Journal article
Estimating building airflow using CO2 measurements from a distributed sensor network
HVAC&R research, v 17(3), pp 344-365
01 Jun 2011
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
An accurate estimate of airflow rates within a building, namely the infiltration and interzonal airflow, is needed when determining energy use and indoor air quality and for detecting contaminants. The objective of this article is to demonstrate the feasibility of estimating airflow in a commercial building using carbon dioxide (CO2) as a tracer. In this article, development of the proposed building airflow network inverse models (both deterministic and stochastic) is presented along with the methods used to test their performance. It is shown that the proposed inverse models would be able to determine the airflow for a one-story building of any size, as long as the rank of the known-information matrix is greater than or equal to the number of unknown airflow rates. Synthetic perfect and imperfect steady-state and transient CO2 measurements are used to test the performance of the proposed building airflow network inverse models.
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Details
- Title
- Estimating building airflow using CO2 measurements from a distributed sensor network
- Creators
- Lisa Chen Ng - Drexel UniversityJin Wen - Drexel University
- Publication Details
- HVAC&R research, v 17(3), pp 344-365
- Publisher
- Taylor & Francis
- Number of pages
- 22
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering
- Web of Science ID
- WOS:000292830400009
- Scopus ID
- 2-s2.0-79959818875
- Other Identifier
- 991019168195804721
UN Sustainable Development Goals (SDGs)
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Construction & Building Technology
- Engineering, Mechanical
- Thermodynamics