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contributor authorAsgari, Hamid
contributor authorVenturini, Mauro
contributor authorChen, XiaoQi
contributor authorSainudiin, Raazesh
date accessioned2017-05-09T01:07:40Z
date available2017-05-09T01:07:40Z
date issued2014
identifier issn1528-8919
identifier othergtp_136_06_061601.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/154720
description abstractThis study deals with modeling and simulation of the transient behavior of an Industrial Power Plant Gas Turbine (IPGT). The data used for model setup and validation were taken experimentally during the startup procedure of a singleshaft heavy duty gas turbine. Two different models are developed and compared by using both a physicsbased and a blackbox approach, and are implemented by using the matlabآ© tools including Simulink and Neural Network toolbox, respectively. The Simulink model was constructed based on the thermodynamic and energy balance equations in matlab environment. The nonlinear autoregressive with exogenous inputs NARX model was set up by using the same data sets and subsequently applied to each of the data sets separately. The results showed that both Simulink and NARX models are capable of satisfactory prediction, if it is considered that the data used for model training and validation is experimental data taken during gas turbine normal operation by using its standard instrumentation.
publisherThe American Society of Mechanical Engineers (ASME)
titleModeling and Simulation of the Transient Behavior of an Industrial Power Plant Gas Turbine
typeJournal Paper
journal volume136
journal issue6
journal titleJournal of Engineering for Gas Turbines and Power
identifier doi10.1115/1.4026215
journal fristpage61601
journal lastpage61601
identifier eissn0742-4795
treeJournal of Engineering for Gas Turbines and Power:;2014:;volume( 136 ):;issue: 006
contenttypeFulltext


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