An approach to solve the facility layout problem based on the worst-case scenario

A new approach to determine the optimal distribution of process facilities is presented in this paper. The formulation considers a set of facilities already installed in a given land and a new set of facilities to be accommodated within the same land. In addition, it is considered that a set of facilities either installed or to be laid out presents the possibility of toxic release. Based on previous analysis, the worst-case scenario implies calm wind and stable atmospheric condition. Since these conditions tend to exist during several days of the year, the proposed model is formulated assuming these deterministic values for wind and atmospheric conditions. The final model is formulated as a disjunctive model that is converted into a mixed-integer non-linear program (MINLP) via the convex-hull method. The model is then solved with local and global optimizers in the GAMS package. Using the current approach based on minimum distances for a particular case study results in a distribution with a very high risk whereas the optimal results using this proposed approach indicate large separations between releasing facilities and the inhabited facilities due to the high toxicity of the released material. More elaboration will be aggregated into the developed model to include prevention and mitigation systems to produce more compact but optimal and safe layouts.

[1]  David J. Leggett Process safety in the future—A view from the chemistry , 2004 .

[2]  F. Gifford,et al.  Use of routine meteorological observations for estimating atmospheric dispersion , 1961 .

[3]  John L. Woodward Improving the effect of atmospheric stability class for dispersion modeling , 1998 .

[4]  B. J. Wiekema Vapour cloud explosions. An analysis based on accidents. Part II , 1984 .

[5]  J. C. Mecklenburgh,et al.  Process plant layout , 1985 .

[6]  Ccps Guidelines for Facility Siting and Layout , 2003 .

[7]  M. Sam Mannan,et al.  Designing plant layouts with toxic releases based on wind statistics , 2008 .

[8]  A. R. Ciric,et al.  An MINLP Approach for Safe Process Plant Layout , 1996 .

[9]  Lazaros G. Papageorgiou,et al.  An MILP Approach to Safe Process Plant Layout , 2004 .

[10]  Donald L. Ermak,et al.  A comparison of dense gas dispersion model simulations with burro series LNG spill test results , 1982 .

[11]  Christian O. Díaz-Ovalle,et al.  Determinación de los Factores del Peor Escenario en la Emisión de Gases Tóxicos , 2009 .

[12]  Asit Kumar Patra Influence of wind speed profile and roughness parameters on the downwind extension of vulnerable zones during dispersion of toxic dense gases , 2006 .

[13]  Srinivasan Jayakumar Chemical plant layout via graph partitioning , 1992 .

[14]  Ana Paula Barbosa-Póvoa,et al.  Optimal two-dimensional layout of industrial facilities , 2001 .

[15]  Abraham Wald,et al.  Statistical Decision Functions , 1951 .

[16]  Lazaros G. Papageorgiou,et al.  A MILP model for N-dimensional allocation , 2007, Comput. Chem. Eng..

[17]  Birgitte Rasmussen,et al.  Comparison of methods of hazard identification at plant level , 1990 .

[18]  Robin K. S. Hankin Major hazard risk assessment over non-flat terrain. Part I: continuous releases , 2004 .

[19]  Ignacio E. Grossmann,et al.  Generalized Convex Disjunctive Programming: Nonlinear Convex Hull Relaxation , 2003, Comput. Optim. Appl..

[20]  Tetsuo Fuchino,et al.  Arrangement of process equipment modules with consideration of plant safety , 1997 .

[21]  Michael Lipsett,et al.  Use of toxicity information in risk assessment for accidental releases of toxic gases , 1992 .

[22]  Ana Paula Barbosa-Póvoa,et al.  Optimal 3D layout of industrial facilities , 2002 .

[23]  Lazaros G. Papageorgiou,et al.  Optimal multi-floor process plant layout , 2002 .

[24]  Spyros Sklavounos,et al.  Validation of turbulence models in heavy gas dispersion over obstacles. , 2004, Journal of hazardous materials.

[25]  René Bañares-Alcántara,et al.  Optimisation of process plant layout using genetic algorithms , 1998 .

[26]  Michael C. Georgiadis,et al.  Optimal Layout Design in Multipurpose Batch Plants , 1997 .

[27]  Matthew J. Realff,et al.  Geographic and process information for chemical plant layout problems , 1999 .

[28]  Daniel A. Crowl,et al.  Chemical Process Safety: Fundamentals with Applications , 2001 .

[29]  Lazaros G. Papageorgiou,et al.  Continuous-Domain Mathematical Models for Optimal Process Plant Layout , 1998 .

[30]  Frank P. Lees,et al.  Loss Prevention In The Process Industries , 1980 .

[31]  Gintaras V. Reklaitis,et al.  Chemical plant layout via graph partitioning—II. Multiple levels , 1996 .

[32]  G. Reklaitis,et al.  Chemical plant layout via graph partitioning-1. Single level , 1994 .

[33]  Michael C. Georgiadis,et al.  A general mathematical programming approach for process plant layout , 1999 .