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Assessment of solar photovoltaic potentials on urban noise barriers using street-view imagery

Author

Listed:
  • Zhong, Teng
  • Zhang, Kai
  • Chen, Min
  • Wang, Yijie
  • Zhu, Rui
  • Zhang, Zhixin
  • Zhou, Zixuan
  • Qian, Zhen
  • Lv, Guonian
  • Yan, Jinyue

Abstract

Solar energy captured by solar photovoltaic (PV) systems has great potential to meet the high demand for renewable energy sources in urban areas. A photovoltaic noise barrier (PVNB) system, which integrates a PV system with a noise barrier, is a promising source for harvesting solar energy to overcome the problem of having limited land available for solar panel installations. When estimating the solar PV potential at the city scale, it is difficult to identify sites for installing solar panels. A computational framework is proposed for estimating the solar PV potential of PVNB systems based on both existing and planned noise barrier sites. The proposed computational framework can identify suitable sites for installing photovoltaic panels. A deep learning-based method is used to detect existing noise barrier sites from massive street-view images. The planned noise barrier sites are identified with urban policies. Based on the existing and planned sites of noise barriers in Nanjing, the annual solar PV potentials in 2019 are 29,137 MW h and 113,052 MW h, respectively. The estimation results show that the potential PVNB systems based on the existing and planned noise barrier in 2019 have the potential installed capacity of 14.26 MW and 57.24 MW, with corresponding potential annual power generation of 4662 MW h and 18,088 MW h, respectively.

Suggested Citation

  • Zhong, Teng & Zhang, Kai & Chen, Min & Wang, Yijie & Zhu, Rui & Zhang, Zhixin & Zhou, Zixuan & Qian, Zhen & Lv, Guonian & Yan, Jinyue, 2021. "Assessment of solar photovoltaic potentials on urban noise barriers using street-view imagery," Renewable Energy, Elsevier, vol. 168(C), pages 181-194.
    • Handle: RePEc:eee:renene:v:168:y:2021:i:c:p:181-194
    DOI: 10.1016/j.renene.2020.12.044
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    1. Wadhawan, Siddharth R. & Pearce, Joshua M., 2017. "Power and energy potential of mass-scale photovoltaic noise barrier deployment: A case study for the U.S," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 125-132.
    2. Berwal, Anil K. & Kumar, Sanjay & Kumari, Nisha & Kumar, Virender & Haleem, Abid, 2017. "Design and analysis of rooftop grid tied 50kW capacity Solar Photovoltaic (SPV) power plant," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 1288-1299.
    3. De Schepper, Ellen & Van Passel, Steven & Manca, Jean & Thewys, Theo, 2012. "Combining photovoltaics and sound barriers – A feasibility study," Renewable Energy, Elsevier, vol. 46(C), pages 297-303.
    4. Khan, Jibran & Arsalan, Mudassar Hassan, 2016. "Estimation of rooftop solar photovoltaic potential using geo-spatial techniques: A perspective from planned neighborhood of Karachi – Pakistan," Renewable Energy, Elsevier, vol. 90(C), pages 188-203.
    5. Bódis, Katalin & Kougias, Ioannis & Jäger-Waldau, Arnulf & Taylor, Nigel & Szabó, Sándor, 2019. "A high-resolution geospatial assessment of the rooftop solar photovoltaic potential in the European Union," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
    6. Raptis, P.I. & Kazadzis, S. & Psiloglou, B. & Kouremeti, N. & Kosmopoulos, P. & Kazantzidis, A., 2017. "Measurements and model simulations of solar radiation at tilted planes, towards the maximization of energy capture," Energy, Elsevier, vol. 130(C), pages 570-580.
    7. Hermann, Weston A., 2006. "Quantifying global exergy resources," Energy, Elsevier, vol. 31(12), pages 1685-1702.
    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. Kanellis, Michalis & de Jong, Minne M. & Slooff, Lenneke & Debije, Michael G., 2017. "The solar noise barrier project: 1. Effect of incident light orientation on the performance of a large-scale luminescent solar concentrator noise barrier," Renewable Energy, Elsevier, vol. 103(C), pages 647-652.
    10. Freitas, S. & Catita, C. & Redweik, P. & Brito, M.C., 2015. "Modelling solar potential in the urban environment: State-of-the-art review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 915-931.
    11. Gu, Minan & Liu, Yongsheng & Yang, Jingjing & Peng, Lin & Zhao, Chunjiang & Yang, Zhenglong & Yang, Jinhuan & Fang, Wengjian & Fang, Jin & Zhao, Zhenjie, 2012. "Estimation of environmental effect of PVNB installed along a metro line in China," Renewable Energy, Elsevier, vol. 45(C), pages 237-244.
    12. Kumar Sahu, Bikash, 2015. "A study on global solar PV energy developments and policies with special focus on the top ten solar PV power producing countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 621-634.
    13. Yang, Ying & Campana, Pietro Elia & Stridh, Bengt & Yan, Jinyue, 2020. "Potential analysis of roof-mounted solar photovoltaics in Sweden," Applied Energy, Elsevier, vol. 279(C).
    14. Pillot, Benjamin & Al-Kurdi, Nadeem & Gervet, Carmen & Linguet, Laurent, 2020. "An integrated GIS and robust optimization framework for solar PV plant planning scenarios at utility scale," Applied Energy, Elsevier, vol. 260(C).
    Full references (including those not matched with items on IDEAS)

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