Estimating a Building Airflow Network using CO2 Measurements from a Distributed Sensor Network

Abstract

An appropriate estimate of a building airflow network, which consists of infiltration and interzonal airflow, is important when determining indoor air quality, energy use, and for detecting contaminants. The objective of this study was to estimate the airflow network of a commercial building using CO2 as a tracer. CO2 is naturally present in the environment and is generated inside buildings by occupants. In Part I of this study, various sets of "perfect" CO2 measurements were simulated under different occupancy schedules. In Part II of this study, the effect of CO2 sensor uncertainty on airflow estimation was evaluated. Linear least squares was used in both parts of this study to estimate the building airflow network. This study demonstrated (1) the feasibility of using CO2 as a tracer to estimate a building airflow network and (2) that a good estimate of the building airflow network can be made even under sensor uncertainty.

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Cite this paper

@inproceedings{Chen2014EstimatingAB, title={Estimating a Building Airflow Network using CO2 Measurements from a Distributed Sensor Network}, author={Y. Lisa Chen and Jin Wen}, year={2014} }