Using satellite images to predict solar irradiance for sub-tropical South China
Refereed conference paper presented and published in conference proceedings

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AbstractSolar irradiance data with a high temporal and spatial resolution is an essential input for the potential assessment, design, planning and performance monitoring of solar energy system. However, solar radiation data is not available in most places of South China except big cities such as Hong Kong and Guangzhou. Researchers in other countries proposed some statistical models to derive solar irradiance under their local climate conditions. Sub-tropical South China has different climate condition from other places. Therefore we propose to develop a statistical satellite-based method to derive solar radiation data for South China which is based on statistical regression between satellite radiometer in given areas and the simultaneous solar radiation value measured at the earth's surface by pyranometers in ground stations. The precisions (RMSE) on a daily basis are 23-29% for the global irradiance.
All Author(s) ListHe Z., Ng E.
Name of ConferenceSOLAR 2008: Catch the Clean Energy Wave, Including 37th ASES Annual Conference, 33rd National Passive Solar Conference and 3rd Renewable Energy Policy and Marketing Conference
Start Date of Conference03/05/2008
End Date of Conference08/05/2008
Place of ConferenceSan Diego, CA
Country/Region of ConferenceUnited States of America
Detailed descriptionorganized by American Solar Energy Society,
Volume Number1
Pages373 - 398
LanguagesEnglish-United Kingdom

Last updated on 2020-04-06 at 23:18