Guidelines For Chemical Process Quantitative Risk Analysis: Pdf
Guidelines for Chemical Process Quantitative Risk Analysis (CPQRA)
The , published by the AIChE Center for Chemical Process Safety (CCPS) , was born out of tragedy to ensure such disasters never happen again. The Story of its Origin
Benefits of QRA
- QRA report structure: executive summary, scope, methods, assumptions, data sources, detailed results, recommendations, appendices (inputs, model files, calculations).
- Deliverables: GIS risk maps, F-N curves, spreadsheets, dispersion model outputs, HAZOP linkage.
- Transparency: record assumptions, limitations, and areas needing further data.
- Scope statement: facilities, time horizon, and decision context.
- Project plan: schedule, milestones, deliverables, resources, budget.
- Data management: sources, version control, confidentiality.
- Stakeholder engagement: regulators, community, emergency services.
- Quality assurance: peer review, audits, and acceptance criteria.
- Data sources: plant-specific incident records, reliability databases (e.g., OREDA), industry databases, fault tree analysis (FTA), event trees, and Bayesian methods.
- Initiating event frequencies: valves, flanges, corrosion, human error rates.
- Common-cause and dependent failures: incorporate CCF factors and dependency models.
- Uncertainty quantification: use confidence intervals, sensitivity analysis, and probabilistic distributions.
- Aggregation: combine frequencies across scenarios and systems.
- Step-by-step approach
- Data collection and analysis
- Model selection and application