1. Estimating ventilation rates in a window-aired room using Kalman filtering and considering uncertain measurements of occupancy and CO2 concentration.
- Author
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Duarte, Rogério, Glória Gomes, Maria, and Moret Rodrigues, António
- Subjects
KALMAN filtering ,INDOOR air quality ,NATURAL ventilation ,WINDOWS ,TIME series analysis - Abstract
Abstract This paper describes a method for estimating ventilation rates in a window-aired room considering “in-use” conditions and uncertainty in occupancy (CO 2 release) and in measurements of indoor air CO 2 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 derived from knowledge of ventilation rates in window-aired rooms. Highlights • A state space model that considers uncertainty in occupancy and in measurements of indoor CO 2 concentration is derived. • A state observer based on this model and Kalman filtering successfully estimates ventilation rates in a window-aired room. • The link between the uncertainty in estimates of ventilation rate and the uncertainty in occupancy is discussed in detail. • Results for an existing classroom demonstrate the practical interest of knowing ventilation rates in window-aired rooms. [ABSTRACT FROM AUTHOR]
- Published
- 2018
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