Project Abstract

Abstract
The increasing demand for energy efficiency and sustainability in buildings has led to the development of Smart Building Energy Management Systems (SBEMS) that leverage Internet of Things (IoT) technology. This research explores the design, implementation, and evaluation of an SBEMS using IoT technology to optimize energy consumption in buildings. The study aims to address the pressing need for more intelligent and automated solutions to monitor, control, and optimize energy usage in buildings, thereby reducing energy costs and environmental impact. The research begins with an introduction that sets the context for the study, providing background information on the importance of energy management in buildings and the potential benefits of IoT technology in this domain. The problem statement highlights the challenges faced in traditional building energy management systems and the opportunities presented by IoT technology. The objectives of the study are outlined, focusing on the development of an efficient SBEMS, while also considering the limitations and scope of the research. A comprehensive literature review is conducted in Chapter Two, covering various topics related to smart building energy management, IoT technology, energy efficiency strategies, and existing systems and solutions in the field. The review synthesizes existing knowledge and identifies gaps in the literature that the current research aims to address. Chapter Three details the research methodology, outlining the approach, tools, and techniques used to design, implement, and evaluate the SBEMS. The chapter also discusses data collection methods, data analysis techniques, and evaluation criteria. Chapter Four presents the findings of the research, highlighting the performance and effectiveness of the SBEMS in optimizing energy consumption in buildings. The chapter includes discussions on energy savings achieved, system reliability, user feedback, and potential areas for improvement. The findings are analyzed in the context of the research objectives and existing literature, providing valuable insights into the practical implications of using IoT technology for building energy management. Finally, Chapter Five presents the conclusion and summary of the research, highlighting key findings, contributions, and recommendations for future work. The study demonstrates the feasibility and effectiveness of using IoT technology in SBEMS to improve energy efficiency in buildings. The research contributes to the growing body of knowledge on smart building energy management and provides a valuable reference for researchers, practitioners, and policymakers interested in sustainable building practices and energy conservation. Overall, this research contributes to advancing the field of smart building energy management by demonstrating the potential of IoT technology to transform energy management practices in buildings, leading to significant energy savings, cost reductions, and environmental benefits.

Project Overview

The project topic "Smart Building Energy Management System using IoT Technology" focuses on the integration of Internet of Things (IoT) technology to optimize energy management in buildings. In recent years, there has been a growing emphasis on sustainable practices and energy efficiency in the construction and real estate sectors. Buildings are significant consumers of energy, accounting for a large portion of global energy consumption and carbon emissions. As a result, there is a pressing need to develop smart solutions that can effectively monitor and control energy usage in buildings to reduce waste and environmental impact. By leveraging IoT technology, which enables devices to communicate and exchange data over the internet, smart building energy management systems can collect real-time information on energy consumption, indoor environmental conditions, and occupancy patterns. This data can then be analyzed and used to automate energy-saving measures such as adjusting lighting, heating, and cooling systems according to occupancy levels and optimizing energy usage during peak and off-peak hours. Additionally, IoT sensors can detect equipment malfunctions or inefficiencies, allowing for proactive maintenance and reducing energy waste. The research will delve into the various components of a smart building energy management system, including IoT sensors, data analytics software, and control algorithms. The study will explore how these components work together to create an intelligent infrastructure that improves energy efficiency, reduces operational costs, and enhances occupant comfort. Furthermore, the project will investigate the potential challenges and limitations of implementing IoT-based energy management systems in buildings, such as data privacy concerns, cybersecurity risks, and interoperability issues between different devices and platforms. The significance of this research lies in its potential to revolutionize the way buildings are designed, constructed, and operated, leading to substantial energy savings, lower utility bills, and a reduced environmental footprint. By harnessing the power of IoT technology, building owners, facility managers, and occupants can benefit from a more sustainable and comfortable built environment. Ultimately, the goal of this project is to contribute to the advancement of smart building technologies and promote a greener and more energy-efficient future for the built environment.