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Optimization of a Carbon Capture Process in Power Plants using Absorption Technology

 

Table Of Contents


Chapter ONE

: 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 TWO

: Literature Review 2.1 Overview of Carbon Capture Processes
2.2 Absorption Technology in Carbon Capture
2.3 Power Plant Emissions and Carbon Capture
2.4 Previous Studies on Carbon Capture Optimization
2.5 Environmental Impacts of Carbon Capture
2.6 Economic Considerations in Carbon Capture
2.7 Innovations in Carbon Capture Technologies
2.8 Policy and Regulatory Frameworks on Carbon Capture
2.9 Challenges in Implementing Carbon Capture
2.10 Future Trends in Carbon Capture Technologies

Chapter THREE

: Research Methodology 3.1 Research Design
3.2 Data Collection Methods
3.3 Sampling Techniques
3.4 Experimental Setup
3.5 Data Analysis Methods
3.6 Validation of Results
3.7 Ethical Considerations
3.8 Limitations of the Methodology

Chapter FOUR

: Discussion of Findings 4.1 Analysis of Carbon Capture Optimization Results
4.2 Comparison with Existing Models
4.3 Interpretation of Data
4.4 Implications of Findings
4.5 Recommendations for Practice
4.6 Suggestions for Further Research

Chapter FIVE

: Conclusion and Summary 5.1 Summary of Key Findings
5.2 Conclusions Drawn
5.3 Contribution to Knowledge
5.4 Practical Implications
5.5 Recommendations for Future Work

Thesis Abstract

Abstract
The continuous rise in global energy demand has led to a significant increase in the emissions of greenhouse gases, particularly carbon dioxide (CO2), from power plants. In response to this challenge, carbon capture and storage (CCS) technologies have emerged as a promising solution to mitigate CO2 emissions and combat climate change. Among the various CCS technologies, absorption technology stands out as an effective method for capturing CO2 from flue gas streams in power plants. This thesis focuses on the optimization of a carbon capture process in power plants using absorption technology. Chapter One provides an introduction to the research topic, presenting the background of the study, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definition of terms. The literature review in Chapter Two explores ten key aspects related to carbon capture processes, absorption technology, power plant emissions, optimization techniques, and previous research studies in the field. Chapter Three outlines the research methodology employed in this study, including the selection of the study area, data collection methods, experimental design, process simulation, optimization algorithms, sensitivity analysis, and validation techniques. The detailed methodology ensures the validity and reliability of the research findings. Chapter Four presents an in-depth discussion of the findings obtained from the optimization of the carbon capture process in power plants using absorption technology. The chapter explores the impact of various parameters on the efficiency and cost-effectiveness of the carbon capture process, highlighting the key factors that influence the overall performance of the system. The conclusion and summary in Chapter Five provide a comprehensive overview of the research findings, discussing the implications of the optimized carbon capture process for power plant operations, environmental sustainability, and economic feasibility. The conclusions drawn from the study offer valuable insights for stakeholders in the energy sector and policymakers seeking to implement carbon capture technologies. In conclusion, this thesis contributes to the ongoing research efforts aimed at improving the efficiency and effectiveness of carbon capture processes in power plants. By optimizing the absorption technology for CO2 capture, this study offers a viable pathway towards reducing greenhouse gas emissions and advancing sustainable energy production in the global power sector.

Thesis Overview

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