Michaël Salvador, Stéphane Grieu
Year:
2011
Bibliographic info:
Building Simulation, 2011, Sydney, Australia

People spend around 90% of their time in buildings while about 40% of primary energy needs are due to buildings. That is why the present paper deals with a method allowing identifying and assessing the energy impact of a building on the electricity grid. Thanks to the wide range of building models we developed and fuzzy logic contribution, the results we obtained in simulation validate the proposed impact indicator. They highlighted the pertinence of such a tool for optimizing the design of production and storage systems as well as minimizing the amount of energy exchanged by buildings and the grid.