Simulation analysis of fire truck scheduling strategies for fighting oil fires

Zhou, Jianfeng; Tu, Chaochao; Reniers, Genserik

doi:10.1016/j.jlp.2020.104205

Cited by 10 publications

(3 citation statements)

References 34 publications

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“…Similarly to the abovementioned strategy of deploying fire trucks around burning buildings, the research published by Belgian, Dutch, and Chinese academics [17] focuses primarily on water refilling of fire trucks in the process of fighting oil fires. The procedure uses the eM-plant simulation tool to model the firefighting process.…”

Section: The Current Approachmentioning

confidence: 99%

Comprehensive Analysis of Housing Estate Infrastructure in Relation to the Passability of Firefighting Equipment

et al. 2021

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The article focuses on the assessment and evaluation of the passability in densely populated parts of cities with multi-storey housing estates, in terms of the operation of the integrated rescue system (IRS) in the Czech Republic. The aim of the research is to minimize the arrival times to conduct the intervention as efficiently as possible. The presented problem is caused by unsystematic development of housing estates and the emergence of secondary problems in the form of inability to reach the place of intervention by the larger IRS vehicles. The vision presented in this document presents a systematic approach to improve the serviceability of individual blocks of flats. The main aim is to ensure passability, even for the largest equipment, such as fire engine ladders. Detailed mapping of the selected sites by drones, construction of their digital model, and subsequent virtual verification of the passability by specific vehicle models on identified access roads was performed. The results obtained by this procedure can then be implemented in the navigation of the fire safety forces and facilitate their arrival at the site of intervention. At the end, specific ways are presented in which the whole system can be modified to be able to intuitively change and choose individual access routes in real time, based on the current situation in the area.

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Section: The Current Approachmentioning

confidence: 99%

Comprehensive Analysis of Housing Estate Infrastructure in Relation to the Passability of Firefighting Equipment

et al. 2021

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“…[6][7][8][9][10][11][12][13][14][15][16] However, work conducted on optimal firefighting and its role in preventing and reducing the risk of domino effects has been limited. [5,[17][18][19][20][21] Khakzad combined domino effect models with decisionmaking and optimization techniques such as dynamic influence diagram (an extension of dynamic Bayesian network [BN]), [5] mathematical programing, [5] and information theory, [20] to find optimal firefighting strategies. Considering onsite property losses of domino effects as the only risk, Cincotta et al, [17] developed a resiliency metric and argued that optimal firefighting strategies are those that could maximize the resiliency of the plant.…”

Section: Introductionmentioning

confidence: 99%

“…Aside from the foregoing studies, there have been relevant studies for identifying and optimizing firefighting schedules rather than firefighting strategies. [18,19] In the foregoing studies, [5,[17][18][19][20] optimal firefighting strategies were identified considering only one objective: reducing the probability of potential domino effects, or in other words, reducing the internal risk of property loss due to domino effects. To address this drawback, Khakzad proposed employing multi-objective optimization to consider several safety goals in identifying optimal firefighting strategies.…”

Section: Introductionmentioning

confidence: 99%

Optimization of firefighting strategies in process plants with emphasis on domino effects and safe evacuation

Khakzad,

Chen,

Reniers

et al. 2023

Can J Chem Eng

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Effective firefighting and evacuation are integral parts of emergency response plans in process plants, which play a key role in protecting human lives and assets in the event of major fires. Given sufficient firefighting resources, firefighters would suppress all the burning vessels and cool off all the exposed vessels in order to contain the fire and prevent a fire‐induced domino effect. However, when the number of critical units—whether on fire or exposed to fire—exceeds the firefighting resources, firefighters should decide how to optimally allocate the resources so as to best satisfy the safety goals. To facilitate such decisions, the present work aims to develop a methodology for effective firefighting under insufficient resources. The methodology seeks out two safety goals via optimal firefighting strategies: (1) providing for the safety of evacuees, and (2) reducing the risk of domino effects. Although both safety goals are attempted to be satisfied at the same time, a higher priority is assigned to the first goal as long as the evacuation is underway. When the evacuation is complete, all the resources are focused on the second goal. The study shows that a multi‐objective optimization approach to identifying firefighting plans outdoes single‐objective optimization approaches in that several safety goals could be met at once. Although only two safety goals are considered in the present study, the methodology is flexible enough to accommodate several goals such as safety of offsite people and assets.

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Development of fire risk visualization tool based on heat map

Liu

Fan

et al. 2021

Journal of Loss Prevention in the Process Industries

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Simulation analysis of fire truck scheduling strategies for fighting oil fires

Cited by 10 publications

References 34 publications

Comprehensive Analysis of Housing Estate Infrastructure in Relation to the Passability of Firefighting Equipment

Comprehensive Analysis of Housing Estate Infrastructure in Relation to the Passability of Firefighting Equipment

Optimization of firefighting strategies in process plants with emphasis on domino effects and safe evacuation

Development of fire risk visualization tool based on heat map

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