Synthesis of refrigeration system based on generalized disjunctive programming model

Danlei Chen; Xue Ma; Yiqing Luo; Yingjie Ma; Xigang Yuan

doi:10.1016/j.cjche.2017.10.017

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Synthesis of refrigeration system based on generalized disjunctive programming model

Selected Papers from the Chinese Process Systems Engineering Annual Meeting 2017 | Updated：2026-01-06

- Synthesis of refrigeration system based on generalized disjunctive programming model
- Synthesis of refrigeration system based on generalized disjunctive programming model
- 中国化学工程学报（英文版） 2018年26卷第8期页码：1613-1620
- Affiliations：
  
  2 State Key Laboratory of Chemical Engineering, Tianjin University,Tianjin,China,300072
- Author bio：
- Funds：
- DOI：10.1016/j.cjche.2017.10.017
  中图分类号：
- 纸质出版：2018
- Accepted：
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Danlei Chen, Xue Ma, Yiqing Luo, 等. Synthesis of refrigeration system based on generalized disjunctive programming model[J]. 中国化学工程学报（英文版）, 2018,26(8):1613-1620.

Danlei Chen, Xue Ma, Yiqing Luo, Yingjie Ma, Xigang Yuan. Synthesis of refrigeration system based on generalized disjunctive programming model[J]. Chin.J.Chem.Eng., 2018, 26(8): 1613-1620.
Danlei Chen, Xue Ma, Yiqing Luo, 等. Synthesis of refrigeration system based on generalized disjunctive programming model[J]. 中国化学工程学报（英文版）, 2018,26(8):1613-1620. DOI： 10.1016/j.cjche.2017.10.017.

Danlei Chen, Xue Ma, Yiqing Luo, Yingjie Ma, Xigang Yuan. Synthesis of refrigeration system based on generalized disjunctive programming model[J]. Chin.J.Chem.Eng., 2018, 26(8): 1613-1620. DOI： 10.1016/j.cjche.2017.10.017.

摘要

Abstract

Refrigeration system holds an important role in process industries. The optimal synthesis cannot only reduce the energy consumption

but also save the production costs. In this study

a general methodology is developed for the optimal design of refrigeration cycle and heat exchanger network (HEN) simultaneously. Taking the heat integration between the external heat sources/sinks and the refrigeration cycle into consideration

a superstructure with sub-coolers is developed. Through defining logical variables that indicate the relative temperature positions of refrigerant streams after sub-coolers

the synthesis is formulated as a Generalized Disjunctive Programming (GDP) problem based on LP transshipment model

with the target of minimizing the total compressor shaft work in the refrigeration system. The GDP model is then reformulated as a Mixed Integer Nonlinear Programming (MINLP) problem with the aid of binary variables and Big-M Constraint Method. The efficacy of the process synthesis model is demonstrated by a case study of ethylene refrigeration system. The result shows that the optimization can significantly reduce the exergy loss as well as the total compression shaft work.

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