Title :
Pipe Resistance Identification of an Experimental Heat-supply Network Based on Minimal Norm and GA Methods
Author :
Liu, Yong-Xin ; Zou, Ping-Hua
Author_Institution :
Sch. of Municipal & Environ. Eng., Harbin Inst. of Technol., Harbin, China
Abstract :
Based on minimal norm generalize inverse of continuity equation method, pipe resistance identification method is proposed herein. On the basis, identification method based on genetic algorithm (GA) is applied. Then, identification results of the two pipe resistance of heat-supply network identification methods are quantitative compared when all the nodes pressures are available. The pipe resistance identification of heat-supply networks is studied by an experimental heat-supply network. The above identification processes are verified in experimental case study, so the two pipe resistance of heat-supply network identification methods can be applied to actual heat-supply networks.
Keywords :
genetic algorithms; heat pipes; pipes; GA methods; continuity equation method; experimental heat-supply network; genetic algorithm; heat-supply network identification methods; minimal norm; pipe resistance identification; Analytical models; Computer networks; DH-HEMTs; Electronic mail; Equations; Genetic algorithms; Heat engines; Network topology; Pressure measurement; Resistance heating; GA; identification; minimal norm solution; numerical simulation; pipe resistance;
Conference_Titel :
Information and Computing (ICIC), 2010 Third International Conference on
Conference_Location :
Wuxi, Jiang Su
Print_ISBN :
978-1-4244-7081-5
Electronic_ISBN :
978-1-4244-7082-2
DOI :
10.1109/ICIC.2010.19