Einfluss der frühzeitigen Branderkennung in Straßentunnel: Eine numerische Studie zum Brand von Elektrofahrzeugen
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Tagungsband der Fachtagung Katastrophenforschung 2023: Mit Beiträgen aus der Sicherheits- und Katastrophenforschung. Wien, 2023. p. 64-66.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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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 -
