An enhanced heuristic algorithm with coordination evolution strategy for waste-mass minimization and heat integration network design. (November 2022)
- Record Type:
- Journal Article
- Title:
- An enhanced heuristic algorithm with coordination evolution strategy for waste-mass minimization and heat integration network design. (November 2022)
- Main Title:
- An enhanced heuristic algorithm with coordination evolution strategy for waste-mass minimization and heat integration network design
- Authors:
- Xu, Yue
Cui, Guomin
Xiao, Yuan
Zhang, Guanhua
Yang, Qiguo - Abstract:
- Abstract: The issue of clean production and energy efficiency has become a major concern, especially in the chemical and processing industries. In this paper, an enhanced optimization algorithm satisfying heat-waste minimization and waste-mass minimization is proposed. First, a nodes-based non-structural model and random walk algorithm with compulsive evolution for mass exchanger network synthesis are constructed. The optimization mode of continuous variables is analyzed after analyzing the characteristics of the mass exchange process. To enhance the optimization ability of the heuristic algorithm, a novel coordinated evolution strategy combining the dynamic operations of the walk length optimization and participating evolution probability adjustment is proposed. The proposed strategy can adjust the walk length via an instant objective function change and simultaneously controls the participating evolution of the number of units for effective coupled evolution. The quantified data show that the proposed strategy assists the algorithm in enhancing the local and global optimization abilities, with the final TACs of a benchmark aromatic plant case and phenol absorption process achieved being 125, 457 $/yr and 334, 696.6 $/yr, respectively. To evaluate the effectiveness of the proposed strategy, it was successfully applied in two industrial-scale cases of heat exchanger network synthesis, where the TAC of the aromatics plant case achieved was 2, 892, 800 $/yr while the TAC of aAbstract: The issue of clean production and energy efficiency has become a major concern, especially in the chemical and processing industries. In this paper, an enhanced optimization algorithm satisfying heat-waste minimization and waste-mass minimization is proposed. First, a nodes-based non-structural model and random walk algorithm with compulsive evolution for mass exchanger network synthesis are constructed. The optimization mode of continuous variables is analyzed after analyzing the characteristics of the mass exchange process. To enhance the optimization ability of the heuristic algorithm, a novel coordinated evolution strategy combining the dynamic operations of the walk length optimization and participating evolution probability adjustment is proposed. The proposed strategy can adjust the walk length via an instant objective function change and simultaneously controls the participating evolution of the number of units for effective coupled evolution. The quantified data show that the proposed strategy assists the algorithm in enhancing the local and global optimization abilities, with the final TACs of a benchmark aromatic plant case and phenol absorption process achieved being 125, 457 $/yr and 334, 696.6 $/yr, respectively. To evaluate the effectiveness of the proposed strategy, it was successfully applied in two industrial-scale cases of heat exchanger network synthesis, where the TAC of the aromatics plant case achieved was 2, 892, 800 $/yr while the TAC of a gasoline distillation case was 5, 089, 402.7 $/yr. … (more)
- Is Part Of:
- Case studies in thermal engineering. Volume 39(2022)
- Journal:
- Case studies in thermal engineering
- Issue:
- Volume 39(2022)
- Issue Display:
- Volume 39, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 39
- Issue:
- 2022
- Issue Sort Value:
- 2022-0039-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-11
- Subjects:
- Mass exchanger network -- Heat exchanger network -- Heuristic algorithm -- Coordination evolution -- Parameter optimization -- Random walk algorithm -- Waste-mass minimization
Heat engineering -- Case studies -- Periodicals
621.40205 - Journal URLs:
- http://www.sciencedirect.com/science/journal/2214157X/ ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.csite.2022.102458 ↗
- Languages:
- English
- ISSNs:
- 2214-157X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 24117.xml