Teaching data analysis for building performance simulation – series: building simulation and calculation tools in teaching

Christina Johanna Hopfe*, Robert Scot McLeod, Matej Gustin, Eleonora Brembilla, Lori McElroy

*Corresponding author for this work

Research output: Contribution to specialist publicationArticle

1 Citation (Scopus)

Abstract

The Erasmus+ project, entitled ‘Digital Erasmus – a roadmap to using building performance simulation to achieve resilient design’ (DesRes), seeks to transform the learning experience of students in built environment disciplines using a continuous digital learning cycle. Three universities play a part in this project: Graz University of Technology (TU Graz), Delft University of Technology (TU Delft) and the University of Strathclyde (UoS), each developing and delivering a module to complete the learning experience in building simulation. This paper describes the aims and learning objectives associated with the workshops taught at TU Graz as part of the module dedicated to energy monitoring. These workshops tackle the complexity of working with large data sets, which commonly arise from energy monitoring research. In particular, the workshops aim to provide a practical understanding of how to identify, handle, reshape, clean up and evaluate important summary statistics from incomplete data sets. These are fundamental skills in building simulation where model validation and calibration are increasingly commonplace.

Original languageEnglish
Pages285-290
Number of pages6
Volume44
No.5
Specialist publicationBauphysik
DOIs
Publication statusPublished - 11 Oct 2022

Keywords

  • building information modeling BIM
  • building performance simulation BPS
  • energy monitoring
  • sustainable construction
  • large data sets
  • learning cycle
  • research and teaching

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