Matrixed modeling method and entropy generation minimization analysis of heat supply system based on standard thermal resistance

被引:6
|
作者
Ju, Chenzhi [1 ]
Tian, Liang [1 ]
Hao, Junhong [1 ]
Yang, Yunxi [1 ]
Ge, Zhihua [1 ]
Du, Xiaoze [1 ]
机构
[1] North China Elect Power Univ, Key Lab Power Stn Energy Transfer Convers, Minist Educ, Sch Energy Power & Mech Engn, Beijing 102206, Peoples R China
基金
中国国家自然科学基金;
关键词
entropy generation; heat supply system; matrixed modeling; standard thermal resistance; OPTIMIZATION; DESIGN; PUMP;
D O I
10.1002/ese3.1335
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Complex implicit expressions and many intermediate parameters are not conducive to the application of entropy generation optimization to the performance of thermal and energy systems from component and system perspectives. In this paper, we derived matrix heat transport equations of three primary heat exchanger networks according to the heat current method. Based on the matrix equations, we established the matrixed model of a typical heat supply system and obtained the corresponding matrix equation reflecting the power topology structure of the system. Moreover, we derived and reconstructed a single heat exchanger's entropy generation rate expression based on the standard thermal resistance, which was only related to inlet temperatures, structural parameters, and operating parameters. The total system entropy generation rate was then derived and minimized by the Lagrange multiplier method. The optimization results provided the optimal distribution of the mass flow rate of each fluid. Besides, the influence of the heat transfer rate and outer loop inlet temperature on the optimization results revealed that local equipment parameters and conditions could affect the system's minimum entropy generation. The total entropy generation rate decreases by 17.5% when the outer loop inlet temperature was increased from 274 to 280 K. In conclusion, the matrixed modeling and entropy generation analysis are feasible for thermal system modeling and optimization.
引用
收藏
页码:331 / 346
页数:16
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