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Building simulation allows to understand on a very precise manner the way in which the energy flows are occurring within a building. This, apart from being necessary to evaluate the energy performance, offers the possibility of tackling several aspects of the building operation. In most buildings, occupants are capable of modifying operation parameters such as switching off the lights, or changing the set point temperatures. A poor selection of these operational parameters may lead to a larger energy consumption that one may expect. Although some buildings have amperimetric clamps and other sensors that can inform about energy consumption, it is practically impossible to measure all the energy flows that can be given by a model. Making use of this, a building has been modelled and calibrated, to get an informative model that was then used for evaluating the potential of energy behaviour interventions in demand reduction. The work has used more than 200 sensors to ensure that the results were close to those in reality, and the model has been seen to represent the demands accurately. The savings obtained have been seen to be substantial, especially for winter where a poor mental model of occupants is making them select set point temperatures that are too high, even affecting negatively their comfort.

On The Development of an Iot Infrastructure to Perform Behavioural Change Towards Low Energy Habits