IEA EBC Annex 71 - Assessment of building energy efficiency using optimised in situ measurement methods
Project leader overall project: IEA: Staf Roels (KU Leuven Belgium)
Project leader: University of Innsbruck: Gabriel Rojas-Kopeinig
Project staff: Silvia Öttl
Project partner:
- Institute for Computer Aided Automation, TU Vienna
- AIT - Austrian Institute of Technology GmbH
Funding organisation: FFG
Duration: 01.11.2017 - 30.06.2021 + 6 months cost-neutral extension
Link to the task website: www.kuleuven.be/bwf/projects/annex71
Description:
The requirements for the building envelope and building technology are constantly increasing. There is a lack of easily reproducible measurement and analysis methods that can be used in practice to monitor the quality of implementation. The aim of this annex is to create the methodological basis for an on-site (in situ) assessment of the actual energy efficiency, whereby the step towards practical characterisation procedures (in the occupied state) is to be taken. The Austrian contribution examines possibilities for using "already" available data sources, such as building automation or smart meters, and methods for identifying the energy behaviour of buildings with a reduced database. Identification methods focussing on quality assurance for highly efficient buildings will be tested on a real object.
Subtasks:
The work in the international annex is divided into the following subtasks (ST):
- ST 1 - Collection of available input data
- ST 2 - Identification of the energy behaviour of buildings
- ST 3 - Identification of physical parameters of buildings
- ST 4 - Towards quality assurance
- ST 5 - Dissemination, collaboration in the excellence network
Subtask 1 is concerned with collecting the necessary input data. Here, the Austrian contribution examines the possibility of collecting and merging "already" available data sources, such as building automation, smart meters, but also public data sources (cyber data). Legal provisions and the issue of data protection are also examined.
In Subtask 2, methods for identifying forecast models from in-situ measurements are being further developed. These models will be used to predict the thermal and energy behaviour of buildings with the aim of improving applications such as model-based building control. Based on measurement data from accompanying research projects, the Austrian contribution analyses different modelling approaches (physical models vs. black box models).
Subtask 3 examines the extent to which the building models identified from measurement data can be used to characterise the quality of the building envelope or the proper operation of the building technology. To this end, flats from real buildings were measured in detail, first in an unoccupied state and then in an occupied state. With the help of this measurement data, various characterisation and identification methods are to be tested for their suitability in practice.
Subtask 4 examines to what extent and under what conditions these methods are suitable for the quality assurance of buildings in practice. Subtask 5 is dedicated to the dissemination of the results and the networking of stakeholders.

Figure 1: Principle diagram as a visualisation of one of the main objectives of Annex 71: to investigate the practical suitability of various methods for in-situ building characterisation. On the x-axis, a measure of the quality, scope and costs of the required measurement data; on the y-axis, the achievable accuracy of the respective method. These are shown here as exemplary areas in the diagram. Source: Staf Roels, KU Leuven
The following cross-subtask actions were also defined:
- Action "BES models" - Validation of building simulation tools
- Action "Data analysis models" - Statistical methods
- Action "Case studies" - Case studies
The Austrian participation processes and deepens the principles developed in the international framework and their application, especially with regard to quality assurance in the realisation of energy-efficient buildings.
Participating countries: Austria, Belgium (lead), Denmark, Estonia, France, Germany, Italy, Netherlands, Norway, Spain, United Kingdom
Expected results:
- Well-documented dynamic data sets of buildings and/or building groups to further develop and validate analysis and characterisation methods.
- Report on the reliability of input data for on-site energy efficiency assessment
- Report on dynamic data analysis methods at building level that can attribute the measured energy consumption to influences of building envelope, user behaviour and building technology, with case studies
- Report on data analysis methods applicable at neighbourhood level, with case studies
- Guideline on the applicability (possibilities and limitations) of these methods for the quality assurance of buildings
If you have any questions, please contact Gabriel Rojas (gabriel.rojas-kopeinig@uibk.ac.at).
See also: https://nachhaltigwirtschaften.at/de/iea/technologieprogramme/ebc/iea-ebc-annex-71.php