Key result
A data-driven PDE-ODE model successfully described CO2 dynamics inside a conference room due to human presence or exogenous sources, matching measured output concentrations in controlled experiments.
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This study provides a mathematical model and observer design for estimating human-induced CO2 dynamics in enclosed spaces.
We develop a data driven, partial differential equation-ordinary differential equation model that describes the response of the carbon dioxide (CO 2 ) dynamics inside a conference room, due to the presence of humans, or of a user-controlled exogenous source of CO 2 . We conduct three controlled experiments to develop and tune a model whose output matches the measured output concentration of CO 2 inside the room, when known inputs are applied to the model. In the first experiment, a controlled amount of CO 2 gas is released inside the room from a regulated supply, and in the second and third experiments, a known number of humans produce a certain amount of CO 2 inside the room. For the estimation of the exogenous inputs, we design an observer, based on our model, using measurements of CO 2 concentrations at two locations inside the room. We perform several simulation studies for the illustration of our results.
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Weekly et al. (2015) studied this question. Presence of humans or exogenous source of CO2 was evaluated on CO2 concentration inside the room. A data-driven PDE-ODE model successfully described CO2 dynamics inside a conference room due to human presence or exogenous sources, matching measured output concentrations in controlled experiments.
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