期刊
ENERGY CONVERSION AND MANAGEMENT
卷 101, 期 -, 页码 126-135出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.enconman.2015.05.009
关键词
Plate-fin heat exchanger; Multi-objective optimization; Improved multi-objective cuckoo search algorithm; Entropy generation minimization (EGM); Entransy dissipation minimization (EDM)
资金
- Chinese State Science and Technology Support Program [2012BAA08B03]
- Specialized Research Fund for the Doctoral Program of University by MOE China [201302011110069]
This paper introduces and applies an improved multi-objective cuckoo search (IMOCS) algorithm, a novel met-heuristic optimization algorithm based on cuckoo breeding behavior, for the multi-objective optimization design of plate-fin heat exchangers (PFHEs). A modified irreversibility degree of the PFHE is separated into heat transfer and fluid friction irreversibility degrees which are adopted as two initial objective functions to be minimized simultaneously for narrowing the search scope of the design. The maximization efficiency, minimization of pumping power, and total annual cost are considered final objective functions. Results obtained from a two dimensional normalized Pareto-optimal frontier clearly demonstrate the trade-off between heat transfer and fluid friction irreversibility. Moreover, a three dimensional Pareto-optimal frontier reveals a relationship between efficiency, total annual cost, and pumping power in the PFHE design. Three examples presented here further demonstrate that the presented method is able to obtain optimum solutions with higher accuracy, lower irreversibility, and fewer iterations as compared to the previous methods and single-objective design approaches. (C) 2015 Elsevier Ltd. All rights reserved.
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