Efficient synthesis of heat exchanger networks combining heuristic approaches with a genetic algorithm |
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| Authors: | Christopher Brandt Georg Fieg Xing Luo |
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| Institution: | (1) Institute of Process and Plant Engineering, Hamburg University of Technology, 21071 Hamburg, Germany;(2) Institute of Thermodynamics, Helmut Schmidt University, 22043 Hamburg, Germany;(3) Institute of Thermal Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China |
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| Abstract: | In this work an innovative method for heat exchanger network (HEN) synthesis is introduced and examined. It combines a genetic
algorithm (GA) with a heuristic based optimization procedure. The novel algorithm removes appearing heat load loops from the
HEN structures when profitable, throughout the evolution. Two examples were examined with the new HEN synthesis method and
for both better results were obtained. Thus, a positive effect of heuristic based optimization methods on the HEN synthesis
with GA could be located. |
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