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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union

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Atmos. Meas. Tech., 7, 1693-1700, 2014
https://doi.org/10.5194/amt-7-1693-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article
12 Jun 2014
Cloud shadow speed sensor
V. Fung, J. L. Bosch, S. W. Roberts, and J. Kleissl Department of Mechanical and Aerospace Engineering, University of California, San Diego, California, USA
Abstract. Changing cloud cover is a major source of solar radiation variability and poses challenges for the integration of solar energy. A compact and economical system is presented that measures cloud shadow motion vectors to estimate power plant ramp rates and provide short-term solar irradiance forecasts. The cloud shadow speed sensor (CSS) is constructed using an array of luminance sensors and a high-speed data acquisition system to resolve the progression of cloud passages across the sensor footprint. An embedded microcontroller acquires the sensor data and uses a cross-correlation algorithm to determine cloud shadow motion vectors. The CSS was validated against an artificial shading test apparatus, an alternative method of cloud motion detection from ground-measured irradiance (linear cloud edge, LCE), and a UC San Diego sky imager (USI). The CSS detected artificial shadow directions and speeds to within 15° and 6% accuracy, respectively. The CSS detected (real) cloud shadow directions and speeds with average weighted root-mean-square difference of 22° and 1.9 m s−1 when compared to USI and 33° and 1.5 m s−1 when compared to LCE results.

Citation: Fung, V., Bosch, J. L., Roberts, S. W., and Kleissl, J.: Cloud shadow speed sensor, Atmos. Meas. Tech., 7, 1693-1700, https://doi.org/10.5194/amt-7-1693-2014, 2014.
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