dc.contributor.advisor |
Woo, Meng Wai |
|
dc.contributor.author |
Gomaa, Soha |
|
dc.date.accessioned |
2021-06-02T02:25:06Z |
|
dc.date.available |
2021-06-02T02:25:06Z |
|
dc.date.issued |
2021 |
en |
dc.identifier.uri |
https://hdl.handle.net/2292/55212 |
|
dc.description |
Full Text is available to authenticated members of The University of Auckland only. |
en |
dc.description.abstract |
Ventilation is an important part of any building design and is essential for the thermal comfort of the
occupants and to ensure a safe standard of air quality. Ventilation design standards have robust procedures
that able to predict guidelines for ventilation rates that will lead to acceptable indoor air quality (IAQ).
However, with increasing design complexity, sources of contaminants and rising energy costs, additional
tools are required to refine and target these procedures. A few specialised programmes are now available
to aid in the design of systems that will ensure acceptable IAQ. There is a clear trend: as the accuracy of
the design tool increases, so too does the amount of source information and computing power that is
required. CFD is the most detailed numerical simulation currently available. It is very effective at modelling
the micro-environment in a building to determine detailed and accurate fluid flow and contaminant
concentrations. In recent years CFD has been integrated with multizone models capable of modelling whole
buildings. By using CFD to target key zones, and the multizone model for the remaining building, a
complementary method is created. This study aims to develop a design protocol to aid with ventilation
design in a low-pressure environment with high-pressure suction ports.
A chemical manufacturing vendor participated in this research and was used as a case study for general
model extraction (GEV) and local extraction (LEV) designs. The geometry of the manufacturing area was
modelled in the ANSYS workbench with two versions of a GEV and LEV system. The suction ports were
modelled at two elevations to predict airflow in the breathing zone of the workers at 1.7m and at the floor
level where heavy chemical fumes may accumulate. The model was solved under a transient framework
with time step and mesh independence assessments to ensure the model is robust and accurate. Time
step and mesh independence testing reported accurate and reliable models. The velocity profiles in the
GEV and LEV systems were reported and analysed for significant dead zones and airflow patterns. The
LEV system was ultimately recommended as the preferred ventilation design system. It has significantly
fewer dead zones to the GEV system with targeted extraction that results in a lower contaminant
concentration overall. The vendor accepted the recommendation and built the design with positive
preliminary feedback. The findings of this study suggest this could be a CFD aided design protocol for
ventilation systems in low-pressure environments. Further investigation into improving computational
efficiency using steady state solutions for the modelling of high complexity models, including species
transport. |
|
dc.publisher |
ResearchSpace@Auckland |
en |
dc.relation.ispartof |
Masters Thesis - University of Auckland |
en |
dc.relation.isreferencedby |
UoA |
en |
dc.rights |
Restricted Item. Full Text is available to authenticated members of The University of Auckland only. |
en |
dc.rights |
Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. |
|
dc.rights.uri |
https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm |
en |
dc.rights.uri |
http://creativecommons.org/licenses/by-nc-sa/3.0/nz/ |
|
dc.title |
Incorporating CFD Into Ventilation Design Standards to Maximise Ventilation Rates |
|
dc.type |
Thesis |
en |
thesis.degree.discipline |
Chemical and Materials Engineering |
|
thesis.degree.grantor |
The University of Auckland |
en |
thesis.degree.level |
Masters |
en |
dc.date.updated |
2021-06-01T02:27:55Z |
|
dc.rights.holder |
Copyright: the author |
en |
dc.identifier.wikidata |
Q112955344 |
|