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<p>Solar photovoltaic (PV) systems have great potential to supply renewable energy and support the transition of urban energy structures. While integrating PV technology into public facilities is a promising strategy for expanding PV deployment in urban areas, the PV potential of standardized bus stops, which are numerous and widely distributed across cities, remains insufficiently assessed. To address this gap, this study proposes a framework to quantify the PV potential of bus stop roofs by integrating bus stop point-of-interest (POI) data, street view images, and solar trajectory simulations. The research results reveal two key findings. Firstly, the theoretical annual electricity generation of bus stop photovoltaic (BSPV) systems in Guangzhou, China, can reach 5,531.67 MWh, which is equivalent to powering approximately 84,196 LED streetlights for one year. Secondly, BSPV potential exhibits distinct spatio-temporal variability: it follows a unimodal seasonal pattern (peaking in early summer and dropping to its minimum in March), while significant spatial heterogeneity is observed. Specifically, the central urban districts (e.g., Yuexiu, Liwan, Haizhu, and Tianhe) show relatively low BSPV potential due to severe building shading. In contrast, peripheral districts (including Huadu, northern Baiyun, Huangpu, Panyu, and Nansha) demonstrate notably higher BSPV potential. Additionally, areas along the Pearl River also possess considerable PV potential. The study provides a data-driven solution for urban planners to deploy distributed energy systems via public infrastructure. Furthermore, the findings offer scientific guidance for decision-making related to urban sustainable development and low-carbon transport planning.</p>

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Assessment of Bus Stop Photovoltaic Potential in Guangzhou, China: Integrating Street View Imagery and Solar Trajectory Simulation

  • 期刊论文

  • 发表日期：

    2026年6月29日

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  • Zihao Zhong,
  • Shuyuan Xu,
  • Qisheng Zeng,
  • Shaoying Li

摘要

Solar photovoltaic (PV) systems have great potential to supply renewable energy and support the transition of urban energy structures. While integrating PV technology into public facilities is a promising strategy for expanding PV deployment in urban areas, the PV potential of standardized bus stops, which are numerous and widely distributed across cities, remains insufficiently assessed. To address this gap, this study proposes a framework to quantify the PV potential of bus stop roofs by integrating bus stop point-of-interest (POI) data, street view images, and solar trajectory simulations. The research results reveal two key findings. Firstly, the theoretical annual electricity generation of bus stop photovoltaic (BSPV) systems in Guangzhou, China, can reach 5,531.67 MWh, which is equivalent to powering approximately 84,196 LED streetlights for one year. Secondly, BSPV potential exhibits distinct spatio-temporal variability: it follows a unimodal seasonal pattern (peaking in early summer and dropping to its minimum in March), while significant spatial heterogeneity is observed. Specifically, the central urban districts (e.g., Yuexiu, Liwan, Haizhu, and Tianhe) show relatively low BSPV potential due to severe building shading. In contrast, peripheral districts (including Huadu, northern Baiyun, Huangpu, Panyu, and Nansha) demonstrate notably higher BSPV potential. Additionally, areas along the Pearl River also possess considerable PV potential. The study provides a data-driven solution for urban planners to deploy distributed energy systems via public infrastructure. Furthermore, the findings offer scientific guidance for decision-making related to urban sustainable development and low-carbon transport planning.