Statistical Analysis and Optimum Performanceof the Gas Turbine Power Plant

The statistical analyses of the gas turbine power plant are presented in this paper. A novel approach for analysing gas turbine operation and performance is developed utilizing statistical modelling technology, specifically response surface methodology (RSM) which was based on the central composite...

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Main Authors:	Thamir K., Ibrahim, M. M., Rahman, M. K., Mohamed, F., Basrawi
Format:	Article
Language:	English
Published:	Universiti Malaysia Pahang 2016
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/15255/ http://umpir.ump.edu.my/id/eprint/15255/ http://umpir.ump.edu.my/id/eprint/15255/ http://umpir.ump.edu.my/id/eprint/15255/1/fkm-2016-thamir-Statistical%20analysis%20and%20optimum%20performance.pdf

id	ump-15255
recordtype	eprints
spelling	ump-152552017-08-09T08:12:29Z http://umpir.ump.edu.my/id/eprint/15255/ Statistical Analysis and Optimum Performanceof the Gas Turbine Power Plant Thamir K., Ibrahim M. M., Rahman M. K., Mohamed F., Basrawi TJ Mechanical engineering and machinery The statistical analyses of the gas turbine power plant are presented in this paper. A novel approach for analysing gas turbine operation and performance is developed utilizing statistical modelling technology, specifically response surface methodology (RSM) which was based on the central composite design (CCD) applied. The proposed correlations have a remarkably satisfactory performance for all simulation data, where the determination coefficient (R2) about 0.985. Moreover, the newly developed correlations were validated with the real data from the gas turbine of MARAFIQ CCGT power plant. Moreover, the newly developed correlations were validated with the real data from the GT units in the MARAFIQ CCGT power plant. The error analysis was applying to approximation the error (1.123% of the GT plants). From applied the ANFIS technique, the optimum thermal efficiency was about 56% with the effect of the pressure ratio and compressor isentropic efficiency Universiti Malaysia Pahang 2016 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/15255/1/fkm-2016-thamir-Statistical%20analysis%20and%20optimum%20performance.pdf Thamir K., Ibrahim and M. M., Rahman and M. K., Mohamed and F., Basrawi (2016) Statistical Analysis and Optimum Performanceof the Gas Turbine Power Plant. International Journal of Automotive and Mechanical Engineering (IJAME), 13 (1). pp. 3215-3225. ISSN 1985-9325(Print); 2180-1606 (Online) http://dx.doi.org/10.15282/ijame.13.1.2016.8.0268 DOI: 10.15282/ijame.13.1.2016.8.0268
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery Thamir K., Ibrahim M. M., Rahman M. K., Mohamed F., Basrawi Statistical Analysis and Optimum Performanceof the Gas Turbine Power Plant
description	The statistical analyses of the gas turbine power plant are presented in this paper. A novel approach for analysing gas turbine operation and performance is developed utilizing statistical modelling technology, specifically response surface methodology (RSM) which was based on the central composite design (CCD) applied. The proposed correlations have a remarkably satisfactory performance for all simulation data, where the determination coefficient (R2) about 0.985. Moreover, the newly developed correlations were validated with the real data from the gas turbine of MARAFIQ CCGT power plant. Moreover, the newly developed correlations were validated with the real data from the GT units in the MARAFIQ CCGT power plant. The error analysis was applying to approximation the error (1.123% of the GT plants). From applied the ANFIS technique, the optimum thermal efficiency was about 56% with the effect of the pressure ratio and compressor isentropic efficiency
format	Article
author	Thamir K., Ibrahim M. M., Rahman M. K., Mohamed F., Basrawi
author_facet	Thamir K., Ibrahim M. M., Rahman M. K., Mohamed F., Basrawi
author_sort	Thamir K., Ibrahim
title	Statistical Analysis and Optimum Performanceof the Gas Turbine Power Plant
title_short	Statistical Analysis and Optimum Performanceof the Gas Turbine Power Plant
title_full	Statistical Analysis and Optimum Performanceof the Gas Turbine Power Plant
title_fullStr	Statistical Analysis and Optimum Performanceof the Gas Turbine Power Plant
title_full_unstemmed	Statistical Analysis and Optimum Performanceof the Gas Turbine Power Plant
title_sort	statistical analysis and optimum performanceof the gas turbine power plant
publisher	Universiti Malaysia Pahang
publishDate	2016
url	http://umpir.ump.edu.my/id/eprint/15255/ http://umpir.ump.edu.my/id/eprint/15255/ http://umpir.ump.edu.my/id/eprint/15255/ http://umpir.ump.edu.my/id/eprint/15255/1/fkm-2016-thamir-Statistical%20analysis%20and%20optimum%20performance.pdf
first_indexed	2023-09-18T22:19:43Z
last_indexed	2023-09-18T22:19:43Z
_version_	1777415575148953600

Statistical Analysis and Optimum Performanceof the Gas Turbine Power Plant

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