Simulation-Based Quantitative Risk Assessment of Fire in Urban Electrical Cable Tunnels

Fang, Hongqiang; Zhang, Jiaqing; Huang, Danyan; Lu, Shouxiang; Lo, Siuming

doi:10.1109/icfsfpe48751.2019.9055884

Cited by 3 publications

(5 citation statements)

References 16 publications

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“…In (6), t indicates time. Equation ( 6) is organized into matrix form, as shown in the following equation:…”

Section: Transient Ermal Circuit Modelmentioning

confidence: 99%

“…It took firefighters seven hours to basically control the fire. e fire forced the evacuation of 5000 people in the city center, left over 3000 families and enterprises without power supply, and halted the urban operation [6]. Power line fires account for 36.8% of all fire incidents, and casualties account for 47.1 percent of total injuries, according to a statistical analysis of significant fires from 2008 to 2016 [7].…”

Section: Introductionmentioning

confidence: 99%

“…Nevertheless, it is difficult to detect the fire as early as possible because cable tunnels are unattended and the fire detectors currently utilized cannot accurately detect the temperature of the cable in operation. When a fire is found, the fire has generally turned to the stage of intense combustion, and extinguishing the fire will become very difficult [6]. Figure 1 shows photos of three-core cable laying, cable fire, cable insulation damage, and structural damage.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Detection and Prediction of Internal‐Caused Fire in Tunnel Cable by an Equivalent Transient Thermal Circuit Model

Wang

Zhang

et al. 2021

Advances in Civil Engineering

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Internal-caused cable fires are one of the most common cable fires, and anomalous temperature increase of the cable core is one of the first signs. However, when a cable is operating with electricity, the temperature of the core conductor cannot be monitored directly; therefore, this characteristic cannot be used in detection and prediction of internal-caused fire in electric cable effectively. An analogous transient thermal circuit model is created, simplified, and optimized to properly compute the temperature of the cable core. Afterward, by using the cable internal-caused fire experimental platform and adjusting current carrying capacity of the tested cable, an experiment is conducted for stimulating the very early stage of three-core cable internal-caused fire. The maximum relative errors of the transient thermal circuit model and the trisection transient thermal circuit model are less than 10% when comparing the experimental data with the calculation results, and the average relative error of the calculated value of trisection transient thermal circuit model is 1.08% after layered optimization. The algorithm model can satisfy the requirement for early detection and prediction in the very early stage of cable internal-caused fire.

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“…In (6), t indicates time. Equation ( 6) is organized into matrix form, as shown in the following equation:…”

Section: Transient Ermal Circuit Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Detection and Prediction of Internal‐Caused Fire in Tunnel Cable by an Equivalent Transient Thermal Circuit Model

Wang

Zhang

et al. 2021

Advances in Civil Engineering

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“…From the point of view of fire risk assessment, Fang analyzed the fire risk of urban cable tunnels and proposed that daily inspection of cable tunnels is an important guarantee to ensure the safety of cable tunnels. At the same time, strengthening the dynamic management and monitoring of cable tunnels can effectively prevent the occurrence of cable tunnel accidents 6 . Lin completed the construction of a new computer integrated monitoring system for power cable tunnels 7 .…”

Section: Introductionmentioning

confidence: 99%

Safety risk assessment of cabling using established tunnels

Gao

Wang

et al. 2023

International Conference on Computer Application and Information Security (ICCAIS 2022)

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Laying power cables in existing tunnels can not only save land resources, but also improve the utilization rate of urban space. At the same time, it also has important practical significance for expanding the construction and development space of urban power grid. Therefore, in order to assess the safety risk level of cables laid in the built tunnels, the safety risk assessment index system of laying cables using existing tunnels is established, which contains 19 evaluation indexes, involving 8 sub-systems such as cable tunnel structure, lighting system and power supply system. Finally, the fuzzy analytic hierarchy process (AHP) method is employed to evaluate the safety risk of a power cable laying project in an existing tunnel. The results show that the risk level of laying cable trench in the built tunnel is low, and the feasibility of laying power cable in the built underground traffic tunnel is also proved.

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“…The existing high-voltage cable tunnel monitoring system is imperfect, and the information means are insufficient. Monitoring alarm and fire extinguishing devices are only set in key areas such as intermediate joints of power cable, which is still impossible to fully monitor the situation of the whole tunnel (Fang et al, 2019;An et al, 2020b;Wu et al, 2020). With the development of artificial intelligence and information communication technology, intelligent mobile monitoring and fire extinguishing devices are developed and applied in tunnels.…”

Section: Introductionmentioning

confidence: 99%

Research on Fire Prediction Method of High-Voltage Power Cable Tunnel Based on Abnormal Characteristic Quantity Monitoring

Chen

et al. 2022

Front. Energy Res.

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The proportion of cable lines in the urban distribution network is increasing. The fire hazard of important cable channels is prominent, which has a serious effect on the safety and stable operation of the power system. In recent years, intelligent mobile inspection and fire extinguishing devices have been applied in tunnels. The determination of firepower and location is conducive to the rapid and effective fire suppression of intelligent devices. Therefore, this study proposes a fire early warning method of a high-voltage power cable tunnel based on abnormal characteristic quantity monitoring. Based on the modified model of complex pyrolysis and combustion chemical reaction, the fire development of different fire source powers and fire locations is simulated. The temperature distribution and characteristic gas concentration under different simulation conditions are analyzed. The results show that the monitoring data of temperature, flue gas concentration, and CO and CO2 concentration need comprehensive analysis to effectively reflect different fire conditions. The characteristic data set is selected and processed to form a total sample. The fire prediction model is trained and tested. The accuracy of the proposed prediction model is 92%.

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Simulation-Based Quantitative Risk Assessment of Fire in Urban Electrical Cable Tunnels

Cited by 3 publications

References 16 publications

Detection and Prediction of Internal‐Caused Fire in Tunnel Cable by an Equivalent Transient Thermal Circuit Model

Detection and Prediction of Internal‐Caused Fire in Tunnel Cable by an Equivalent Transient Thermal Circuit Model

Safety risk assessment of cabling using established tunnels

Research on Fire Prediction Method of High-Voltage Power Cable Tunnel Based on Abnormal Characteristic Quantity Monitoring

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