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Uncertainty and sensitivity analysis applied to hygrothermal simulation of a brick building in a hot and humid climate

机译:不确定性和敏感性分析在湿热气候下对砖房的湿热模拟中的应用

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This paper presents a statistical approach for uncertainty and sensitivity analyses applied to 14 inputs whose 10 properties associated with brick material, using the four different EnergyPlus wall models. The variability of inputs has been extracted from several characterization works presented in IEA Annexes 14, 24 and 55, being coherent to the lack of knowledge in the early design stage. Besides the methodology, this paper presents the moisture effects on cooling energy demand and indoor air conditions, using a simple building geometry and the humid climate of Singapore. Results are presented in terms of uncertainty quantification, most uncertain parameters and sensitivity indices for all models, illustrating the impact of moisture and the importance of the need to well define moisture-dependent functions. The methodology is well adapted for use in complex interactive models with a low-cost simulation and can be used to reduce uncertainties in the design stage and promote reliability of retrofitting assessment.
机译:本文介绍了一种统计方法,用于不确定性和灵敏度分析,该方法使用了四个不同的EnergyPlus墙模型,将其应用于14个输入(其10个属性与砖材质有关)的不确定性和敏感性。输入的可变性是从IEA附件14、24和55中介绍的几项表征工作中提取的,这与早期设计阶段知识的缺乏相一致。除了方法论外,本文还利用简单的建筑几何形状和新加坡的潮湿气候,介绍了水分对制冷能源需求和室内空气条件的影响。结果以不确定性量化,大多数不确定性参数和所有模型的灵敏度指数的形式给出,说明了水分的影响以及明确定义与水分相关的功能的重要性。该方法非常适合用于具有低成本仿真的复杂交互模型中,并且可用于减少设计阶段的不确定性并提高改造评估的可靠性。

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