Özet:

The efficiency of Solar Water Collector (SWH) is low and in order to increase its thermal performances various optimization techniques were used. In this paper, a stochastic method (Genetic Algorithm (GA)) was adopted to increase the efficiency of the active SWH under various climatic conditions and for a various operation parameters. The optimization model was introducing a lot of objectives in order to evaluate the optimality of the SWH. For the dynamic Reynolds number, solar radiation intensity and ambient temperature, different values of plate emissivity, a different number of the glass cover and velocity of air, the thermal performance was obtained and it is compared with the experimental results of [16]. It is established by the studies carried out based upon this algorithm that the maximum thermal efï¬ciency comes out to be 75,28 %. The application of our results was applied in such application as heating anaerobic digester by SWH [17]. The goal is to support decision makers in the deï¬nition of the optimal thermal performance and of the optimal collector flat area in order to give a good compromise between the collector efï¬ciency and the output water temperature in the country.

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