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Effective moisture penetration depth model for residential buildings: Sensitivity analysis and guidance on model inputs

机译：住宅建筑物的有效透湿深度模型：灵敏度分析和模型输入指南

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Moisture buffering of building materials has a significant impact on the building's indoor humidity, and building energy simulations need to model this buffering to accurately predict the humidity. Researchers requiring a simple moisture-buffering approach typically rely on the effective-capacitance model, which has been shown to be a poor predictor of actual indoor humidity. This paper describes an alternative two-layer effective moisture penetration depth (EMPD) model and its inputs. While this model has been used previously, there is a need to understand the sensitivity of this model to uncertain inputs. In this paper, we use the moisture-adsorbent materials exposed to the interior air: drywall, wood, and carpet. We use a global sensitivity analysis to determine which inputs are most influential and how the model's prediction capability degrades due to uncertainty in these inputs. We then compare the model's humidity prediction with measured data from five houses, which shows that this model, and a set of simple inputs, can give reasonable prediction of the indoor humidity. (C) 2018 Elsevier B.V. All rights reserved.
机译：建筑材料的水分缓冲会对建筑物的室内湿度产生重大影响，建筑能耗模拟需要对该缓冲进行建模以准确预测湿度。需要简单水分缓冲方法的研究人员通常依赖于有效电容模型，该模型已被证明对实际室内湿度的预测能力较差。本文介绍了另一种两层有效透湿深度（EMPD）模型及其输入。尽管以前已经使用过此模型，但有必要了解此模型对不确定输入的敏感性。在本文中，我们使用暴露在室内空气中的吸湿材料：干墙，木材和地毯。我们使用全局敏感性分析来确定哪些输入最具影响力，以及由于这些输入的不确定性而导致模型的预测能力下降。然后，我们将模型的湿度预测与来自五座房屋的测量数据进行比较，这表明该模型和一组简单的输入可以合理地预测室内湿度。 （C）2018 Elsevier B.V.保留所有权利。

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