2018
DOI: 10.1016/j.jclepro.2018.07.070
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Comprehensive assessment of sensitivity analysis methods for the identification of influential factors in building life cycle assessment

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Cited by 75 publications
(52 citation statements)
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“…Sensitivity analysis (SA) plays an important role in performance analysis such as building energy, which can specifically extract key factors that affect each building performance [41,47]. Regression methods are the most commonly used global SA method because they are easy to understand, and the minimum sample size required is relatively small [41].…”
Section: Sensitivity Analysismentioning
confidence: 99%
“…Sensitivity analysis (SA) plays an important role in performance analysis such as building energy, which can specifically extract key factors that affect each building performance [41,47]. Regression methods are the most commonly used global SA method because they are easy to understand, and the minimum sample size required is relatively small [41].…”
Section: Sensitivity Analysismentioning
confidence: 99%
“…LCAs are currently done after the project completion [7] which limits the usefulness of the study in terms of possible interventions to reduce the environmental impact. It is reported that practitioners are facing uncertainty and variations in results when using LCA [8].…”
Section: Climate Declaration and Lca Toolsmentioning
confidence: 99%
“…Hence, reliability issues in LCA calculations can be mitigated. Treating probabilistically the service lives has been already proposed by Aktas (Aktas and Bilec, 2012), Pannier (Pannier et al, 2018) and Hoxha (Hoxha et al, 2014). However, Aktas used only a limited number of materials, while the latter (Pannier and Hoxha) defined the probability density function, based on theoretical assumptions.…”
Section: Introductionmentioning
confidence: 99%