OPTIMAL CONTROL AND SENSITIVITY ANALYSIS OF A BUILDING USING ADJOINT METHODS

Nils Artiges (1, 2, 3) , Alexandre Nassiopoulos (2) , Franck Vial (3) , Benoit Delinchant (1)

1 G2ELab - Laboratoire de Génie Electrique de Grenoble
2 IFSTTAR/COSYS/SII - Structure et Instrumentation Intégrée
3 CEA-LETI - Commissariat à l'énergie atomique et aux énergies alternatives - Laboratoire d'Electronique et de Technologie de l'Information

Optimal control techniques can actively maximize buildings efficiency by a smarter HVAC (Heating, Ventilation and AirConditioning) systems operation. All these techniques involve a model of the controlled system and an optimization process based on a cost function. The main difficulty with these methods is to find an accurate model of a system with the right data for training and on-line operation. Our work introduces an ad-joint based method aimed at efficiently computing an optimal predictive command law using a descriptive thermal model of a test case. Our approach has the advantage to enable fast analysis in order to identify the most influential inputs and parameters with respect to the final performance. In this paper, we present numerical results concerning a simple two-room test case.

Mots clés: Building Energy Model; Optimal Control; Sensitivity analysis; Adjoint equations

Domaines: Energie électrique; Automatique / Robotique; Optimisation et contrôle [math.OC]

Nils Artiges, Alexandre Nassiopoulos, Franck Vial, Benoit Delinchant. OPTIMAL CONTROL AND SENSITIVITY ANALYSIS OF A BUILDING USING ADJOINT METHODS. BSO2014 - Building Simulation and Optimisation Conference, IBPSA England, Jun 2014, London, United Kingdom. ⟨hal-01308427⟩