Global sensitivity analysis for large scale building energy models: importance of building stock size and convergence

被引：0
|
作者：
Van Hove, M. Y. C. [1 ]
Delghust, M. [1 ]
Laverge, J. [1 ]
机构：
[1] Univ Ghent, Dept Architecture & Urban Planning, Ghent, Belgium
来源：
PROCEEDINGS OF BUILDING SIMULATION 2021: 17TH CONFERENCE OF IBPSA | 2022年 / 17卷
关键词：
PERFORMANCE;
D O I：
10.26868/25222708.2021.31113
中图分类号：
学科分类号：
摘要：
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.
引用
收藏
页码：2307 / 2314
页数：8
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