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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.
    3. Wenjun Chen & Yanlei Zhu & Meng Yang & Jiahai Yuan, 2017. "Optimal Site Selection of Wind-Solar Complementary Power Generation Project for a Large-Scale Plug-In Charging Station," Sustainability, MDPI, vol. 9(11), pages 1-22, October.
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    Cited by:

    1. 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).
    2. 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.
    3. 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).
    4. 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.
    5. 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).
    6. 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.
    7. 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).
    8. 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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