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Abstract

The feasibility of an industrial-scale, acid-catalyzed process for etherification of glycerol with i-butene is analyzed. A simplified mass balance of the process is derived using a kinetic model for the reactor and black-box model for the separation section. Degree of freedom analysis is used to suggest plantwide control structures. Sensitivity analysis of the steady state model shows that the system exhibits both state multiplicity and regions where no solution exists. The nominal operating point is chosen to avoid high sensitivity to disturbances and to guarantee feasibility when operation and design parameters change or are uncertain. Detailed design is performed using AspenPlus. The stability and robustness in operation are checked by rigorous dynamic simulation in AspenDynamics.
BULETINUL INSTITUTULUI POLITEHNIC DIN IAŞI
Publicat de
Universitatea Tehnică „Gheorghe Asachi” din Iaşi
Tomul LVI (LX), Fasc. 4, 2010
SecŃia
CHIMIE şi INGINERIE CHIMICĂ
INTEGRATED DESIGN AND CONTROL OF GLYCEROL
ETHERIFICATION PROCESSES
BY
ELENA VLAD, COSTIN SORIN BILDEA and GRIGORE BOZGA
Abstract. The feasibility of an industrial-scale, acid-catalyzed process for
etherification of glycerol with i-butene is analyzed. A simplified mass balance of the
process is derived using a kinetic model for the reactor and black-box model for the
separation section. Degree of freedom analysis is used to suggest plantwide control
structures. Sensitivity analysis of the steady state model shows that the system exhibits
both state multiplicity and regions where no solution exists. The nominal operating point
is chosen to avoid high sensitivity to disturbances and to guarantee feasibility when
operation and design parameters change or are uncertain. Detailed design is performed
using AspenPlus. The stability and robustness in operation are checked by rigorous
dynamic simulation in AspenDynamics
.
Key words: glycerol ethers, process design, process control, nonlinear behavior.
1. Introduction
A recent European Union directive 0 requires that, by the end of the
year 2010, traffic fuels should contain 5.25% of components produced from
renewables. The amount of glycerol obtained as by-product in biodiesel
production is equivalent to about 10% wt. of the total product. As a result to the
increasing availability, the market price of glycerol has dropped rapidly.
Therefore, new uses for glycerol need to be found. Although glycerol could be
burnt as a fuel, it could also be processed into more valuable components.
Di- and tri-ethers of glycerol are compounds soluble in diesel and
biodiesel, improving the quality of the fuel 0. They diminish the emissions of
particulate matter, carbon oxide and carbonyl compounds. Moreover, they
decrease the cloud point of the fuel when combined with biodiesel. Therefore,
140
Elena Vlad, Costin Sorin Bildea and Grigore Bozga
ethers of glycerol are interesting alternatives to commercial oxygenate additives
such as MTBE, ETBE or TAME. Ethers of glycerol can be obtained by
etherification with olefins and alcohols (Fig. 1) such as i-butene and i-butanol or
by trans-esterification with another ether such as methyl-tert-butyl ether.
H
2
C OH
HC OH
H
2
C OH
G
+ O
DE
+
O
H
2
C OH
HC OH
H
2
C O R
H
2
C O
R
HC OH
H
2
C O R
+ O
H
2
C O R
HC O R
H
2
C O R
ME TE
Fig. 1 – Etherification of Glycerol with Olefines. G – glycerol; O – olefin;
ME – mono-ether; DE – di-ether; TE – tri-ether.
Reaction of i-butene with glycerol in presence of homogeneous 0 or
heterogeneous 0, 0 acid catalysts yields a mixture of mono-, di-, and tri-tert-
butyl glycerol ethers. Conceptual processes which could be used to perform this
transformation are described in references 0, 0,…,0.
In this article, we present the detailed design of a glycerol etherification
plant processing a nominal flow rate of 2 kmol/h of glycerol, assumed to be the
by-product of a 15000 tone/year biodiesel plant. We focus on operating
conditions leading to high selectivity in di-ether, 0.9 being a typical value.
2. Mathematical Model
A simplified model of the plant is used to choose a nominal operating
point together with the plantwide control structure. Fig. 2 presents the Reactor –
Separation – Recycle structure of the plant 0. After the reaction takes place, the
reactor effluent enters the Separation section. Here, the di- and tri- ethers are
removed from the plant while the glycerol, i-butene and mono-ether are
recycled to the reactor, after mixing with fresh reactants.
Reactor Separation
i-Butene
Glycerol
Mono-Ether recycle
i-Butene recycle
Glycerol recycle
0
0
1
1
2
3
3
3
4
di-Ethers
tri-Ether
Fig. 2 – Reactor - Separation – Recycle structure of the glycerol etherification plant.
