NARX models for simulation of the start-up operation of a single-shaft gas turbine

被引:92
作者
Asgari, Hamid [1 ]
Chen, XiaoQi [1 ]
Morini, Mirko [2 ]
Pinelli, Michele [3 ]
Sainudiin, Raazesh [4 ]
Spina, Pier Ruggero [3 ]
Venturini, Mauro [3 ]
机构
[1] Univ Canterbury, Dept Mech Engn, Christchurch 1, New Zealand
[2] Univ Parma, Dipartimento Ingn Ind, I-43100 Parma, Italy
[3] Univ Ferrara, Dipartimento Ingn, I-44100 Ferrara, Italy
[4] Univ Canterbury, Dept Math & Stat, Christchurch 1, New Zealand
关键词
Gas turbine; Black-box; Neural network; NARX model; Modeling; Simulation; Start-up; COMPRESSOR TRANSIENT-BEHAVIOR; ARTIFICIAL-INTELLIGENCE; SYSTEM; DIAGNOSTICS;
D O I
10.1016/j.applthermaleng.2015.09.074
中图分类号
O414.1 [热力学];
学科分类号
摘要
In this study, nonlinear autoregressive exogenous (NARX) models of a heavy-duty single-shaft gas turbine (GT) are developed and validated. The GT is a power plant gas turbine (General Electric PG 9351FA) located in Italy. The data used for model development are three time series data sets of two different maneuvers taken experimentally during the start-up procedure. The resulting NARX models are applied to three other experimental data sets and comparisons are made among four significant outputs of the models and the corresponding measured data. The results show that NARX models are capable of satisfactory prediction of the GT behavior and can capture system dynamics during start-up operation. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:368 / 376
页数:9
相关论文
共 44 条
[1]   A GENERALIZED MATHEMATICAL-MODEL TO ESTIMATE GAS-TURBINE STARTING CHARACTERISTICS [J].
AGRAWAL, RK ;
YUNIS, M .
JOURNAL OF ENGINEERING FOR POWER-TRANSACTIONS OF THE ASME, 1982, 104 (01) :194-201
[2]   Modeling and investigation start-up procedures of a combined cycle power plant [J].
Alobaid, Falah ;
Postler, Ralf ;
Stroehle, Jochen ;
Epple, Bernd ;
Kim Hyun-Gee .
APPLIED ENERGY, 2008, 85 (12) :1173-1189
[3]  
Arriagada J., 2003, P INT GAS TURB C TOK
[4]   Modeling and Simulation of the Transient Behavior of an Industrial Power Plant Gas Turbine [J].
Asgari, Hamid ;
Venturini, Mauro ;
Chen, XiaoQi ;
Sainudiin, Raazesh .
JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER-TRANSACTIONS OF THE ASME, 2014, 136 (06)
[5]  
Balakrishnan SR, 1996, FUZZY SET SYST, V78, P1, DOI 10.1016/0165-0114(95)00195-6
[6]   NARX models of an industrial power plant gas turbine [J].
Basso, M ;
Giarré, L ;
Groppi, S ;
Zappa, G .
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2005, 13 (04) :599-604
[7]  
Bettocchi K., 2004, GT200453421 ASME
[8]   Artificial intelligence for the diagnostics of gas turbines - Part I: Neural network approach [J].
Bettocchi, R. ;
Pinelli, M. ;
Spina, P. R. ;
Venturini, M. .
JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER-TRANSACTIONS OF THE ASME, 2007, 129 (03) :711-719
[9]   Artificial intelligence for the diagnostics of gas turbines - Part II: Neuro-fuzzy approach [J].
Bettocchi, R. ;
Pinelli, M. ;
Spina, P. R. ;
Venturini, M. .
JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER-TRANSACTIONS OF THE ASME, 2007, 129 (03) :720-729
[10]  
BETTOCCHI R, 2006, GT200690118 ASME