Abstract

Multiple authors stated that, when performing fan pressurization test, Ordinary Least Square (OLS) method should not be used as a regression technique anymore. However, alternative methods require first to quantify components of uncertainty in pressure and air flow rate measurements. This work aims at quantifying the uncertainty in zero-flow pressure approximation, which is mainly due to short-term fluctuation of wind speed and direction. This has been done by statistically analysing the uncertainty indicator of 40 zero-flow pressure tests performed on 30 different units on eight different sites in Brussels. First, the analysis showed that this uncertainty could be reduced by increasing the period of measurement used to compute zero-flow pressure approximation. Second, it shows that the standard deviation of zero-flow pressure measurements was the variable with the most significant impact on the quality of the zero-flow pressure approximation. Third, it provides three different linear models to predict uncertainty as a function of different variables. This study experienced some limitations due to the available sample of tested units. These limitations lead to important further work: the validation of the model on another sample of buildings and its adaptation if needed. Further work should also focus on integrating these results on the uncertainty in envelope pressure measurements and on the uncertainty in airtightness estimation of the building.

摘要

多位作者表示，在进行风扇加压测试时，不应再将普通最小二乘 (OLS) 方法用作回归技术。然而，替代方法首先需要量化压力和空气流速测量中的不确定性分量。这项工作旨在量化零流量压力近似中的不确定性，这主要是由于风速和风向的短期波动。这是通过统计分析在布鲁塞尔八个不同地点的 30 个不同装置上进行的 40 次零流量压力测试的不确定性指标来完成的。首先，分析表明，可以通过增加用于计算零流量压力近似值的测量周期来降低这种不确定性。第二，它表明零流量压力测量的标准偏差是对零流量压力近似质量影响最大的变量。第三，它提供了三种不同的线性模型来预测作为不同变量的函数的不确定性。由于测试单元的可用样本，这项研究经历了一些限制。这些限制导致了重要的进一步工作：在另一个建筑物样本上验证模型并在需要时进行调整。进一步的工作还应侧重于将这些结果与围护结构压力测量的不确定性和建筑物气密性估计的不确定性相结合。它提供了三种不同的线性模型来预测作为不同变量的函数的不确定性。由于测试单元的可用样本，这项研究经历了一些限制。这些限制导致了重要的进一步工作：在另一个建筑物样本上验证模型并在需要时进行调整。进一步的工作还应侧重于将这些结果与围护结构压力测量的不确定性和建筑物气密性估计的不确定性相结合。它提供了三种不同的线性模型来预测作为不同变量的函数的不确定性。由于测试单元的可用样本，这项研究经历了一些限制。这些限制导致了重要的进一步工作：在另一个建筑物样本上验证模型并在需要时进行调整。进一步的工作还应侧重于将这些结果与围护结构压力测量的不确定性和建筑物气密性估计的不确定性相结合。