Bul. Inst. Polit. Iaşi, t. LVI (LX), f. 4, 2010 141
The CSTR is operated at 90ºC. The model of the reactor consists of
mass balance equations (1), where the reaction rates are taken from reference 0.
Moreover, ideal separation and mixing are assumed.
(1) ,2 ,1 ,
1,3
0 , , , ,
k k k j j
j
F F V r k G I M D T
ν
=
 
+ ⋅ = =
 
 
 
The design degrees of freedom represent the variables that must be
specified to completely define the process. The control degrees of freedom
are the variables that can be manipulated, namely the control valves in the
process. For most processes, the number of design degrees of freedom is
equal to the number of control degrees of freedom 0. The model of the
glycerol etherification plant consists of 23 equations and contains 25
variables (17 flow rates, 5 concentrations and 3 reaction rates). Therefore, 2
degrees of freedom must be fulfilled. This is in agreement with Fig. 2, where
two valves must be used for level control, leaving 2 valves available for
manipulating flow rates.
3. Steady State Behaviour
The aim of this section is to investigate the steady state behaviour the
etherification plant. Three control structures will be considered (Fig. 3). In all
control structures the flow rate of fresh glycerol is set to the value FG,0. Control
structures CS1, CS2 and CS3 differ by the second flow specification: fresh i-
butene (FI,0), ratio r0 = FI,0/FG,0 and i-butene at reactor inlet (FI,1), respectively.
For each control structure, the mathematical model is solved using Matlab 0.
The conversions of glycerol and i-butene (XG and XI, respectively) are plotted
versus the flow rate of fresh glycerol (FG,0) and conclusion are drawn
concerning the sensitivity of the desired operating point when variable flow
rates of glycerol must be processed.
i-Butene
LC
FCFC
Glycerol
LC
FCFC
0
0
1
1
3
3
CS1
i-Butene recycle
to Reactor
Glycerol recycle
to Reactor
i-Butene
LC
FCFC
Glycerol
LC
FCFC
0
0
1
1
3
3
CS2
i-Butene recycle
to Reactor
Glycerol recycle
to Reactor
xr
0
i-Butene
FC
LCLC
Glycerol
LC
FCFC
0
0
1
1
3
3
CS3
i-Butene recycle
to Reactor
Glycerol recycle
to Reactor
Fig. 3 − Plantwide control structures.
142
Elena Vlad, Costin Sorin Bildea and Grigore Bozga
When the control structure CS1 is applied, a closed form solution is
available for the product flow rates:
(2)
,4 ,0 ,0
3
D G I
F F F
= −
;
,4 ,0 ,0
2
F F F
= −
If follows that, for a fixed value of the fresh i-butene flow rate FI,0, the
model has a feasible solution (positive flow rates) only for a certain range of the
fresh glycerol flow rate FG,0.
(3)
,0 ,0
min max
,0 ,0 ,0
3 2
I I
G G G
F F
F F F< < < =
It should be noted that selectivity of the glycerol transformation into di-
ether is high when the fresh glycerol flow rate approaches the maximum
allowed flow rate
max
,0
G
F
.
Fig. 4 displays the results obtained when control structure CS1 is applied
to two etherification plants employing reactors of volume 1 m3 and 4 m3,
respectively. When the flow rate FG,0 is set to the upper limit
max
,0
G
F
, only di-ether
is obtained as product. However, both glycerol and i-butene conversions
approach zero and the recycle rates become infinite. This limit is independent of
the reactor volume. The lower admissible value
min
,0
G
F
approaches the theoretical
value FI,0/3 when the reactor volume V approaches infinity.
0
0.2
0.4
0.6
0.8
1
1.5 2 2.5 3
F
G,0
/ [kmol/h]
X
G
V = 1 m
3
F
I,0
/ [kmol/h]=4.2 4.6 5
0
0.2
0.4
0.6
0.8
1
1.5 2 2.5 3
FG,0 / [kmol/h]
XI
V
= 1 m
3
F
I,0
/ [kmol/h]= 4.2 4.6 5
0
0.2
0.4
0.6
0.8
1
1.5 2 2.5 3
F
G,0
/ [kmol/h]
X
G
V = 4 m
3
F
I,0
/ [kmol/h] = 4.2 4.6 5
0
0.2
0.4
0.6
0.8
1
1.5 2 2.5 3
F
G,0
/ [kmol/h]
X
I
V=4 m
3
F
I,0
/ [kmol/h] = 4.2 4.6 5
Fig. 4 – Control structure CS1: glycerol and i-butene conversions vs.
fresh glycerol flow rate, for different values of the fresh
i-butene flow rate and reactor volume.
