Optimal synthesis of compression refrigeration system using a novel MINLP approach

Tao Yang; Yiqing Luo; Yingjie Ma; Xigang Yuan

doi:10.1016/j.cjche.2017.10.028

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Optimal synthesis of compression refrigeration system using a novel MINLP approach

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

- Optimal synthesis of compression refrigeration system using a novel MINLP approach
- Chinese Journal of Chemical Engineering Vol. 26, Issue 8, Pages: 1662-1669(2018)
- Affiliations：
  
  2 State Key Laboratory of Chemical Engineering, Tianjin University,Tianjin,China,300072
- Author bio：
- Funds：
- DOI：10.1016/j.cjche.2017.10.028
  CLC：
- Published：2018
- Accepted：
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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.
DOI：

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. DOI： 10.1016/j.cjche.2017.10.028.

摘要

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.

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Related Institution

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