SMOKE PLUME FROM FIRE LAGRANGIAN SIMULATION: DEPENDENCE ON DRAG COEFFICIENT AND RESOLUTION

Bianca Tenti; Enrico Ferrero

SMOKE PLUME FROM FIRE LAGRANGIAN SIMULATION: DEPENDENCE ON DRAG COEFFICIENT AND RESOLUTION

Bianca Tenti
, Enrico Ferrero

Department of Sustainable Development and Ecological Transition

Research output: Contribution to conference › Paper › peer-review

Abstract

In this work a numerical simulation of the plume dispersed from a fire is performed using the Lagrangian stochastic particle model SPRAYWEB and the results are compared to a field experiment, carried out in August 2013 in Idaho (USA). The plume rise scheme used is not based on an analytical model and the only two assumptions required are the drag coefficient (CD) value and the cell size. Here we want to assess the dependence of the model on the values chosen for these two parameters.

Original language	English
Publication status	Published - 2022
Event	21st International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO 2022 - Aveiro, Portugal Duration: 27 Sept 2022 → 30 Sept 2022

Conference

Conference	21st International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO 2022
Country/Territory	Portugal
City	Aveiro
Period	27/09/22 → 30/09/22

Keywords

Plume rise
dispersion model
drag coefficient

Cite this

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title = "SMOKE PLUME FROM FIRE LAGRANGIAN SIMULATION: DEPENDENCE ON DRAG COEFFICIENT AND RESOLUTION",

abstract = "In this work a numerical simulation of the plume dispersed from a fire is performed using the Lagrangian stochastic particle model SPRAYWEB and the results are compared to a field experiment, carried out in August 2013 in Idaho (USA). The plume rise scheme used is not based on an analytical model and the only two assumptions required are the drag coefficient (CD) value and the cell size. Here we want to assess the dependence of the model on the values chosen for these two parameters.",

keywords = "Plume rise, dispersion model, drag coefficient",

author = "Bianca Tenti and Enrico Ferrero",

note = "Publisher Copyright: {\textcopyright} British Crown Copyright (2022); 21st International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO 2022 ; Conference date: 27-09-2022 Through 30-09-2022",

year = "2022",

language = "English",

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TY - CONF

T1 - SMOKE PLUME FROM FIRE LAGRANGIAN SIMULATION

T2 - 21st International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO 2022

AU - Tenti, Bianca

AU - Ferrero, Enrico

PY - 2022

Y1 - 2022

N2 - In this work a numerical simulation of the plume dispersed from a fire is performed using the Lagrangian stochastic particle model SPRAYWEB and the results are compared to a field experiment, carried out in August 2013 in Idaho (USA). The plume rise scheme used is not based on an analytical model and the only two assumptions required are the drag coefficient (CD) value and the cell size. Here we want to assess the dependence of the model on the values chosen for these two parameters.

AB - In this work a numerical simulation of the plume dispersed from a fire is performed using the Lagrangian stochastic particle model SPRAYWEB and the results are compared to a field experiment, carried out in August 2013 in Idaho (USA). The plume rise scheme used is not based on an analytical model and the only two assumptions required are the drag coefficient (CD) value and the cell size. Here we want to assess the dependence of the model on the values chosen for these two parameters.

KW - Plume rise

KW - dispersion model

KW - drag coefficient

UR - https://www.scopus.com/pages/publications/85146219319

M3 - Paper

Y2 - 27 September 2022 through 30 September 2022

ER -

SMOKE PLUME FROM FIRE LAGRANGIAN SIMULATION: DEPENDENCE ON DRAG COEFFICIENT AND RESOLUTION

Abstract

Conference

Keywords

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