HUB4LCA: German Building and District Archetypes

Zenodo (CERN European Organization for Nuclear Research)

Abstract

The included tabular files contain the information for (i) building and (ii) district archetypes as well as (iii) municipality-specific data synthesised in the scope of the HUB4LCA research project. Building and district archetypes comprise the aggregated input data, and the statistically processed output data, from a parametric simulation run in the district-scale building LCA tool Teco. A limited amount of raw input data of the data synthesis is subject to contractual limitations. It can therefore not be published in its original form. The scorecards summarise the building and district archetype KPIs, and include some additional comparative statistics.

Authors 6

1. Maximilian Schildt Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University

2. Johannes Linus Cuypers Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University

3. Pratyush Heblikar
4. Sushruth Shivaraju
5. Christoph van Treeck Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University

6. Jérôme Frisch Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University