TY - GEN
T1 - Teaching data analysis for building performance simulation – series
T2 - building simulation and calculation tools in teaching
AU - Hopfe, Christina Johanna
AU - McLeod, Robert Scot
AU - Gustin, Matej
AU - Brembilla, Eleonora
AU - McElroy, Lori
PY - 2022/10/11
Y1 - 2022/10/11
N2 - 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.
AB - 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.
KW - building information modeling BIM
KW - building performance simulation BPS
KW - energy monitoring
KW - sustainable construction
KW - large data sets
KW - learning cycle
KW - research and teaching
UR - http://www.scopus.com/inward/record.url?scp=85139522358&partnerID=8YFLogxK
U2 - 10.1002/bapi.202200027
DO - 10.1002/bapi.202200027
M3 - Article
AN - SCOPUS:85139522358
SN - 0171-5445
VL - 44
SP - 285
EP - 290
JO - Bauphysik
JF - Bauphysik
ER -