Abstract
Organic Rankine Cycle (ORC) is applied in the shell and tube heat exchanger to enhance the efficiency of the exchanger. Existing methods involves in applying the optimization method in ORC in shell and tube heat exchanger to improve the performance. In this paper, the modified Kinetic Gas Molecule Optimization (KGMO) method is applied in four fluids to improve the performance of the exchanger. Four fluids such as R245fa, R134a, R290, and R600a were used to evaluate the performance of modified KGMO method. In KGMO, the worst learning particles affects the performance of the optimization in the convergence. The modified KGMO method involves in applying the feedback learning method to improve the learning performance of worst particles in KGMO. The proposed modified KGMO method is compared with existing methods of Bell-Delaware and KGMO. The proposed modified KGMO method has the enhancement factor of 2.8 and Bell-Delaware method has 1.51 enhancement factor.
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