Solar Power Plants Get Help from Satellites to Predict Cloud Cover

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The output of solar energy systems is highly dependent on cloud cover.

While weather forecasting can be used to predict the amount of sunlight reaching ground-based solar collectors, cloud cover is often characterized in simple terms, such as cloudy, partly cloudy or clear. This does not provide accurate information for estimating the amount of sunlight available for solar power plants.

In this week’s Journal of Renewable and Sustainable Energy, from AIP Publishing, a new method is reported for estimating cloud optical properties using data from recently launched satellites. This new technique is known as Spectral Cloud Optical Property Estimation, or SCOPE.

In 2016, NASA began launching a new generation of Geostationary Operational Environmental Satellites, the GOES-R series. These satellites occupy fixed positions above the Earth’s surface. Each is equipped with several sophisticated instruments, including the Advanced Baseline Imager, or ABI, which can detect radiation upwelling from the Earth at specific wavelengths.

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