Statistical Analysis and Optimum Performanceof the Gas Turbine Power Plant

Click here for a simple search.
[feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
 
 

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)

[img]
Preview
PDF
520Kb

Official URL: http://dx.doi.org/10.15282/ijame.13.1.2016.8.0268

Abstract

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

Item Type:Article
Uncontrolled Keywords:Gas-turbine, ambient temperature, pressure ratio, statistical analyses, optimization
Subjects:T Technology > TJ Mechanical engineering and machinery
Divisions:Faculty of Mechanical Engineering
ID Code:15255
Deposited By: Noorul Farina Arifin
Deposited On:09 Nov 2016 11:05
Last Modified:09 Aug 2017 16:12

Repository Staff Only: item control page

 

 

 

 

 

 

Introduction

An Institutional Repository is an online focus for collecting, preserving, and disseminating any University publication in the digital form for the intellectual sharing.
The UMP Institutional Repository (UMP IR) provides access of University publication such as journal article, conference paper, research paper, thesis and dissertations.


Any Enquiries

Please email or call Knowledge Management staff:-

Pn. Noorul Farina (09-424 5605) OR
Cik Ratna Wilis Haryati (09-424 5612)

Any correspondence concerning this specific repository should be sent to umplibrary@ump.edu.my