Fuzzy rule-based model for optimum orientation of solar panels using satellite image processing

13th European Workshop on Advanced Control and Diagnosis

Zaher, A.^1 ; N'Goran, Y.^2 ; Thiery, F.^1 ; Grieu, S.^1 ; Traoré, A.^1

CNRS-PROMES Laboratory, Rambla de la Thermodynamique, Perpignan

66100, France^1

LPMCT, Universitéde Cocody, Abidjan

22 BP 582, Ivory Coast^2

关键词: Converting systems;    Diffuse radiation;    Experimental prototype;    Fuzzy inference systems;    Fuzzy rule-based models;    Orientation of solar panel;    Satellite image processing;    Solar tracking systems;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/783/1/012058/pdf
DOI  :  10.1088/1742-6596/783/1/012058

来源: IOP

【 摘 要 】

In solar energy converting systems, a particular attention is paid to the orientation of solar collectors in order to optimize the overall system efficiency. In this context, the collectors can be fixed or oriented by a continuous solar tracking system. The proposed approach is based on METEOSAT images processing in order to detect the cloud coverage and its duration. These two parameters are treated by a fuzzy inference system deciding the optimal position of the solar panel. In fact, three weather cases can be considered: clear, partly covered or overcast sky. In the first case, the direct sunlight is more important than the diffuse radiation, thus the panel is always pointed towards the sun. In the overcast case, the solar beam is close to zero and the panel is placed horizontally to receive the diffuse radiation. Under partly covered conditions, the fuzzy inference system decides which of the previous positions is more efficient. The proposed approach is implemented using experimental prototype located in Perpignan (France). On a period of 17 months, the results are very satisfactory, with power gains of up to 23 % compared to the collectors oriented by a continuous solar tracking.