Bul. Inst. Polit. Iaşi, t. LVI (LX), f. 4, 2010 143
Fig. 4 shows that, for given values of the model parameters, either zero
or two steady states are possible. When they exist, the two states are
characterized by similar values for the glycerol conversion, but very different
values for the conversion of i-butene. Moreover, a very high sensitivity of the i-
butene conversion with respect to glycerol flow rate is observed when high
selectivity in di-ether is required (FG,0 close to
max
,0
G
F
). This implies that small
disturbances will lead to large changes of the i-butene recycle rate, known as the
“snowball effect” 0, 0. In conclusion, control structure CS1 offers the advantage
of easily setting the ratio between the di- and tri-ethers by manipulating the
reactants flow rates. However, the operating points of high di-ether selectivity
exhibits high sensitivity to disturbances and are dangerously close to the
feasibility limit
max
,0
G
F
.
Fig. 5 presents the conversions versus the fresh glycerol flow rate, for
different reactor volumes, when control structure CS2 is used. The system
exhibits multiple steady states and a region of unfeasibility. On the two solution
branches, the values of glycerol conversion are very close to each other. The
two steady states extend to zero glycerol flow rate. Compared to control
structure CS1, much larger glycerol flow rates can be processed. The same
selectivity in di-ether, namely / ,0 ,0
3 0.9
D G I G
F F
σ
= − =
is obtained at all
operating points depicted in Fig. 5. It appears that the 1 m3 reactor allows
increasing the amount of processed glycerol by 50%.
0.4
0.42
0.44
0.46
0.48
0.5
0 2 4 6 8 10 12 14
F
G,0
/ [kmol/h]
X
G
F
I,0
/F
G,0
=2.1
V / [m
3
] = 1 2 4
0
0.2
0.4
0.6
0.8
1
0 2 4 6 8 10 12 14
F
G,0
/ [kmol/h]
X
I
V / [m
3
] = 1 2 4
F
I,0
/F
G,0
=2.1
Fig. 5 – Control structure CS2: glycerol and i-butene conversions vs. fresh
glycerol flow rate, for different values of the reactor volume.
Fig. 6 presents results obtained when the control structure CS3 is
used. Again, irrespective of the reactor volume and of the fixed value for the
i-butene flow rate at reactor inlet, multiple steady states exist. The high-
selectivity operating points are located near the turning points of the
conversion flow rate diagram and, therefore, are dangerously close to the
region of unfeasibility. Moreover, a direct relationship between the flow rate
FI,1 and the selectivity
σ
D/G does not exist. We conclude that control structure
CS3 appears to be unsuitable.
144
Elena Vlad, Costin Sorin Bildea and Grigore Bozga
0
0.2
0.4
0.6
0.8
1
0 0.5 1 1.5 2 2.5 3
F
G,0
/ [kmol/h]
X
G
V
= 1 m
3
F
I,1
/[kmol/h] = 5 67
0
0.2
0.4
0.6
0.8
1
0 0.5 1 1.5 2 2.5 3
F
G,0
/ [kmol/h]
X
I
F
I,1
/ [kmol/h] = 5 67
V= 1 m
3
0
0.2
0.4
0.6
0.8
1
0 0.5 1 1.5 2 2.5 3
F
G,0
/ [kmol/h]
X
I
V= 4 m
3
F
I,1
/ [kmol/h] = 5 6 7
0
0.2
0.4
0.6
0.8
1
0 0.5 1 1.5 2 2.5 3
F
G,0
/ [kmol/h]
X
G
V= 4 m
3
FI,1
/ [kmol/h] = 5 67
Fig. 6 – Control structure CS3: glycerol and i-butene conversions vs. fresh glycerol flow
rate, for different values of the reactor-inlet i-butene flow rate and reactor volume.
4. Detailed Design
This section presents the detailed design of glycerol etherification
process. The flowsheeting software ASPEN Plus version V7.0 0 was used as a
computer aided process engineering tool. Fig. 7 presents the flowsheet. A
detailed stream report is presented in Table 1. In the rest of this section, details
concerning the processing units will be given.
G1+M1
IB1
2
9
M+D+T
IB3B
G0
IB3A
G1+M1A
6
M1-B
D+T
IB0
CSTR
C1
SEP-GLL
B3
B4
C2
MIX-IB
I0
G0
I1
I3a
I3b
2
4
M1b
G1+M1a
G1+M1
2a 2b
MIX-IB
CSTR
SEP-GLL
C1
C2
Fig. 7 – Flowsheet of the glycerol etherification plant.
