DocumentCode :
3391714
Title :
Network-based simulation and modeling for super-critical boiler air flue system
Author :
Cai, Kai ; Chen, Qi-juan ; Wang, Jian-mei
Author_Institution :
Key Lab. of hydro-mechanism & power project outfit Technol. of Hubei province, Wuhan Univ., Wuhan
fYear :
2008
fDate :
10-12 Oct. 2008
Firstpage :
857
Lastpage :
861
Abstract :
The Pressure-Node Model is used in the simulation of single-phase incompressible fluid/compressible fluid system. When the pressure nodes are dense or the differential pressure is lesser between nodes, this model will cause problems, such as unbalanced flux in all the branches of one node, slow calculating, and so on so forth. This article will introduce a Liquid-Network Model that is based on random topology network. This model made a great improvement on the flux channels modeling method. It calculates and analyzes not only one node but all the nodes inside the flux network. The mathematical models of the draft fan and air heater and all kinds of flow resistance mathematical models such as pressure flux branch are built on the analysis of super-critical boiler air flue system. The simulation arithmetic of the air flue system is developed by modulating and it was simulated on Simpanel for the static state and dynamic characteristic. The research discussed in this article has been applied to full conditions simulation system of a 600 MW unit and got good result.
Keywords :
boilers; compressible flow; mechanical engineering computing; network topology; air flue system; compressible fluid system; flux channels; flux network; liquid-network model; network simulation; pressure-node model; random topology network; single-phase incompressible fluid; super-critical boiler; Asia; Boilers; Computational modeling; Scientific computing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Simulation and Scientific Computing, 2008. ICSC 2008. Asia Simulation Conference - 7th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-1786-5
Electronic_ISBN :
978-1-4244-1787-2
Type :
conf
DOI :
10.1109/ASC-ICSC.2008.4675482
Filename :
4675482
Link To Document :
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