EDEN - Developement of a structured data and preparation documentation with a minimized error-proneness for energy performance cerificates.
Starting point / motivation
The present research proposal suggests a potential solution to the problem of general non-reproducibility of the results of building energy certificates. Since 2007 Austria has implemented the EU-guideline for energy certification of buildings, which demands issued energy certificates for buildings yet to be erected, buildings that undergo major retrofit and buildings and building units (e.g. residential units) that enter the real estate market.
Due to a lack of legal consequences, the energy certification requirement was not taken seriously in the general public, leaving buildings without an energy certificate. Today it can be observed that the intended comparability of buildings via the energy certificate is not guaranteed as the regulations of how an energy certificate should be compiled lack comprehensive instructions. This leads to a wide range of interpretations of what can be considered as correct and incorrect.
Contents and goals
This issue needs to be taken seriously, as the required thermal quality of buildings in the process of gaining a planning permission needs to be proven via the energy certificate. Moreover, even the grant of subsidies for new buildings and thermal retrofits depends on the results of energy certificates.
The intention of this research is to develop a standardized and accurate documentation of the used input data for energy certificates. As the IT-tools for energy certification are validated, the source of result divergences clearly can be located in the deviation of input data. Standardized documentation of such input data would guarantee reproducibility of results and therefore legal certainty, while minimizing error-proneness and manipulation possibilities.
The development of generic and standardized input data documentation is to be reached via the following stepwise process:
Collection of national and international guidelines, standards, laws and recommendations, as well as best and worst practice examples
Definition of a representative sample of buildings (covering a wide scope of different situations)
Compilation of energy certificates for the representative building sample under consideration of uncertainties in the input data.
Use of established (statistical) scientific methods such as error-estimation and sensitivity analysis of the results.
Deduction of an input data documentation that generically can be applied for any user-defined building.
To allow a quality management for the compilation of energy certificates through rated input data.
Transparency through a better reproducibility of the calculation results.
Arch. DI Bernhard Sommer, Department of Energy Design - University of Applied Arts Vienna
Project or cooperation partners
Department of building physics and building ecology - TU Vienna
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