Tuesday, December 16, 2008

Consequence assessment tool - how significant for risk assessment

There are a number of tools and techniques available for process hazards consequence assessment which includes models for manual use and computer codes. Many of the software programs use the Gaussian dispersion or similar algorithms to evaluate gas dispersion. These tools are often developed in order to assess a particular application (passive gas, dense gas, or specific chemical); some of them are further developed and modified to extend the range of usability.

Mostly, commercially marketed software models are validated using experimental field test, but often the results are far from the real scenarios experienced. The main reason being the limited range of application; in most process hazard cases, the materials involved are not a single, pure material and the effects of obstructions close to the release or incident site are not included in the model.

In general, for consequence assessment, using software tools some of the challenges are:
- Modelling the effects of multi-component material with varying physical & chemical properties
- Incorporating the effects of terrain, barriers, slops, structures and buildings
- Changes in weather condition during the release
- Near and far field effects

In order to overcome these challenges, the computational fluid dynamics technique which uses the physical formula was considered as an alternative to more conventional models. This paper looks into the modelling of dispersion characteristics using computational fluid dynamics around a built up area of a chemical plant and compares the results obtained using Gaussian algorithm. This is based on a consequence assessment study performed for a loss of containment event within a tank bund.

The CFD tool used is fluidyn-PANEPR and the tool used with gas dispersion algorithm is DNV PHAST.


The poster based on the above abstract was shown for ChemEng08 and is viewable from the following link:
http://myaker.net/_upl/icheme_poster_sreeraj.pdf

Acknowledgements: To co-author/contributor Mr.Ken Norrie

Risk perception

The term ‘risk’ is a term used quite often and in day to day life. Risk is defined and represented in different ways based on the associated activity and its nature. Risk consists of a combination of the probability of a perceived threat or opportunity occurring and the magnitude of its impact on objectives.

In process and manufacturing industries (not exclusive), most commonly, risk is assessed, analysed and expressed in terms of individual risk and societal risk. The risk estimation and analysis is to ensure that the risk an industrial activity is not resulting in intolerable levels.

Risk is perceived in terms of the severity from an event and its frequency. The fact to be noted is that those events with minimal severity but frequent posses similar risk to those events with maximum severity but not that frequent. The everyday activities like smoking (including passive) and driving (including being on road or on a means of transport) also could result in fatality and keep public at higher risk. These events may not be often classified as severe but happen quite frequently.

Then there are near-to-known or unknown treats like dust explosions and exposure to asbestos. The risk from such activities is seldom assessed due to lack of knowledge on the potential consequence. This raises the question on perceiving risk from potential major incidents. Even though the severity is estimated and well understood, it is often neglected considering as not likely.

An example: Catastrophic failure of a hazardous material storage tank could result in multiple fatalities and the recorded failure frequency is one in a million years (1 x 10-6 /yr). There are more than a million tanks which could result in similar catastrophe; which means, there will be a catastrophic failure of tank every year. The tank could be the tank on your way to work, which supply the fuel to the garage from where you re-fill, the site where you or dear one works, the near to school or hospital. And this is happening, yes every year there is a major incident associated with storage tanks.

About Me

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Professional practising process safety and loss prevention. Areas of expertise include: • Hazard identification, Consequence modelling and analysis • Risk evaluation (qualitative and quantitative) • Identify and evaluate cost-effective engineering solutions to reduce or mitigate risk • Emergency planning and preparedness • HSE training and audits

Publications by Author

  • Identifying Opportunities of Enhancing Safeguard Stewardship through IPL Rationalization, Global Congress on Process Safety, AIChE, March 2017
  • Identifying and managing process risks related to biofule project and plants, HAZARDS XXII, April 2011
  • Essence of the accuracy and acceptability of failure rate data in risk assessment, HAZARDS XXII, April 2011
  • Improving process safety performance using process hazard information, ChemInnovations, Oct 2010
  • Analysing the effectiveness of risk reduciton measures implemented, 13th Internationa Symposium on Loss prevention, June 2010
  • Determining process safety performance indicators for major accident hazards using site process hazard information, HAZARDS XXI, Nov 2009
  • Using predictive risk assessment to develop user-friendly tools for on-site and off-site emergency planning, HAZARDS XXi Nov 2009
  • Process Safety - staying ahead, The Chemical Engineer, IChemE, Oct 2009
  • SreeRaj R Nair, Determining the criteria for evaluation of toxic hazards, Journal of HSE and Fire Engineering, ASFE CUSAT, Issue 2 March 2009
  • S R Nair, Methods of avoiding tank bund overtopping using computational fluid dynamics tool, Paper 40, Page 479-495, HAZARDS XX, April 2008
  • Sreeraj R Nair, A review on Buncefield oil storage incident investigation, Petrosafe-07, April 2007
  • Sreeraj R Nair, Safety studies through project life cycle, Fire and Safety Journal, ASFE CUSAT, October 2006

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