Modelling and on-line estimation of zinc sulphide precipitation in a continuously stirred tank reactor

Separation and Purification Technology

Volumn 63, Issue 3, 2008, Pages 654-660

  Grootscholten, Tim ^a   Keesman, Karel ^a   Lens, Piet ^b  

^a WAGENINGEN UNIVERSITY   (Netherlands)

^b UNESCO IHE INSTITUTE FOR WATER EDUCATION   (Netherlands)

Author keywords

Dynamics analysis; Mathematical modelling; Metal removal; Observers; Zinc

Indexed keywords

CONCENTRATION (PROCESS); MAXIMUM LIKELIHOOD ESTIMATION; METAL RECOVERY; PRECIPITATION (CHEMICAL); SENSOR NETWORKS; SULFUR COMPOUNDS; TANKS (CONTAINERS); ZINC; ZINC SULFIDE;

DYNAMICS ANALYSIS; MATHEMATICAL MODELLING; METAL REMOVAL; OBSERVERS;

MODAL ANALYSIS;

EID: 53949084015     PISSN: 13835866     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.seppur.2008.07.004     Document Type: Article

References (21)

1. Huisman J.L., Schouten G., and Schultz C. Biologically produced sulphide for purification of process streams, effluent treatment and recovery of metals in the metal and mining industry. Hydrometallurgy 83 1-4 (2006) 106-113
2. Tabak H.H., Scharp R., Burckle J., Kawahara F.K., and Govind R. Advances in biotreatment of acid mine drainage and biorecovery of metals: 1. Metal precipitation for recovery and recycle. Biodegradation 14 (2003) 423-436
3. 2-) concentration for optimal zinc removal by sulphide precipitation in a continuously stirred tank reactor. Water Res. 37 (2003) 3709-3717
4. Veeken A.H.M., de Vries S., van der Mark A., and Rulkens W.H. Selective precipitation of heavy metals as controlled by a sulphide-selective electrode. Sep. Sci. Technol. 38 1 (2003) 1-19
5. Al-Tarazi M., Heesink A.B.M., Azzam M.O.J., Yahya S.A., and Versteeg G.F. Crystallization kinetics of ZnS precipitation; an experimental study using the mixed-suspension-mixed-product-removal (MSMPR) method. Cryst. Res. Technol. 39 (2004) 675-685
6. Al-Tarazi M., Heesink A.B.M., and Versteeg G.F. Effects of reactor type and mass transfer on the morphology of CuS and ZnS crystals. Cryst. Res. Technol. 40 (2005) 735-740
7. Esposito G., Veeken A., Weijma J., and Lens P.N.L. Effect of the use of biogenic sulphide on ZnS precipitation under different process conditions. Sep. Purif. Technol. 51 (2006) 31-39
8. König J., Keesman K.J., Veeken A., and Lens P.N.L. Dynamic modelling and process control of ZnS precipitation. Sep. Sci. Technol. 41 (2006) 1025-1042
9. R. Sampaio, N. Kocks, R. Timmers, X. Ying, K.J. Keesman, P.N.L. Lens, Selective precipitation of Cu from Zn in a continuously stirred tank reactor, J. Hazard. Mater., Accepted for publication.
10. J. König, Zinc precipitation with biogenic sulphide in a two-stage process, M.Sc. Thesis, Wageningen University, The Netherlands, 2002.
11. Keesman K.J. State and parameter estimation in biotechnical batch reactors. Control Eng. Pract. 10 2 (2002) 219-225
12. Dochain D. State and parameter estimation in chemical and biochemical processes: a tutorial. J. Process Control 13 8 (2003) 801-818
13. Luenberger D.G. An introduction to observers. IEEE Trans. Autom. Control 16 6 (1971) 596-602
14. Zeitz M. The extended Luenberger observer for nonlinear systems. Syst. Control Lett. 9 2 (1987) 149-156
15. T.I.M. Grootscholten, K.J. Keesman, P. Lens, On-line estimation of the dissolved zinc concentration during ZnS precipitation in a CSTR, in: Proceedings of 3rd International IWA Conference on Automation in Water Quality Monitoring, Ghent, Belgium, (2007) Paper S7-3.
16. R. Sampaio, K.J. Keesman, P. Lens, Monitoring ZnS precipitation: estimation, error analysis and experiment design, in preparation.
17. Young P.C. Recursive Estimation and Time-Series Analysis (1984), Springer-Verlag, Berlin and New York
18. Norton J.P. An Introduction to Identification (1986), Academic Press
19. Keesman K.J., and Stigter J.D. Optimal parametric sensitivity control for the estimation of kinetic parameters in bioreactors. Math. BioSc. 179 (2002) 95-111
20. Stigter J.D., and Keesman K.J. Optimal parametric sensitivity control of a fed-batch reactor. Automatica 40 8 (2004) 1459-1464
21. Stigter J.D., Vries D., and Keesman K.J. On adaptive optimal input design: a bioreactor case study. AIChE J. 52 9 (2006) 3290-3296