Bul. Inst. Polit. Iaşi, t. LVI (LX), f. 4, 2010 145
Table 1
Stream Report
G0 I0 I1 G1+M1
2 I3a G1+M1a
2a 4 I3b 2b M1b
Flow, [kmol/hr]
2.057
4.063
6.333 8.284 10.55
0.247
7.940 4.429
2.061
2.023
2.406
0.345
Flow, [kg/hr] 189.4
228 355.347
971.8 1327.2
13.876
920.3 582.5
417.4
113.5
469.0
51.6
Temp., [ºC] 90.0
20.0
62.919
61.567
90.0 50.0 50.0 50.0
165.2
−6.6 243.1
244.2
Pressure, [bar] 14.0
14.0
14.0 14.0 14.0 1.0 1.0 1.0 0.2 1.0 1.12
0.73
Vapor Fraction 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 1.0 0.0 0.0
Flow, [kmol/hr]
Glycerol 2.057
0.0 0.0 4.625 2.701
0.0 4.625 0.133
0.133
0.0 0.133
0.0
i-Butene 0.0 4.063
6.333 0.265 2.539
0.247
0.265 2.027
0.004
2.023
0.004
0.0
MTBG 0.0 0.0 0.0 2.947 2.947
0.0 2.611 0.336
0.000
0.0 0.336
0.336
DTBG 0.0 0.0 0.0 0.394 2.106
0.0 0.385 1.721
1.712
0.0 1.721
0.009
TTBG 0.0 0.0 0.0 0.053 0.265
0.0 0.053 0.212
0.212
0.0 0.212
0.0
WATER 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
The physical properties of glycerol, i-butene and water are available in
AspenPlus databank. The properties of the ethers were calculated using group
contribution methods. The behaviour of the liquid phase was described by the
NRTL activity model. The interaction parameters of pairs involving ethers and
glycerol or i-butene were taken from 0. The other unknown interaction
parameters were estimated using UNIFAC. Ideal mixing was assumed.
Glycerol etherification. The etherification of glycerol with i-butene
takes place in a CSTR of 1 m3. The reaction temperature and pressure are set to
90ºC and 14 bar, respectively, when the reaction mixture is liquid. When the
same reactor-inlet flow rates were specified to Matlab and Aspen models,
identical results for the reactor-outlet stream were obtained.
G-L-L separation. Depending on the temperature and composition, a
mixture of glycerol, i-butene and glycerol ethers can exist in a single or two
different liquid phases. The composition of the reactor-outlet stream falls in the
single-phase region. In order to exploit the immiscibility for separating the
reactants from products, the fresh glycerol is fed in the G-L-L separator. The
temperature is reduced to 50ºC and the pressure is set to 1 bar. The cooling duty
is 27.8 kW. 10% of i-butene is found in the vapour stream “I3a” and recycled.
The stream “G1+M1a” contains glycerol and mono-ether and is recycled. The
liquid stream “2a” contains i-butene and ethers.
Column C1 separates the i-butene. It has 9 theoretical stages with the
feed on stage 3. The column has a partial condenser and is operated at
atmospheric pressure. The column diameter is 0.2 m. The reflux ratio is set to 2.
The reboiler duty is 79.6 kW and the condenser duty is 25 kW. The entire
amount of i-butene is recovered in stream “I3b”.
146
Elena Vlad, Costin Sorin Bildea and Grigore Bozga
Column C2 separates di- and tri-ether from mono-ether. It has 50
theoretical stages with the feed on stage 25. The column has a total condenser
and is operated under vacuum to avoid high temperature in the bottom of the
column. The column diameter is 0.8 m. The reflux ratio is set to 4. The reboiler
duty is 191 kW and the condenser duty is 209 kW. Stream “M1b” contains 97%
mole fraction mono-ether and some of di-ether. Stream “4” contains 83% di-
ether and 10.2% tri-ether (mole fractions).
5. Dynamics and Control
From the viewpoint of steady state behaviour, the design performed in
the previous sections together with control structure CS2 allow processing the
nominal flow rate of glycerol and tolerate rather large disturbances. However,
the analysis showed two co-existing steady states, which cannot be
simultaneously stable. Moreover, the simplified model used in previous section
assumed perfect separation of the products from the un-consumed reactants,
which certainly is not the case. Therefore, the dynamics of the plant must be
considered in order to prove the stability of the operating point and the
resiliency with respect to disturbances. To reach this goal, a dynamic model of
the plant was built in AspenDynamics. Besides the control loops of CS2,
standard control of the G-L-L separator and distillation columns was used. The
controllers were tuned by a simple version of the direct synthesis method 0.
