Control relevant identification and predictive control of a building

Even though a modern control concepts have emerged in numerous parts of the world, a building automation is still a field where the position of the classical control is almost exclusive. The main reason is, that for the synthesis of an advanced controller, a decent model, “model for control”, is needed. Climate changes, diminishing world supplies of the “traditional” fuels, as well as economical aspects are probably the most driving factors of current effort to save the energy. As the buildings account for about 40% of global final energy use, the efficient building climate control can significantly contribute to the saving effort. Predictive building automation can be used to operate buildings in energy and cost effective manner instead of conventional room automation with minimum retrofitting requirements. In this paper a multi-step ahead error minimization approach to a building modeling is presented and influence of the solar radiation on the quality of the constructed model is examined. Moreover, the concept of the predictive control applied to a building is shown.