BOTTOM-UP QUANTIFICATION OF THE FLEXIBILITY POTENTIAL OF BUILDINGS

The smart grid paradigm implies flexible demand and/or energy storage in order to cope with the stochastic behaviour of renewable energy sources. The building stock is often put forward as a potential supplier of flexibility services through demand side management (DSM) and distributed energy storage, partly as thermal energy. This paper presents a bottom-up approach for the quantification of this flexibility service in the form of cost functions. The cost functions are computed from the solution of optimal control problems with low-order models. The method is generic and can be applied to heating, ventilation and air-conditioning (HVAC) services, thermal energy storage (TES) and local electricity production.