@inproceedings{35328,
  author = {Iain S Walker and Benedikt Kolsch},
  title = {Reducing Wind Sensitivity for Blower Door Testing},
  abstract = {<p>The fan pressurization method is a common practice in many countries for measuring the<br />air leakage of houses. The test results are sensitive to uncertainties in the measured<br />pressures and airflows. In particular, changing wind conditions during a test result in<br />some pressure stations having more or less uncertainty than others. Usually, it is<br />necessary to fit the measured data to the power-law equation. Using the ordinary least<br />square (OLS) fitting method, the pressure exponent and flow coefficient can be<br />determined, and the reported data at high pressures can be extrapolated to small pressures<br />where natural infiltration occurs. However, this fitting method neglects the existing of the<br />uncertainty of these measurements, which may lead to errors in the prediction of flows at<br />low pressures and therefore to unreliable input data for energy simulations. The weighted<br />line of organic correlation (WLOC) takes the uncertainty at each pressure station into<br />account and minimizes the fitting residuals for both pressure and flow. This paper shows<br />the results of a statistical analysis of an extensive data set of over 7.400 fan pressurization<br />test of six houses in 109 different leakage configurations. It was found that in over 90 %<br />of the analyzed cases, WLOC enables a more reliable prediction of pressure exponent and<br />flow coefficient at low pressure compared to OLS and appears to be a better fitting<br />technique.</p>},
  year = {2022},
  journal = {AIVC/ASHRAE IAQ 2020 Conference},
  month = {05/2022},
  language = {eng},
}