Development of an Intelligent Energy Management System for Smart Buildings

Thesis Abstract

Abstract
The rapid advancement in technology has led to the emergence of smart buildings that are equipped with various sensors and automation systems to enhance energy efficiency and occupant comfort. In light of this, the development of an Intelligent Energy Management System (IEMS) for smart buildings has become increasingly important. This thesis aims to design and implement an IEMS that can optimize energy consumption, reduce costs, and minimize environmental impact in smart buildings. Chapter One provides an introduction to the research, presenting the background of the study, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definition of key terms. Chapter Two consists of a comprehensive literature review, covering ten key aspects related to energy management systems, smart buildings, automation technologies, and energy optimization strategies. Chapter Three outlines the research methodology employed in this study, including the research design, data collection methods, data analysis techniques, and evaluation criteria. The chapter also discusses the selection of sensors, actuators, and control algorithms for the IEMS implementation. In Chapter Four, the findings of the research are presented and analyzed in detail. The chapter examines the performance of the IEMS in optimizing energy consumption, reducing costs, and improving overall building efficiency. Various scenarios and simulations are conducted to evaluate the effectiveness of the system under different conditions. Chapter Five concludes the thesis by summarizing the key findings and contributions of the research. The conclusions drawn from the study are discussed, along with recommendations for future research and practical implications for the implementation of IEMS in real-world smart buildings. Overall, this thesis contributes to the field of smart building technology by developing an Intelligent Energy Management System that can effectively optimize energy consumption and enhance sustainability in buildings. The research findings provide valuable insights for building managers, engineers, and policymakers seeking to improve energy efficiency and reduce environmental impact in the built environment.