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1. 2. 3. 4. © Dynamic Simulation And Control Of The Bayer Process. A Review Sidrak, YL AMER CHEMICAL SOC, INDUSTRIAL ENGINEERING CHEMISTRY RESEARCH; pp:

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Presentation on theme: "1. 2. 3. 4. © Dynamic Simulation And Control Of The Bayer Process. A Review Sidrak, YL AMER CHEMICAL SOC, INDUSTRIAL ENGINEERING CHEMISTRY RESEARCH; pp:"— Presentation transcript:

1 1. 2. 3. 4. © Dynamic Simulation And Control Of The Bayer Process. A Review Sidrak, YL AMER CHEMICAL SOC, INDUSTRIAL ENGINEERING CHEMISTRY RESEARCH; pp: 1146-1156; Vol: 40 King Fahd University of Petroleum & Minerals http://www.kfupm.edu.sa Summary In the Bayer process, used for the production of alumina from the bauxite ores, there are frequent disturbances and a large number of interacting processes which incorporate considerable dead time. The challenge to any alumina refinery is to maximize the production of alumina (plant now and yield) and minimize the energy costs per ton of alumina subject to constraints on liquor sodium oxalate concentration, levels of silica in liquor, digester ratio, mud washer dilution, and particle size distribution in precipitation. In addition, liquor inventories and the surge volume must be maintained within high and low limits. As a result, steady-state operation is difficult to attain, and the refinery, in general, does not run at its optimal operating conditions. There are, however, major economic incentives, typically in excess of several million dollars per year, to stabilize the operation of the plant, and cost competitiveness is one crucially important strategic factor in the alumina industry. Bayer process simulation and process control are two important tools available for use by management, and process engineers to evaluate and improve performance in their plants. This paper reviews the current simulation and control technologies in alumina refineries and the basis for the application of advanced control to various processes within a refinery. References: ANDERSON AA, 1959, CHEM ENG1102, P75 AUDET DR, 1988, P SESS AIME 118 ANN, P21 AUDET DR, 1992, P SESS 121 TMS ANN M, P1315 BOX GEP, 1976, TIME SERIES ANAL FOR Copyright: King Fahd University of Petroleum & Minerals; http://www.kfupm.edu.sa

2 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20. 21. 22. 23. 24. 25. 26. 27. 28. 29. 30. 31. 32. 33. 34. 35. 36. 37. 38. 39. 40. 41. 42. 43. 44. 45. 46. 47. 48. 49. © BRUNOVSKY P, 1970, KYBERNETIKA, V6, P173 CANNEY WM, 1985, IND ENG CHEM PROC DD, V25, P102 CHAPMAN JA, 1989, P 120 TMS ANN M NEW, P21 COE HB, 1916, T AM I MIN MET ENG, V55, P356 COLOMBE P, 1987, P LIGHT MET SESS AIM, P27 COMPO PJ, 1989, AICHE J, V35, P579 CRAMA WJ, 1984, P 123 ANN M LIGHT ME, P73 DALEN V, 1972, P PITTSB C AN CHEM A DONALDSON DJ, 1991, P 120 TMS ANN M WARR, P73 DUARTE R, 1987, LIGHT METALS 87, P51 FAY L, 1984, CAN J CHEM ENG, V62, P672 FITCH B, 1975, FILTR SEP 3 JUL, P636 FITCH B, 1975, FILTR SEP I JUL, P355 FREEMAN N, 1998, P SESS TMS ANN M WAR, P65 FRIEDMAN YZ, 1994, HYDROCARB PROCESS, V73, P101 GRONEWEG P, 1980, THESIS MCMASTER U CA HAUNSLOW MJ, 1988, AICHE J, V34, P1821 HESKETH T, 1993, AUTOMATICA, V29, P851 HOFFMAN TW, 1975, P S COMP DES ER CHEM, P451 HOKANSON J, 1992, P 121 TMS ANN M SAN, P39 HUNT LRK, 1983, DIFFERENTIAL GEOMETR ISIDORI A, 1989, NONLINEAR CONTROL SY KIRANOUDIS CT, 1997, METALL MATER TRANS B, V28, P785 KOHNO T, 1984, LIGHT METALS 8J, P63 KORCHINSKI WJ, 1995, HYDROCARB PROCESS, V74, P65 KRAVARIS C, 1990, AICHE J, V36, P249 KRAVARIS C, 1990, IND ENG CHEM RES, V29, P2295 LALANCETTE A, 1998, P SESS TMS ANN M WAR, P69 LANGA JM, 1986, P TECHN SESS 115 TMS, P169 LANGA JM, 1989, P SESS AIME ANN M LA, P9 LEE PL, 1991, COMPUT CHEM ENG, V15, P191 LEE PL, 1993, NONLINEAR PROCESS CO LEPAGE GP, 1992, P CONTR 92 PERTH AUS, P123 LEPAGE GP, 1998, J PROCESS CONTR, V8, P287 LESLIE RA, 1977, P 15 APCOM S BRISB A, P137 MACDONALD W, 1998, P SESS TMS ANN M WAR, P73 MCDONALD KA, 1986, AICHE J, V32, P75 MCINTOSH P, 1987, LIGHT METALS 87, P59 MILLS P, 1988, THESIS U QUEENSLAND MILLS PM, 1991, AUTOMATICA, V27, P441 MISRA C, 1970, CHEM ENG PROG S SER, V110, P53 MISRA C, 1970, CHEMECA 70, P52 MULLER TB, 1979, P AIME LIGHT MET C, P3 OSTAP S, 1986, CAN METALL Q, V25, P101 PEATE J, 1985, PROCESS ENG, V66, P51 Copyright: King Fahd University of Petroleum & Minerals; http://www.kfupm.edu.sa

3 50. 51. 52. 53. 54. 55. 56. 57. 58. 59. 60. 61. © PORTER JL, INTERPRETATION SETTL, P95 RIFFAUD JP, 1973, P 3 IFAC S ID SYST P SEBORG DE, 1989, PROCESS DYNAMICS CON SIDRAK YL, 1995, ARAB J SCI ENG, V20, P481 SIDRAK YL, 1996, CONTROL ENG PRACT, V4, P331 SIDRAK YL, 1997, CONTROL ENG PRACT, V5, P1417 SIDRAK YL, 1998, IND ENG CHEM RES, V37, P1404 SMITH OJM, 1957, CHEMICAL ENGINEERING, V53, P217 STEEMSON ML, 1984, P AIME LIGHT MET C, P237 THE PJ, 1987, P SESS TMS ANN M WAR, P5 TO LC, 1995, J PROCESS CONTR, V5, P173 TO LC, 1998, J PROCESS CONTR, V8, P265 For pre-prints please write to: abstracts@kfupm.edu.sa Copyright: King Fahd University of Petroleum & Minerals; http://www.kfupm.edu.sa


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