Testing and evaluation of dynamic energy simulations for the development of an intelligent management of energy for the ADREAM smart building

Abstract

Having 6500 integrated sensors and a wide network of embedded systems, ADREAM can be categorized as one of the prototype smart buildings of France. As needs for intelligent management of energy on a city scale are growing, the ADREAM project provides a multidisciplinary platform of experimentation, developing solutions for efficient Energy Networks and Smart Grids. This paper provides the description of the project along with an overview of the various energy and control systems installed. Three different modeling techniques are presented, illustrating their strengths and limitations on simulating the thermal behavior of the building and the functioning of the different energy systems. A thermal model of the building was developed and calibrated for thermal analysis and energy consumption prediction, using the software Pleiades+Comfie. A "black box" model was developed for the simulation of energy system parameters and the exploration of efficient control strategies. A modeling technique using Dynamic Neural Networks was also developed for a more precise modeling of the various systems and their outputs. The conclusion addresses the utility of exploring and combining different types of models for optimizing the energy management of Smart Buildings.