Data reconciliation for real-time optimization of an industrial coke-oven-gas purification process

Simulation Modelling Practice and Theory

Volumn 14, Issue 8, 2006, Pages 1121-1134

  Faber, Richard ^a   Li, Bo ^a   Li, Pu ^b   Wozny, Günter ^a  

^a TECHNISCHE UNIVERSITÄT BERLIN   (Germany)

^b ILMENAU UNIVERSITY OF TECHNOLOGY   (Germany)

Author keywords

Data reconciliation; Model based parameter estimation; Online optimization; Robust estimation

Indexed keywords

DATA ACQUISITION; MATHEMATICAL MODELS; ONLINE SYSTEMS; OPTIMIZATION; REAL TIME SYSTEMS; SET THEORY;

DATA RECONCILIATION; MODEL-BASED PARAMETER ESTIMATION; ONLINE OPTIMIZATION; ROBUST ESTIMATION;

GAS FUEL PURIFICATION;

EID: 33751245110     PISSN: 1569190X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.simpat.2006.09.005     Document Type: Article

References (20)

1. Albuquerque J.S., and Biegler L.T. Data reconciliation and gross-error detection for dynamic systems. AIChE J.l 42 10 (1996) 2841-2856
2. Billet R., and Schultes M. Predicting mass transfer in packed columns. Chem. Eng. Technol. 16 1 (1993) 1
3. Crowe C.M., Garcia Campos Y.A., and Hyrmak A. Reconciliation of process flow rates by matrix projection. Part I: Linear case. AIChE J. 29 6 (1983) 881-888
4. Crowe C.M. Reconciliation of process flow rates by matrix projection. Part II: Nonlinear case. AIChE J. 32 4 (1986) 616-623
5. Dovi V.G., and Paladino O. Fitting of experimental data to implicit models using a constrained variation algorithm. Comput. Chem. Eng. 13 (1989) 731-735
6. Esposito W.R., and Floudas C.A. Global optimization in parameter estimation of nonlinear algebraic models via the error-in-variable approach. Ind. Eng. Chem. Res. 37 (1998) 1841-1858
7. Faber R., Li P., and Wozny G. Sequential parameter estimation for large-scale systems with multiple data sets. Part I: Computational framework. Ind. Eng. Chem. Res. 42 23 (2003) 5850-5860
8. Faber R., Li P., and Wozny G. Sequential parameter estimation for large-scale systems with multiple data sets. Part II: Application to an industrial coke-oven-gas purification process. Ind. Eng. Chem. Res. 43 15 (2004) 4350-4362
9. Fair R.C. On the robust estimation of economic models. Ann. Econ. Social Meas. 3 (1974) 667-677
10. Gau C.Y., and Stadtherr M.A. Deterministic global optimization for error-in-variables parameter estimation. AIChE J. 48 6 (2002) 1192-1197
11. Hoogendorn G.C., Abellon R.D., Essens P.J.M., and Wesselingh J.A. Desorption of volatile electrolytes in a tray column (sour water stripping). Chem. Eng. Res. Des. 66 (1988) 483-502
12. Huber P.J. Robust Statistics (1980), Wiley, New York
13. Kim I.-W., Liebmann M.J., and Edgar T.F. Robust error-in-variables estimation using nonlinear programming techniques. AIChE J. 36 7 (1990) 985-993
14. Li B., Chen B., Duan D., and Kong M. Correction coefficient method for gross error detection based on temporal redundancy. Qinghua Daxue Xuebao, Ziran Kexueban 40 10 (2000) 65-69
15. Özyurt D.B., and Pike R.W. Theory and practice of simultaneous data reconciliation and gross error detection for chemical processes. Comput. Chem. Eng. 28 (2004) 381-402
16. Rey W.J.J. Introduction to Robust and Quasi-robust Statistical Methods (1983), Springer Verlag, Berlin/New York
17. R. Thiele, G. Wozny, Consideration of maldistribution in an online model for a gas treatment control system for chemical absorption and desorption in packed columns, in: ECCE, Granada, 2003.
18. H. Thielert, Simulation und Optimierung der Kokereigasreinigung, Ph.D. Thesis, Institut für Prozess- und Anlagentechnik, TU Berlin, 1997.
19. Tjoa I.B., and Biegler L.T. Simultaneous strategies for data reconciliation and gross error detection of nonlinear systems. Comput. Chem. Eng. 15 10 (1991) 679-690
20. Veverka V.V., and Mardon F. Material and energy balancing in the process industries: from microscopic balances to large plants. Computer Aided Chemical Engineering Series vol. 7 (1997), Elsevier, Amsterdam