Design and Implementation of an Automated Building Energy Management System

Thesis Abstract

Abstract
This thesis presents a comprehensive study on the design and implementation of an Automated Building Energy Management System (ABEMS) aimed at optimizing energy usage in buildings. The rising concerns over energy consumption and the need for sustainable practices have led to a growing interest in developing efficient energy management systems. The ABEMS proposed in this research integrates advanced technologies to monitor, control, and optimize energy usage within a building environment. Chapter One provides an introduction to the research topic, highlighting the background of the study, the problem statement, objectives, limitations, scope, significance, structure of the thesis, and definition of terms. The chapter sets the foundation for understanding the importance of energy management in buildings and the need for automation to enhance efficiency. Chapter Two delves into a comprehensive literature review that examines existing studies, models, and technologies related to building energy management systems. The review covers topics such as energy monitoring and data analytics, control strategies, smart sensors, IoT applications, and integration of renewable energy sources. The chapter provides insights into the current state-of-the-art technologies and practices in the field. Chapter Three outlines the research methodology employed in developing the ABEMS, including system design, implementation strategies, data collection methods, sensor integration, software development, and testing procedures. The chapter discusses the steps taken to design a scalable and adaptable system that can be implemented in various building types. Chapter Four presents a detailed discussion of the findings obtained from the implementation of the ABEMS in a real-world building environment. The chapter analyzes energy consumption patterns, system performance metrics, user feedback, and energy savings achieved through the implementation of the automated system. The discussion highlights the effectiveness of the ABEMS in optimizing energy usage and reducing operational costs. Chapter Five concludes the thesis by summarizing the key findings, discussing the implications of the research, and providing recommendations for future studies. The chapter emphasizes the importance of automated energy management systems in promoting sustainability and reducing environmental impact. The research findings contribute to the advancement of energy-efficient practices in building management and provide valuable insights for researchers, practitioners, and policymakers. In conclusion, the Design and Implementation of an Automated Building Energy Management System presented in this thesis offers a practical and innovative solution for optimizing energy usage in buildings. The research showcases the potential benefits of integrating automation, data analytics, and IoT technologies in energy management practices, paving the way for more sustainable and efficient building operations.