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Assessing the Photovoltaic Power Generation Potential of Highway Slopes

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  • Zhenqiang Han

    (School of Highway, Chang’an University, Xi’an 710064, China
    Key Laboratory for Special Area Highway Engineering of Ministry of Education, Chang’an University, Xi’an 710064, China)

  • Weidong Zhou

    (School of Highway, Chang’an University, Xi’an 710064, China)

  • Aimin Sha

    (School of Highway, Chang’an University, Xi’an 710064, China
    Key Laboratory for Special Area Highway Engineering of Ministry of Education, Chang’an University, Xi’an 710064, China)

  • Liqun Hu

    (School of Highway, Chang’an University, Xi’an 710064, China
    Key Laboratory for Special Area Highway Engineering of Ministry of Education, Chang’an University, Xi’an 710064, China)

  • Runjie Wei

    (School of Highway, Chang’an University, Xi’an 710064, China)

Abstract

The solar photovoltaic (PV) power generation system (PGS) is a viable alternative to fossil fuels for the provision of power for infrastructure and vehicles, reducing greenhouse gas emissions and enhancing the sustainability of road transport systems. A highway slope is generally an idle public area with high accessibility, which is the ideal application scenario for a PV PGS. The assessment of PV power generation potential (PGP) is key for the planning and design of PV PGS projects. Previous approaches to potential assessments are mainly based on digital maps and image processing techniques, which do not fully consider the impacts of the highway orientation, the slope geometric characteristics, and the PV panel placement scheme on the evaluation results. Therefore, this study proposes an assessment method for the PV PGP on highway slopes using the design or calculated highway and slope geometric parameters and the solar radiation received by PV panels under the desirable placement scheme. Highway segmentation and geometric parameter calculation methods were established, and the optimal PV array placement schemes for typical slope orientations were determined by simulating the PV power generation in the software PVsyst (version 7.2). Afterwards, the theoretical PGP could be calculated using the received solar radiation and the available slope area. By subtracting the energy loss caused by temperature changes, the operation of inverters, and the PV modules’ performance decay, the actual PV PGP could be obtained. Finally, a case study of the solar PGP assessment of a 1.97 km long highway section is provided, and the feasibility of the proposed method is verified.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:16:p:12159-:d:1213400
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    References listed on IDEAS

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    1. Dehwah, Ammar H.A. & Asif, Muhammad, 2019. "Assessment of net energy contribution to buildings by rooftop photovoltaic systems in hot-humid climates," Renewable Energy, Elsevier, vol. 131(C), pages 1288-1299.
    2. Yang, Qing & Huang, Tianyue & Wang, Saige & Li, Jiashuo & Dai, Shaoqing & Wright, Sebastian & Wang, Yuxuan & Peng, Huaiwu, 2019. "A GIS-based high spatial resolution assessment of large-scale PV generation potential in China," Applied Energy, Elsevier, vol. 247(C), pages 254-269.
    3. Lee, Nathan & Grunwald, Ursula & Rosenlieb, Evan & Mirletz, Heather & Aznar, Alexandra & Spencer, Robert & Cox, Sadie, 2020. "Hybrid floating solar photovoltaics-hydropower systems: Benefits and global assessment of technical potential," Renewable Energy, Elsevier, vol. 162(C), pages 1415-1427.
    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.
    5. Ghaleb, Belal & Asif, Muhammad, 2022. "Assessment of solar PV potential in commercial buildings," Renewable Energy, Elsevier, vol. 187(C), pages 618-630.
    6. Yuan, Dongdong & Jiang, Wei & Sha, Aimin & Xiao, Jingjing & Wu, Wangjie & Wang, Teng, 2023. "Technology method and functional characteristics of road thermoelectric generator system based on Seebeck effect," Applied Energy, Elsevier, vol. 331(C).
    7. Kim, Soullam & Lee, Yuhwa & Moon, Hak-Ryong, 2018. "Siting criteria and feasibility analysis for PV power generation projects using road facilities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 3061-3069.
    8. Huang, Zhaojian & Mendis, Thushini & Xu, Shen, 2019. "Urban solar utilization potential mapping via deep learning technology: A case study of Wuhan, China," Applied Energy, Elsevier, vol. 250(C), pages 283-291.
    9. 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.
    10. Hao Cai & Ling Liang & Jing Tang & Qianxian Wang & Lihong Wei & Jiaping Xie, 2019. "An Empirical Study on the Efficiency and Influencing Factors of the Photovoltaic Industry in China and an Analysis of Its Influencing Factors," Sustainability, MDPI, vol. 11(23), pages 1-22, November.
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