Thesis Abstract

Abstract
The advancement of technology has led to the development of smart buildings that integrate various technologies to enhance energy efficiency and improve overall building management. One crucial aspect of smart buildings is the implementation of an intelligent power management system to optimize energy consumption and reduce costs. This thesis presents the design and implementation of an intelligent power management system for smart buildings, aiming to enhance energy efficiency and sustainability. The research begins with an introduction to the concept of smart buildings and the need for intelligent power management systems. A comprehensive literature review is conducted to explore existing technologies, standards, and best practices in power management for smart buildings. The study identifies the challenges faced in current power management systems and highlights the potential benefits of implementing an intelligent system. The research methodology section outlines the approach taken to design and implement the intelligent power management system. It details the selection of components, sensors, and communication protocols, as well as the development of algorithms for energy optimization and control. The system architecture and integration with existing building management systems are also discussed. Chapter four presents the findings from the implementation of the intelligent power management system in a real-world smart building environment. The performance of the system in optimizing energy consumption, managing peak loads, and improving overall efficiency is evaluated and analyzed. The results demonstrate the effectiveness of the system in reducing energy costs and enhancing sustainability. Finally, the conclusion and summary chapter provide an overview of the key findings and contributions of the research. The significance of the intelligent power management system in smart buildings is discussed, along with potential areas for future research and improvement. Overall, this thesis contributes to the advancement of energy-efficient smart buildings through the design and implementation of an intelligent power management system. Keywords smart buildings, intelligent power management system, energy efficiency, sustainability, building automation, IoT.

Thesis Overview

The project titled "Design and Implementation of an Intelligent Power Management System for Smart Buildings" focuses on the development of a sophisticated system that optimizes the utilization of electrical power in smart buildings. Smart buildings are equipped with various sensors and devices that generate a vast amount of data related to energy consumption, occupancy patterns, and environmental conditions. Managing this data efficiently and ensuring optimal use of electricity is crucial for enhancing energy efficiency and reducing operational costs in smart buildings. The main objective of this research is to design and implement an intelligent power management system that integrates advanced technologies such as Internet of Things (IoT), artificial intelligence, and data analytics to monitor, control, and optimize the energy usage within smart buildings. The system will leverage real-time data from sensors and smart devices to make intelligent decisions on power distribution, lighting control, HVAC systems, and other electrical loads to ensure optimal energy efficiency while maintaining occupant comfort and safety. This research will begin with a comprehensive review of existing literature on smart buildings, power management systems, IoT technologies, and energy efficiency strategies. The methodology section will outline the steps involved in designing, developing, and implementing the intelligent power management system, including system architecture, sensor deployment, data collection methods, and algorithm design. The findings from this research will be discussed in detail in Chapter Four, highlighting the performance of the developed power management system in terms of energy savings, operational efficiency, and user satisfaction. The discussion will cover various aspects such as system reliability, scalability, adaptability to different building types, and potential challenges encountered during implementation. In conclusion, this project aims to contribute to the advancement of smart building technologies by providing a reliable and efficient solution for managing electrical power consumption. By integrating intelligent algorithms and IoT capabilities, the proposed system has the potential to revolutionize the way energy is used and managed in modern buildings, leading to significant cost savings, environmental benefits, and enhanced overall building performance.