Statistical analysis and optimum performance of the gas turbine power plant

Statistical analysis and optimum performance of 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: Ibrahim, Thamir K., M. M., Rahman, F., Basrawi
Format: Article
Language:English
Published: Universiti Malaysia Pahang 2016
Subjects:
TS Manufactures
Online Access:http://umpir.ump.edu.my/id/eprint/20409/
http://umpir.ump.edu.my/id/eprint/20409/
http://umpir.ump.edu.my/id/eprint/20409/
http://umpir.ump.edu.my/id/eprint/20409/1/Statistical%20analysis%20and%20optimum%20performance%20of%20the%20gas%20turbine%20power%20plant.pdf
id ump-20409
recordtype eprints
spelling ump-204092018-07-31T04:25:16Z http://umpir.ump.edu.my/id/eprint/20409/ Statistical analysis and optimum performance of the gas turbine power plant Ibrahim, Thamir K. M. M., Rahman F., Basrawi TS Manufactures 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 2016-06 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/20409/1/Statistical%20analysis%20and%20optimum%20performance%20of%20the%20gas%20turbine%20power%20plant.pdf Ibrahim, Thamir K. and M. M., Rahman and F., Basrawi (2016) Statistical analysis and optimum performance of the gas turbine power plant. International Journal of Automotive and Mechanical Engineering (IJAME), 13 (1). pp. 3215-3225. ISSN 2229-8649 (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 TS Manufactures
spellingShingle TS Manufactures
Ibrahim, Thamir K.
M. M., Rahman
F., Basrawi
Statistical analysis and optimum performance of 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 Ibrahim, Thamir K.
M. M., Rahman
F., Basrawi
author_facet Ibrahim, Thamir K.
M. M., Rahman
F., Basrawi
author_sort Ibrahim, Thamir K.
title Statistical analysis and optimum performance of the gas turbine power plant
title_short Statistical analysis and optimum performance of the gas turbine power plant
title_full Statistical analysis and optimum performance of the gas turbine power plant
title_fullStr Statistical analysis and optimum performance of the gas turbine power plant
title_full_unstemmed Statistical analysis and optimum performance of the gas turbine power plant
title_sort statistical analysis and optimum performance of the gas turbine power plant
publisher Universiti Malaysia Pahang
publishDate 2016
url http://umpir.ump.edu.my/id/eprint/20409/
http://umpir.ump.edu.my/id/eprint/20409/
http://umpir.ump.edu.my/id/eprint/20409/
http://umpir.ump.edu.my/id/eprint/20409/1/Statistical%20analysis%20and%20optimum%20performance%20of%20the%20gas%20turbine%20power%20plant.pdf
first_indexed 2023-09-18T22:29:24Z
last_indexed 2023-09-18T22:29:24Z
_version_ 1777416184361123840

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