Method for Building's Thermal Flexibility in a Multi Energy Vector District
Résumé
This article describes thermal flexibility of building methods at a district level considering different level of details of building models, illustrated by a case study in a newly built district in Grenoble. Heat represents a huge part of final consumption (81% for the residential sector, 60% for the industry), so district heat networks represents a major action lever towards energy transition. In previous work, a mix thermal and electric architecture has been designed and described at district level. This architecture has been upgraded to simulate the thermal building flexibility and integrate model-predictive controllers. Therefore, this upgrade considers a tool for co-simulation between an optimization problem modeler and several simulation models (an electric model and a set of models for the thermal simulation). On the optimization side, we considered one to eight buildings to be flexible in the district, and assess the impact of its flexibility on the system. A refinement of their flexibility potential is one difficult key aspect of this study, considering a complex multi-vector MILP model. The calibration process has been developed in order to identify the optimization model of this flexible equivalent building. On the simulation side, the simulation models are divided into: the production, the heat network, the heat distribution at building level and the building.