Using a Dynamic Quantitative Risk Assessment System to Manage Day-to-Day Operati

【作者(必填)】Loy, Y. Y., National University of SingaporeRangaiah, G. P., National University of Singapore

S., L., National University of Singapore


【文题(必填)】Using a Dynamic Quantitative Risk Assessment System to Manage Day-to-Day Operation Risks
【年份(必填)】2017

【全文链接或数据库名称(选填)】 https://www.aiche.org/ccps/confe ... day-operation-risks

• Conference: CCPS Global Summit on Process Safety
• Year: 2017
• Proceeding: 4th CCPS Global Summit on Process Safety
• Group: 2017 Global Summit on Process Safety
• Session: [size=1em]Internet of Things & Big Data & Smartification
  
  
  
• Time: [size=1em]Tuesday, September 12, 2017 - 1:50pm-2:15pm
  
  

Using a Dynamic Quantitative Risk Assessment System to Manage Day-to-Day Operation Risks

• Conference: CCPS Global Summit on Process Safety
• Year: 2017
• Proceeding: 4th Global Summit on Process Safety
• Group: 2017 Global Summit on Process Safety
• Session: [size=1em][size=1em]Internet of Things & Big Data & Smartification
  
  
  
• Time: [size=1em]Tuesday, September 12, 2017 - 1:50pm-2:15pm
  
  

[size=1.286em]Authors:
Loy, Y. Y., National University of Singapore

Rangaiah, G. P., National University of Singapore

S., L., National University of Singapore



Quantitative Risk Assessment (QRA) is a common safety study used by regulators to understand risks associated with chemical process facilities. Its results are used to provide advice to facility owners with regards to safety as well as to make country-level decisions for land use planning. Common outputs from a QRA include individual risk (IR) per annum and potential loss of life (PLL), both are annualised metrics suitable for regulatory use when assessing safety of facilities that are built to last for several decades. The quantification allows regulators to manage risks across different facility types in an impartial manner, establishing risk level restrictions that all facility owners will have to follow. For example, in Singaporea

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