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Supervisor of Master's Candidates
Title : Director of R & D Center of Membrane Science and Technology
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基于遗传/模拟退火算法考虑压降的换热网络优化改造
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Indexed by:Journal Article
Date of Publication:2022-06-29
Journal:化工进展
Issue:4
Page Number:1171-1177
ISSN:1000-6613
Abstract:This paper simulated optimization method for retrofitting existing heat exchanging networks(HENs). Based on the non-isothermal mixing of splits stage-wise heat exchangers network superstructure,a MINLP model to retrofit heat exchangers network was established. This model simultaneously considered the tradeoffs among the utility costs,the additional heat transfer areas costs, the new heat exchangers costs and the added powers costs. A stage-wise superstructure model for design of new HENs was improved by adding constraining conditions and binary variables. By analyzing an existing heat exchanger network,the GA/SA (genetic algorithm/simulated annealing algorithm) algorithm was applied to retrofit of the HEN with full utilization of the existing heat exchangers and structure. The results showed that the method presented in this paper reduced utility loads much more and the investment costs,resulting a faster investment pay-back period to 0.53 years. Therefore,this method provided a feasible solution to the heat exchanging net work renovation.
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