Multi-Objective Optimal Design and Operation of Heat Exchanger Networks with Controllability Consideration

Siwen Gu, Xiuna Zhuang, Chenying Li, Shuai Zhang, Jiaan Wang and Yu Zhuang ()
Additional contact information
Siwen Gu: School of Photoelectric Engineering, Changzhou Institute of Technology; Changzhou 213032, China
Xiuna Zhuang: Lanshan District Government Service Center, Rizhao 276807, China
Chenying Li: Wanhua Chemical Group Co., Ltd., Yantai 264013, China
Shuai Zhang: Frontiers Science Center for Smart Materials Oriented Chemical Engineering, Institute of Chemical Process Systems Engineering, School of Chemical Engineering, Dalian University of Technology, Dalian 116024, China
Jiaan Wang: School of Photoelectric Engineering, Changzhou Institute of Technology; Changzhou 213032, China
Yu Zhuang: Frontiers Science Center for Smart Materials Oriented Chemical Engineering, Institute of Chemical Process Systems Engineering, School of Chemical Engineering, Dalian University of Technology, Dalian 116024, China

Sustainability, 2022, vol. 14, issue 22, 1-21

Abstract: Controllability reflects the ease that a process can be controlled in practical operating environment. However, an unclear influence between the HEN synthesis and the control structure selection has been not investigated for the work of controllability of heat exchanger network (HEN). To address this challenge, this paper proposes a multi-objective optimization method by considering both the quantitative measures of economic and controllability, i.e., minimizing the total annual cost (TAC) and the relative gain array number (RGAn). This method is developed using a HEN synthesis procedure where a model-based superstructure is employed to involve the set of the network configuration alternatives and all the potential control structures. The effects of minimum approach temperature ( ΔT min ) on the multi-objective optimization problem are investigated to distinguish the consistent and opposite variations of TAC and RGAn. The consistent change enables us to solve the single objective optimization problem for economical HEN design as well as for taking controllability into account. The opposite change prompts the Pareto front of the two objectives in order to develop a trade-off strategy. Results indicate that this method helps in the determination of the relationship-based nature between network configuration and control structure to yield a HEN design with economic and controllability considerations.

Keywords: heat exchanger networks (HENs); control structure; controllability; synthesis (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/14/22/15128/pdf (application/pdf)
https://www.mdpi.com/2071-1050/14/22/15128/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:14:y:2022:i:22:p:15128-:d:973375

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().