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Estimation of a room ventilation air change rate using a stochastic grey-box modelling approach

Author
Macarulla, M.; Casals, M.; Forcada, N.; Gangolells, M.; Giretti, A.
Type of activity
Journal article
Journal
Measurement
Date of publication
2018-08
Volume
124
First page
539
Last page
548
DOI
https://doi.org/10.1016/j.measurement.2018.04.029 Open in new window
Repository
http://hdl.handle.net/2117/116738 Open in new window
URL
https://www.sciencedirect.com/science/article/pii/S0263224118303038 Open in new window
Abstract
The measurement of ventilation air change rate is a difficult, expensive task in buildings. Usually, the tracer-gas mass balance equation is used to determine ventilation air change rates. This method uses an ordinary differential equation. Consequently, it cannot deal with disturbances that enter the system, such as the influence of unrecognized and unmodelled inputs or the measurement noise. The use of the stochastic grey-box modelling approach, which is less common in the ventilation field, c...
Citation
Macarulla, M., Casals, M., Forcada, N., Gangolells, M., Giretti, A. Estimation of a room ventilation air change rate using a stochastic grey-box modelling approach. "Measurement", Agost 2018, vol. 124, p. 539-548.
Keywords
Air change rate estimation, Indoor air quality, Low-order model, Stochastic methods, Ventilation
Group of research
GRIC - Group of Construction Research and Innovation

Participants