摘要
混合工质是提升热力循环发电效能的重要途径。预测混合工质状态参数和热物性是研发设计高效热力循环发电系统的前提。文章以彭-罗宾逊方程为基础,结合余函数法、逸度平衡、范德华混合法则,给出了混合工质状态参数估算方法;基于Chung方程建立非共沸混合有机工质热物性预测通用模型。在此基础上,采用MATLAB软件编写了混合工质状态参数和热物性预测程序。基于本文模型的预测数据,与NIST REFPROP软件数据进行对比验证。经过检验,文章所给混合工质状态参数和热物性模型,具有较高的预测精度,能适用于R600/R601/R134a/R125/R32等多种常见非极性或弱极性工质及其混合物的状态参数和热物性计算。
Mixed working fluids are an important way to improve the efficiency of thermal power cycle generation.Predicting the state parameters and thermophysical properties of mixed working fluids is a prerequisite for the development and design of efficient thermal power cycle generation systems.This paper,based on the Peng-Robinson equation,combines the residual function method,fugacity balance,and van der Waals mixing rules to provide an estimation method for the state parameters of mixed working fluids.A general model for predicting the thermophysical properties of non-azeotropic mixed organic working fluids is established based on the Chung equation.Based on this,a program for predicting the state parameters and thermophysical properties of mixed working fluids was developed using MATLAB software.The predicted data by this paper was compared and validated against data from NIST REFPROP software.Through comparison,the state parameter and thermophysical property models proposed in this paper have high prediction accuracy and can be applied to calculate the state parameters and thermophysical properties of various common non-polar or weakly polar working fluids and their mixtures,such as R600/R601/R134a/R125/R32.
作者
袁天皓
刘海洋
黎德明
张程宾
Yuan Tianhao;Liu Haiyang;Li Deming;Zhang Chengbin(School of Energy and Environment,Southeast University,Nanjing 211189,China;Aerosun Corporation,Nanjing 211200,China)
出处
《新能源科技》
2023年第2期14-22,共9页
New energy technology
基金
国家重点研发计划项目(2021YFB3803200)。
关键词
热物性
状态参数
混合工质
预测模型
thermal properties
state parameters
mixed working fluids
predictive models
