2021
DOI: 10.1016/j.jobe.2021.102835
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Estimation of the real-time infiltration rate using a low carbon dioxide concentration

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Cited by 10 publications
(12 citation statements)
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“…We turned on three fans vigorously before leaving to achieve uniform CO2 concentrations in the test room. Infiltration and ventilation rates were estimated only using the indoor CO2 concentrations data above 1000ppm as recommended in Park et al's study [18] to prevent underestimation of estimates due to uncertainty in measurement data under extremely low concentration conditions. Whether the estimate is constant and reliable can be judged by the linearity of the regression equation ( − ̅ ) during the time range for an estimate.…”
Section: Measurement Set-up and Calculationsmentioning
confidence: 99%
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“…We turned on three fans vigorously before leaving to achieve uniform CO2 concentrations in the test room. Infiltration and ventilation rates were estimated only using the indoor CO2 concentrations data above 1000ppm as recommended in Park et al's study [18] to prevent underestimation of estimates due to uncertainty in measurement data under extremely low concentration conditions. Whether the estimate is constant and reliable can be judged by the linearity of the regression equation ( − ̅ ) during the time range for an estimate.…”
Section: Measurement Set-up and Calculationsmentioning
confidence: 99%
“…Whether the estimate is constant and reliable can be judged by the linearity of the regression equation ( − ̅ ) during the time range for an estimate. The estimates that satisfy R 2 ≥ 0.99 of ( − ̅ ) were selected for analysis as recommended in Park et al's study [18].…”
Section: Measurement Set-up and Calculationsmentioning
confidence: 99%
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“…In previous studies, the methods for evaluating natural ventilation can be divided into CO 2 tracer gas concentration decay method [ [19] , [20] , [21] ] and Computational Fluid Dynamics (CFD) simulation [ [22] , [23] , [24] ] to evaluate the relationship between the opening area and the problem of the ACH. However, in recent years, the hardware of computer equipment has been improved, and big data has also achieved good results in various fields, such as the application of machine learning in building energy [ 25 ], agriculture [ 26 ], medicine [ 27 ] and others.…”
Section: Introductionmentioning
confidence: 99%