Distributed Estimation and Prediction of Radiation for Solar Energy Plants (CODISOL)
Francisco R. Rubio,
Universidad de Sevilla –
Abstract:
The purpose of this research project is the study and development of a pilot system for cloud detection and short-term prediction of solar radiation in solar fields. The system is intended to allow the detection of cloud distributions and predict the fraction of the solar field that will be affected by a reduced radiation as a consequence of passing clouds. The cloud detector would eventually allow the control system to anticipate the effect of these disturbances, which have an impact on the optimization and efficiency of the operation. The prediction could additionally be used to manipulate the plant’s fundamental variables, and allow a proper foresight and planning of the use of auxiliary power sources to maintain the output power as close as possible to the intended daily generation reference.
Predictive models will be developed based on meteorological measurements and images collected by a number of fisheye cameras deployed at the plant. Once developed the model, the camera system will be used as a network of distributed sensors for predicting the solar radiation.
The results and algorithms developed will be assessed in their application to a solar installations. A small size experimental setup available at the laboratories of the Department of Systems and Automation at the School of Engineering of Seville.
Bio
Francisco R. Rubio is full professor at the dep. of Sistemas y Automatica of Esculela Superior de Ingenieros of Univ. of Sevilla, Spain. He is co-author of the books Control of Solar Energy Systems, and Advanced Control of Solar Plants, both published by Springer and currently coordinates the project CODISOL.
Date: 2016-Mar-31 Time: 15:00:00 Room: DEEC Meeting room, Campus Alameda, Torre Norte, room 5.9
For more information:
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