Graph theory-based heat current analysis method for supercritical CO2 power generation system

被引:16
作者
Li, Xia [1 ]
Chen, Qun [1 ]
Chen, Xi [1 ]
He, Ke-Lun [1 ]
Hao, Jun-Hong [2 ]
机构
[1] Tsinghua Univ, Dept Engn Mech, Minist Educ, Key Lab Thermal Sci & Power Engn, Beijing 100084, Peoples R China
[2] North China Elect Power Univ, Sch Energy Power & Mech Engn, Minist Educ, Key Lab Condit Monitoring & Control Power Plant E, Beijing 102206, Peoples R China
关键词
Supercritical CO2 cycle; Heat current method; Graph theory-based modeling; Optimization; Fluid property variation; Electric circuit principle; EXCHANGER NETWORKS; OPTIMIZATION METHOD; TRANSFER FLUID; CYCLE; SUSPENSION; DESIGN;
D O I
10.1016/j.energy.2020.116911
中图分类号
O414.1 [热力学];
学科分类号
摘要
Supercritical carbon dioxide (sCO(2)) power generation system holds tremendous potential in energy utilization fields featuring with its high efficiency, compactness, and security. However, dramatic variations in sCO(2) thermophysical properties make the existing constant property analysis methods imprecise. In this contribution, inlet temperature difference-based thermal resistance transforms the nonlinear governing equations of heat transfer process into linear forms, and applying the graph theory builds the heat current model of a sCO(2) recompression cycle with consideration of fluid property variation, which is analogous to electric circuit. Therefore, utilizing the electric circuit principle offers the overall heat transport and conversion laws in the whole system and gives the integral mathematical relations of all independent variables, which are solved by the newly proposed iterative divide-and-conquer solution algorithm. Finally, optimization of a typical sCO(2) recompression system under different boundary conditions shows the applicability and conciseness of the heat current method compared to the existing analysis methods. (C) 2020 Elsevier Ltd. All rights reserved.
引用
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页数:16
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