A novel heat exchanger network retrofit approach based on performance reassessment

•A new model with performance reassessment is developed for HEN retrofit problem.•Temperature and duty distributions are affected by areas of reused heat exchangers.•The deviation between supply and demand of area is considered.•Network retrofitting has considerable retrofit profit with a short payb...

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Bibliographic Details
Published in:	Energy conversion and management Vol. 177; pp. 477 - 492
Main Authors:	Jiang, Ning, Han, Wenqiao, Guo, Fengyuan, Yu, Hangsheng, Xu, Yingjie, Mao, Ning
Format:	Journal Article
Language:	English
Published:	Oxford Elsevier Ltd 01-12-2018 Elsevier Science Ltd
Subjects:	Case studies Computer simulation Energy conservation Energy recovery Exchanger reassignment strategy Genetic algorithm Genetic algorithms Heat Heat exchange Heat exchanger network retrofit Heat exchangers Heat recovery Heat transfer Investment Load distribution Load distribution (forces) Optimization Performance degradation Performance simulation Retrofitting Reuse Stress concentration Temperature distribution Exchanger reassignment strategy Heat exchanger network retrofit Performance simulation Genetic algorithm
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Summary:	•A new model with performance reassessment is developed for HEN retrofit problem.•Temperature and duty distributions are affected by areas of reused heat exchangers.•The deviation between supply and demand of area is considered.•Network retrofitting has considerable retrofit profit with a short payback period.•7–59% energy saving and 59–79% heat recovery rate are obtained in case studies. Reusing as many existing heat exchangers as possible is one of the most important strategies in retrofitting of heat exchanger networks, which can reduce investment costs and increase heat recovery in the process industry. However, the performance degradation of the existing heat exchangers due to the rough increase or decrease of the heat exchange area during the reuse of the heat exchanger seriously affects the effective implementation of the heat exchanger network retrofit scheme. To fully evaluate the performance of a heat exchanger network, a new methodology for heat exchanger network retrofit is proposed in this work. The performance simulation is introduced into heat exchanger network retrofit model to reassess the performance of reused heat exchange units. The temperature distribution and heat load distribution in the network are corrected. So the performance indicators of the retrofitted network can be accurately evaluated and then the optimal decision can be made. Genetic algorithm is adopted for the optimization of the proposed retrofit problem. Case studies show that the proposed retrofit method can achieve energy saving of 7–59% with a relatively short payback period of investment, and energy recovery of the retrofitted network can reach 59–79%.
ISSN:	0196-8904 1879-2227
DOI:	10.1016/j.enconman.2018.10.001