Cognitive Modelling for the Prediction of energy-relevant Human Interaction with Buildings


Building occupants interact with various elements of a building in order to satisfy their diverse needs – such as thermal comfort, privacy, task implementation, etc. As a result they significantly influence the energy balance of a building. For example, operating windows has a major influence on heating demand; operating lighting has a major influence on electricity demand, etc. If energy saving is an aim, this human interaction with buildings must not be ignored.