<p>Rooftop photovoltaic (RPV) is often understood as a niche contribution to climate change mitigation. However, the global potential of RPVs to mitigate global warming is unknown. Here we map the global rooftop area at 1-km resolution, quantifying 286,393 km<sup>2</sup> of rooftops worldwide through geospatial data mining and artificial intelligence techniques. Using nine advanced Earth system models from the coupled model intercomparison project phase 6, we reveal that RPVs could substantially contribute to reducing global temperatures by 0.05–0.13 °C before 2050. Region-specific analysis underscores the variability in RPV potential and the necessity of tailored approaches to optimize RPV deployment, considering local solar resources, existing infrastructure and grid carbon intensity. Our findings reveal that leveraging RPV systems offers a viable and impactful strategy for reducing carbon footprints and combating climate change globally, while advocating targeted interventions to enhance the benefits of RPVs, particularly in areas with high solar radiation or rapid urbanization.</p>

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Worldwide rooftop photovoltaic electricity generation may mitigate global warming

  • Zhixin Zhang,
  • Zhen Qian,
  • Min Chen,
  • Rui Zhu,
  • Fan Zhang,
  • Teng Zhong,
  • Jian Lin,
  • Liang Ning,
  • Wei Xie,
  • Felix Creutzig,
  • Wenjun Tang,
  • Laibao Liu,
  • Jiachuan Yang,
  • Ye Pu,
  • Wenjia Cai,
  • Yingxia Pu,
  • Deer Liu,
  • Hui Yang,
  • Hongjun Su,
  • Mingyue Lu,
  • Fei Li,
  • Xufeng Cui,
  • Zhiwei Xie,
  • Tianyu Sheng,
  • Kai Zhang,
  • Paolo Santi,
  • Lixin Tian,
  • Guonian Lü,
  • Jinyue Yan

摘要

Rooftop photovoltaic (RPV) is often understood as a niche contribution to climate change mitigation. However, the global potential of RPVs to mitigate global warming is unknown. Here we map the global rooftop area at 1-km resolution, quantifying 286,393 km2 of rooftops worldwide through geospatial data mining and artificial intelligence techniques. Using nine advanced Earth system models from the coupled model intercomparison project phase 6, we reveal that RPVs could substantially contribute to reducing global temperatures by 0.05–0.13 °C before 2050. Region-specific analysis underscores the variability in RPV potential and the necessity of tailored approaches to optimize RPV deployment, considering local solar resources, existing infrastructure and grid carbon intensity. Our findings reveal that leveraging RPV systems offers a viable and impactful strategy for reducing carbon footprints and combating climate change globally, while advocating targeted interventions to enhance the benefits of RPVs, particularly in areas with high solar radiation or rapid urbanization.