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Introduction

Thermal energy storage (TES) systems are essential for effectively utilizing renewable energy sources by capturing excess heat for later use. Phase change materials (PCMs) are a promising solution for TES due to their ability to store and release large amounts of energy during phase transitions. Computational modeling is a powerful tool for understanding the complex heat transfer mechanisms in PCM-based TES systems. This thesis focuses on developing a computational model to analyze the heat transfer behavior of a PCM for thermal energy storage applications.

Chapter 1: Introduction
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 2: Literature Review
2.1 Overview of Thermal Energy Storage
2.2 Phase Change Materials for TES
2.3 Heat Transfer Mechanisms in PCM-based TES Systems
2.4 Computational Modeling in Heat Transfer
2.5 Previous Studies on PCM Modeling
2.6 Challenges in PCM Modeling
2.7 Advances in Computational Methods
2.8 Validation of Computational Models
2.9 Applications of PCM-based TES Systems
2.10 Future Directions in TES Research

Chapter 3: Research Methodology
3.1 Research Design
3.2 Selection of PCM and Experimental Setup
3.3 Modeling Assumptions and Governing Equations
3.4 Discretization and Numerical Methods
3.5 Simulation Setup and Boundary Conditions
3.6 Validation of Computational Model
3.7 Sensitivity Analysis
3.8 Parametric Studies
3.9 Model Optimization
3.10 Statistical Analysis

Chapter 4: Discussion of Findings
4.1 Analysis of Heat Transfer Behavior in PCM
4.2 Effect of PCM Properties on Thermal Performance
4.3 Comparison of Simulation Results with Experimental Data
4.4 Optimization of TES System Design
4.5 Sensitivity of Model to Input Parameters
4.6 Impact of Boundary Conditions on Heat Transfer
4.7 Computational Efficiency of the Model
4.8 Discussion on Model Limitations
4.9 Future Research Directions
4.10 Practical Implications of Findings

Chapter 5: Conclusion
5.1 Summary of Findings
5.2 Contributions to TES Research
5.3 Implications for PCM-based TES Systems
5.4 Recommendations for Future Work
5.5 Conclusion

Thesis Overview:

Thermal energy storage (TES) systems play a crucial role in enhancing the efficiency and reliability of renewable energy sources by storing excess heat and releasing it when needed. Phase change materials (PCMs) have emerged as a promising solution for TES due to their high energy storage capacity and temperature regulation properties during phase transitions. Computational modeling has become an indispensable tool for studying the heat transfer mechanisms in PCM-based TES systems, as it allows for a detailed analysis of the thermal behavior of PCMs under varying conditions.

This thesis focuses on developing a computational model to analyze the heat transfer behavior of a PCM for thermal energy storage applications. The research methodology involves selecting a suitable PCM material, setting up an experimental configuration, defining the governing equations, implementing numerical methods for solving the equations, setting up simulation parameters, and validating the computational model. The study aims to investigate the effects of PCM properties, boundary conditions, and system design on the thermal performance of PCM-based TES systems.

The literature review provides an overview of TES systems, the characteristics of PCMs, heat transfer mechanisms in PCM-based TES systems, computational modeling techniques, previous studies on PCM modeling, challenges in PCM modeling, advances in computational methods, and future directions in TES research. The discussion of findings includes an analysis of heat transfer behavior in the PCM, the effect of PCM properties on thermal performance, comparison of simulation results with experimental data, optimization of TES system design, sensitivity analysis, and model limitations. The conclusion summarizes the findings, discusses the contributions to TES research, implications for PCM-based TES systems, recommendations for future work, and concludes the thesis.

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