NDLI: Industrial fire simulation and uncertainty associated with the Emission Dispersion Model

Content Provider	Springer Nature Link
Author	Chettouh, Samia Hamzi, Rachida Innal, Fares Haddad, Djamel
Copyright Year	2014
Abstract	The use of numerical modeling in the field of industrial fire accidentology has become common nowadays and this tendency is expected to increase with the development of performance simulation tools. Despite the constant development of fire modeling tools, the current state of the art is not yet able to accurately predict fire phenomena. This gap between the reality and simulations is probably due to the presence of some level of uncertainty, which may occur from the meteorological inputs, diffusion assumptions, plume dynamics, or emission production. To cope with the presence of uncertainties in the input data, we propose an uncertainty analysis enabling to avoid as much as possible bad decisions that may have a large impact in domains such as safety. In this study, we are interested in the uncertainty propagation related to NO2 atmospheric dispersion resulting from a crude oil tank fire. Uncertainties were defined a priori for each of the following input parameters: wind speed, NO2 emission rate, and viscosity and diffusivity coefficients. For that purpose, a Monte Carlo approach has been used. In order to evaluate the importance of the considered parameters on the NO2 dispersion, new sensitivity indicator has been developed. The obtained results showed that the viscosity coefficient and the wind speed are the most significant input parameters with respect to NO2 concentration near to the source of fire, while the wind speed and the initial concentration are the important parameters for distant areas.
Starting Page	1265
Ending Page	1273
Page Count	9
File Format	PDF
ISSN	1618954X
Journal	Clean Technologies and Environmental Policy
Volume Number	16
Issue Number	7
e-ISSN	16189558
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2014-06-12
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Emission Dispersion Model Fire Uncertainty Monte Carlo analysis Sustainable Development Industrial Chemistry/Chemical Engineering Industrial and Production Engineering Environmental Engineering/Biotechnology Environmental Economics
Content Type	Text
Resource Type	Article
Subject	Environmental Chemistry Environmental Engineering Economics and Econometrics Business, Management and Accounting Management, Monitoring, Policy and Law

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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