TY - JOUR
T1 - Quantitative risk assessment of direct lightning strike on external floating roof tank
AU - Wei, Tongtong
AU - Qian, Xinming
AU - Yuan, Mengqi
N1 - Publisher Copyright:
© 2018 Elsevier Ltd
PY - 2018/11
Y1 - 2018/11
N2 - Lightning-related fires and explosions may trigger escalated severe accidents for external floating roof tank (EFRT) farms. Quantitative risk assessment of lightning risk for EFRTs is an effective approach to reduce casualties and property damage. In this research, a quantitative methodology for the risk assessment of direct lightning strike on EFRTs is proposed, in which the risk-attenuating factors are considered by three special sub-models. The first sub-model allows the calculations of the frequencies of major accident scenarios with a small amount of inputs. The second sub-model allows the analysis of the influence of uncertainties on the physical effect due to full surface fire. By the third sub-model, the contribution of automatic firefighting systems and evacuation behavior to the decrease of the damage or death probability can be quantified. The three coherent sub-models constitute the main framework of the methodology in this research, and they are also applicable for other quantitative risk analysis. To demonstrate the applicability of this methodology and the flexibility of the sub-models, a case study is investigated and the contributions of risk-attenuating factors are further discussed. Finally, suggestions are proposed to optimize the lightning risk assessment for EFRTs.
AB - Lightning-related fires and explosions may trigger escalated severe accidents for external floating roof tank (EFRT) farms. Quantitative risk assessment of lightning risk for EFRTs is an effective approach to reduce casualties and property damage. In this research, a quantitative methodology for the risk assessment of direct lightning strike on EFRTs is proposed, in which the risk-attenuating factors are considered by three special sub-models. The first sub-model allows the calculations of the frequencies of major accident scenarios with a small amount of inputs. The second sub-model allows the analysis of the influence of uncertainties on the physical effect due to full surface fire. By the third sub-model, the contribution of automatic firefighting systems and evacuation behavior to the decrease of the damage or death probability can be quantified. The three coherent sub-models constitute the main framework of the methodology in this research, and they are also applicable for other quantitative risk analysis. To demonstrate the applicability of this methodology and the flexibility of the sub-models, a case study is investigated and the contributions of risk-attenuating factors are further discussed. Finally, suggestions are proposed to optimize the lightning risk assessment for EFRTs.
KW - Direct lightning strike
KW - External floating roof tank
KW - Full surface fire
KW - Quantitative risk assessment
KW - Risk-attenuating factor
UR - http://www.scopus.com/inward/record.url?scp=85052897958&partnerID=8YFLogxK
U2 - 10.1016/j.jlp.2018.08.019
DO - 10.1016/j.jlp.2018.08.019
M3 - Article
AN - SCOPUS:85052897958
SN - 0950-4230
VL - 56
SP - 191
EP - 203
JO - Journal of Loss Prevention in the Process Industries
JF - Journal of Loss Prevention in the Process Industries
ER -