Thesis Abstract

Abstract
The urgent need to mitigate greenhouse gas emissions and combat climate change has driven significant interest in the development and optimization of carbon capture and storage (CCS) technologies in power plants. This thesis presents a comprehensive study on the optimization of CCS technologies in power plants to enhance their efficiency and effectiveness in reducing carbon dioxide emissions. The research focuses on examining various strategies and approaches to improve the performance of CCS technologies, considering both technical and economic aspects. The study begins with a detailed review of the background and current state of CCS technologies, highlighting their importance in achieving carbon reduction targets. The problem statement underscores the challenges and limitations faced by existing CCS technologies, emphasizing the need for optimization to enhance their performance. The objectives of the study are outlined to provide a clear roadmap for achieving the desired outcomes, while the limitations and scope of the research define the boundaries and focus areas of the investigation. In the literature review section, ten key aspects related to CCS technologies, including capture methods, storage options, integration with power plants, and environmental impacts, are critically analyzed to identify gaps and opportunities for optimization. The research methodology chapter details the approach and methods employed in the study, including data collection, analysis techniques, and simulation tools utilized to evaluate the performance of CCS technologies. The discussion of findings chapter presents a thorough analysis of the results obtained from the optimization efforts, highlighting the improvements achieved in terms of efficiency, cost-effectiveness, and environmental performance. Various scenarios and strategies for optimizing CCS technologies are explored, considering factors such as energy consumption, capture rates, and storage capacity. The economic implications of the optimization strategies are also examined to assess the feasibility and viability of implementing these improvements in real-world power plant settings. In the conclusion and summary chapter, the key findings and implications of the research are summarized, emphasizing the significance of optimizing CCS technologies for sustainable energy production and carbon mitigation. The study contributes valuable insights into the challenges and opportunities in enhancing the performance of CCS technologies, laying the groundwork for further research and development in this critical field. Overall, this thesis provides a comprehensive examination of the optimization of carbon capture and storage technologies in power plants, offering valuable recommendations and insights for policymakers, industry stakeholders, and researchers working towards a sustainable energy future.

Thesis Overview

The project titled "Optimization of Carbon Capture and Storage Technologies in Power Plants" focuses on addressing the critical need for reducing greenhouse gas emissions from power plants through the implementation of carbon capture and storage (CCS) technologies. This research aims to optimize the efficiency and effectiveness of CCS technologies to enhance their feasibility and practicality in power plant operations. The utilization of fossil fuels for electricity generation is a major contributor to global carbon dioxide emissions, leading to climate change and environmental degradation. CCS technologies offer a promising solution by capturing carbon dioxide emissions from power plants and storing them underground to prevent their release into the atmosphere. However, the widespread adoption of CCS technologies faces various challenges related to cost, energy consumption, and operational complexities. This research will delve into the current state of CCS technologies, examining their strengths, limitations, and potential for optimization. By conducting a comprehensive literature review, the project will explore the latest advancements in CCS technologies, including different capture methods, storage techniques, and integration strategies with power plant operations. Moreover, the research methodology will involve the development of mathematical models, simulation studies, and techno-economic analyses to optimize the performance of CCS technologies in power plants. By investigating key parameters such as capture efficiency, energy consumption, storage capacity, and cost-effectiveness, the project aims to identify the most efficient and sustainable approaches for implementing CCS technologies in power generation facilities. The findings of this research will provide valuable insights for power plant operators, policymakers, and environmental stakeholders seeking to mitigate carbon emissions and achieve sustainable energy production. By optimizing CCS technologies, this project contributes to the advancement of clean energy solutions and supports the transition towards a low-carbon future.