Einfluss der frühzeitigen Branderkennung in Straßentunnel: Eine numerische Studie zum Brand von Elektrofahrzeugen

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Einfluss der frühzeitigen Branderkennung in Straßentunnel: Eine numerische Studie zum Brand von Elektrofahrzeugen. / Patsekha, Aliaksei; Galler, Robert.
Tagungsband der Fachtagung Katastrophenforschung 2023: Mit Beiträgen aus der Sicherheits- und Katastrophenforschung. Wien, 2023. S. 64-66.

Publikationen: Beitrag in Buch/Bericht/KonferenzbandBeitrag in Konferenzband

Harvard

Patsekha, A & Galler, R 2023, Einfluss der frühzeitigen Branderkennung in Straßentunnel: Eine numerische Studie zum Brand von Elektrofahrzeugen. in Tagungsband der Fachtagung Katastrophenforschung 2023: Mit Beiträgen aus der Sicherheits- und Katastrophenforschung. Wien, S. 64-66, Fachtagung Katastrophenforschung 2023, Leoben, Österreich, 11/09/23. <https://newslettertogo.com/5ggppbdj-i4k7hn5w-h20i4oj6-17q9>

APA

Patsekha, A., & Galler, R. (2023). Einfluss der frühzeitigen Branderkennung in Straßentunnel: Eine numerische Studie zum Brand von Elektrofahrzeugen. In Tagungsband der Fachtagung Katastrophenforschung 2023: Mit Beiträgen aus der Sicherheits- und Katastrophenforschung (S. 64-66). Vorzeitige Online-Publikation. https://newslettertogo.com/5ggppbdj-i4k7hn5w-h20i4oj6-17q9

Vancouver

Patsekha A, Galler R. Einfluss der frühzeitigen Branderkennung in Straßentunnel: Eine numerische Studie zum Brand von Elektrofahrzeugen. in Tagungsband der Fachtagung Katastrophenforschung 2023: Mit Beiträgen aus der Sicherheits- und Katastrophenforschung. Wien. 2023. S. 64-66 Epub 2023 Nov 10.

Author

Patsekha, Aliaksei ; Galler, Robert. / Einfluss der frühzeitigen Branderkennung in Straßentunnel: Eine numerische Studie zum Brand von Elektrofahrzeugen. Tagungsband der Fachtagung Katastrophenforschung 2023: Mit Beiträgen aus der Sicherheits- und Katastrophenforschung. Wien, 2023. S. 64-66

Bibtex - Download

@inproceedings{2a18bb16fe3847dea5ebb3a64875ad1a,
title = "Einfluss der fr{\"u}hzeitigen Branderkennung in Stra{\ss}entunnel: Eine numerische Studie zum Brand von Elektrofahrzeugen",
abstract = "The increasing number of electric vehicles (EVs) on the roads has raised concerns regarding fire safety in road tunnels. With the higher energy density of batteries in EVs compared to traditional combustion engines, EV fires in tunnels can pose greater risks to drivers and passengers, resulting in more severe damage. This study simulates a 5.2 MW fire in a 700-meter tunnel section and evaluates the impact of different fire detection times on smoke distribution. Using the Fire Dynamic Simulator, numerical simulations were conducted to provide insights into the effectiveness of early fire detection and its potential impact on mitigating the risks associated with EV fires in tunnels. The findings highlight the importance of emergency ventilation activation in reducing the hazards posed by fire spread upstream and enabling safe evacuation of individuals in potentially life-threatening situations. The study highlights the significant challenge in managing emergency ventilation in modern road tunnels and emphasizes the need for improved fire detection systems to ensure the safety of drivers and passengers in case of emergency.",
keywords = "Tunnel, Electric vehicle fire, Emergency ventilation, Fire simulation, Fire Dynamic Simulator",
author = "Aliaksei Patsekha and Robert Galler",
year = "2023",
month = nov,
day = "10",
language = "Deutsch",
pages = "64--66",
booktitle = "Tagungsband der Fachtagung Katastrophenforschung 2023",
note = "Fachtagung Katastrophenforschung 2023, FKF23 ; Conference date: 11-09-2023 Through 12-09-2023",
url = "https://www.dcna.at/index.php/de/fachtagung-katastrophenforschung-2023.html",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

T1 - Einfluss der frühzeitigen Branderkennung in Straßentunnel: Eine numerische Studie zum Brand von Elektrofahrzeugen

AU - Patsekha, Aliaksei

AU - Galler, Robert

PY - 2023/11/10

Y1 - 2023/11/10

N2 - The increasing number of electric vehicles (EVs) on the roads has raised concerns regarding fire safety in road tunnels. With the higher energy density of batteries in EVs compared to traditional combustion engines, EV fires in tunnels can pose greater risks to drivers and passengers, resulting in more severe damage. This study simulates a 5.2 MW fire in a 700-meter tunnel section and evaluates the impact of different fire detection times on smoke distribution. Using the Fire Dynamic Simulator, numerical simulations were conducted to provide insights into the effectiveness of early fire detection and its potential impact on mitigating the risks associated with EV fires in tunnels. The findings highlight the importance of emergency ventilation activation in reducing the hazards posed by fire spread upstream and enabling safe evacuation of individuals in potentially life-threatening situations. The study highlights the significant challenge in managing emergency ventilation in modern road tunnels and emphasizes the need for improved fire detection systems to ensure the safety of drivers and passengers in case of emergency.

AB - The increasing number of electric vehicles (EVs) on the roads has raised concerns regarding fire safety in road tunnels. With the higher energy density of batteries in EVs compared to traditional combustion engines, EV fires in tunnels can pose greater risks to drivers and passengers, resulting in more severe damage. This study simulates a 5.2 MW fire in a 700-meter tunnel section and evaluates the impact of different fire detection times on smoke distribution. Using the Fire Dynamic Simulator, numerical simulations were conducted to provide insights into the effectiveness of early fire detection and its potential impact on mitigating the risks associated with EV fires in tunnels. The findings highlight the importance of emergency ventilation activation in reducing the hazards posed by fire spread upstream and enabling safe evacuation of individuals in potentially life-threatening situations. The study highlights the significant challenge in managing emergency ventilation in modern road tunnels and emphasizes the need for improved fire detection systems to ensure the safety of drivers and passengers in case of emergency.

KW - Tunnel

KW - Electric vehicle fire

KW - Emergency ventilation

KW - Fire simulation

KW - Fire Dynamic Simulator

M3 - Beitrag in Konferenzband

SP - 64

EP - 66

BT - Tagungsband der Fachtagung Katastrophenforschung 2023

CY - Wien

T2 - Fachtagung Katastrophenforschung 2023

Y2 - 11 September 2023 through 12 September 2023

ER -