
Indoor climate prediction performance of dynamic BES-models in dymola
- Author
- Matthias Van Hove (UGent) , Josué Borrajo Bastero (UGent) , Elisa Van Kenhove (UGent) , Marc Delghust (UGent) and Jelle Laverge (UGent)
- Organization
- Project
- Abstract
- How accurately can reduced-order dynamic building energy simulation models (with Dymola simulation software) simulate the indoor climate (i.e., indoor air temperature, relative humidity and CO2-concentration) in common inhabited residential buildings? In order to address this question, high resolution measurement data of a zero-energy case study dwelling were gathered through a measurement campaign. A dynamic multi-zone modelling approach has been applied to have room-level indoor climate results. Buoyancy driven airflow equations (validated with CONTAM) have been added to existing thermal heat balance components to allow for dynamic moisture and trace substance calculations as well as detailed air exchange and inter-zonal airflow calculations. The validation study reveals that dynamic multi-zone building energy simulation models (BES-models) can predict the indoor climate considerably well at room-level in inhabited dwellings (especially in the bedrooms).
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IAQ2021 Revised Full Paper MatthiasVanHove.pdf
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8746152
- MLA
- Van Hove, Matthias, et al. “Indoor Climate Prediction Performance of Dynamic BES-Models in Dymola.” 41st AIVC - ASHRAE IAQ Joint Conference, Proceedings, 2022.
- APA
- Van Hove, M., Borrajo Bastero, J., Van Kenhove, E., Delghust, M., & Laverge, J. (2022). Indoor climate prediction performance of dynamic BES-models in dymola. 41st AIVC - ASHRAE IAQ Joint Conference, Proceedings. Presented at the 41st AIVC - ASHRAE IAQ joint conference, Athens, Greece.
- Chicago author-date
- Van Hove, Matthias, Josué Borrajo Bastero, Elisa Van Kenhove, Marc Delghust, and Jelle Laverge. 2022. “Indoor Climate Prediction Performance of Dynamic BES-Models in Dymola.” In 41st AIVC - ASHRAE IAQ Joint Conference, Proceedings.
- Chicago author-date (all authors)
- Van Hove, Matthias, Josué Borrajo Bastero, Elisa Van Kenhove, Marc Delghust, and Jelle Laverge. 2022. “Indoor Climate Prediction Performance of Dynamic BES-Models in Dymola.” In 41st AIVC - ASHRAE IAQ Joint Conference, Proceedings.
- Vancouver
- 1.Van Hove M, Borrajo Bastero J, Van Kenhove E, Delghust M, Laverge J. Indoor climate prediction performance of dynamic BES-models in dymola. In: 41st AIVC - ASHRAE IAQ joint conference, Proceedings. 2022.
- IEEE
- [1]M. Van Hove, J. Borrajo Bastero, E. Van Kenhove, M. Delghust, and J. Laverge, “Indoor climate prediction performance of dynamic BES-models in dymola,” in 41st AIVC - ASHRAE IAQ joint conference, Proceedings, Athens, Greece, 2022.
@inproceedings{8746152, abstract = {{How accurately can reduced-order dynamic building energy simulation models (with Dymola simulation software) simulate the indoor climate (i.e., indoor air temperature, relative humidity and CO2-concentration) in common inhabited residential buildings? In order to address this question, high resolution measurement data of a zero-energy case study dwelling were gathered through a measurement campaign. A dynamic multi-zone modelling approach has been applied to have room-level indoor climate results. Buoyancy driven airflow equations (validated with CONTAM) have been added to existing thermal heat balance components to allow for dynamic moisture and trace substance calculations as well as detailed air exchange and inter-zonal airflow calculations. The validation study reveals that dynamic multi-zone building energy simulation models (BES-models) can predict the indoor climate considerably well at room-level in inhabited dwellings (especially in the bedrooms).}}, author = {{Van Hove, Matthias and Borrajo Bastero, Josué and Van Kenhove, Elisa and Delghust, Marc and Laverge, Jelle}}, booktitle = {{41st AIVC - ASHRAE IAQ joint conference, Proceedings}}, isbn = {{9781-955516013}}, language = {{eng}}, location = {{Athens, Greece}}, pages = {{8}}, title = {{Indoor climate prediction performance of dynamic BES-models in dymola}}, url = {{https://www.aivc.org/event/13-15-september-2021-conference-athens-41st-aivc-ashrae-iaq-joint-conference}}, year = {{2022}}, }