Compositions optimization method based on the effective refrigeration effect for Mixed-refrigerant Joule-Thomson refrigerators cooling distributed-temperature heat loads

被引：5

作者：

Wang, Yunxiao ^{[1
,2
]}

Wang, Haocheng ^{[1
]}

Zhao, Yanxing ^{[1
,3
]}

Gong, Maoqiong ^{[1
,2
]}

Wang, Kun ^{[1
,2
]}

Guo, Hao ^{[1
]}

机构：

[1] Chinese Acad Sci, Key Lab Cryogen, Tech Inst Phys & Chem, Beijing 100190, Peoples R China

[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China

[3] Qingdao Casfuture Res Inst Co Ltd, Qingdao 266109, Shandong, Peoples R China

来源：

INTERNATIONAL JOURNAL OF REFRIGERATION | 2023年 / 155卷

基金：

中国国家自然科学基金;

关键词：

Equivalent enthalpy; Effective refrigeration effect; Mixed refrigerant optimization; Mixed-refrigerant Joule-Thomson refrigeration; Distributed-temperature heat loads; NATURAL-GAS LIQUEFACTION; DESIGN; ALGORITHM; PLANT;

D O I：

10.1016/j.ijrefrig.2023.08.002

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

Mixed-refrigerant Joule-Thomson refrigeration (MJTR) is the dominant technology for cooling distributedtemperature heat loads, such as natural gas liquefaction. The mixed refrigerant determines the refrigeration cycle's performance (cooling temperature and efficiency, etc.). However, the current mathematical methods for mixed refrigerants' optimization are time-consuming. In this paper, a mixed refrigerant optimization method based on the effective refrigeration effect is proposed. The equivalent enthalpy (E H) of temperature difference is proposed to predict the temperature difference distribution in the recuperator without cycle simulation. The optimization objective is to optimizeE Hmuch closer to zero. In each step, only one component is adjusted, which is determined through its' effective refrigeration effect, i.e., the partial molar enthalpy difference, in the optimization process. This method is applied to natural gas liquefaction (LNG), nitrogen liquefaction (LN2) and Cryocompressed hydrogen storage (CcH2) systems. The exergy efficiencies in LNG, LN2 and CcH2 systems are 0.462, 0.390 and 0.421, which increase about 23.9%, 22.4% and 23.5% compared to references, respectively. The optimization time is less than 10 min per case in this study. This method can optimize mixed refrigerants in MJTR cooling various distributed-temperature heat loads.

引用

页码：93 / 104

页数：12