The robustness of black and grey-box models of thermal building behaviour against weather changes

Thea Hauge Broholt*, Michael Dahl Knudsen, Steffen Petersen

*Corresponding author for this work

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

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Abstract

Several studies have indicated a significant potential in using Model Predictive Control (MPC) of space heating for demand response purposes. The performance of the MPC depends on the predictive performance of the embedded control model. The studies often employ black- or grey-box control models; however, no previous studies consider whether a black- or grey-box model is more robust against weather changes. To assess this, the simulation-based study reported in this paper analysed how the predictive performance of black- and grey-box models trained with different input–output datasets from a certain period of a year is affected when subject to weather conditions in other periods of the year. The predictive performance of the grey-box models was slightly better compared to the black-box model. Furthermore, the grey-box models were slightly more robust to changes in weather data. Future studies should investigate whether the differences have practical significance in relation to MPC.

Original languageEnglish
Article number112460
JournalEnergy and Buildings
Volume275
Number of pages19
ISSN0378-7788
DOIs
Publication statusPublished - Nov 2022

Keywords

  • Building energy modelling
  • Low-order models
  • Model comparisons

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