Identification of the important parameters in thermal building simulation models
Identification of the important parameters in thermal building simulation models
复制标题
热工建筑模拟模型中重要参数的识别
DOI：
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发表时间：
1997
期刊：
影响因子：
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通讯作者：
M. D. Wit
中科院分区：
文献类型：
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作者：
M. D. Wit
将序贯分叉技术和阶乘采样法两种参数筛选技术应用于建筑热模型，用于预测建筑设计阶段的热舒适性能。两种筛选方法的联合应用揭示了总共81个模型参数中的12个重要模型参数，解释了模型输出中94%的可变性。这些重要参数是在246个模型评价的基础上用析因抽样方法识别的，而序列分叉只需要52个评价。然而，析因抽样方案不仅能有效地识别重要参数，而且能识别参数主效应的方向和交互效应的严重程度。这一补充信息表明，孤立地应用顺序分歧法是不可靠的，因为无法保证满足固有的假设。只有在正确认识这一符号的基础上……
Two parameter screening techniques, a sequential bifurcation technique and a factorial sampling method, have been applied to a building thermal model, used to predict thermal comfort performance of a building in its design stage. Combined application of both screening methods revealed a set of 12 important model parameters out of a total of 81, explaining 94% of the variability in the model output. These important parameters were identified by the factorial sampling method on the basis of 246 model evaluations, while sequential bifurcation only needed 52 evaluations. However, the factorial sampling scheme was effective in identifying of not only the important parameters, but also the directions of parameter main effects and the severity of interaction effects. This additional information showed that isolated application of the sequential bifurcation method would have been unreliable, as satisfaction of the inherent assumptions could not be guaranteed. Only on the basis of proper knowledge of the sign of t...