360
tubes of the high-throughput setup. Table 1 presents the operating
conditions applied during the corresponding experiments, aiming
to compare the performance of the mentioned catalysts and to
investigate temperature, pressure and inlet composition effects on
the hydroformylation reaction behaviour.
hydrido-metal species in solution. They reported that the transfor-
mation of the acyl-metal species to the aldehyde, see steps 6 and 7
tive addition of molecular hydrogen to an acyl-metal species is the
only way for aldehyde formation [7,23].
It is accepted today that Wilkinson’s mechanism is the most
assumed that carbon monoxide does not dissociate on the catalyst
surface. The absence of a CO dissociation step in ethylene hydro-
formylation on silica supported rhodium catalysts is also reported
by Hanaoka et al. [14]. These authors observed that the CO inser-
hydroformylation that controls the selectivity towards oxygenated
products.
Considering the above discussion, a reaction mechanism for
ethylene heterogeneous hydroformylation is proposed in what fol-
lows, see Fig. 3. It includes two parallel reaction pathways, starting
from a metal bound alkyl that is obtained after ethylene chemisorp-
tion on the metal surface. The first, and in hydroformylation desired
pathway, involves CO insertion and leads to aldehyde or alcohol
formation. The second of the parallel pathways is ethylene hydro-
genation into ethane. In this mechanism, the same hydrogen and
ethylene surface species are involved in the formation of both
ethane and propanal.
bond dissociation in the produced aldehydes or by CO bond dis-
sociation and subsequent C hydrogenation to methylene prior to
insertion in a metal alkyl species, as it may occur in Fischer–Tropsch
synthesis [25–27]. Not only historically, but also mechanistically,
to Fischer–Tropsch synthesis. In fact, the reaction of ethylene with
syngas has already been used as a probe reaction to study the activ-
ity and selectivity in the Fischer–Tropsch process on supported
transition metals [9].
Online effluent analysis was performed with a four channel
Agilent 3000 micro gas chromatograph equipped with thermal con-
ductivity detectors (TCDs). Hydrogen, and carbon monoxide were
analysed on a molar sieve 5A PLOT column of 10 m length and
0.32 inner diameter with a film thickness of 12 m, while ethyl-
ene and ethane are detected on a PLOT U column of 8 m length
and 0.32 inner diameter with a film thickness of 30 m. Heavy
hydrocarbons can be detected in an Alumina PLOT column of 10 m
length and 0.32 mm inner diameter with a film thickness of 8 m.
Propanal, propanol and other oxygenates are only detected on the
OV-1 column of 10 m length and 0.15 mm inner diameter with a
film thickness of 2 m. Argon was added as an internal standard
for the purpose of mass balance verification. The maximum error
of mass balance was less than 10% while most of the error values
were below 5%. The elemental balances were also verified and the
deviations were in line with those on the total mass balance. The
conversions and product molar flow rates were calculated using
calibration factors as reported by Dietz [19].
Long-term catalyst stability was assessed by repeating a refer-
ence experiment at regular time intervals, i.e., one every few days.
Typically the catalyst activity could be maintained for 3–4 weeks,
after which the catalyst was replaced by a fresh sample. The selec-
tivity towards a product P, Sp, was defined as the number of moles
transformed into that product, Fp, compared to the total number of
ethylene moles converted:
Fp
Sp
=
(1)
FC ,0 − FC
H
H
4
2
4
2
In order to compare the performance of the mentioned cata-
lysts under identical experimental conditions the conversions were
reported versus the so-called site time, which is obtained from the
space time by accounting for the metal loading and the fraction of
exposed metal atoms, as well as for atomic mass.
Because this comprehensive mechanism allows describing the
formation of all hydroformylation products observed in this work,
i.e., aldehydes and alcohols, as well as ethane, it is further used in
the assessment of the kinetic data.
space time × metal loading
site time =
× FE
(2)
MM
4. Results and discussion
The fraction exposed was obtained from the relation between
the particle size and dispersion as shown in Eqs. (3) and (4) [20].
dVS
dat
5.01
FE
drel(VS)
=
=
for FE < 0.2
(3)
4.1.1. BET Surface area
The BET surface areas for the investigated catalysts are reported
in Table 2. Only minor differences are observed between the cata-
lysts considered, indicating that the Al2O3 support is governing the
observed surface areas. Nevertheless, as may have been expected,
the catalyst with highest metal loading exhibits the lowest surface
area.
dVS
dat
3.32
FE1.23
drel(VS)
=
=
(4)
It was verified by using the proper correlations, that at the
selected operating conditions so-called intrinsic kinetics are mea-
sured, i.e., the observations are not affected by mass or heat
transfer limitations [21]. Of course, upon extrapolation towards the
industrial scale, potential mass and heat transport effects must be
accounted for.
4.1.2. TEM analysis
The presence of Rh and Co on the investigated catalyst samples
was confirmed first by scanning transmission electron microscopy
(STEM) coupled with energy dispersive X-ray (EDX). The corre-
sponding pictures are given in Fig. 4a for 5%Rh on Al2O3, Fig. 4 for
3. Heterogeneous ethylene hydroformylation reaction
network
Table 2
The most generally reported products for ethylene hydro-
formylation, in descending order of importance, are ethane,
propanal, propanol and small amount of C3+ hydrocarbon prod-
ucts [7,10,12,13,16,22]. According to Henrici-Olivé and Olivé [23]
the key difference between the homogeneous and the heteroge-
neous reactions is the presence of a free, mobile and very reactive
BET surface area for the Rh and Co based catalysts used in this work.
Catalyst
BET surface area (m2/g)
5%Rh/Al2O3
0.5%Rh–0.5%Co/Al2O3
1%Co/Al2O3
120
147
143