Code
01D04818
Duration
01 October 2018 → 30 September 2022
Funding
Regional and community funding: Special Research Fund
Promotor
Fellow
Research disciplines
-
Engineering and technology
- Electrical Power Engineering not elsewhere classified
- Energy generation, conversion and storage engineering not elsewehere classified
- Thermodynamics not elsewhere classified
Keywords
Building Energy Simulation (BES)
grey box
validation
uncertainty
optimization
Project description
The aim of this research is to increase reliability and reduce the performance gap of bottom-up engineering building stock models, by combining a large amount of recently available measured data with available data-analysis techniques. The existing theoretical calculation models will be
updated with these techniques and implemented in such a way that they automatically adapt to updates in available data.