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Application of Random Search Technique to Optimize Performance of Solar Air Heater

Sunil Baloda, Arvind Dahiya

Abstract


The present study involves implementation of random search technique in order to optimize
the thermal performance of a flat-plate solar air heater. The maximum thermal performance
was evaluated over a wide range of operating conditions and the optimal sets of design and
operating parameters were predicted. The range of input data considered in this study
includes: Reynolds number, tilt angle, solar radiation intensity, emissivity of glass plate,
number of glass cover plates and surrounding temperature. In this work, thermal
performance corresponding to optimal set of parameters has been evaluated.


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References


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