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The use of HazOp and Fault Tree techniques for the assessment of non-accident induced release frequencies in the transport of hazardous substances

  • Valerio Cozzani
  • Gigliola Spadoni
  • Silvia Giusti
  • Severino Zanelli
Conference paper

Abstract

No well defined methodology is present in the literature for the quantitative risk assessment of non-accident induced releases during the road or rail transport of hazardous substances. The present study was dedicated to the development of a specific technique for the estimation of release frequencies of non-accident induced releases in marshalling yards. The methodology was based on the application of Hazop and Fault Tree techniques to reference schemes for tank-car vessels transporting liquids and liquefied gases. Failure frequencies and uncertainty intervals were thus estimated. The availability of release frequencies made possible the quantitative assessment of the risk caused by this kind of releases. An italian marshalling yards was analyzed. The Aripar-GIS software was used to estimate individual and societal risk caused by the different risk sources. The results pointed out that non-accident induced releases may give a relevant contribution to global risk indexes, in particular if the transport of toxic substances is concerned.

Keywords

Hazardous Substance Release Frequency Expected Frequency Rail Transport Failure Frequency 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Leonelli, P., Bonvicini, S., Spadoni, G. J. Loss Prev. Proc. Ind. 1999, 12: 507CrossRefGoogle Scholar
  2. 2.
    TNO Department of Industrial Safety, Guidelines for quantitative risk assessment (Purple Book), Committee for the Prevention of Disasters, The Hague, 1999Google Scholar
  3. 3.
    OREDA — Offshore Reliability Data 3rd Ed., SINTEF, 1994Google Scholar
  4. 4.
    CCPS, Process equipment reliability data, AIChE, New York 1989Google Scholar
  5. 5.
    Lees, F.P. Loss prevention in process industries, (II ed.) Butterworth-Heineman, London, 1986Google Scholar
  6. 6.
    Cozzani, V., Bonvicini, S., Vanni, L., Spadoni, G., Zanelli, S. Chim. Ind. 2001, 9: 69Google Scholar
  7. 7.
    Cozzani, V., Bonvicini, S., Vanni, L., Spadoni, G., Zanelli, S. Chim. Ind. 2001, 10: 64Google Scholar

Copyright information

© Springer-Verlag London 2004

Authors and Affiliations

  • Valerio Cozzani
    • 1
  • Gigliola Spadoni
    • 1
  • Silvia Giusti
    • 2
  • Severino Zanelli
    • 2
  1. 1.Dipartimento di Ingegneria Chimica, Mineraria e delle Tecnologie AmbientaliUniversità di BolognaBolognaItaly
  2. 2.Dipartimento di Ingegneria Chimica, Chimica Industriale e Scienza dei MaterialiUniversità di PisaPisaItaly

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