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Identifying a simplified model for heavy duty gas turbine

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Abstract

A dynamic model was developed for long-term simulation of a heavy duty gas turbine. The model includes the essential control algorithm of the gas turbine as well as the most common outputs and other important intermediate variables. Control algorithm details, such as wind up protection and load limiter algorithm which have large effect on gas turbine transient behavior, are included. The model parameters are identified by applying genetic algorithm and least squares algorithm on regular operational data from a real plant to better match the model response to the real plant. The simulation results have been validated with real plant data and shown to have valid accuracy for many engineering applications.

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Correspondence to Marcus Thern.

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Recommended by Associate Editor Tong Seop Kim

Saeed Bahrami received the B.Sc. from K. N. Toosi University of Technology, Tehran, Iran, and the M.Sc. from Amikabir University of Technology, Tehran, Iran, in 2006 and 2009, respectively. He is currently working toward the Ph.D. in Mechanical Engineering. His research interests include modeling and control of dynamical systems with focus on energy systems, power plants and combustion engines.

Ali Ghaffari received the BSc, MSc and Ph.D. all in Mechanical Engineering from Sharif University of Technology, Georgia Institute of Technology and University of California at Berkeley in 1971, 1974 and 1978, respectively. Since, 1989 he has been with the department of Mechanical Engineering of K. N. Toosi University of Technology. His research is mainly focused on modeling and control of dynamic systems.

Seyed Hossein Sadati is an assistant professor in the Mechanical Engineering Dept. at K.N. Toosi University of Technology, Tehran, Iran. He received his M.S. in 1986 in engineering mechanics from Iowa State University, Iowa, U.S.A., and his Ph.D. in 1993 in aerospace engineering from the university of Arizona, Tucson, Arizona, U.S.A. His research interests are dynamic and control systems, vibrations, and artificial neural networks.

Marcus Thern is an associate professor in the Dept. of Energy Sciences at Lund University, Sweden. He received his M.S in 2001 and his Ph.D. in 2005 in thermal power engineering. His research mainly focuses on modeling of thermal power plants and humid air turbines.

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Bahrami, S., Ghaffari, A., Hossein Sadati, S. et al. Identifying a simplified model for heavy duty gas turbine. J Mech Sci Technol 28, 2399–2408 (2014). https://doi.org/10.1007/s12206-014-0532-5

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  • DOI: https://doi.org/10.1007/s12206-014-0532-5

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