Model predictive control for energy management in buildings. Part 1: Zone Model Predictive Control
Résumé
In this paper, a distributed model predictive control to manage the actuation of the whole actuators (heating/cooling, ventilation, lighting, shading) in a multi-zone building to control comfort parameters (temperature, indoor CO2 level and indoor illuminance). The control process is performed in a distributed fashion and handle variable prices as well as resource limitation in a context of a multi energy source building. To this end, we firstly present a zonal non linear model predictive controller which is concerned by zonal decision making, we then provide a coordination scheme based on a primal decomposition to adresse the resource allocation problem that happens in the presence of global constraints on power consumption. We finally provide some simulation results attesting the fast convergence of control algorithm and the benefit of the controller