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.