Nonlinear Model Predictive Control applied to Transient Operation of a Gas Turbine

This work aims to investigate the application of a comprehensive nonlinear model-based predictive control strategy as a means to avoid unsafe or inappropriate operation of a gas turbine. Herein, the nonlinear model-based predictive control is employed to control compressor speed by varying the fuel...

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Main Authors: Thiago S. Pires, Manuel E. Cruz, Marcelo J. Colaco, Marco A. C. Alves
Format: Article
Language:English
Published: SDEWES Centre 2018-12-01
Series:Journal of Sustainable Development of Energy, Water and Environment Systems
Subjects:
Online Access: http://www.sdewes.org/jsdewes/pid6.0220
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spelling doaj-376056b12e394a09b163557beb0e3d572020-11-25T00:42:29ZengSDEWES CentreJournal of Sustainable Development of Energy, Water and Environment Systems1848-92572018-12-016477078310.13044/j.sdewes.d6.022000220Nonlinear Model Predictive Control applied to Transient Operation of a Gas TurbineThiago S. Pires0Manuel E. Cruz1Marcelo J. Colaco2Marco A. C. Alves3 Department of Mechanical Engineering, PEM-COPPE, UFRJ, Federal University of Rio de Janeiro, CP 68503, CT, Cidade Universitária, 21941-972, Rio de Janeiro, Brazil Department of Mechanical Engineering, PEM-COPPE, UFRJ, Federal University of Rio de Janeiro, CP 68503, CT, Cidade Universitária, 21941-972, Rio de Janeiro, Brazil Department of Mechanical Engineering, PEM-COPPE, UFRJ, Federal University of Rio de Janeiro, CP 68503, CT, Cidade Universitária, 21941-972, Rio de Janeiro, Brazil Department of Mechanical Engineering, UFJF, Federal University of Juiz de Fora, Rua José Lourenço Kelmer, s/n, Campus Universitário, 36036-900, Minas Gerais, Brazil This work aims to investigate the application of a comprehensive nonlinear model-based predictive control strategy as a means to avoid unsafe or inappropriate operation of a gas turbine. Herein, the nonlinear model-based predictive control is employed to control compressor speed by varying the fuel flow in the combustion chamber. The methodology complies with the gas turbine constraints explicitly in the optimization procedure and, therefore, the nonlinear model-based predictive control algorithm ensures that process constraints are not violated. The nonlinear dynamic behaviour of the gas turbine is modelled with the aid of a first principle process simulator, which solves the equations of state and the conservation equations of mass, energy and momentum. The optimization procedure is achieved through the implementation of an evolutionary algorithm. Three scenarios are simulated: fuel consumption optimization, load removal/addition and load rejection. The proposed control strategy is successfully applied to both transient and steady-state operational modes of the gas turbine. http://www.sdewes.org/jsdewes/pid6.0220 Nonlinear model-based predictive controlGas turbineProcess simulatorOptimizationFuel consumptionLoad rejectionTransient operation.
collection DOAJ
language English
format Article
sources DOAJ
author Thiago S. Pires
Manuel E. Cruz
Marcelo J. Colaco
Marco A. C. Alves
spellingShingle Thiago S. Pires
Manuel E. Cruz
Marcelo J. Colaco
Marco A. C. Alves
Nonlinear Model Predictive Control applied to Transient Operation of a Gas Turbine
Journal of Sustainable Development of Energy, Water and Environment Systems
Nonlinear model-based predictive control
Gas turbine
Process simulator
Optimization
Fuel consumption
Load rejection
Transient operation.
author_facet Thiago S. Pires
Manuel E. Cruz
Marcelo J. Colaco
Marco A. C. Alves
author_sort Thiago S. Pires
title Nonlinear Model Predictive Control applied to Transient Operation of a Gas Turbine
title_short Nonlinear Model Predictive Control applied to Transient Operation of a Gas Turbine
title_full Nonlinear Model Predictive Control applied to Transient Operation of a Gas Turbine
title_fullStr Nonlinear Model Predictive Control applied to Transient Operation of a Gas Turbine
title_full_unstemmed Nonlinear Model Predictive Control applied to Transient Operation of a Gas Turbine
title_sort nonlinear model predictive control applied to transient operation of a gas turbine
publisher SDEWES Centre
series Journal of Sustainable Development of Energy, Water and Environment Systems
issn 1848-9257
publishDate 2018-12-01
description This work aims to investigate the application of a comprehensive nonlinear model-based predictive control strategy as a means to avoid unsafe or inappropriate operation of a gas turbine. Herein, the nonlinear model-based predictive control is employed to control compressor speed by varying the fuel flow in the combustion chamber. The methodology complies with the gas turbine constraints explicitly in the optimization procedure and, therefore, the nonlinear model-based predictive control algorithm ensures that process constraints are not violated. The nonlinear dynamic behaviour of the gas turbine is modelled with the aid of a first principle process simulator, which solves the equations of state and the conservation equations of mass, energy and momentum. The optimization procedure is achieved through the implementation of an evolutionary algorithm. Three scenarios are simulated: fuel consumption optimization, load removal/addition and load rejection. The proposed control strategy is successfully applied to both transient and steady-state operational modes of the gas turbine.
topic Nonlinear model-based predictive control
Gas turbine
Process simulator
Optimization
Fuel consumption
Load rejection
Transient operation.
url http://www.sdewes.org/jsdewes/pid6.0220
work_keys_str_mv AT thiagospires nonlinearmodelpredictivecontrolappliedtotransientoperationofagasturbine
AT manuelecruz nonlinearmodelpredictivecontrolappliedtotransientoperationofagasturbine
AT marcelojcolaco nonlinearmodelpredictivecontrolappliedtotransientoperationofagasturbine
AT marcoacalves nonlinearmodelpredictivecontrolappliedtotransientoperationofagasturbine
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