Multi-objective-optimization of process parameters of industrial-gas-turbine fueled with natural gas by using Grey-Taguchi and ANN methods for better performance

Gul, M; Kalam, MA; Mujtaba, MA; Alam, S; Bashir, MN; Javed, I; Aziz, U; Farid, MR; Hassan, MT; Iqbal, S

Multi-objective-optimization of process parameters of industrial-gas-turbine fueled with natural gas by using Grey-Taguchi and ANN methods for better performance

Gul, M Kalam, MA Mujtaba, MA Alam, S Bashir, MN Javed, I Aziz, U Farid, MR Hassan, MT Iqbal, S

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Publisher:: ELSEVIER
Publication Type:: Journal Article
Citation:: Energy Reports, 2020, 6, pp. 2394-2402
Issue Date:: 2020-11-01

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Field	Value	Language
dc.contributor.author	Gul, M
dc.contributor.author	Kalam, MA
dc.contributor.author	Mujtaba, MA
dc.contributor.author	Alam, S
dc.contributor.author	Bashir, MN
dc.contributor.author	Javed, I
dc.contributor.author	Aziz, U
dc.contributor.author	Farid, MR
dc.contributor.author	Hassan, MT
dc.contributor.author	Iqbal, S
dc.date.accessioned	2022-10-30T20:28:10Z
dc.date.available	2022-10-30T20:28:10Z
dc.date.issued	2020-11-01
dc.identifier.citation	Energy Reports, 2020, 6, pp. 2394-2402
dc.identifier.issn	2352-4847
dc.identifier.issn	2352-4847
dc.identifier.uri	http://hdl.handle.net/10453/162962
dc.description.abstract	Gas-turbines are widely utilized in the power generation sectors as these require low operational cost, have very good efficiencies among other turbines, and produce less pollution but required to improve their performances further. This study used efficient and simple optimization methods of grey Taguchi and ANN to enhance gas turbine performance. The objective was to increase ηth, horsepower, and to decrease SFC and heat release of the industrial gas turbine (model # T-4502) by optimizing different levels of input process parameters by gyey-Taguchi method. Finally, air inlet temperature of 28.8 °C,14400 rpm and cartridge filter were found as optimal input parameters at which gas turbine's performance improved with less consumption of natural gas. Moreover, ANOVA analysis revealed that ‘air-inlet-temperature’ is the dominant and ‘type of air-inlet-filter’ is the least effective process parameter with 71.17% and 1.40% impacts on the output parameters of the gas turbine. Confirmatory test was carried out experimentally and by ANN at suggested optimal level of input parameters, satisfactory results obtained which validates the effectiveness of the grey-Taguchi-method.
dc.language	English
dc.publisher	ELSEVIER
dc.relation.ispartof	Energy Reports
dc.relation.isbasedon	10.1016/j.egyr.2020.08.002
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	0906 Electrical and Electronic Engineering, 0913 Mechanical Engineering
dc.title	Multi-objective-optimization of process parameters of industrial-gas-turbine fueled with natural gas by using Grey-Taguchi and ANN methods for better performance
dc.type	Journal Article
utslib.citation.volume	6
utslib.for	0906 Electrical and Electronic Engineering
utslib.for	0913 Mechanical Engineering
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
utslib.copyright.status	open_access	*
dc.date.updated	2022-10-30T20:28:08Z
pubs.publication-status	Published
pubs.volume	6

Abstract:

Gas-turbines are widely utilized in the power generation sectors as these require low operational cost, have very good efficiencies among other turbines, and produce less pollution but required to improve their performances further. This study used efficient and simple optimization methods of grey Taguchi and ANN to enhance gas turbine performance. The objective was to increase ηth, horsepower, and to decrease SFC and heat release of the industrial gas turbine (model # T-4502) by optimizing different levels of input process parameters by gyey-Taguchi method. Finally, air inlet temperature of 28.8 °C,14400 rpm and cartridge filter were found as optimal input parameters at which gas turbine's performance improved with less consumption of natural gas. Moreover, ANOVA analysis revealed that ‘air-inlet-temperature’ is the dominant and ‘type of air-inlet-filter’ is the least effective process parameter with 71.17% and 1.40% impacts on the output parameters of the gas turbine. Confirmatory test was carried out experimentally and by ANN at suggested optimal level of input parameters, satisfactory results obtained which validates the effectiveness of the grey-Taguchi-method.

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http://hdl.handle.net/10453/162962