Degree Type

Dissertation

Date of Award

2016

Degree Name

Doctor of Philosophy

Department

Mechanical Engineering

Major

Mechanical Engineering

First Advisor

Baskar Ganapathysubramanian

Second Advisor

Michael G. Olsen

Abstract

People in the developed world spend the majority of their lives indoors. While inside,

people can be exposed to many different gaseous and particulate contaminants. Both short

term and long term exposure to these contaminants have a wide range of health related

outcomes from mild discomfort to heart disease, cancer, and even death. The purpose of this

research is to provide a computational framework for fast predictions of the transport of

contaminants, which is used to identify optimal locations for sensors, and finally the

framework is utilized to provide performance measures for ventilation system during the

design stage. All these applications can be analyzed using the discrete form of the Perron-

Frobenius operator, also known as Markov matrices. Two different methods are developed

for fast and accurate calculations of contaminant transport at large Courant numbers. Once

the Markov matrices are calculated, they are used to position sensors where contaminants are likely to collect and are used to quantify mechanical ventilation performance. The methods developed may be used to develop evacuation for people during a release of a toxic gas or airborne infectious disease, execute containment plans of potentially harmful airborne

contaminants, and the control of HVAC systems to provide adequate ventilation and clean/fresh air to the occupied space.

Copyright Owner

Anthony David Fontanini

Language

en

File Format

application/pdf

File Size

158 pages

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