Cloud Motion Derivation with a Pyranometer Array Measurements

Yuehai Zheng; Xinggu Zhang; Guojun Peng
April 2013
International Journal of Computer & Electrical Engineering;Apr2013, Vol. 5 Issue 2, p183
Academic Journal
Solar power system is becoming the principal power source for navigation-aids, due to its own advantages, such as renewability, eco- friendly and low maintenance expense. Solar radiation forecasting, which directly forecasts the variability of solar radiation, plays an important role in improving the efficiency of the utilization of solar power. Since clouds are the main source of such variability and their motion is a principal input to most short-term forecasting models, in this article we present two different algorithms based on the correlation between the signals from different sensors to derive the cloud motion vector. An array with 8 pyranometers is built up in the UC San Diego campus for solar radiation measurements. The two models achieved in this study proved to be in good agreement to each other. Additional measurements from nearby METAR and radiosonde stations also show comparable results.


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