Coefficient Identification of Steam Network Model Based on Genetic Algorithm

Xiao Feng Zhu; Yong Zhang; Zhao Feng Lu; Yong Ma

doi:10.4028/www.scientific.net/AMR.658.555

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 658Coefficient Identification of Steam Network Model...

Coefficient Identification of Steam Network Model Based on Genetic Algorithm

Abstract:

This article establish a coupled thermo-hydraulic mathematical model for steam network by adopting a set of equations. Here, identification is defined as process in which a number of Steam Network model parameters are adjusted until the model mimics behavior of the real Steam Network as closely as possible. Test result indicates the advantage of genetic algorithm.

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Periodical:

Advanced Materials Research (Volume 658)

Pages:

555-559

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.658.555

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Online since:

January 2013

Authors:

Xiao Feng Zhu, Yong Zhang, Zhao Feng Lu, Yong Ma

Keywords:

GA, Identification, Pressure Drop, Steam Piping Model

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References

[1] ZHU Yin: Simulation of the steel factory`s steam network with multiple supplies, Metallurgical Industry Automation, vol. 35(2011), pp.11-15.

Google Scholar

[2] Li Shiwu: Calculation Method of Simulating Operational States of Steam Network, Gas & Heat, vol. 6 (2001), p.32–36.

Google Scholar

[3] Majanne, Y.: Model predictive pressure control of steam networks, Control Engineering Practice, vol. 13(2005), pp.1499-1505.

DOI: 10.1016/j.conengprac.2005.03.008

Google Scholar

[4] The International Association for the Properties of Water and Steam. Release on the IAPWS Industrial Formulation 1997 for the Thermodynamic Properties of Water and Steam, Erl-angen, Germany, (1997).

DOI: 10.1007/978-3-662-53219-5_3

Google Scholar

[5] Luo, X., et al.: On Steam Pipe Network Modeling and Flow Rate Calculation. Procedia Engineering, vol. 29(2012), p.1897-(1903).

DOI: 10.1016/j.proeng.2012.01.233

Google Scholar

[6] XU Gang: Multi-mode Genetic algorithm for correction of pipe friction factor, China Water & Wastewater, vol. 20(2004), pp.50-53.

Google Scholar