Extents of reaction and flow for homogeneous reaction systems with inlet and outlet streams

AIChE Journal

Volumn 56, Issue 11, 2010, Pages 2873-2886

  Amrhein, Michael ^a   Bhatt, Nirav ^a   Srinivasan, Balasubrahmanyan ^b   Bonvin, Dominique ^a  

^a EPFL   (Switzerland)

^b ÉCOLE POLYTECHNIQUE DE MONTRÉAL   (Canada)

Author keywords

Extent of outlet flow; Extents of inlet flow; Extents of reaction; Homogeneous reaction systems; Inlet flow variants; Reaction invariants; Reaction variants

Indexed keywords

EXTENTS OF INLET FLOW; EXTENTS OF REACTION; HOMOGENEOUS REACTION; INLET-FLOW VARIANTS; OUTLET FLOWS; REACTION INVARIANTS; REACTION VARIANTS;

CHLORINE COMPOUNDS; INTAKE SYSTEMS; LINEAR TRANSFORMATIONS;

INLET FLOW;

INSECTIVORA;

EID: 77956067762     PISSN: 00011541     EISSN: 15475905     Source Type: Journal    
DOI: 10.1002/aic.12125     Document Type: Article

References (26)

1. Croce AE. The application of the concept of extent of reaction. J Chem Educ. 2002; 79: 506-509.
2. Schmitz G. What is a reaction rate? J Chem Educ. 2005; 82: 1091-1093.
3. rd ed. John Wiley & Sons, Inc., New York, 2005.
4. Canagaratna S. The use of extent of reaction in introductory courses. J Chem Educ. 2000; 77: 52-54.
5. Waller KV, Mäkilä PM. Chemical reaction invariants and variants and their use in reactor modeling, simulation, and control. Ind Eng Chem Proc D D. 1981; 20: 1-11.
6. Asbjørnsen OA, Fjeld M. Response modes of continuous stirred tank reactors. Chem Eng Sci. 1970; 25: 1627-1639.
7. Fjeld M, Asbjørnsen OA, Åström KJ. Reaction invariants and their importance in the analysis of eigenvectors, state observability and controllability of the continuous stirred tank reactor. Chem Eng Sci. 1974; 29: 1917-1926.
8. Srinivasan B, Amrhein M, Bonvin D. Reaction and flow variants/invariants in chemical reaction systems with inlet and outlet streams. AIChE J. 1998; 44: 1858-1867.
9. Bonvin D, Rippin DWT. Target factor analysis for the identification of stoichiometric models. Chem Eng Sci. 1990; 45: 3417-3426.
10. Amrhein M, Srinivasan B, Bonvin D, Schumacher MM. On the rank deficiency and rank augmentation of the spectral measurement matrix. Chemometr Intell Lab. 1996; 33: 17-33.
11. Amrhein M, Srinivasan B, Bonvin D, Schumacher MM. Calibration of spectral reaction data. Chemometr Intell Lab. 1999; 46: 249-264.
12. Bardow A, Marquardt W. Incremental and simultaneous identification of reaction kinetics: methods and comparison. Chem Eng Sci. 2004; 59: 2673-2684.
13. Brendel M, Bonvin D, Marquardt W. Incremental identification of kinetic models for homogeneous reaction systems. Chem Eng Sci. 2006; 61: 5404-5420.
14. Vora N, Daoutidis P. Nonlinear model reduction of chemical reaction systems. AIChE J. 2001; 47: 2320-2332.
15. Okino SM, Mavrovouniotis ML. Simplification of mathematical models of chemical reaction systems. Chem Rev. 1998; 98: 391-408.
16. Edwards K, Edgar TF. Reaction set simplification using variable selection techniques. Chem Eng Sci. 2000; 55: 551-572.
17. Kramer MA, Rabitz H, Calo JM, Kee RJ. Sensitivity analysis in chemical kinetics: recent developments and computational comparisons. Int J Chem Kinet. 1984; 16: 559-578.
18. Song J, Stephanopoulos G, Green WH. Valid parameter range analyses for chemical reaction kinetic models. Chem Eng Sci. 2002; 57: 4475-4491.
19. Sulieman H, Kucuk I, McLellan PJ. Parametric sensitivity: a case study comparison. Biotechnol Bioeng. 2009; 53: 2640-2652.
20. Bernard O, Hadj-Sadok Z, Dochain D, Genovesi A, Steyer JP. Dynamical model development and parameter identification for an anaerobic wastewater treatment process. Biotechnol Bioeng. 2001; 75: 424-438.
21. Maria G. A review of algorithms and trends in kinetic model identification for chemical and biochemical systems. Chem Biochem Eng Q. 2004; 18: 195-222.
22. Amrhein M, Srinivasan B, Bonvin D. Target factor analysis of reaction data: use of data pre-treatment and reaction-invariant relationships. Chem Eng Sci. 1999; 54: 579-591.
23. th International ed. New York: McGraw-Hill. 1997.
24. Gerdtzen ZP, Daoutidis P, Hu W. Non-linear reduction for kinetic models of metabolic reaction networks. Metab Eng. 2004; 6: 140-154.
25. Kristensen NR, Madsen H, Jørgensen SB. A method for systematic improvement of stochastic grey-box models. Comput Chem Eng. 2004; 28: 1431-1449.
26. de Vallière PRL. State and Parameter Estimation in Batch Reactors for the Purpose of Inferring On-line the Rate of Heat Production. Doctoral thesis no. 8847, ETH Zürich, Switzerland, 1989.