Project Abstract

Abstract
The growing concern for environmental sustainability and energy efficiency has prompted the development of innovative solutions to optimize energy usage in buildings. This research project focuses on the development of a Smart Energy Management System (SEMS) for sustainable buildings, aiming to enhance energy efficiency, reduce energy consumption, and promote environmental sustainability. The SEMS integrates advanced technologies such as Internet of Things (IoT), artificial intelligence, and data analytics to monitor, control, and optimize energy usage in real-time. The research begins with a comprehensive introduction that outlines the background of the study, problem statement, objectives, limitations, scope, significance, structure of the research, and definition of terms. The literature review in Chapter Two explores ten key areas related to smart energy management systems, energy efficiency in buildings, IoT applications, data analytics, and sustainable development. Chapter Three details the research methodology, including the research design, data collection methods, data analysis techniques, and tools used for developing the SEMS. The methodology also encompasses the selection of case studies and pilot projects to validate the effectiveness of the system in real-world settings. Additionally, the chapter discusses ethical considerations and limitations encountered during the research process. In Chapter Four, the discussion of findings presents a detailed analysis of the results obtained from implementing the SEMS in different building environments. The chapter covers seven key findings related to energy savings, system performance, user feedback, operational challenges, and scalability. The discussion also highlights the implications of the findings for energy management practices in sustainable buildings. Finally, Chapter Five provides a comprehensive conclusion and summary of the research project. The conclusion reflects on the key findings, discusses the contributions of the study to the field of smart energy management systems, and offers recommendations for future research and practical implementation. The summary encapsulates the main points of the research, emphasizing the significance of developing SEMS for achieving energy efficiency and sustainability in buildings. Overall, this research project contributes to the advancement of smart energy management systems for sustainable buildings, offering insights into the integration of IoT technologies, data analytics, and artificial intelligence to optimize energy usage. The findings of this study can guide policymakers, building managers, and stakeholders in implementing effective energy management strategies to enhance sustainability and reduce environmental impact.

Project Overview