Predictive Control and Optimal Design of Thermal Storage Systems for Multi-energy District Boilers

Mouchira Labidi (1, 2) , Julien Eynard (2) , Olivier Faugeroux (2) , Stéphane Grieu (2)

1 Cylergie - Cofely GDF-SUEZ
2 PROMES - Procédés, Matériaux et Energie Solaire

As part of the second phase of the OptiEnR research project, the present work deals with improving the operation of a multi-energy district boiler by adding to the plant an optimally designed and controlled thermal storage tank. Previous study focused on both a design approach, based on a parametric analysis, and a non-predictive control strategy. The aim of the present work was to develop a Model Predictive Controller (MPC) to improve the management of the tank in real time. The proposed controller generates optimal command sequences dealing with the amount of thermal energy to be stored or released. As a result, both the fossil energy consumption and CO 2 emissions are significantly reduced while the economic gain is increased.

Mots clés: management strategy; model predictive control; Multi-energy district boiler; thermal storage tank; optimal design

Domaines: Automatique / Robotique

Mouchira Labidi, Julien Eynard, Olivier Faugeroux, Stéphane Grieu. Predictive Control and Optimal Design of Thermal Storage Systems for Multi-energy District Boilers. 19th International Federation of Automatic Control World Congress, Aug 2014, Le Cap, South Africa. pp.10305-10310, ⟨10.3182/20140824-6-ZA-1003.01589⟩. ⟨hal-01118452⟩