Title: Identification of a VVER horizontal steam generator using recurrent neural networks

Authors: Samaneh S. Sajjadi, Mehrdad Boroushaki, Jalil Jafari, Mohammad J. Yazdanpanah

Addresses: Department of Mechanical Engineering, Sharif University of Technology, P.O. Box. 11365-9567, Tehran, Iran. ' Department of Mechanical Engineering, Sharif University of Technology, P.O. Box. 11365-9567, Tehran, Iran. ' AEOI, School of Research and Development of Nuclear Reactors, Karegar Avenue, Tehran, Iran. ' Control and Intelligent Processing Center of Excellence, School of Electrical and Computer Engineering, Tehran University, P.O. Box 14395-515, Tehran, Iran

Abstract: Although a large number of simulations have been developed for U-tube steam generators in Western pressurised water reactors, no suitable models yet exist for horizontal steam generators in VVER-type nuclear power plants. This research aims to use RELAP5 thermohydraulic code data to identify a horizontal steam generator via an intelligent structure named Nonlinear Auto Regression with eXogenous inputs (NARX). Simulation results show that this method can predict the steam generator behaviour faster than RELAP5 with an acceptable error level. The identified model can be used in future research in safety analysis, safety systems and control systems for predicting steam generator behaviour.

Keywords: horizontal steam generators; recurrent neural networks; simulation; VVER nuclear reactors; nuclear power plants; nuclear energy; thermohydraulics; nuclear safety; safety analysis; safety systems; control systems; steam generator behaviour.

DOI: 10.1504/IJNKM.2007.013564

International Journal of Nuclear Knowledge Management, 2007 Vol.2 No.3, pp.285 - 298

Published online: 06 May 2007 *

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