An entransy dissipation-based method for global optimization of district heating networks

被引:49
|
作者
Xu, Yun-Chao [1 ]
Chen, Qun [1 ]
机构
[1] Tsinghua Univ, Key Lab Thermal Sci & Power Engn, Minist Educ, Dept Engn Mech, Beijing 100084, Peoples R China
基金
中国国家自然科学基金;
关键词
District heating network; Optimization; Entransy dissipation; Energy efficiency; LINEAR-PROGRAMMING OPTIMIZATION; THERMAL-RESISTANCE; ENERGY-SYSTEMS; PRINCIPLE; FLOW; CRITERION; CAPACITY; EXTREMUM; MODELS; TUBE;
D O I
10.1016/j.enbuild.2012.01.008
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Improving the the heating performance of district heating networks (DHNs), one of the most important components in district heating systems, has significant influence on the promotion of energy efficiency. Based on the entransy theory, this paper develops an entransy dissipation-based method for global optimization of DHNs. We analyze the irreversibility of three types of heat transfer processes in DHNs: (1) the heat transfer process between the waters in primary heating networks and DHNs in substation heat exchangers; (2) the heat transfer process between supply water and indoor airs in radiators; and (3) the return water mixing process, then derive the expressions of entransy dissipation for each process, and finally deduce two different formulas of the total entransy dissipation in DHNs by the users' demands and the structural and operating parameters of DHNs, respectively, from which we establish the mathematical relation between the users' demands and the structural and operating parameters of DHNs. Based on this relation, two typical optimization problems of DHNs are converted into conditional extremum problems to deduce two optimization equation groups. Solving the equation groups gives the optimal structural and operating parameters for DHNs with highest energy efficiency. Finally, the method is proved valid and advantageous through the optimization for both 1-column-2-user and 2-column-4-user DHNs. (C) 2012 Elsevier B.V. All rights reserved.
引用
收藏
页码:50 / 60
页数:11
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