Open AccessRecent extensions of the residence time distribution concept: unsteady state conditions and hydrodynamic model developments
Author(s) -
Stéphanie Claudel,
Jean Leclerc,
L. Tétar,
H.G. Lintz,
Anthony Bernard
Publication year - 2000
Publication title -
brazilian journal of chemical engineering/brazilian journal of chemical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.313
H-Index - 52
eISSN - 1678-4383
pISSN - 0104-6632
DOI - 10.1590/s0104-66322000000400059
Subject(s) - residence time distribution , mixing (physics) , representation (politics) , plug flow , flow (mathematics) , simple (philosophy) , residence time (fluid dynamics) , statistical physics , mechanics , plug flow reactor model , process (computing) , series (stratigraphy) , extension (predicate logic) , transient (computer programming) , set (abstract data type) , dispersion (optics) , distribution (mathematics) , mathematics , computer science , physics , engineering , mathematical analysis , continuous stirred tank reactor , geology , philosophy , law , optics , operating system , paleontology , epistemology , quantum mechanics , political science , programming language , geotechnical engineering , chemical engineering , politics
Two recent extensions of the residence time distribution concept are developed. The first one concerns the use of this method under transient conditions, a concept theoretically treated but rarely confirm by relevant experiments. In the present work, two experimental set-ups have been used to verify some limits of the concept. The second extension is devoted to the development of hydrodynamic models. Up to now, the hydrodynamics of the process are either determined by simple models (mixing cells in series, plug flow reactor with axial dispersion) or by the complex calculation of the velocity profile obtained via the Navier-Stokes equations. An alternative is to develop a hydrodynamic model by use of a complex network of interconnected elementary reactors. Such models should be simple enough to be derived easily and sufficiently complex to give a good representation of the behavior of the process