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Thermodynamic analysis of simple gas turbine cycle with multiple regression modeling and optimization.
Author(s):
1. Abdul Gahfoor Memon: Department of Mechanical Engineering, Mehran University of Engineering & Technology, Jamshoro, Pakistan
2. Rizwan Ahmed Memon: Department of Mechanical Engineering, Mehran University of Engineering & Technology, Jamshoro, Pakistan
3. Khanji Harijan: Department of Mechanical Engineering, Mehran University of Engineering & Technology, Jamshoro, Pakistan
Abstract:
In this study, thermodynamic and statistical analyses were performed on a gas turbine system, to assess the impact of some important operating parameters like CIT (Compressor Inlet Temperature), PR (Pressure Ratio) and TIT (Turbine Inlet Temperature) on t=its performance characteristics such as net power output, energy efficiency, energy efficiency and fuel consumption. Each performance characteristic was enunciated as a function of operating parameters, followed by a parametric study and optimization. The results showed that the performance characteristics increase with an increase in the TIT and a decrease in the CIT, increase with the PR up to certain initial values and then start to decrease, whereas the fuel consumption always decreases with an increase in the PR. The results of exergy analysis showed the combustion chamber as a major contributor to the exergy destruction, followed by stack gas. Subsequently, multiple regression models were developed to correlate each of the response variables (performance characteristic) with the predictor variables (operating parameters). The regression model equations showed a significant statistical relationship between the predictor and response variables.
Page(s): 294-303
DOI: DOI not available
Published: Journal: Mehran University Research Journal of Engineering and Technology, Volume: 33, Issue: 3, Year: 2014
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