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Solar potential assessment of public bus routes for solar buses

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  • ur Rehman, Naveed
  • Hijazi, Mohamad
  • Uzair, Muhammad

Abstract

Current work investigates a method for evaluating the solar potential of public bus routes for solar electric buses. As access of solar radiation to roads is generally hindered by natural and man-made structures in the surroundings, the methodology involved taking several fisheye images along the chosen bus route. The visible sky and the structures were then separated using an automated image processing algorithm, also presented in this work. Then, these processed images were deployed in a solar assessment model to yield the weighted average yearly solar irradiation on the route. This was then compared with the energy requirements of an electric bus to see what fraction of its demand could be offset. For the case study, an existing public bus route in Invercargill (New Zealand) was analyzed. An appropriate fisheye camera was installed on the rooftop of a vehicle to obtain the images. It was found that installing solar panels on the rooftop of an electric bus may offset ∼8.5% of the electricity demand. This study will help councils (and/or bus contractors) to make decisions about moving to solar photovoltaic integrated electric buses, based on their designated routes.

Suggested Citation

  • ur Rehman, Naveed & Hijazi, Mohamad & Uzair, Muhammad, 2020. "Solar potential assessment of public bus routes for solar buses," Renewable Energy, Elsevier, vol. 156(C), pages 193-200.
    • Handle: RePEc:eee:renene:v:156:y:2020:i:c:p:193-200
    DOI: 10.1016/j.renene.2020.04.081
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    References listed on IDEAS

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    1. Antonio García-Ferrer & Marcos Bujosa & Aránzazu de Juan & Pilar Poncela, 2006. "Demand Forecast and Elasticities Estimation of Public Transport," Journal of Transport Economics and Policy, University of Bath, vol. 40(1), pages 45-67, January.
    2. Shaahid, S.M. & Elhadidy, M.A., 2007. "Technical and economic assessment of grid-independent hybrid photovoltaic-diesel-battery power systems for commercial loads in desert environments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(8), pages 1794-1810, October.
    3. Hofierka, Jaroslav & Kaňuk, Ján, 2009. "Assessment of photovoltaic potential in urban areas using open-source solar radiation tools," Renewable Energy, Elsevier, vol. 34(10), pages 2206-2214.
    4. Jung, Jaehoon & Han, SangUk & Kim, Byungil, 2019. "Digital numerical map-oriented estimation of solar energy potential for site selection of photovoltaic solar panels on national highway slopes," Applied Energy, Elsevier, vol. 242(C), pages 57-68.
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    Cited by:

    1. Zhenqiang Han & Weidong Zhou & Aimin Sha & Liqun Hu & Runjie Wei, 2023. "Assessing the Photovoltaic Power Generation Potential of Highway Slopes," Sustainability, MDPI, vol. 15(16), pages 1-26, August.
    2. Dariusz Masłowski & Małgorzata Dendera-Gruszka & Ewa Kulińska, 2021. "A Decision-Making Model on the Impact of Vehicle Use on Urban Safety," Sustainability, MDPI, vol. 13(6), pages 1-17, March.
    3. 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).
    4. Bryam Paúl Lojano-Riera & Carlos Flores-Vázquez & Juan-Carlos Cobos-Torres & David Vallejo-Ramírez & Daniel Icaza, 2023. "Electromobility with Photovoltaic Generation in an Andean City," Energies, MDPI, vol. 16(15), pages 1-16, July.

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