不确定性下基于柔性指数的计算机辅助制冷工质设计  

Computer-aided refrigerant design based on flexibility index under uncertainty

作　　者：陈朵朵 王佳远 周黎旸 王树华 祝铃钰[1] CHEN Duo-duo;WANG Jia-yuan;ZHOU Li-yang;WANG Shu-hua;ZHU Ling-yu(College of Chemical Engineering,Zhejiang University of Technology,Hangzhou 310014,China;Juhua Group Co.Ltd.,Quzhou 324004,China;Juhua Novel Materials Research Institute Co.Ltd.,Hangzhou 311305,China)

机构地区：[1]浙江工业大学化学工程学院,浙江杭州310014 [2]巨化集团有限公司,浙江衢州324004 [3]巨化新材料研究院有限公司,浙江杭州311305

出　　处：《高校化学工程学报》2023年第2期302-311,共10页Journal of Chemical Engineering of Chinese Universities

基　　金：国家自然科学基金(22008217);浙江省自然科学基金重点项目(LZ21B060001)。

摘　　要：针对工程应用中制冷循环会因环境因素的不确定波动而具有变工况的特点,提出以最大化操作柔性为目标研究最优制冷工质设计的面向操作柔性的过程和工质协同优化方法。该方法在物性预测模型层面,针对现有基团贡献法误差大的问题,修正了基团拆分方法和基团参数;在制冷过程模型层面,针对相态不确定性引入了互补约束;在优化求解层面,提出以柔性指数最大化为目标的制冷工质优化方案,建立以柔性指数最大化为目标的混合整数非线性规划问题。将该方法分别应用于单工质和混合工质设计案例,结果表明,面向环境不确定性的最优工质有别于制冷性能系数最大化的工质。For varying loadings and environmental uncertainties in many commercial applications,an operational flexibility-oriented design method for working fluids selection was proposed.A modified group assignment scheme with a new group parameter database was presented to improve the predictability of thermodynamic properties by the group contribution method.Rigorous modeling with complementary constraints on phase uncertainties in refrigeration processes was adopted.The optimal working fluid design problem was formulated with the goal of maximizing the flexibility index and solved to maximize the process flexibility index as a mixed-integer nonlinear programming problem.The developed method was applied to two cases on single-and mixed-refrigerant design respectively.The results demonstrate that the optimal refrigerants by the flexibility-oriented refrigerant design could be different from traditional coefficient of performance(COP)-oriented as well as the flexibility-oriented.

关 键 词：柔性指数 计算机辅助分子设计 基团贡献法 混合整数非线性规划 

分 类 号：TQ025.3[化学工程]