Title: The Entropy Generation Minimisation based on the Revised Entropy Generation Number

Authors: Jiangfeng Guo, Lin Cheng, Mingtian Xu

Addresses: Institute of Thermal Science and Technology, Shandong University, Jinan 250061, China. ' Institute of Thermal Science and Technology, Shandong University, Jinan 250061, China. ' Institute of Thermal Science and Technology, Shandong University, Jinan 250061, China

Abstract: In the present work, an improved Entropy Generation Minimisation (EGM) approach aiming at minimising the revised entropy generation number which is the non-dimensionalised entropy by the ratio of heat flow to the input temperature of the cold fluid is developed for a plate-fin heat exchanger design with multiple design variables with the help of genetic algorithm. It is found that the approach can decrease the total fan power dramatically and improve the exchanger effectiveness simultaneously. Finally, this approach is applied to a heat recovery system where the heat exchanger works as a component of the system.

Keywords: revised EGN; entropy generation number; plate-fin heat exchangers; GAs; genetic algorithms; optimisation design; EGM; entropy generation minimisation; heat flow; input temperature; cold fluids; fan power.

DOI: 10.1504/IJEX.2010.034932

International Journal of Exergy, 2010 Vol.7 No.5, pp.607 - 626

Published online: 31 Aug 2010 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article