154
D.Yu. Murzin et al. / Journal of Molecular Catalysis A: Chemical 315 (2010) 148–154
The sum of squares in the parameter estimation was minimized
ucts. Kinetic hypothesis allowed some simplifications, in particular
−6
using a step size of 0.1 and 1 × 10
for the absolute and rela-
that one cycle is selective to linear aldehydes, while the second
one gives stoichiometric amounts of linear and branched products.
A complicated mechanism involving different intermediates was
translated into tractable rate expressions. Numerical data fitting
was performed and it was concluded that the advanced kinetic
model, based on mechanistic considerations, describes well exper-
imental data, in particular regioselectivity. At the same time it
should be noted that the general kinetic scheme was somewhat
simplified while deriving kinetic equations by assuming one rate-
determining step in each catalytic route, which was justified by the
obtained kinetic regularities. For more complicated kinetics, these
simplifications could be relaxed.
tive tolerances of the simplex and Levenberg–Marquardt optimizer,
starting with the former method and changing to the latter one
while approaching the minimum.
Comparison between estimated and calculated values is given
in Fig. 5, showing very good description of the data. The degree of
explanation was 94% and sum of residuals was 1.65. The values of
the estimated parameters, the estimated relative standard errors
in %) are shown in Table 1.
The value of activation energy for hydroformylation for Rh com-
plexes was reported to be 71 kJ/mol for octene [10], and 116 kJ/mol
for hexene [11], while for propene the value of activation energies
for hydroformylation with supported ionic liquid phase catalyst was
(
6
3 kJ/mol [12], which is very close to the theoretical values [4] as
Acknowledgements
well as those experimentally obtained in the present study.
The table demonstrates that the parameters are well
This work is a part of activities with Process Chemistry Centre
(2000–2011) by Academy of Finland. The authors are grateful to Pro-
fessor Dieter Vogt (Eindhoven University of Technology) for many
useful comments and suggestions.
ꢂ
ꢂ
ꢂ
2
ꢂ
identified. The objective function SRS = l(ꢀ) = y − yp
=
w
nsetsnobs(k)nydata(j,k)
ꢃ ꢃ
ꢃ
2
(
yijk − ypijk) w dependence for the parameters
ijk
k=1 j=1
i=1
References
is given in Fig. 6, while Fig. 7 displays contour plots, proposing that
there is practically no correlation between parameters.
[1] P.W.N.M. Van Leeuwen, C. Claver, Rhodium Catalyzed Hydroformylation,
Kluwer Academic Publishers, Dordrecht, Netherlands, 2000;
J. Falbe, New Syntheses with Carbon Monoxide, Springer Verlag, Berlin, 1980;
M. Torrent, M. Sola, G. Frenking, Chem. Rev. 100 (2000) 439.
4
. Conclusions
[2] M. Beller, B. Cornils, C.D. Frohning, C.W. Kohlpaintner, J. Mol. Catal. A 104 (1995)
17.
Experimental data on propene hydroformylation to linear and
[
3] J.A. Moulijn, M. Makkee, A. van Diepen, Chemical Process Technology, Wiley,
Chichester, 2001.
branched aldehydes with rhodium triphenylphosphine catalyst
were obtained by varying hydrogen and CO partial pressure and
were compared with a mechanistic model. The reaction orders in
hydrogen, CO and alkene are equal to unity. The regioselectivity
was independent on the concentration of reactants, specifically that
of carbon monoxide, displaying minor dependence on the ligand
concentration.
The mechanism for alkenes hydroformylation was proposed in
accordance with literature data and experimental observations in
order to account for kinetics of this reaction. The reaction net-
work was supposed to contain two mechanistically different cycles,
each of them could in principle lead to linear and branched prod-
[4] E. Zuidema, E. Daura-Oller, J.J. Carbo, C. Bo, P.W.N.M. Leeuwen, Organometallics
6 (2007) 2234.
2
[
5] A. Bernas, P. Mäki-Arvela, J. Lehtonen, T. Salmi, D.Yu. Murzin, Ind. Eng. Chem.
Res. 47 (2008) 4317.
[6] M.I. Temkin, Adv. Catal. 28 (1979) 173.
7] D.Yu. Murzin, T. Salmi, Catalytic Kinetics, Elsevier, Amsterdam, 2005.
8] H. Haario, Modest User’s Guide, Profmath, Helsinki, 2001.
9] C. Still, T. Salmi, P. Mäki-Arvela, K. Eränen, D.Yu. Murzin, J. Lehtonen, Chem. Eng.
Sci. 61 (2006) 3698.
[10] U.J. Jáuregui-Haza, E. Pardillo-Fontdevila, Ph. Kalck, A.M. Wilhelm, H. Delmas,
Catal. Today 79–80 (2003) 409.
[
[
[
[
[
11] R.M. Deshpande, R.V. Chaudhari, Ind. Eng. Chem. Res. 27 (1988) 1996.
12] A. Riisager, R. Fehrmann, M. Haumann, B.S.K. Gorle, P. Wasserscheid, Ind. Eng.
Chem. Res. 44 (2005) 9853.