Quantitative risk assessment (QRA) (Sometimes referred to as Quantitative Risk Analysis) is a systematic process of evaluating potential hazards and risks using numerical data and fire, explosion and toxic release models. It provides a quantitative estimate of the likelihood and consequences of risks, rather than just the qualitative description provided by qualitative risk assessment. QRA involves identifying possible hazards, determining the probability of various outcomes, estimating the severity of the consequences, and calculating an overall risk value.
The goal of QRA is to provide an objective measure of risk that can help inform risk management decisions. It allows us to understand the risks to which our employees, the environment, and company assets are exposed to. QRA often involves modelling complex systems and scenarios using statistical data, fault tree analysis, event tree analysis and other techniques. The resulting risk calculations provide a more precise understanding of risk levels and help identify the areas that require the most risk reduction efforts enabling us to make proportionate and cost-effective decisions to manage the risks at our industrial facility.
Quantitative Risk Analysis can be used to support other safety studies such as COMAH Risk Assessments and Occupied Buildings Risk Assessments and assist in the decision making regarding the acceptability of risk for new developments.
If you require assistance in performing QRA or any other risk assessment then please get in touch today to discuss your requirements.
Consequence modelling is a key component of QRA. It is used to predict and quantify the potential outcomes that could arise from the release of hazardous substances, or from the occurrence of hazardous events. Harm could occur from fires, explosions and toxic releases. Models can be long hand / spreadsheet calculations through to software such as Process Hazard Analysis Software Tool (PHAST), ALOHA and HyRam. Some key concepts are discussed below.
Toxic Harm - Harm can occur when an individual receives a toxic dose. This is typically modelled on two criteria, the specified level of toxicity (SLOT) and significant likelihood of death (SLOD). Consequence modelling can measure the distance to these effects and a vulnerability analysis used to establish the level of harm.
Fire and Explosion Modelling – Harm can occur from the effects of thermal radiation or explosion overpressure. The predicted thermal radiation can be converted to thermal dose units (TDU) and, along with predicted explosion overpressures, be used to understand the vulnerability of populations or buildings within a given area.
The modelling outputs therefore provide an estimation of the potential extent and severity of harm.
To produce a QRA the frequency of the accident requires quantification. Since risk is expressed as an outcome (e.g. fatality) then the quantification takes into account the likelihood of all factors which are required for the outcome to occur. Depending upon circumstances, this could include one or more of the following.
Initiating Event: Techniques such a Layers of Protection Analysis (LOPA), Fault Tree Analysis (FTA), Event Tree Analysis (ETA) and parts count can be used to estimate the frequency of an accident.
Ignition Probability: For fire and explosion scenarios a probability of ignition is estimated based on substance properties and release characteristics.
Occupancy: After understanding the hazard range an occupancy factor can be estimated if appropriate .
Vulnerability: If a person is present within the hazard range a probability of harm can be estimated based on consequence modelling outputs and industry vulnerability data.
Weather conditions: Wind speed and direction obtained from wind rose data might reduce the likelihood of some accident scenarios.
The outputs of the frequency assessment can be used to calculate the individual risk of fatality (IR) per annum (PA). The individual risk per annum is compared with the above framework to establish if risks are Broadly Acceptable, Tolerable if ALARP or Intolerable.
Societal risk pertains to the risk of significant incidents impacting a substantial portion of a population. These risks couldn't typically be captured by individual risk metrics, especially when a large group of people are affected simultaneously by incidents such as industrial accidents or natural disasters. The F-N Curve is a graphical representation pertinent to societal risk that shows the relationship between the number of fatalities (N) in an incident and the cumulative frequency (F) of incidents of at least N deaths occurring.
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