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Introduction

Gas turbines are widely used for power generation due to their high efficiency and flexibility in operation. However, with increasing environmental concerns and regulations, there is a growing need to improve the combustion efficiency and reduce emissions from gas turbines. Advanced combustion modeling has emerged as a key tool to achieve these goals by providing insights into the complex combustion processes within gas turbines. This thesis aims to investigate and develop advanced combustion modeling techniques for gas turbines, with a focus on improving efficiency and reducing emissions.

1.1 Introduction
1.2 Background of Study
1.3 Problem Statement
1.4 Objective of Study
1.5 Limitation of Study
1.6 Scope of Study
1.7 Significance of Study
1.8 Structure of the Thesis
1.9 Definition of Terms

Chapter Two: Literature Review
– Review of gas turbine combustion processes
– Overview of current combustion modeling techniques
– Previous studies on advanced combustion modeling for gas turbines
– Impact of combustion efficiency on gas turbine performance
– Emission reduction strategies for gas turbines
– Computational fluid dynamics (CFD) in gas turbine combustion modeling
– Role of turbulence modeling in combustion simulations
– Chemical kinetics modeling for combustion processes
– Importance of heat transfer modeling in gas turbines
– Challenges and future trends in advanced combustion modeling

Chapter Three: System Design and Methodology
– Selection of modeling approach
– Development of combustion model
– Validation of the combustion model
– Computational grid generation
– Boundary conditions setup
– Sensitivity analysis
– Optimization strategies
– Model uncertainties and error estimation

Chapter Four: System Implementation
– Implementation of combustion model in CFD software
– Simulation setup for gas turbine combustion
– Data collection and analysis
– Performance evaluation of the combustion model
– Comparison with experimental data
– Sensitivity analysis results
– Optimization outcomes
– Computational efficiency and scalability

Chapter Five: Conclusion and Summary
– Summary of key findings
– Achievement of research objectives
– Implications of the study
– Recommendations for future research
– Conclusion and closing remarks

Thesis Overview on Advanced Combustion Modeling for Gas Turbines

Gas turbines are essential components of power generation systems, providing efficient and reliable electricity to industries and households. However, the combustion process within gas turbines can be optimized to maximize efficiency and minimize environmental impact. Advanced combustion modeling offers a promising approach to achieve these goals by simulating and analyzing the complex interactions of flow, heat transfer, and chemical reactions within gas turbine combustors.

This thesis focuses on investigating and developing advanced combustion modeling techniques for gas turbines, with the aim of improving combustion efficiency and reducing emissions. The literature review explores the current state of gas turbine combustion modeling, highlighting the importance of turbulence modeling, chemical kinetics, and heat transfer in accurate simulations. Previous studies on advanced combustion modeling are reviewed to identify gaps in knowledge and propose new research directions.

The system design and methodology chapter describes the modeling approach used in this thesis, including the development and validation of a combustion model for gas turbines. Computational fluid dynamics (CFD) simulations are performed to analyze the combustion process, considering factors such as computational grid resolution, boundary conditions, and sensitivity analysis. The system implementation chapter details the implementation of the combustion model in CFD software, simulation setup, data collection, and performance evaluation.

In conclusion, this thesis contributes to the field of advanced combustion modeling for gas turbines by providing insights into the combustion processes and optimizing combustion efficiency. The recommendations for future research include further validation of the combustion model, optimization strategies, and exploring new technologies for emission reduction. Overall, this thesis aims to advance the understanding of gas turbine combustion and contribute to sustainable energy generation.

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