A new framework for work and heat exchange network synthesis and optimization

•A framework for work and heat exchange networks synthesis is presented.•Work and heat recovery superstructures are coupled with a master matrix.•A meta-heuristic approach is adapted to solve the derived model.•The method is applied to examples based on real cases.•Solutions to the examples have low...

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Bibliographic Details
Published in:Energy conversion and management 2019-03, Vol.183, p.617-632
Main Authors: Pavão, Leandro V., Costa, Caliane B.B., Ravagnani, Mauro A.S.S.
Format: Article
Language:English
Subjects:
Heat
Heat exchange
Heat recovery
Heat recovery systems
Heat transfer
Heuristic methods
Liquefied natural gas
Mathematical modeling
Meta-heuristics
Network synthesis
Objective function
Optimization
Process engineering
Process synthesis
Superstructures
Work and heat exchange networks
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Summary:•A framework for work and heat exchange networks synthesis is presented.•Work and heat recovery superstructures are coupled with a master matrix.•A meta-heuristic approach is adapted to solve the derived model.•The method is applied to examples based on real cases.•Solutions to the examples have lower costs than those reported in the literature. Energy integration is a matter of substantial importance in process engineering. Much attention was given in the last decades, in special, to heat recovery. However, recently, simultaneous work and heat recovery has arisen as an important area of study in process engineering. It has been demonstrated that work and heat exchange networks (WHEN) may improve the energetic efficiency of processes such as liquefied natural gas (LNG) production. Optimization-based frameworks for WHEN synthesis developed so far are based on deterministic approaches and commercial solver implementations. This work aimed to present a novel alternative framework based on a matrix-based implementation fit for the use of a meta-heuristic solution approach. The superstructure employed is inspired on previous literature and extended for a broader analysis. The method was applied to three examples, being two based on real processes. In benchmark tests, the approach was able to outperform all other solutions reported with respect to total annual cost, the objective function adopted in these studies.
ISSN:0196-8904
1879-2227
DOI:10.1016/j.enconman.2019.01.018