because of both the global energy crisis and the necessary improvement of energy efficiency in buildings, one of the largest sectors of energy consumption and greenhouse gases emissions, a strategy allowing managing energy resources is proposed. Its aim is reducing energy consumption and promoting the use of renewable energy, while ensuring thermal comfort, when heating "multi-energy" buildings, thanks to indoor temperature control schemes. Three schemes (based on a commonly-used PID controller and on the combination of PID and model predictive or fuzzy controllers) were tested in simulation, using dynamic models describing the thermal behavior of a building, and fully met the management strategy's requirements, especially reducing the consumption of fossil energy. Three criteria describing the way energy is used and controlled in real-time were defined with the aim of evaluating the control schemes performance and adapting the strategy to the specific use of a building. The PID-MPC provided the best results while the PID-FLC proved to be a very good compromise, thanks to both the flexibility and the adaptability offered by fuzzy logic, between the easy-todevelop but not-very-efficient PID and the efficient but hard-to-develop PID-MPC.

International audienceThis paper presents a first attempt at obtaining a reusable and scalable model of buildings. To this end, a university building is first modeled using EnergyPlus, an energy simulation software. The EnergyPlus model is then validated using measured temperatures in the university building. In a second part, the EnergyPlus model is used to generate informative input/output data to perform system identification techniques: a black-box model of the building is obtained. Using simulation experiments, it is showed that the structure of the black-box model can be used to model the building at different scales: a thermal zone, a floor or the whole building

In this paper the modeling of buildings thermal behavior is studied. The main goal is to develop a modeling procedure that can be used at different scales (a thermal zone, a floor or a whole building) and on different buildings. The scalability of the chosen black-box model structure is first assessed; simulation experiments are then conducted in order to test if the modeling procedure is reusable. As these tests are hardly feasible in practice, a real university building is first modeled using an energy simulation software. This model is then used to validate the proposed approach.

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