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Advisor(s)
Abstract(s)
This paper describes a method for estimating ventilation
rates in a window-aired room considering “in-use”
conditions and uncertainty in occupancy (CO2 release) and
in measurements of indoor air CO2 concentration. Estimates
are drawn from indoor air mass conservation principles and
an Extended Kalman Filter, serving as state observer. The
modelling procedure is described and tested against synthetic
time series generated from pseudorandom values of occupancy
and ventilation rate. Additionally, data collected from
a case study (a window-aired classroom) is used to illustrate
how the procedure is applied and its practical interest. Test
results confirm the state observer’s tracking capability and
confirm its ability to reconstruct ventilation rates in the presence
of sudden changes caused by window opening/ closing
and intermittent occupancy. Results for the case study highlight
the benefits to designers and ultimately to occupants,
derived from knowledge of ventilation rates in window-aired
rooms.
Description
Keywords
Natural ventilation Window airing Manual opening of windows Extended Kalman Filter State observer School classroom
Citation
Duarte, R., Gomes, M. G. & Rodrigues, A. M. (2018). stimating ventilation rates in a window-aired room using Kalman filtering and considering uncertain measurements of occupancy and CO2 concentration. Building and Environment, 143, pp. 691-700. doi: 10.1016/j.buildenv.2018.07.016
Publisher
Elsevier