, Á. & Hensen, J.L.M., 2022. "Impacts of surface model generation approaches on raytracing-based solar potential estimation in urban areas," Renewable Energy, Elsevier, vol. 198(C), pages 804-824.
    4. Ding, Feng & Yang, Jianping & Zhou, Zan, 2023. "Economic profits and carbon reduction potential of photovoltaic power generation for China's high-speed railway infrastructure," Renewable and Sustainable Energy Reviews, Elsevier, vol. 178(C).
    5. Bie, Yiming & Qin, Wei & Wu, Jiabin, 2024. "Optimal electric bus scheduling method under hybrid energy supply mode of photovoltaic-energy storage system-power grid," Applied Energy, Elsevier, vol. 372(C).
    6. Sun, Lejia & Jia, Jingqi & Wang, QuanLi & Zhang, Yimeng, 2024. "A novel multiphase DC/DC boost converter for interaction of solar energy and hydrogen fuel cell in hybrid electric vehicles," Renewable Energy, Elsevier, vol. 229(C).
    7. Antonella Meneghetti & Chiara Pagnin & Patrizia Simeoni, 2021. "Decarbonizing the Cold Chain: Long-Haul Refrigerated Deliveries with On-Board Photovoltaic Energy Integration," Sustainability, MDPI, vol. 13(15), pages 1-19, July.
    8. Wendeker, Mirosław & Gęca, Michał Jan & Grabowski, Łukasz & Pietrykowski, Konrad & Kasianantham, Nanthagopal, 2022. "Measurements and analysis of a solar-assisted city bus with a diesel engine," Applied Energy, Elsevier, vol. 309(C).
    9. Li, Bi & Li, Zhinong & He, Deqiang, 2024. "Research and optimization of energy management system for photovoltaic vehicles," Energy, Elsevier, vol. 289(C).
    10. Kim, Hanjin & Ku, Jiyoon & Kim, Sung-Min & Park, Hyeong-Dong, 2022. "A new GIS-based algorithm to estimate photovoltaic potential of solar train: Case study in Gyeongbu line, Korea," Renewable Energy, Elsevier, vol. 190(C), pages 713-729.
    11. Rigogiannis, Nick & Perpinias, Ioannis & Bogatsis, Ioannis & Roidos, Ioannis & Vagiannis, Nick & Zournatzis, Athanasios & Kyritsis, Anastasios & Papanikolaou, Nick & Kalogirou, Soteris, 2023. "Energy yield estimation of on-vehicle photovoltaic systems in urban environments," Renewable Energy, Elsevier, vol. 215(C).
    12. Chen, Haoqian & Sui, Yi & Shang, Wen-long & Sun, Rencheng & Chen, Zhiheng & Wang, Changying & Han, Chunjia & Zhang, Yuqian & Zhang, Haoran, 2022. "Towards renewable public transport: Mining the performance of electric buses using solar-radiation as an auxiliary power source," Applied Energy, Elsevier, vol. 325(C).

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