Bottom-up engineering building stock models: closing the performance gap using grey-box modelling

01 October 2018 → 30 September 2022
Regional and community funding: Special Research Fund
Research disciplines
  • Engineering and technology
    • Power electronics not elsewhere classified
    • Energy generation, conversion and storage engineering not elsewehere classified
    • Thermodynamics not elsewhere classified
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.