TY - JOUR
T1 - Estimation of infiltration rate using occupant-generated CO₂
T2 - Filtering process for uncertainty reduction
AU - Park, Sowoo
AU - Lee, Hochul
AU - Song, Doosam
N1 - Publisher Copyright:
© 2025
PY - 2025/8/15
Y1 - 2025/8/15
N2 - The occupant-generated CO₂ concentration decay method has garnered significant attention because it eliminates the need for repeated gas injections and enables air infiltration rate calculation using only indoor and outdoor CO₂ monitoring. This approach facilitates easy calculation of the infiltration rate based on the decay history of the indoor CO₂ concentration, which increases owing to occupants' respiration and decreases after their departure, using the mass balance equation. However, depending on the expertise of the researcher, the selection of an inappropriate decay period can lead to either overestimation or underestimation of the infiltration rate. This paper discusses three key considerations for ensuring reliable infiltration rate estimation using occupant-generated CO₂ and presents a filtering process. The increased measurement uncertainty in the later phase of CO₂ decay, when small changes in concentration affect the accuracy of infiltration rate estimates is discussed, and a filtering method to improve reliability is introduced. The overestimation caused by non-uniform CO₂ concentrations during the initial phase of decay is then addressed, suggesting a filter to correct this. Finally, the optimal point for minimizing measurement uncertainty in the final calculation is identified. The proposed process is evaluated using long-term field measurements and validated by comparing the calculated infiltration rates with those obtained using traditional tracer gas decay methods. This process allows daily variations in infiltration rates to be reliably estimated using only CO₂ monitoring, offering a valuable tool for improving indoor air quality and reducing energy consumption through integration with HVAC systems and energy simulations.
AB - The occupant-generated CO₂ concentration decay method has garnered significant attention because it eliminates the need for repeated gas injections and enables air infiltration rate calculation using only indoor and outdoor CO₂ monitoring. This approach facilitates easy calculation of the infiltration rate based on the decay history of the indoor CO₂ concentration, which increases owing to occupants' respiration and decreases after their departure, using the mass balance equation. However, depending on the expertise of the researcher, the selection of an inappropriate decay period can lead to either overestimation or underestimation of the infiltration rate. This paper discusses three key considerations for ensuring reliable infiltration rate estimation using occupant-generated CO₂ and presents a filtering process. The increased measurement uncertainty in the later phase of CO₂ decay, when small changes in concentration affect the accuracy of infiltration rate estimates is discussed, and a filtering method to improve reliability is introduced. The overestimation caused by non-uniform CO₂ concentrations during the initial phase of decay is then addressed, suggesting a filter to correct this. Finally, the optimal point for minimizing measurement uncertainty in the final calculation is identified. The proposed process is evaluated using long-term field measurements and validated by comparing the calculated infiltration rates with those obtained using traditional tracer gas decay methods. This process allows daily variations in infiltration rates to be reliably estimated using only CO₂ monitoring, offering a valuable tool for improving indoor air quality and reducing energy consumption through integration with HVAC systems and energy simulations.
KW - Decay method
KW - Estimation process
KW - Filtering method
KW - Infiltration rate
KW - Occupant-generated CO2
UR - https://www.scopus.com/pages/publications/105009237148
U2 - 10.1016/j.buildenv.2025.113316
DO - 10.1016/j.buildenv.2025.113316
M3 - Article
AN - SCOPUS:105009237148
SN - 0360-1323
VL - 282
JO - Building and Environment
JF - Building and Environment
M1 - 113316
ER -