Thermo-economic Analysis of Ejector Combined Cooling and Power Cycle Based on Zeotropic Working Fluids

Bin YANG; Ruihua CHEN; Li ZHAO

doi:10.12096/j.2096-4528.pgt.19180

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Thermo-economic Analysis of Ejector Combined Cooling and Power Cycle Based on Zeotropic Working Fluids

Distributed Energy System | 更新时间：2025-07-04

- Thermo-economic Analysis of Ejector Combined Cooling and Power Cycle Based on Zeotropic Working Fluids
- Power Generation Technology Vol. 41, Issue 3, Pages: 261-268(2020)
- 作者机构：
  
  中低温热能高效利用教育部重点实验室(天津大学), 天津市南开区 300350
- 作者简介：
- 基金信息：
  
  National Key Research and Development Program(2018YFB0905103)
- DOI：10.12096/j.2096-4528.pgt.19180
  CLC： TK115
- Received：26 December 2019，
  
  Published：30 June 2020
- 稿件说明：
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Bin YANG, Ruihua CHEN, Li ZHAO. Thermo-economic Analysis of Ejector Combined Cooling and Power Cycle Based on Zeotropic Working Fluids[J]. Power Generation Technology, 2020, 41(3): 261-268.
DOI：

Bin YANG, Ruihua CHEN, Li ZHAO. Thermo-economic Analysis of Ejector Combined Cooling and Power Cycle Based on Zeotropic Working Fluids[J]. Power Generation Technology, 2020, 41(3): 261-268. DOI： 10.12096/j.2096-4528.pgt.19180.

摘要

从热力学第一、二定律和经济性的角度，对一种新型的基于非共沸工质的喷射式功冷并供循环进行热经济性分析。并在此基础上对循环进行参数分析，研究工质组分比、蒸发温度、冷凝温度、膨胀机膨胀比、蒸汽发生器出口温度5个关键参数对循环热效率、㶲效率和资金成本率的影响。最后，以㶲效率最大化和成本率最小化为目标优化函数，采用NSGA-II算法得出帕累托最优解系，并使用TOPSIS方法进行决策，得出最优决策点，即㶲效率为0.131 9，资金成本率为1.94×10

-5

美元/s。

Abstract

In terms of the first and second laws of thermodynamics and economy

the thermo-economic analysis of a new ejector combined cooling and power cycle based on zeotropic working fluids was carried out. On this basis

the parameters of the cycle were analyzed. The effects of the five key parameters of composition ratio

evaporation temperature

condensing temperature

expansion ratio of expander

outlet temperature of steam generator on the thermal efficiency

exergy efficiency and capital cost rate were studied. Finally

taking the maximization of exergy efficiency and the minimization of cost rate as the objective function

Pareto optimal front was acquired by using NSGA-II. An exergy efficiency of 0.131 9 and capital cost rate of 1.94×10

-5

$/s were selected as the best decision point by using TOPSIS decision method.

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