Global sensitivity analysis for large scale building energy models : importance of building stock size and convergence
- Author
- Matthias Van Hove (UGent) , Marc Delghust (UGent) and Jelle Laverge (UGent)
- Organization
- Project
- Abstract
- Though uncertainty and sensitivity analysis methods have been widely applied in the context of building energy modelling (BEM), only a limited amount of studies have investigated their performance at building stock scale. This paper aims at broadening the knowledge of global sensitivity analysis (GSA) application at building stock level by applying the Sobol’ SA at an internally developed building stock model. Further, the influence of the building stock size on the GSA model results will be addressed as well as the robustness of the GSA indices.
- Keywords
- building energy stock modelling, uncertainty analysis, sensitivity analysis, Sobol' method
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8719214
- MLA
- Van Hove, Matthias, et al. “Global Sensitivity Analysis for Large Scale Building Energy Models : Importance of Building Stock Size and Convergence.” Proceedings of Building Simulation 2021 : 17th Conference of IBPSA, edited by Dirk Saelens et al., vol. 17, International Building Performance Simulation Association (IBPSA), 2021, pp. 2307–14, doi:10.26868/25222708.2021.31113.
- APA
- Van Hove, M., Delghust, M., & Laverge, J. (2021). Global sensitivity analysis for large scale building energy models : importance of building stock size and convergence. In D. Saelens, J. Laverge, W. Boydens, & L. Helsen (Eds.), Proceedings of Building Simulation 2021 : 17th Conference of IBPSA (Vol. 17, pp. 2307–2314). https://doi.org/10.26868/25222708.2021.31113
- Chicago author-date
- Van Hove, Matthias, Marc Delghust, and Jelle Laverge. 2021. “Global Sensitivity Analysis for Large Scale Building Energy Models : Importance of Building Stock Size and Convergence.” In Proceedings of Building Simulation 2021 : 17th Conference of IBPSA, edited by Dirk Saelens, Jelle Laverge, Wim Boydens, and Lieve Helsen, 17:2307–14. International Building Performance Simulation Association (IBPSA). https://doi.org/10.26868/25222708.2021.31113.
- Chicago author-date (all authors)
- Van Hove, Matthias, Marc Delghust, and Jelle Laverge. 2021. “Global Sensitivity Analysis for Large Scale Building Energy Models : Importance of Building Stock Size and Convergence.” In Proceedings of Building Simulation 2021 : 17th Conference of IBPSA, ed by. Dirk Saelens, Jelle Laverge, Wim Boydens, and Lieve Helsen, 17:2307–2314. International Building Performance Simulation Association (IBPSA). doi:10.26868/25222708.2021.31113.
- Vancouver
- 1.Van Hove M, Delghust M, Laverge J. Global sensitivity analysis for large scale building energy models : importance of building stock size and convergence. In: Saelens D, Laverge J, Boydens W, Helsen L, editors. Proceedings of Building Simulation 2021 : 17th Conference of IBPSA. International Building Performance Simulation Association (IBPSA); 2021. p. 2307–14.
- IEEE
- [1]M. Van Hove, M. Delghust, and J. Laverge, “Global sensitivity analysis for large scale building energy models : importance of building stock size and convergence,” in Proceedings of Building Simulation 2021 : 17th Conference of IBPSA, Bruges, Belgium, 2021, vol. 17, pp. 2307–2314.
@inproceedings{8719214,
abstract = {{Though uncertainty and sensitivity analysis methods have been widely applied in the context of building energy modelling (BEM), only a limited amount of studies have investigated their performance at building stock scale. This paper aims at broadening the knowledge of global sensitivity analysis (GSA) application at building stock level by applying the Sobol’ SA at an internally developed building stock model. Further, the influence of the building stock size on the GSA model results will be addressed as well as the robustness of the GSA indices.}},
author = {{Van Hove, Matthias and Delghust, Marc and Laverge, Jelle}},
booktitle = {{Proceedings of Building Simulation 2021 : 17th Conference of IBPSA}},
editor = {{Saelens, Dirk and Laverge, Jelle and Boydens, Wim and Helsen, Lieve}},
isbn = {{9781775052029}},
issn = {{2522-2708}},
keywords = {{building energy stock modelling,uncertainty analysis,sensitivity analysis,Sobol' method}},
language = {{eng}},
location = {{Bruges, Belgium}},
pages = {{2307--2314}},
publisher = {{International Building Performance Simulation Association (IBPSA)}},
title = {{Global sensitivity analysis for large scale building energy models : importance of building stock size and convergence}},
url = {{http://doi.org/10.26868/25222708.2021.31113}},
volume = {{17}},
year = {{2021}},
}
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