Cloud shadow speed sensor

Autor: J.L. Bosch, Jan Kleissl, S. W. Roberts, V. Fung
Jazyk: angličtina
Rok vydání: 2014
Předmět:
Zdroj: Fung, V; Bosch, JL; Roberts, SW; & Kleissl, J. (2014). Cloud shadow speed sensor. Atmospheric Measurement Techniques, 7(6), 1693-1700. doi: 10.5194/amt-7-1693-2014. UC San Diego: Retrieved from: http://www.escholarship.org/uc/item/9480c97h
Atmospheric Measurement Techniques, Vol 7, Iss 6, Pp 1693-1700 (2014)
Atmospheric Measurement Techniques, vol 7, iss 6
ISSN: 1867-8548
DOI: 10.5194/amt-7-1693-2014.
Popis: 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.
Databáze: OpenAIRE
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