Research Papers: Gas Turbines: Controls, Diagnostics, and Instrumentation

Semi-Simplified Black-Box Dynamic Modeling of an Industrial Gas Turbine Based on Real Performance Characteristics

[+] Author and Article Information
Abdollah Mehrpanahi

Faculty of Mechanical Engineering,
Shahid Rajaee Teacher Training University,
Tehran 1678815811, Iran
e-mails: mehrpanahi@srttu.edu; mehrpanahi@gmail.com

Gholamhasan Payganeh

Faculty of Mechanical Engineering,
Shahid Rajaee Teacher Training University,
Tehran 1678815811, Iran
e-mail: g.payganeh@srttu.edu

Mohammadreza Arbabtafti

Faculty of Mechanical Engineering,
Shahid Rajaee Teacher Training University,
Tehran 1678815811, Iran
e-mail: arbabtafti@srttu.edu

Ali Hamidavi

Process and Control Engineering Unit,
Mapna Turbine Engineering and
Manufacturing Company (TUGA),
Alborz, Karaj 1918953651, Iran
e-mail: hamidavi.ali@mapnaturbine.com

1Corresponding author.

Contributed by the Controls, Diagnostics and Instrumentation Committee of ASME for publication in the JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER. Manuscript received September 30, 2016; final manuscript received April 26, 2017; published online August 16, 2017. Assoc. Editor: Liang Tang.

J. Eng. Gas Turbines Power 139(12), 121601 (Aug 16, 2017) (12 pages) Paper No: GTP-16-1477; doi: 10.1115/1.4037336 History: Received September 30, 2016; Revised April 26, 2017

The use of multishaft industrial gas turbines is expanding in various industries because of variation in their structure, flexibility, and their appropriate power generation range. In this study, a semi-simplified black-box dynamic modeling has been done for the three-shaft gas turbine MGT-30. Modeling is done in such a way that all the important variables can be calculated and evaluated. One of the important parameters in dynamic modeling of gas turbine is the time lag relevant to the performance properties of sensors and actuators of the system. In this study, in order to measure the transfer function, physical and actual characteristics of the system were applied. Depending on the type of thermocouples (TCs) used, their activation time was eliminated using a lead compensator. In modeling of the system, the functions were related to the implementation of off-design conditions for compliance with the outputs of a real system model, and outputs were presented proportional to the rate and type of changes for each variable. Finally, validation was done by comparing the power-turbine generated power, exhaust gas temperatures downstream of low pressure (LP) turbine, and speeds of LP and high-pressure (HP) turbines with the real values of Qeshm turbogenerator power plant.

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Fig. 4

Fuel discharge dynamic loop

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Fig. 3

MGT-30 semi-simplified dynamic model

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Fig. 2

Three-shaft gas turbine power plant schematic representation

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Fig. 1

The algorithm of producing off-design outputs

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Fig. 5

Thermocouple activation time transfer function structure

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Fig. 6

MGT-30 thermocouple

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Fig. 8

Air delivery from the compressor to the combustion chamber

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Fig. 9

Air delay transfer function block diagram

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Fig. 7

MGT-30 thermocouple equalizing with annular type

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Fig. 10

Air density variations along HP and LP compressors

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Fig. 11

Air flow speed and delay time along HP and LP compressors

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Fig. 12

Comparison of corrected and performance trends of TET from LPT

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Fig. 13

Comparison of primary, corrected, and performance trends of PT power

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Fig. 14

Comparison of HP shaft's speed output of model with performance condition

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Fig. 15

Comparison of LP shaft's speed of model with performance condition

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Fig. 16

Comparison of HP correction speed of model with performance condition in the range of environmental changes

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Fig. 17

Comparison of LP correction speed of model with performance condition in the range of environmental changes



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