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Research Article | Open Access

Multiperiod optimization of cooling water system with flexible topology network

Bo Liua,b, Ruimei Zhangc, Ye Liuc, Yufei Wanga( ), Ali Almansoorib, Xiao Fengd
School of Chemical Engineering and Environment, China University of Petroleum, Beijing, 102249, China
Department of Chemical Engineering, Khalifa University of Science and Technology, Abu Dhabi, 127788, United Arab Emirates
CHN Energy Xinjiang Chemical Co. LTD, Urumqi, Xinjiang, 830092, China
School of Chemical Engineering & Technology, Xi'an Jiaotong University, Xi'an, 710049, China
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HIGHLIGHTS

· A flexible topology structure for cooling water system under varying conditions is proposed.

· The relationship between variable network matching and system performance is studied.

· The seasonal adaptability of air-cooling and water-cooling load distribution is investigated.

· Sensitivity analysis is conducted to explore the impact of flexible nodes.

· A MINLP model is established to obtain optimal system configuration and minimum cost.

Abstract

Cooling water systems (CWSs) are extensively utilized in various industries to eliminate the excess heat and converse energy. Studies on CWSs mainly concentrated on finding the optimal cooler network structure. In addition, some works also considered the optimal design under varied operation conditions. However, in these works, once the optimal design of the cooler's network is determined, its arrangement remains fixed and cannot be adapted to accommodate diverse operating conditions. In this work, a flexible topology network concept is proposed to make the adjustment of network structure possible under different operation conditions. The CWS with integrated air cooler and flexible topology network has better overall performance, represented by a mixed integer nonlinear programming (MINLP) model that require advanced tools such as GAMS software. Case studies revealed that the proposed methodology can realize better energy-saving performance, and improve the economic performance under varied operation conditions. The impact of critical flexible nodes on system configuration and economy is achieved by sensitivity analysis.

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Green Chemical Engineering
Pages 461-472

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Cite this article:
Liu B, Zhang R, Liu Y, et al. Multiperiod optimization of cooling water system with flexible topology network. Green Chemical Engineering, 2024, 5(4): 461-472. https://doi.org/10.1016/j.gce.2023.10.005

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Received: 31 August 2023
Revised: 17 October 2023
Accepted: 26 October 2023
Published: 05 November 2023
© 2023 Institute of Process Engineering, Chinese Academy of Sciences.

This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).