Smart home energy optimization : efficient resource management

Abstract

This thesis explores the optimization of energy resources in smart homes which focuses on the production and consumption of the energy system. The research investigates the usage of solar panels and battery storage to generate and store renewable energy and how to integrate grid power to balance the instability of solar energy. From the consumption side, my thesis analysis various household appliances in detail, including heaters, lights, air conditioners, and other electrical devices which aim to optimize their energy usage. The thesis presents a dynamic energy optimization model that collects electricity price dynamically, integrates solar energy production, storage systems, and grid power to minimize reliance on the grid and optimize overall energy consumption. It highlights the potential of solar panels and batteries to provide a sustainable and efficient energy supplement and ensure household appliances to operate in an energy-efficient manner. The study also introduces an optimization MILP (Mixed-Integer Linear Programming) algorithm to manage real-time fluctuations in energy production and consumption, offering practical solutions for the effective integration of renewable energy in residential settings. Energy savings of approximately 66% under the same conditions. This research contributes to the ongoing efforts to create energy-autonomous smart homes, with implications for future energy management technologies.