The team harnessed data from the Advanced Geostationary Radiation Imager on the Fengyun-4A (FY-4A) satellite, coupled with a random forest model and a physical model chain. This sophisticated combination enabled the creation of a comprehensive photovoltaic (PV) resource map, highlighting untapped solar energy potential across China.
The FY-4A satellite, the first of its kind in China's new generation of geostationary satellites, has been instrumental in improving solar resourcing and forecasting. GAO Ling from NSMC underscored the advantages of the satellite's broader field-of-view in enhancing the reliability of solar radiation data over China, in contrast to measurements from other satellites like Himawari or Meteosat.
Moving beyond the conventional, Prof. XIA Xiang'ao from IAP/CAS noted that the team's work expands on typical global horizontal irradiance (GHI) methods. Instead, their research incorporates effective irradiance, a vital factor for accurate solar resource assessment for PV applications.
YANG Dazhi, HIT professor and co-author of the research paper, acknowledged that this shift from focusing on irradiance to PV resourcing typifies the contemporary energy-meteorology-style of solar resource assessment.
A defining feature of the research is the use of the physical model chain, an advanced workflow that links a series of energy meteorology models. This innovative method allowed the team to produce impressively accurate estimates of in-plane irradiance, offering significant prospects for the future of solar resource evaluation.
The resulting solar PV resource map will be an invaluable tool for stakeholders involved in the design, planning, and operation of solar energy systems. It provides a detailed understanding of China's solar energy landscape, enabling informed decision-making towards a sustainable and green energy future.
The research, first authored by Dr. SHI Hongrong from IAP/CAS, has been published in the journal Renewable and Sustainable Energy Reviews.
This collaboration between FY-4A satellite technology and artificial intelligence stands as a landmark in China's journey toward carbon neutrality. By setting a new precedent in solar resource mapping, it contributes an innovative approach to the global quest for renewable energy.
Research Report:First estimation of high-resolution solar photovoltaic resource maps over China with Fengyun-4A satellite and machine learning
Related Links
Institute of Atmospheric Physics, Chinese Academy of Sciences
All About Solar Energy at SolarDaily.com
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