Title
Risk-based optimization of emergency response systems for accidental gas leakage in utility tunnels
Author
Cai, Jitao (China University of Mining and Technology (Beijing))
Wu, Jiansong (China University of Mining and Technology (Beijing))
Yuan, S. (TU Delft Safety and Security Science)
Reniers, G.L.L.M.E. (TU Delft Safety and Security Science) 
Bai, Yiping (China University of Mining and Technology (Beijing))
Date
2024
Abstract
Focusing on the effective configuration of emergency response systems in utility tunnels, this study proposes an innovative approach to optimize existing emergency response systems based on a consequence rapid prediction model and genetic algorithm. In the proposed approach, the interactions between different emergency response components are considered to perform a rapid gas dispersion prediction. Furthermore, the predicted gas concentration distribution is employed to estimate the quantitative explosion risks by combining the equivalent cloud method and the Baker-Strehlow model. Finally, the cumulative and cascading risk index are proposed and combined for systematic optimization by using a genetic algorithm. A case study is performed to demonstrate the feasibility of the proposed approach. The results indicate that the optimized emergency response systems effectively reduce both the cumulative and cascading risk level. This study provides technical support for emergency response system design and helps to improve the safety-risk-control capabilities of utility tunnels.
Subject
Emergency response system
Natural gas leakage
Quantitative risk assessment
Safety barrier optimization
Utility tunnel
To reference this document use:
http://resolver.tudelft.nl/uuid:cdad38c1-baa3-4a0b-94b1-7ef694565f27
DOI
https://doi.org/10.1016/j.ress.2024.109947
Embargo date
2024-07-21
ISSN
0951-8320
Source
Reliability Engineering & System Safety, 244
Bibliographical note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Part of collection
Institutional Repository
Document type
journal article
Rights
© 2024 Jitao Cai, Jiansong Wu, S. Yuan, G.L.L.M.E. Reniers, Yiping Bai