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.

Thesis Overview

The project titled "Design and Implementation of an Automated Building Energy Management System" aims to address the growing need for efficient energy management in buildings. With the increasing focus on sustainability and energy conservation, there is a critical need for innovative solutions to monitor and optimize energy usage in buildings. This research project seeks to develop a comprehensive system that leverages automation and advanced technologies to effectively manage energy consumption in buildings. The implementation of an automated building energy management system involves the integration of sensors, actuators, and control systems to monitor and regulate various energy-consuming devices and systems within a building. By collecting real-time data on energy usage and building conditions, the system can analyze patterns, identify inefficiencies, and implement strategies to optimize energy consumption. This proactive approach not only helps reduce energy waste but also contributes to cost savings and environmental sustainability. Key components of the proposed system include a centralized monitoring and control platform, smart sensors for data collection, intelligent algorithms for analysis and decision-making, and automated control mechanisms for adjusting energy usage in real-time. Through the seamless integration of these components, the system can provide building owners, facility managers, and occupants with valuable insights into energy usage patterns, performance metrics, and potential areas for improvement. The research methodology for this project involves a thorough analysis of existing energy management systems, technologies, and practices to identify best practices and potential areas for innovation. The design phase will focus on developing a scalable and adaptable system architecture that can be customized to suit different building types and energy requirements. The implementation phase will involve testing the system in a real-world building environment to evaluate its performance, reliability, and effectiveness in optimizing energy consumption. The expected outcomes of this research project include a fully functional prototype of an automated building energy management system, comprehensive documentation of the system architecture and components, performance evaluation results, and recommendations for future enhancements and applications. By designing and implementing an innovative energy management solution, this project aims to contribute to the advancement of sustainable building practices and the reduction of energy consumption and carbon emissions in the built environment.