Online Measurement Method for Components of Auto-Cascade Refrigeration System

LI Yinlong; JING Dongliang; LIU Guoqiang; YAN Gang

doi:10.7652/xjtuxb202504013

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Online Measurement Method for Components of Auto-Cascade Refrigeration System

更新时间：2026-01-06

- Online Measurement Method for Components of Auto-Cascade Refrigeration System
- Journal of Xi’an Jiaotong University Vol. 59, Issue 4, Pages: 139-147(2025)
- 作者机构：
  
  西安交通大学能源与动力工程学院， 710049，西安
- 作者简介：
- 基金信息：
- DOI：10.7652/xjtuxb202504013
  CLC： TB64
- Received：28 October 2024，
  
  Online First：31 December 2024，
  
  Published：10 April 2025
- 稿件说明：
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LI Yinlong, JING Dongliang, LIU Guoqiang, et al. Online Measurement Method for Components of Auto-Cascade Refrigeration System[J]. Journal of Xi’an Jiaotong University, 2025, 59(4): 139-147.
DOI：

LI Yinlong, JING Dongliang, LIU Guoqiang, et al. Online Measurement Method for Components of Auto-Cascade Refrigeration System[J]. Journal of Xi’an Jiaotong University, 2025, 59(4): 139-147. DOI： 10.7652/xjtuxb202504013.

摘要

针对自复叠制冷系统运行过程中组分浓度难以实时连续测量的问题，提出了一种混合工质循环浓度在线测量方法，用于精确测量系统内组分循环浓度、热力学参数及系统能效。在线测量方法基于系统内部件的组分、质量和能量守恒关系，基于温度、压力、流量数据测量组分循环浓度。搭建自复叠制冷系统实验平台，在柜内温度－58.6~－40.4 ℃的实验工况下验证了在线测量方法的可行性，并与气相色谱单时静态采样方法对比验证组分在线测量方法的准确性。研究结果表明：温度是影响组分的关键参数，实验测试值与在线测量值偏差小于3 K，组分循环浓度的在线测量值与气相色谱采样测量值对比最大偏差为4.45%。不确定度计算结果显示，组分循环浓度的在线测量不确定度低于2.0%，能效比和制冷量的在线测量不确定度低于7.5%。所提在线测量方法能够准确预测自复叠制冷系统的组分循环浓度，与气相色谱单时静态采样相比，可获取组分浓度的动态连续变化趋势，为从组分层面深入分析混合工质热力系统的性能变化提供依据。

Abstract

In response to the challenge of real-time continuous measurement of component concentrations during the operation of auto-cascade refrigeration systems

an online measurement method for the circulating concentration of mixed refrigerant is proposed to accurately measure the circulating component concentrations

thermodynamic parameters

and system efficiency. The online measurement method is based on the composition

mass and energy conservation of components within the system. The circulating concentration of compositions is measured based on temperature

pressure and mass flow rate. An experimental platform for the auto-cascade refrigeration system is established to validate the feasibility of the online measurement method under experimental conditions with cabinet temperatures ranging from －58.6 ℃ to －40.4 ℃. The accuracy of the online measurement of the composition is further verified using gas chromatography single-time static sampling methods. The research findings indicate that temperature

a crucial parameter affecting the composition

shows a deviation of less than 3 K between the experimental and online measurement values. The maximum deviation between the online measurement values of the composition concentration and the sampling measurement values is 4.45%. The uncertainty calculations show that the online measurement uncertainty of composition circulating concentration is below 2.0%

while the online measurement uncertainty of energy efficiency ratio and refrigeration capacity is below 7.5%. The proposed online measurement method can accurately predict the circulating concentration of the mixed refrigerant in auto-cascade refrigeration systems. In comparison with gas chromatography single-time static sampling

it allows for dynamic continuous trends in component concentrations

providing a basis for in-depth analysis of performance changes in mixed refrigerant thermodynamic systems at the component level.

关键词

Keywords

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