Thesis Abstract

Abstract
The rapid advancement of technology has paved the way for smarter and more sustainable solutions in various sectors, including building infrastructure. This thesis presents the design and implementation of an energy-efficient smart building system aimed at optimizing energy consumption and enhancing overall building performance. The study explores the integration of cutting-edge technologies such as Internet of Things (IoT), sensor networks, data analytics, and automation to create a smart building ecosystem that promotes energy efficiency and sustainability. 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 definitions of key terms. The literature review in Chapter Two examines existing research and developments in smart building systems, energy management, IoT applications in buildings, and related technologies, providing a comprehensive overview of the current state of the field. Chapter Three details the research methodology employed in this study, including the research design, data collection methods, tools, and techniques used for data analysis. The chapter also outlines the selection criteria for the case study building and the implementation strategy for the smart building system. Chapter Four presents a detailed discussion of the findings obtained from the implementation of the energy-efficient smart building system. The chapter highlights the key features, functionalities, and performance metrics of the system, demonstrating how it optimizes energy consumption, enhances building comfort, and improves overall operational efficiency. Finally, Chapter Five concludes the thesis by summarizing the key findings, discussing the implications of the research, and highlighting the contributions to the field of smart building systems. The chapter also offers recommendations for future research and practical applications of the proposed energy-efficient smart building system. Overall, this thesis contributes to the growing body of knowledge on energy-efficient smart building systems and provides valuable insights for researchers, practitioners, and policymakers seeking to enhance building sustainability and energy efficiency through innovative technological solutions.

Thesis Overview