Application of an anticipative energy management system to an office platform

This paper depicts a formulation of the global home electricity management problem, which consists in ad-justing the electric energy consumption to the cost and availability variations of the power supply. A proposed global multi-layer solving approach includes first the computation of consumption/production coordination plans and then the dynamic matching to the actual con-sumption/production data. This paper focuses on the anticipative problem. It aims at computing the opti-mal set-points for the Home Ventilation and Air Con-ditioning (HVAC) system of a platform over a given planning horizon (typically 24h) according to inhab-itant request and weather forecasts. These plans are computed using service models that include behav-ioral model of the thermal zone with its HVAC sys-tem, comfort and cost models. The computation of the optimal plans has been formulated as a Mixed Inte-ger Linear Programming problem. An application to a low consumption building, named PREDIS/MHI, is presented.