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
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
相关论文
共 50 条
  • [31] AN INTERACTIVE VISUALIZATION TOOL FOR LARGE-SCALE BUILDING STOCK MODELING
    Wilson, Eric
    Merket, Noel
    2018 BUILDING PERFORMANCE ANALYSIS CONFERENCE AND SIMBUILD, 2018, : 338 - 345
  • [32] Large potentials for energy saving and greenhouse gas emission reductions from large-scale deployment of zero emission building technologies in a national building stock
    Sandberg, Nina Holck
    Naess, Jan Sandstad
    Brattebo, Helge
    Andresen, Inger
    Gustavsen, Arild
    ENERGY POLICY, 2021, 152
  • [33] Uncertainty and Sensitivity Analysis for Building Energy Rating
    Corrado, Vincenzo
    Mechri, Houcem Eddine
    JOURNAL OF BUILDING PHYSICS, 2009, 33 (02) : 125 - 156
  • [34] Estimation and sensitivity analysis of building energy demand
    Gruber, Jorn K.
    Prodanovic, Milan
    Alonso, Raul
    PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-ENGINEERING SUSTAINABILITY, 2017, 170 (02) : 81 - 92
  • [35] Techno-economic potential of large-scale energy retrofit in the Swiss residential building stock
    Streicher, Kai Nino
    Parra, David
    Buerer, Meinrad C.
    Patel, Martin K.
    CISBAT 2017 INTERNATIONAL CONFERENCE FUTURE BUILDINGS & DISTRICTS - ENERGY EFFICIENCY FROM NANO TO URBAN SCALE, 2017, 122 : 121 - 126
  • [36] A review of sensitivity analysis methods in building energy analysis
    Tian, Wei
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2013, 20 : 411 - 419
  • [37] An open source analysis framework for large-scale building energy modeling
    Ball, Brian L.
    Long, Nicholas
    Fleming, Katherine
    Balbach, Chris
    Lopez, Phylroy
    JOURNAL OF BUILDING PERFORMANCE SIMULATION, 2020, 13 (05) : 487 - 500
  • [38] Energy refurbishment of the Italian residential building stock: energy and cost analysis through the application of the building typology
    Ballarini, Ilaria
    Corrado, Vincenzo
    Madonna, Francesco
    Paduos, Simona
    Ravasio, Franco
    ENERGY POLICY, 2017, 105 : 148 - 160
  • [39] Whole building energy simulation and energy saving potential analysis of a large public building
    Pan, Yiqun
    Zuo, Mingming
    Wu, Gang
    JOURNAL OF BUILDING PERFORMANCE SIMULATION, 2011, 4 (01) : 37 - 47
  • [40] Bayesian calibration of building energy models with large datasets
    Chong, Adrian
    Lam, Khee Poh
    Pozzi, Matteo
    Yang, Junjing
    ENERGY AND BUILDINGS, 2017, 154 : 343 - 355