Subtopic Technologies for energy efficiency in the building sector
It is known that large energy saving potentials exist in the building sector. Here, the difficulty lies in the large variety of influencing factors, individual contributions and their interactions, ranging from novel materials and technical systems to urban and construction planning, refurbishment and urban reconstruction to socio-economic factors. IT-consistent modelling, optimisation and assessment (quantification, monitoring) of the measures are still lacking. Here, the subtopic is intended to close the gap.
From the technical point of view, large energy saving potentials lie in the highly efficient thermal insulation of buildings and efficient active and passive systems for the supply of heating, cooling, illumination and ventilation. Further optimisation of systems designed for certain uses requires a holistic approach to better identify mutual interactions of the components, minimise local and global environmental loads and keep the costs acceptable.
Research in this field will concentrate on two pillars linked by a joint, semantically attributed building model with interfaces to the building environment.
The first pillar consists in the validation and application of an exergo-ecological-economic analysis in the planning and operation of buildings based on exergy flows and allocated environmental loads as well as costs. Environmental loads are derived from life cycle analyses of the components involved. The location and environment of the buildings will also be taken into account. It will be focused on the interaction of the components of the technical equipment with the building proper. For this purpose, a thermodynamic model of the building will be generated.
The second pillar studies novel applications of geo-referenced quantitative thermography to examine the real energy situation after the building phase and during later operation compared to planning. With the help of mobile platforms, thermal images (facades and heat stores) will be recorded repeatedly and directly allocated to the respective components in the 3D city model. For this purpose, material parameters, atmospheric and meteorological conditions and earlier measurements/estimations will be used. Based on the thermodynamic building model and a radiometric sensor model of the thermal image, e.g. zone and surface temperatures, heat transfer coefficients and their variations will be estimated.
