Intelligent Energy Management in Residential Building

Residential building has high consumption of energy especially electrical energy. This motivates researchers to work on how to improve residential building energy efficiency. However, the improvement of energy efficiency in a building is difficult to be done for the whole building at a time. Some of the difficulty is the inefficient of energy management system in the building, but the biggest contribution to the deficiency is that there is no optimal algorithm which is suitable to the facilities in the building. An intelligent energy management system has been proposed in this paper to address this problem which include the integrated optimal control system consists of an occupancy sensor network and adaptive dynamic programming algorithm. To increase accuracy and avoid faults in available sensor technology, multiple sensors are being used in this project including passive infra-red sensors, Ultrasonic sensors and Carbon Dioxide concentration sensors have been installed to set up a hybrid occupancy detection sensor network. It is very critical to control and optimization for complex systems such as the system constituted by all electromechanical systems in a building. It learns from environment of a building and generates a series of optimal control strategies to preserve human comfort and improve energy efficiency in low cost