Optimal synthesis of compression refrigeration system using a novel MINLP approach

doi:10.1016/j.cjche.2017.10.028

Chinese Journal of Chemical Engineering ›› 2018, Vol. 26 ›› Issue (8): 1662-1669.DOI: 10.1016/j.cjche.2017.10.028

• Selected Papers from the Chinese Process Systems Engineering Annual Meeting 2017 • 上一篇下一篇

Optimal synthesis of compression refrigeration system using a novel MINLP approach

Tao Yang¹, Yiqing Luo¹, Yingjie Ma¹, Xigang Yuan²

1 School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China;
2 State Key Laboratory of Chemical Engineering, Tianjin University, Tianjin 300072, China

收稿日期:2017-09-17 出版日期:2018-08-28 发布日期:2018-09-21
通讯作者: Yiqing Luo,E-mail address:luoyq@tju.edu.cn
基金资助:
Supported by the National Natural Science Foundation of China (21676183).

Optimal synthesis of compression refrigeration system using a novel MINLP approach

Tao Yang¹, Yiqing Luo¹, Yingjie Ma¹, Xigang Yuan²

1 School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China;
2 State Key Laboratory of Chemical Engineering, Tianjin University, Tianjin 300072, China

Received:2017-09-17 Online:2018-08-28 Published:2018-09-21
Contact: Yiqing Luo,E-mail address:luoyq@tju.edu.cn
Supported by:
Supported by the National Natural Science Foundation of China (21676183).

摘要/Abstract

摘要： The optimal design of a compression refrigeration system (CRS) with multiple temperature levels is very important to chemical process industries and also represents considerable challenges in process systems engineering. In this paper, a general methodology for the optimal synthesis of the CRS, which simultaneously integrates CRS and Heat Exchanger Networks (HEN) to minimize the total compressor shaft work consumption based on an MINLP model, has been proposed. The major contribution of this method is in addressing the optimal design of refrigeration cycle with variable refrigeration temperature levels. The method can be used to make major decisions in the CRS design, such as the number of levels, temperature levels, and heat transfer duties. The performance of the developed methodology has been illustrated with a case study of an ethylene CRS in an industrial ethylene plant, and the optimal solution has been examined by rigorous simulations in Aspen Plus to verify its feasibility and consistency.

关键词: Optimal design, Compression refrigeration system (CRS), Chemical process, Process systems, Compressor shaft work, Mixed Integer Nonlinear Programming (MINLP)

Abstract: The optimal design of a compression refrigeration system (CRS) with multiple temperature levels is very important to chemical process industries and also represents considerable challenges in process systems engineering. In this paper, a general methodology for the optimal synthesis of the CRS, which simultaneously integrates CRS and Heat Exchanger Networks (HEN) to minimize the total compressor shaft work consumption based on an MINLP model, has been proposed. The major contribution of this method is in addressing the optimal design of refrigeration cycle with variable refrigeration temperature levels. The method can be used to make major decisions in the CRS design, such as the number of levels, temperature levels, and heat transfer duties. The performance of the developed methodology has been illustrated with a case study of an ethylene CRS in an industrial ethylene plant, and the optimal solution has been examined by rigorous simulations in Aspen Plus to verify its feasibility and consistency.

Key words: Optimal design, Compression refrigeration system (CRS), Chemical process, Process systems, Compressor shaft work, Mixed Integer Nonlinear Programming (MINLP)

Tao Yang, Yiqing Luo, Yingjie Ma, Xigang Yuan. Optimal synthesis of compression refrigeration system using a novel MINLP approach[J]. Chinese Journal of Chemical Engineering, 2018, 26(8): 1662-1669.

Tao Yang, Yiqing Luo, Yingjie Ma, Xigang Yuan. Optimal synthesis of compression refrigeration system using a novel MINLP approach[J]. Chin.J.Chem.Eng., 2018, 26(8): 1662-1669.

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Optimal synthesis of compression refrigeration system using a novel MINLP approach

Optimal synthesis of compression refrigeration system using a novel MINLP approach

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