状态方程参数化耦合制冷工质热导率性质预测模型

康凯; 李雪莉; 杨树; 谷雅秀; 王晓坡

doi:10.7652/xjtuxb202404014

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状态方程参数化耦合制冷工质热导率性质预测模型

—————————————————————— | 更新时间：2025-07-09

- 状态方程参数化耦合制冷工质热导率性质预测模型
- A Prediction Model of Refrigerant Thermal ConductivityCoupled with the Standardized Equation of the State Parameterization Scheme
- 西安交通大学学报 2024年58卷第4期页码：148-157
- 作者机构：
  
  1. 长安大学建筑工程学院,西安,710061
  2. 西安交通大学热流科学与工程教育部重点实验室,西安,710049
- 作者简介：
  
  : 2023-07-21。作者简介: 康凯(1991—),男,讲师。基金项目: 国家自然科学基金资助项目(52006015)
- 基金信息：
  
  : 2023-07-21。作者简介: 康凯(1991—),男,讲师。基金项目: 国家自然科学基金资助项目(52006015);陕西省自然科学基础研究计划资助项目(2021-JQ-265,2023-JC-YB-473)
- DOI：10.7652/xjtuxb202404014
  中图分类号： TK121
- 网络首发：2024-04-10，
  
  纸质出版：2024
- 稿件说明：
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康凯, 李雪莉, 杨树, 等. 状态方程参数化耦合制冷工质热导率性质预测模型[J]. 西安交通大学学报, 2024,58(4):148-157.

KANG Kai, LI Xueli, YANG Shu, et al. A Prediction Model of Refrigerant Thermal ConductivityCoupled with the Standardized Equation of the State Parameterization Scheme[J]. 2024, 58(4): 148-157.
康凯, 李雪莉, 杨树, 等. 状态方程参数化耦合制冷工质热导率性质预测模型[J]. 西安交通大学学报, 2024,58(4):148-157. DOI： 10.7652/xjtuxb202404014.

KANG Kai, LI Xueli, YANG Shu, et al. A Prediction Model of Refrigerant Thermal ConductivityCoupled with the Standardized Equation of the State Parameterization Scheme[J]. 2024, 58(4): 148-157. DOI： 10.7652/xjtuxb202404014.

摘要

针对准确的制冷工质热导率性质有益于制冷热泵系统的设计和优化

引入标准化参数化方案

得到扰动链统计缔合流体理论状态方程(PC-SAFT)的输入参数

结合剩余熵标度理论(RES)

预测了包括氢氟烯烃(HFOs)、氢氟烃(HFCs)、烷烃(HCs)和 CO

(R744)在内的11种常见制冷工质的热导率性质

使用自助法

获得了标准化参数化方案与常规参数化方案输入参数的不确定度

并展开不确定度分析。通过与文献实验结果及已报道热导率性质模型比对

所提热导率性质模型与实验数据的总体平均相对偏差为3.32%。结果表明:所提热导率性质预测模型的整体表现优于常规参数化热导率模型和CE参考项热导率模型

且标准化参数化方案有潜力为混合工质体系的研发和推广提供可靠的基础物性数据; 两种参数化方案输入参数在不确定度范围内波动时

对气相迁移性质的预测影响程度相似

但标准化参数化方案在液相迁移性质的预测上表现更优; 此外

基于标准化参数化方案预测迁移性质需特别关注偏心因子的精度。

Abstract

The accurate and reliable prediction of the refrigerant thermal conductivity is beneficial to the design and optimization of refrigeration and heat pump systems. In this paper

the standardized parameterization scheme was introduced to obtain the input parameters of the perturbed-chain statistical association fluid theory EOS(PC-SAFT). The residual entropy scale theory(RES)was adopted to predict the thermal conductivity of 11 common refrigerants

including hydrofluoroolefin(HFOs)

hydrofluorocarbon(HFCs)

alka

nes(HCs)

and CO

(R744). The bootstrap method was used to calculate the uncertainty of input parameters for both standardized parameterization schemes and conventional parameterization schemes. Meanwhile

an uncertainty analysis was conducted. Through the comparison of differences among the experimental data

the proposed model

as well as the reported thermal conductivity models

the overall average relative deviation between the thermal conductivity prediction model proposed in this paper and the experimental data was 3.32%. The results showed that the overall performance of the proposed model was better than that of the conventional parameterization and CE reference term methods. Moreover

this standardized parameterization scheme had the potential to provide reliable basic physical property data for the development and promotion of mixed refrigerant systems. When the input parameters of the two parameterization schemes fluctuated within the uncertainty range

the standardized parameterization scheme achieved better performance in predicting liquid phase transport properties despite a similar degree of influence on the prediction of vapor phase transport properties. Furthermore

special attention should be paid to the accuracy of the acentric factor regarding the prediction of transport properties based on standardized parameterization schemes.

关键词

Keywords

references

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