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

Authors :
Hopfe, Christina Johanna (author)
McLeod, Robert Scot (author)
Gustin, Matej (author)
Brembilla, E. (author)
McElroy, Lori (author)
Hopfe, Christina Johanna (author)
McLeod, Robert Scot (author)
Gustin, Matej (author)
Brembilla, E. (author)
McElroy, Lori (author)
Publication Year :
2022

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.<br />Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.<br />Building Physics

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1390839720
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.1002.bapi.202200027