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    Simulation and optimization of pulsating heat pipe flat-plate solar collectors using neural networks and genetic algorithm: a semi-experimental investigation

    , Article Clean Technologies and Environmental Policy ; Volume 18, Issue 7 , 2016 , Pages 2251-2264 ; 1618954X (ISSN) Jalilian, M ; Kargarsharifabad, H ; Abbasi Godarzi, A ; Ghofrani, A ; Shafii, M. B ; Sharif University of Technology
    Springer Verlag  2016
    Abstract
    This research study presents an investigation on the behavior of a Pulsating Heat Pipe Flat-Plate Solar Collector (PHPFPSC) by artificial neural network method and an optimization of the parameters of the collector by genetic algorithm. In this study, several experiments were performed to study the effects of various evaporator lengths, filling ratios, inclination angles, solar radiation, and input chilled water temperature between 9:00 A.M. to 5:00 P.M., and the output temperature of the water tank, which was the output of the system, was also measured. According to the input and output information, multilayer perceptron neural network was trained and used to predict the behavior of the...