Abstract
Heat exchangers are frequently characterized by heat transfer process, flow rating, exchanger capacity and configuration. Among all exchangers, shell and tube exchangers have versatile application in several domains. In order to evaluate the performance parameters of Shell and Tube Heat Exchanger (STHX), simulation modeling is proposed in this study. Here, thermal parameters such as exergetic plant efficiency, energetic cycle efficiency, electric power and also fouling factor and cost are analyzed with the help of Feed Forward Back Propagation Network (FFBN) algorithm. To predict those thermal parameters, we considered input parameters such as tube configurations (30, 40, 60 and 90), different fluids, surface, and temperature. In the validation process, different training algorithms are used to train the network structure. Moreover, the Improved Grey Wolf Optimization (IGWO) is used to optimize the trained network structure. The result of the proposed work implemented in MATLAB software reaches the optimal value; it maximizes exergetic plant efficiency, energetic cycle efficiency, and electrical power by 98.11%, 97.4%, and 96.35% respectively. Further investigation significantly minimizes cost and fouling effect for heat exchanger.
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