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| Titel |
Cloud shadow speed sensor |
| VerfasserIn |
V. Fung, J. L. Bosch, S. W. Roberts, J. Kleissl |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1867-1381
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| Digitales Dokument |
URL |
| Erschienen |
In: Atmospheric Measurement Techniques ; 7, no. 6 ; Nr. 7, no. 6 (2014-06-12), S.1693-1700 |
| Datensatznummer |
250115817
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| Publikation (Nr.) |
 copernicus.org/amt-7-1693-2014.pdf |
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| Zusammenfassung |
| 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. |
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