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Open Database for EPC Testing

As a product of our project, the crossCert partners are making available an open database of building data for selected buildings in the EU and UK countries participating in crossCert.  This information can be used by third parties for testing and benchmarking Energy Performance Certificates (EPC). Indeed, these buildings a large fraction of those that we have used for our own cross testing under the project.

The curated information includes:

  • Main data  and results, including a data inventory and an EPC results report in  neutral formats, and the original EPC certificate for the building.
  • Energy consumption data for the building (where available) that can be used for validation of models and of EPC results.
  • Building drawings that can be used as an aid for generating the EPC, or for creating static or dynamic energy consumption models.
  • For a few buildings, the data required to run a dynamic model of the building using IESVE (data kindly provided by crossCert partner HWU).

The files have been redacted to exclude confidential information.

Building Data on ZENODO

The building data is housed in Zenodo, the general-purpose open repository developed under the European OpenAIRE programme and operated by CERN. The dataset for each building is given a Digital Object Identifier (for instance: 10.5281/zenodo.10012350). This DOI can be used for referencing and for quick access. This building repository is already available for browsing and downloading. Access can be in either one of two ways.

  1. You can directly browse the crossCert Community in Zenodo. There you can not only browse and download the building database, but also our open publications from the project.
     
  2. As an alternative option, you can access the database from our crossCert Knowlewdge Exchange Centre (KxC). From the KxC, some simple search functions are available that allow you to quickly find out the buildings available in a given country, or in a building typology (such as an office building), or with a specific type of data (or instance, energy consumption).