Heat exchanger network retrofit with heat exchanger and material type selection: A review and a novel method
Bohong Wang,
Jiří Jaromír Klemeš,
Nianqi Li,
Min Zeng,
Petar Sabev Varbanov and
Yongtu Liang
Renewable and Sustainable Energy Reviews, 2021, vol. 138, issue C
Abstract:
Heat Integration with heat exchanger network (HEN) is a widely used way to save energy and improve efficiency. Varied types of heat exchangers and materials would influence the investment cost and affect the design of HEN retrofit. This paper critically reviews the features of various types of heat exchangers, their working conditions and investment costs, as well as the state-of-the-art of the current methods for HEN synthesis and retrofit, to introduce a framework for HEN retrofit which considers heat exchanger and material selection. The proposed framework divides the retrofit design process into two stages, diagnosis and optimisation. In the diagnosis stage, two graphical decision-making tools, the Shifted Retrofit Thermodynamic Grid Diagram with Shifted Heat Exchanger Temperature Range (SRTGD-SHTR) and Shifted Material Temperature Range (SRTGD-SMTR) are proposed for analysis and diagnosis of the existing HEN to determine feasible retrofit plans with pre-selected heat exchangers and materials. In the optimisation stage, the constrained particle swarm optimisation algorithm is applied to optimise the plans made in the first stage and minimise the total annual cost. A case study demonstrates a possible implementation of the proposed framework. The suitable types for new heat exchangers and their materials are selected, and the retrofitted design can reduce the utility cost by 8.9% compared with the existing HEN. This framework can be applied easily with a sound solution for HEN retrofit.
Keywords: Heat integration; Heat exchanger; Heat exchanger network; Retrofit; Graphical approach (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (12)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:rensus:v:138:y:2021:i:c:s1364032120307656
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DOI: 10.1016/j.rser.2020.110479
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