Back to results

University of Greenwich

Computer simulation of residential natural ventilation smoke control system

Abstract

dc:description.abstract

The main objective of the research is to explore the potential benefits of natural ventilation systems in domestic dwelling applications using SMARTFIRE CFD based fire simulation software and EXODUS evacuation simulation software. Based on the objective of natural ventilation system a detailed literature review has been performed and a new methodology has been proposed to understand the development of house fire with limited ventilation. The enhancement to fire modelling in terms of smoke removal using roof top vent through this study identifies the different vent sizes, positions and scenarios that can occur in a house. The proposed methodology uses the HRR curve method (simulation-correction method) which allows to design any fire realistic for any house structure. This study also proposes a solution to analyse the potential benefits or the risks involved using the roof top vent as the source of removal of smoke. And finally a survivability analysis will help to conclude the roof top vent application impact on survivability. Under an assumption that the fire is fixed with and without a top open, this study has demonstrated that a top vent is able to improve the dwelling survivability and the improvement in closed bedrooms just with leakages at the doorway is significant.

Degree

thesis:*
Level dc:type.qualificationlevel
mphil
Grantor dc:publisher.institution
University of Greenwich
Year dc:date.issued
2017

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Athar, Sidra
Advisors dc:contributor.advisor
  • Wang, Zhaozhi
  • Galea, Edwin

Subjects

dc:subject × 2

Rights

Language dc:language
en

Chain of custody

source
Harvested from
University of Greenwich
Base URL
gala.gre.ac.uk/cgi/oai2
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Athar, Sidra. Computer simulation of residential natural ventilation smoke control system. mphil thesis, University of Greenwich, 2017.