Thesis Abstract

Abstract
This thesis explores the implementation of Internet of Things (IoT) technology to enhance energy efficiency in commercial buildings. As the demand for energy continues to rise, there is an urgent need to develop sustainable solutions to reduce energy consumption and mitigate environmental impact. Commercial buildings are significant energy consumers, and optimizing their energy use can lead to substantial cost savings and environmental benefits. IoT technology offers a promising approach to monitor, control, and optimize energy usage in buildings through real-time data collection and analysis. The research begins with an introduction to the importance of energy efficiency in commercial buildings and the potential of IoT technology to drive improvements in this area. The background of the study provides an overview of the current state of energy consumption in commercial buildings and the challenges faced in achieving energy efficiency. The problem statement highlights the need for innovative solutions to address energy wastage and inefficiencies in commercial buildings. The objectives of the study are to investigate the effectiveness of IoT technology in enhancing energy efficiency, identify key factors influencing energy usage in commercial buildings, and propose strategies for optimizing energy consumption. The study also considers the limitations and challenges associated with implementing IoT solutions in commercial buildings. The scope of the study encompasses an in-depth analysis of energy consumption patterns, the deployment of IoT devices for data collection, and the development of energy management strategies. The significance of the study lies in its potential to provide valuable insights into how IoT technology can be leveraged to improve energy efficiency and sustainability in commercial buildings. The structure of the thesis is organized into five chapters. Chapter 1 provides an introduction to the research topic, background information, problem statement, objectives, limitations, scope, significance, and the definition of key terms. Chapter 2 presents a comprehensive literature review covering ten key aspects related to energy efficiency, IoT technology, and commercial building management. Chapter 3 details the research methodology, including data collection methods, analysis techniques, and the implementation of IoT solutions. The chapter also discusses the selection criteria for case studies and the evaluation of energy efficiency measures. Chapter 4 presents a detailed discussion of the research findings, including the impact of IoT technology on energy efficiency, the identification of energy-saving opportunities, and the implementation of energy management strategies. The chapter also examines the challenges and limitations encountered during the research. Chapter 5 concludes the thesis with a summary of the key findings, implications for practice, and recommendations for future research. The conclusion highlights the potential of IoT technology to revolutionize energy management in commercial buildings and emphasizes the importance of sustainable practices for a greener future. In conclusion, this thesis contributes to the growing body of knowledge on energy efficiency in commercial buildings and demonstrates the potential of IoT technology to drive significant improvements in energy management practices. By leveraging IoT solutions, commercial building owners and operators can optimize energy usage, reduce costs, and contribute to a more sustainable built environment.

Thesis Overview

The project "Enhancing Energy Efficiency in Commercial Buildings through IoT Technology" focuses on leveraging the Internet of Things (IoT) technology to improve energy efficiency in commercial buildings. As the demand for energy continues to rise, it has become imperative to find innovative solutions to reduce energy consumption and promote sustainability. Commercial buildings are significant energy consumers, and optimizing their energy usage can lead to substantial cost savings and environmental benefits. The research will delve into the current challenges faced in commercial buildings in terms of energy efficiency and how IoT technology can address these challenges. By integrating IoT devices such as sensors, actuators, and smart meters, buildings can be transformed into intelligent systems that dynamically adjust energy usage based on real-time data and insights. The project will explore the various components of IoT technology that can be implemented in commercial buildings, including energy monitoring systems, predictive maintenance tools, and automated control systems. By collecting and analyzing data on energy usage patterns, building conditions, and occupant behavior, IoT technology can optimize energy consumption, improve operational efficiency, and reduce carbon emissions. Furthermore, the research will investigate the potential barriers and limitations of implementing IoT technology in commercial buildings, such as cost considerations, interoperability issues, and data privacy concerns. By addressing these challenges and developing strategies for successful deployment, the project aims to provide practical recommendations for building owners, facility managers, and policymakers looking to enhance energy efficiency in commercial buildings. Overall, the research on "Enhancing Energy Efficiency in Commercial Buildings through IoT Technology" seeks to contribute to the advancement of sustainable practices in the built environment by harnessing the power of IoT technology to create smarter, more energy-efficient buildings. Through a comprehensive analysis of the benefits, challenges, and best practices associated with IoT implementation, the project aims to pave the way for a more sustainable future in the commercial building sector.