التفاصيل البيبلوغرافية
| العنوان: |
Quality assurance for building-stock energy models: a performance comparison of eleven uncertainty and sensitivity analysis methods. |
| المؤلفون: |
Van Hove, M. Y. C., Delghust, M., Laverge, J. |
| المصدر: |
Journal of Building Performance Simulation; Mar2024, Vol. 17 Issue 2, p149-175, 27p |
| مصطلحات موضوعية: |
SENSITIVITY analysis, QUALITY assurance, PERFORMANCE theory |
| مستخلص: |
Building-Stock Energy Models (BSEMs) have grown in popularity, implementation, scale and complexity. Yet, BSEM quality assurance processes have lagged behind. This article proposes a scalable methodology to apply Uncertainty (UA) and Sensitivity Analysis (SA) to BSEMs and studies the performance of eleven common UA-SA methods (OAT, SRC, SRRC, FFD, Morris, Sobol', eFAST, FAST-RBD, DMIM, PAWN, DGSM) for three UA-SA targets: screening, ranking and indices. Applying UA and SA to BSEMs requires a two-step input parameter sampling that samples 'across stocks' and 'within stocks'. To make efficient use of computational resources, practitioners should (i) distinguish between three UA-SA targets and (ii) choose a method based on the aimed UA-SA target. The computational cost varies according to the UA-SA target and method; (i) for screening: OAT, SRC, SRRC, FFD and Morris; (ii) for ranking: SRC, SRRC and Morris and (iii) for indices: Sobol' is the most efficient, among the tested UA-SA methods. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
Complementary Index |
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