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A Framework for Indoor Air Quality S...

Sharma, Himanshu.

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A Framework for Indoor Air Quality Sensor Placement Accounting for Uncertainties and Performing Risk Assessments.

Record Type:	Electronic resources : Monograph/item
Title/Author:	A Framework for Indoor Air Quality Sensor Placement Accounting for Uncertainties and Performing Risk Assessments./
Author:	Sharma, Himanshu.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2019,
Description:	169 p.
Notes:	Source: Dissertations Abstracts International, Volume: 81-03, Section: B.
Contained By:	Dissertations Abstracts International81-03B.
Subject:	Mechanical engineering. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13862603
ISBN:	9781085627405

A Framework for Indoor Air Quality Sensor Placement Accounting for Uncertainties and Performing Risk Assessments.
Sharma, Himanshu.

A Framework for Indoor Air Quality Sensor Placement Accounting for Uncertainties and Performing Risk Assessments. - Ann Arbor : ProQuest Dissertations & Theses, 2019 - 169 p.

Source: Dissertations Abstracts International, Volume: 81-03, Section: B.

Thesis (Ph.D.)--Iowa State University, 2019.

This item is not available from ProQuest Dissertations & Theses.

Monitoring and maintaining air quality in a built environment is essential for occupants health and safety. An indoor environment is subjected to various particulate, gaseous matter etc. Exposure to these contaminants can result in various health problems such as asthma, skin diseases and in some case cancer. Therefore indoor air quality monitoring sensors are important for early detection of these contaminants. An indoor contaminant is transported via the airflow. Various building uncertainties affect the airflow. Therefore it is important to account these uncertainties for designing optimal sensor network. Further, in case of an accidental or intentional release of hazardous contaminants, the network should also assist for risk assessments such as after release contaminant source distribution and identifying source location. The purpose of this research is to develop a unified framework for designing an optimal contaminant monitoring sensor network accounting building uncertainties and develop a methodology for carrying risk assessment under hazardous contaminant release. The framework uses the discrete form of Perron-Frobenius (P-F) transfer operator to carry fast, accurate contaminant transport analysis. The work develops a methodology for accounting occupancy and weather uncertainties to designing the sensor network. Once constructed the P-F operator is also used with an Ensemble Kalman Filter (EnKF) estimator to estimate contaminant distribution using sensor measurement. Further, for identifying the release location a Bayesian inference method is developed using the constructed P-F operator. The developed framework can be used in developing strategies for people evacuation during toxic contaminant release containment of airborne infectious disease. It can also be integrated with it with the buildings to make smart HVAC systems.

ISBN: 9781085627405Subjects--Topical Terms:

649730
Mechanical engineering.
Subjects--Index Terms:

Perron-Frobenius transfer

A Framework for Indoor Air Quality Sensor Placement Accounting for Uncertainties and Performing Risk Assessments.
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500 $a Source: Dissertations Abstracts International, Volume: 81-03, Section: B.
500 $a Advisor: Ganapathysubramanian, Baskar;Vaidya, Umesh.
502 $a Thesis (Ph.D.)--Iowa State University, 2019.
506 $a This item is not available from ProQuest Dissertations & Theses.
506 $a This item must not be sold to any third party vendors.
520 $a Monitoring and maintaining air quality in a built environment is essential for occupants health and safety. An indoor environment is subjected to various particulate, gaseous matter etc. Exposure to these contaminants can result in various health problems such as asthma, skin diseases and in some case cancer. Therefore indoor air quality monitoring sensors are important for early detection of these contaminants. An indoor contaminant is transported via the airflow. Various building uncertainties affect the airflow. Therefore it is important to account these uncertainties for designing optimal sensor network. Further, in case of an accidental or intentional release of hazardous contaminants, the network should also assist for risk assessments such as after release contaminant source distribution and identifying source location. The purpose of this research is to develop a unified framework for designing an optimal contaminant monitoring sensor network accounting building uncertainties and develop a methodology for carrying risk assessment under hazardous contaminant release. The framework uses the discrete form of Perron-Frobenius (P-F) transfer operator to carry fast, accurate contaminant transport analysis. The work develops a methodology for accounting occupancy and weather uncertainties to designing the sensor network. Once constructed the P-F operator is also used with an Ensemble Kalman Filter (EnKF) estimator to estimate contaminant distribution using sensor measurement. Further, for identifying the release location a Bayesian inference method is developed using the constructed P-F operator. The developed framework can be used in developing strategies for people evacuation during toxic contaminant release containment of airborne infectious disease. It can also be integrated with it with the buildings to make smart HVAC systems.
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