Thesis Abstract

Abstract
This thesis presents the design and implementation of an Energy-Efficient Building Management System (BMS) integrated with Internet of Things (IoT) technology. The aim of this project is to develop a smart and sustainable solution for managing energy consumption in buildings by leveraging IoT devices and sensors. The BMS will monitor and control various building systems such as lighting, heating, ventilation, and air conditioning (HVAC) to optimize energy usage and enhance overall operational efficiency. The introduction provides an overview of the project, highlighting the importance of energy efficiency in buildings and the role of IoT in modern building management systems. The background of the study explores existing literature on BMS, IoT applications in buildings, and the current challenges faced in energy management. The problem statement identifies the lack of comprehensive and integrated solutions for energy-efficient building management, leading to inefficiencies and high energy costs. The objectives of the study include designing a BMS architecture that can collect real-time data from IoT devices, analyzing energy consumption patterns, and implementing smart control algorithms for efficient energy utilization. The limitations of the study are discussed, including constraints related to budget, time, and technology. The scope of the study outlines the specific aspects of the BMS and IoT integration that will be addressed, such as sensor deployment, data analytics, and system optimization. The significance of the study emphasizes the potential impact of the proposed solution on reducing energy consumption, lowering costs, and promoting sustainability in buildings. The structure of the thesis outlines the organization of the chapters, including the introduction, literature review, research methodology, discussion of findings, and conclusion. Definitions of key terms used throughout the thesis are provided to ensure clarity and understanding of the technical concepts. The literature review chapter presents a comprehensive analysis of existing research on BMS, IoT applications in buildings, energy management strategies, and smart control systems. The review covers ten key areas, including building automation, sensor networks, energy monitoring, data analytics, and control algorithms. The research methodology chapter details the approach taken to design and implement the energy-efficient BMS with IoT integration. It includes sections on system architecture, sensor deployment, data collection, analysis methods, algorithm development, and system testing. The chapter also discusses the tools and technologies used in the project and the evaluation criteria for assessing system performance. The discussion of findings chapter presents the results of the BMS implementation, including energy consumption data analysis, system performance evaluation, and comparison with traditional building management approaches. The chapter also addresses any challenges encountered during the implementation process and proposes recommendations for future improvements. In conclusion, this thesis summarizes the key findings and contributions of the project, highlighting the successful design and implementation of an Energy-Efficient Building Management System with IoT Integration. The study demonstrates the potential of IoT technology to transform building management practices and achieve significant energy savings. Future research directions are suggested to enhance the system capabilities and address emerging challenges in energy-efficient building operations.

Thesis Overview