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Modelling indoor air carbon dioxide concentration using grey-box models

Author
Macarulla, M.; Casals, M.; Carnevali, M.; Forcada, N.; Gangolells, M.
Type of activity
Journal article
Journal
Building and environment
Date of publication
2017-05
Volume
117
First page
146
Last page
153
DOI
https://doi.org/10.1016/j.buildenv.2017.02.022 Open in new window
Repository
http://hdl.handle.net/2117/101974 Open in new window
URL
http://www.sciencedirect.com/science/article/pii/S0360132317300823 Open in new window
Abstract
Predictive control is the strategy that has the greatest reported benefits when it is implemented in a building energy management system. Predictive control requires low-order models to assess different scenarios and determine which strategy should be implemented to achieve a good compromise between comfort, energy consumption and energy cost. Usually, a deterministic approach is used to create low-order models to estimate the indoor CO2 concentration using the differential equation of the trace...
Citation
Macarulla, M., Casals, M., Carnevali, M., Forcada, N., Gangolells, M. Modelling indoor air carbon dioxide concentration using grey-box models. "Building and environment", Maig 2017, vol. 117, p. 146-153.
Keywords
CO2 prediction, Indoor air quality, Low-order model, Simulation, Stochastic methods, Ventilation
Group of research
GRIC - Group of Construction Research and Innovation

Participants