Lightweight methane-air gas turbine controller and simulator

Due to the uncertainties of determining stable, efficient, and safe operating conditions of methane-air gas turbines and the complexity of involving multivariable parameters, the task of controlling and analyzing methane-gas turbines remains a challenge despite the existing methods of control and an...

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Main Authors: Odi Fawwaz Alrebei, Anwar Hamdan Al Assaf, Mohammad S. Al-Kuwari, Abdulkarem Amhamed
Format: Article
Language:English
Published: Elsevier 2022-08-01
Series:Energy Conversion and Management: X
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2590174522000654
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author Odi Fawwaz Alrebei
Anwar Hamdan Al Assaf
Mohammad S. Al-Kuwari
Abdulkarem Amhamed
author_facet Odi Fawwaz Alrebei
Anwar Hamdan Al Assaf
Mohammad S. Al-Kuwari
Abdulkarem Amhamed
author_sort Odi Fawwaz Alrebei
collection DOAJ
description Due to the uncertainties of determining stable, efficient, and safe operating conditions of methane-air gas turbines and the complexity of involving multivariable parameters, the task of controlling and analyzing methane-gas turbines remains a challenge despite the existing methods of control and analyses in the literature. In fact, as far as the methane-air gas turbines are concerned, there is still much room for improvement within the criterion of (computation effort, settle time, its capacity to adjust with a variable range of set-points, as well as its stable, steady, and dynamic outputs can all be enhanced). Furthermore, an accurate system-identification phase has been adopted in this paper to initiate the process of advancing an efficient gas turbine controller by determining the system's sensitivities towards the involved multivariable parameters.Therefore, this paper presents a control and analysis tool for methane-air gas turbines. This tool is a ‘light code (the time to reach the desired set-point (i.e., settle period reaches 1 s)) to serve as a methane-air gas turbine controller that can be used for experimentation or applied on an industrial scale. Moreover, the code is designed with a user interface that enables the simulations and system identification for the methane-fueled gas turbine, thus; ensuring that the governing parameters are calibrated precisely. The code was created using LabVIEW and GASEQ and is driven by conventional gas turbine cycle assessments. A simulation case study has been utilized as a system identification phase to determine the system's sensitivity of temperatures and works at the three primary stages of a simple cycle methane-air gas turbine (compressor, combustion chamber, and turbine) toward the multivariable input parameters of the compression stage (compressor pressure ratio, efficiency, inlet pressure, and temperature), the combustion phase (methane, airflow rates) and the expansion phase (turbine ratio of pressures and isentropic efficiency). Based on the sensitivity analysis performed through the developed code, the turbine output temperature is shown to be very sensitive to the turbine's parameters (P04/P03 and εt). This essentially emphasizes the possibility of including waste heat utilization mechanisms (i.e., heat exchangers, combined cycles) for turbines with high P04/P03 or/and low εt, resulting in a high turbine outlet temperature.Based on the performed system identification phase and sensitivity analyses, the intervals of the Proportional controller gain (Kc), Integral time (ti), and Derivative time (td) have been identified to guarantee a settling period (Ts) within [1 s-60 s] to achieve the desired temperature set-point which eliminates turbine overheating.
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spelling doaj.art-ad56c4e62cf84c49b1c64b99d091dd212022-12-22T04:01:06ZengElsevierEnergy Conversion and Management: X2590-17452022-08-0115100242Lightweight methane-air gas turbine controller and simulatorOdi Fawwaz Alrebei0Anwar Hamdan Al Assaf1Mohammad S. Al-Kuwari2Abdulkarem Amhamed3Hamad bin Khalifa University, Qatar Environment and Energy Research Institute (QEERI), Doha 34110, Qatar; Corresponding author.Amman Arab University, Department of Aviation Sciences, Amman 11953, JordanEnvironmental and Municipal Studies Institute, Ministry of Municipality and Environment, Doha 8GGH+Q8J, QatarHamad bin Khalifa University, Qatar Environment and Energy Research Institute (QEERI), Doha 34110, QatarDue to the uncertainties of determining stable, efficient, and safe operating conditions of methane-air gas turbines and the complexity of involving multivariable parameters, the task of controlling and analyzing methane-gas turbines remains a challenge despite the existing methods of control and analyses in the literature. In fact, as far as the methane-air gas turbines are concerned, there is still much room for improvement within the criterion of (computation effort, settle time, its capacity to adjust with a variable range of set-points, as well as its stable, steady, and dynamic outputs can all be enhanced). Furthermore, an accurate system-identification phase has been adopted in this paper to initiate the process of advancing an efficient gas turbine controller by determining the system's sensitivities towards the involved multivariable parameters.Therefore, this paper presents a control and analysis tool for methane-air gas turbines. This tool is a ‘light code (the time to reach the desired set-point (i.e., settle period reaches 1 s)) to serve as a methane-air gas turbine controller that can be used for experimentation or applied on an industrial scale. Moreover, the code is designed with a user interface that enables the simulations and system identification for the methane-fueled gas turbine, thus; ensuring that the governing parameters are calibrated precisely. The code was created using LabVIEW and GASEQ and is driven by conventional gas turbine cycle assessments. A simulation case study has been utilized as a system identification phase to determine the system's sensitivity of temperatures and works at the three primary stages of a simple cycle methane-air gas turbine (compressor, combustion chamber, and turbine) toward the multivariable input parameters of the compression stage (compressor pressure ratio, efficiency, inlet pressure, and temperature), the combustion phase (methane, airflow rates) and the expansion phase (turbine ratio of pressures and isentropic efficiency). Based on the sensitivity analysis performed through the developed code, the turbine output temperature is shown to be very sensitive to the turbine's parameters (P04/P03 and εt). This essentially emphasizes the possibility of including waste heat utilization mechanisms (i.e., heat exchangers, combined cycles) for turbines with high P04/P03 or/and low εt, resulting in a high turbine outlet temperature.Based on the performed system identification phase and sensitivity analyses, the intervals of the Proportional controller gain (Kc), Integral time (ti), and Derivative time (td) have been identified to guarantee a settling period (Ts) within [1 s-60 s] to achieve the desired temperature set-point which eliminates turbine overheating.http://www.sciencedirect.com/science/article/pii/S2590174522000654Temperature controlCH4-air combustionCycle analyses system identificationSensitivity analyses
spellingShingle Odi Fawwaz Alrebei
Anwar Hamdan Al Assaf
Mohammad S. Al-Kuwari
Abdulkarem Amhamed
Lightweight methane-air gas turbine controller and simulator
Energy Conversion and Management: X
Temperature control
CH4-air combustion
Cycle analyses system identification
Sensitivity analyses
title Lightweight methane-air gas turbine controller and simulator
title_full Lightweight methane-air gas turbine controller and simulator
title_fullStr Lightweight methane-air gas turbine controller and simulator
title_full_unstemmed Lightweight methane-air gas turbine controller and simulator
title_short Lightweight methane-air gas turbine controller and simulator
title_sort lightweight methane air gas turbine controller and simulator
topic Temperature control
CH4-air combustion
Cycle analyses system identification
Sensitivity analyses
url http://www.sciencedirect.com/science/article/pii/S2590174522000654
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AT anwarhamdanalassaf lightweightmethaneairgasturbinecontrollerandsimulator
AT mohammadsalkuwari lightweightmethaneairgasturbinecontrollerandsimulator
AT abdulkaremamhamed lightweightmethaneairgasturbinecontrollerandsimulator