Detailed kinetic models in the context of reactor analysis: Linking mechanistic and process chemistry

Citation
Pv. Joshi et al., Detailed kinetic models in the context of reactor analysis: Linking mechanistic and process chemistry, ENERG FUEL, 13(6), 1999, pp. 1135-1144
Citations number
15
Categorie Soggetti
Environmental Engineering & Energy
Journal title
ENERGY & FUELS
ISSN journal
08870624 → ACNP
Volume
13
Issue
6
Year of publication
1999
Pages
1135 - 1144
Database
ISI
SICI code
0887-0624(199911/12)13:6<1135:DKMITC>2.0.ZU;2-W
Abstract
Detailed kinetic models for the modeling of complex chemistries, including thermal cracking, catalytic reforming, catalytic cracking, and hydroprocess ing, offer the compelling advantage chemical significance at the mechanisti c level. They carry a considerable burden, however, in terms of species, re actions, and associated rate parameters. This, together with the batch and the plug flow reactor balances, requires solution of a large system of eith er stiff ordinary differential equations (ODE) or stiff differential algebr aic equations (DAE), for both homogeneous and heterogeneous processes. It i s often faster numerically to solve a stiff system of ODEs and, thus, it ca n be useful to convert a system of DAEs to ODEs for numerical solution sche mes. For heterogeneous PFR systems, the reactor steady-state balances resul t in a set of DAEs, and it would therefore be desirable to construct the as sociated set of ODEs to minimize CPU demand. To this end, we propose that s uch a transformation can be achieved by making the "flowing surface species " approximation. This involves approximating the overall rate of reaction o f surface species, which is identically equal to zero at reactor steady sta te, by a spatial derivative. We show that this approximation becomes better as the system of equations becomes stiffer, and, hence, is a reverse analo gy of the kinetic steady-state approximation in the case of batch systems. To validate the proposition, we analyze various contrived and real examples of mechanistic kinetics for heterogeneous systems.