Abstract :
Due to low heat transfer capability, the thermal efficiency of solar collectors is very low and various techniques are implemented to
increase the performance of solar air heaters. There is a need for optimization of design and operating parameters for maximizing the
thermal gain from the solar air heating systems. In this paper a stochastic iterative perturbation technique (SIPT) is implemented to
obtain the optimized set of different system and operating parameters i.e. the number of glass cover plate, emissivity of the plate, mean
plate temperature, rise in temperature, tilt angle and solar radiation intensity for different Reynolds number. The results obtained have
also been compared with the results obtained from genetic algorithm and random search global optimization technique for smooth flat
plate solar air heater.
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