Enhanced optimization of single and multi-component mass exchanger networks using parallelization and adaptive relaxation

This paper proposes an innovative simultaneous optimization approach for single and multi-component mass exchanger network synthesis (MENS). A retrofitted stage-wise superstructure and a parallelized random walk algorithm with compulsive evolution (RWCE) are adopted. An iterative calculation method...

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Veröffentlicht in:Frontiers of chemical science and engineering Jg. 19; H. 2; S. 10
Hauptverfasser: Liu, Siqi, Zhou, Zhiqiang, Xiao, Yuan, Duan, Huanhuan, Cui, Guomin
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Beijing Higher Education Press 01.02.2025
Springer Nature B.V
Schlagworte:
adaptive relaxation
Chemistry
Chemistry and Materials Science
Convergence
Evolutionary algorithms
incompatible multi-component
Industrial Chemistry/Chemical Engineering
mass exchanger network (MEN)
Mass transfer
Nanotechnology
Network synthesis
Optimization
optimization efficiency
Parallel processing
parallelization algorithm
Parametric analysis
Random walk
Research Article
Retrofitting
stage-wise superstructure
Superstructures
mass exchanger network (MEN)
stage-wise superstructure
incompatible multi-component
parallelization algorithm
optimization efficiency
adaptive relaxation
ISSN:2095-0179, 2095-0187
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Zusammenfassung:This paper proposes an innovative simultaneous optimization approach for single and multi-component mass exchanger network synthesis (MENS). A retrofitted stage-wise superstructure and a parallelized random walk algorithm with compulsive evolution (RWCE) are adopted. An iterative calculation method is designed to satisfy the requirements of multi-component mass transfer, with a relaxation for the outlet composition of the lean streams. The parametric analysis shows that the relaxation coefficient plays a major role in driving the convergence of the method. To improve the robustness of the established model, an adaptive relaxation coefficient strategy is implemented for multi-component MENS problems. In a divergence situation, the outlet concentration of the lean stream can be adjusted automatically by a random relaxation coefficient. Finally, three industrial MENS examples are considered in this work, whose total annual cost (TAC) are reduced by 7179, 2212, and 551 $·year -1. The corresponding optimization times are obtained to be 336, 125, and 145 s. The results indicate improvements in the economy and time, demonstrating that the parallelized RWCE can yield an optimal TAC and optimization efficiency compared to previous results. Overall, the adaptive relaxation coefficient strategy enhances the convergence for multi-component MENS problems.
Bibliographie:Document received on :2024-08-18
mass exchanger network (MEN)
stage-wise superstructure
incompatible multi-component
Document accepted on :2024-10-14
parallelization algorithm
optimization efficiency
adaptive relaxation
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:2095-0179
2095-0187
DOI:10.1007/s11705-025-2522-9