Design and Implementation of an IoT-based Smart Energy Management System for Residential Buildings

Thesis Abstract

Abstract
The rapid advancement of technology in recent years has paved the way for the development of innovative solutions aimed at enhancing energy efficiency and sustainability. In this context, the Internet of Things (IoT) has emerged as a promising technology that can revolutionize the way energy is managed in residential buildings. This thesis presents the design and implementation of an IoT-based Smart Energy Management System (SEMS) tailored for residential buildings. The primary objective of this research is to develop a system that can intelligently monitor, control, and optimize the energy consumption of various devices and appliances within a residential setting. The SEMS integrates IoT sensors, actuators, and communication protocols to enable real-time data collection, analysis, and decision-making. Through the deployment of smart devices and sensors, the system can gather detailed information on energy usage patterns, appliance performance, and environmental conditions. The literature review section provides a comprehensive analysis of existing research and technologies related to smart energy management systems, IoT applications in residential settings, and energy efficiency strategies. The review highlights the importance of leveraging IoT technologies to enhance energy efficiency, reduce electricity costs, and minimize environmental impact. The research methodology chapter outlines the approach taken to design, implement, and evaluate the IoT-based SEMS. It covers aspects such as system architecture design, sensor selection, communication protocols, data analysis techniques, and system testing procedures. The methodology emphasizes the importance of user-centric design, scalability, and interoperability in developing a practical and effective energy management solution. The discussion of findings chapter presents the results of the system implementation and evaluation. It includes detailed analyses of energy consumption patterns, device performance metrics, user feedback, and system efficiency. The findings demonstrate the effectiveness of the SEMS in optimizing energy usage, identifying energy wastage, and providing actionable insights for users to make informed decisions about their energy consumption habits. In conclusion, this thesis contributes to the field of smart energy management by presenting a novel IoT-based solution tailored for residential buildings. The SEMS offers a user-friendly interface, real-time monitoring capabilities, and energy-saving recommendations that can help homeowners reduce their energy bills and carbon footprint. The research findings highlight the potential of IoT technologies to transform traditional energy management practices and promote sustainable living in residential environments.