Issue
Korean Journal of Chemical Engineering,
Vol.22, No.5, 649-656, 2005
Optimization for Allocating the Explosive Facilities in Order to Minimize the Domino Effect Using Nonlinear Programming
.Accidents caused by the domino effect in chemical plants or the petrochemical industry are generally more serious than any other accident. But it is difficult to examine the true factor because the domino effect is influenced by many nonlinear factors. The immediate causes of the domino effect are the peak overpressure, flying objects, and flame. Nonlinearity is inherent in all three causes. However, it is believed that a systematic and mathematical approach can minimize the incidence of the domino effect. We considered the case where there were n-explosive facilities in a given arbitrary rectangular facility site. This paper suggests the positions that can minimize the domino effect using a nonlinear approach. The method initiated an arbitrary number of facilities in addition to the original position, and can search for the position to minimize the domino effect. This paper presents a new computer-aided module, MiniFFECT (MINImization of domino eFFECT).
[References]
  1. AIChE CCPS, Guidelines for Chemical Process Quantitative Risk Analysis, 2nd ed., NY, 1999
  2. Bagster DF, Pitblado RM, Trans IChemE, 69, 1991
  3. Birk AM, J. Loss Prev. Process Ind., 9(2), 173, 1996
  4. Cozzani V, Salzano E, J. Hazard. Mater., 107(3), 67, 2004
  5. Delvosalle C, Domino Effects Phenomena: Definition, Overview and Classification, European Seminar on Domino Effects, Leuven, Belgium, Federal Ministry of Employment, Safety Administration, Direction Chemical Risks, Brussels, Belgium, 5-15, 1996
  6. Delvosalle C, Fievez C, Brohez S, A Methodology and a Software(DOMINOXL) for Studying Domino Effects, Chisa 2002, 15th International Congress of Chemical and Process Engineering, pp. 25-29, Praha, Czech Republic, 2002
  7. Dougal D, An Introduction to Fire Dynamics, 2nd ed., JOHN WILEY & SONS, pp. 52-63, 1998
  8. Hauptmanns, J. Loss Prevention, 14, 395, 2001
  9. Health and Safety Commission, The Control of Major Hazards, Third Report of the HSC Advisory Committee on Major Hazards, pp. A8-C2, HMSO, 1984
  10. Holden PL, Reeves AB, IChemE Symp. Series, 93, 1985
  11. Khan FI, Abbasi SA, Environ. Modell. Softw., 13, 163, 1998
  12. Khan FI, Abbasi SA, Process Saf. Prog., 17(2), 107, 1998
  13. Khan FI, Iqbal A, Abbasi SA, J. Loss Prev. Process Ind., 14, 413, 2001
  14. Lees FP, Loss Prevention in the Process Industries, Butterworths, pp. 593-602, 1980
  15. Avriel M, Nonlinear Programming Analysis and Methods, Prentice-Hall, Englewood Cliffs, N. J., 1976
  16. Pietersen CM, J. Hazard. Mater., 20, 1988
  17. Renier G, Dullaert W, Soudan K, A Domino Effect Evaluation Model, EconPapers, Working Papers from Univ. of Antwerp., Faculty of Applied Economics, 2004
  18. Spadoni G, Contini S, Ugoccioni G, Process Saf. Environ. Protect., 81(1), 19, 2003
  19. Uth HJ, Richter B, DISMA, PC-Tools for Implementing the Directive Seveso II, Seminar on 'Software Tools Relevant to Seveso II Directive', Turku, Finland, 13th October, 1999