Drexel University Home Pagewww.drexel.edu DREXEL UNIVERSITY LIBRARIES HOMEPAGE >>
iDEA DREXEL ARCHIVES >>

iDEA: Drexel E-repository and Archives > Drexel Academic Community > College of Engineering > Department of Civil, Architectural,and Environmental Engineering > Faculty Research and Publications (CAEE) > 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

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)

Files in This Item:

File Description SizeFormat
2006175347.pdf427.43 kBAdobe PDFView/Open
View Statistics

Items in iDEA are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Valid XHTML 1.0! iDEA Software Copyright © 2002-2010  Duraspace - Feedback