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Application of zonal model on indoor air sensor network design
Please use this identifier to cite or link to this item:
http://hdl.handle.net/1860/2641
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| Title: | Application of zonal model on indoor air sensor network design |
| Authors: | Chen, Y. Lisa
Wen, Jin |
| Keywords: | Indoor Air Quality
Multi-Zone Modeling
Zonal Modeling
Chemical And Biological
Warfare (CBW) Agent
Sensor System Design |
| Issue Date: | 10-Apr-2007 |
| Publisher: | International Society for Optical Engineering (SPIE) |
| Citation: | Paper presented at the SPIE the International Society for Optical Engineering |
| Abstract: | Growing concerns over the safety of the indoor environment have made the use of sensors
ubiquitous. Sensors that detect chemical and biological warfare agents can offer early warning
of dangerous contaminants. However, current sensor system design is more informed by
intuition and experience rather by systematic design. To develop a sensor system design
methodology, a proper indoor airflow modeling approach is needed. Various indoor airflow
modeling techniques, from complicated computational fluid dynamics approaches to simplified
multi-zone approaches, exist in the literature. In this study, the effects of two airflow modeling
techniques, multi-zone modeling technique and zonal modeling technique, on indoor air
protection sensor system design are discussed. Common building attack scenarios, using a
typical CBW agent, are simulated. Both multi-zone and zonal models are used to predict
airflows and contaminant dispersion. Genetic Algorithm is then applied to optimize the sensor
location and quantity. Differences in the sensor system design resulting from the two airflow
models are discussed for a typical office environment and a large hall environment. |
| URI: | http://hdl.handle.net/1860/2641 |
| Appears in Collections: | Faculty Research and Publications (CAEE)
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