From high-fidelity to data-driven building energy performance simulation (MetaSim)
Description
The project proposes a data-driven meta model to analyze building energy performance. Through the model reduction process, the complexity of building simulation is removed such that the method becomes accessible to practitioners in planning, thus supporting a more sustainable building design.
Key Data
Projectlead
Project team
Project partners
Innosuisse ; Innosuisse Wissens- und Technologie Transfer
Project status
completed, 03/2023 - 12/2023
Funding partner
ZHAW digital / Digital Futures Fund
Project budget
19'700 CHF