0
0.5
1
1.5
2
2.5
3
0 2 4 6 8 10
t / [h]
F / [kmol/h]
0
2
4
6
8
10
I3a
4
I3b
G1+M1
0
0.5
1
1.5
2
2.5
3
0 2 4 6 8 10
t / [h]
F / [kmol/h]
0
2
4
6
8
10
I3a
4
I3b
G1+M1
0
0.5
1
1.5
2
2.5
0 2 4 6 8 10
t / [h]
F / [kmol/h]
0
2
4
6
8
10
I3a
4
I3b
G1+M1
0
0.5
1
1.5
2
2.5
0 2 4 6 8 10
t / [h]
F / [kmol/h]
0
2
4
6
8
10
I3a
4
I3b
G1+M1
(a)
(b)
(c)
(d)
Fig. 8 – Dynamic simulation results.
Fig. 8 presents results of dynamic simulation. Starting from the steady
state, several disturbances were introduced at time = 1 h: in simulations a) and
Bul. Inst. Polit. Iaşi, t. LVI (LX), f. 4, 2010 147
b), the glycerol flow rate was changed from 2 kmol/h to 2.2 kmol/h and 1.8
kmol/h, respectively. In simulations c) and d) the ratio between reactants was
changed from the nominal value of 1.2 kg/kg to 1.3 kg/kg and 1.1 kg/kg,
respectively. It can be seen that the nominal operating point is stable, and the
plant achieves stable operation when disturbances are introduced.
6. Conclusions
Production of glycerol ethers by etherification of glycerol with i-butene
catalyzed by homogeneous acid catalysts, such as p-toluene sulfonic acid, is
feasible. For a typical glycerol flow rate of 2 kmol/h, the reaction can be carried
on in a CSTR of 1 m3. The reactants conversion is high and small recycles are
needed. The separation products - unconsumed reactants can be achieved by a
combination of a 3-phase flash and two distillation columns.
When one of the control structures considered in this work is applied,
multiple steady states are possible and the flow rate of glycerol that can be
processed is limited. For this reason, the behaviour of the plant was investigated by
steady state sensitivity analysis. This allowed selecting a robust control structure.
Finally, rigorous dynamic simulation was performed in order to prove
that the chosen control structure ensure stable operation when operation and
design parameters change or are uncertain.
A c k n o w l e d g e m e n t s. The work has been funded by the Sectoral
Operational Programme Human Resources Development 2007-2013 of the Romanian
Ministry of Labour, Family and Social Protection through the Financial
Agreement POSDRU/88/1.5/S/61178 and by project IDEI 1545/2008 – “Advanced
modeling and simulation of catalytic distillation for biodiesel synthesis and glycerol
transformation”.
Received: November 10, 2010 University POLITEHNICA Bucharest,
Department of Chemical Engineering
e-mails: e_vlad@chim.upb.ro
s_bildea@upb.ro
g_bozga@chim.upb.ro
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INTEGRAREA PROIECTĂRII ŞI REGLĂRII PROCESULUI
DE ETERIFICARE A GLICERINEI
(Rezumat)
Fezabilitatea unui proces industrial de eterificare a glicerinei cu i-butenă, în
cataliză omogenă acidă, este investigată. Un model simplificat al bilanŃului de masă al
procesului este dedus folosind un model cinetic pentru reactor, secŃia de separare fiind
descrisă printr-un model de tip cutie-neagră. Analiza gradelor de libertate este folosită
pentru a dezvolta structuri de reglare a instalaŃiei. Analiza de senzitivitate a modelului
de regim staŃionar arată sistemul prezintă stări multiple şi regiuni în care nu există
soluŃii. Punctul nominal de operare este ales astfel încât senzitivitatea faŃă de perturbaŃii
fie evitată. În plus, fezabilitatea este garantată chiar dacă parametrii de operare se
modifică sau sunt incerŃi. Proiectarea detaliată a instalaŃiei este efectuată folosind
AspenPlus. Stabilitatea şi robusteŃea în operare sunt verificate prin simulare dinamică
riguroasă în AspenDynamics.
... LiquidLiquid Separation. The performance of the liquid−liquid separation is predicted by using reduced order models which are developed based on the modeling results obtained with Aspen Plus available in the literature, [11][12][13]15,21 The glycerol phase, containing MTBG is separated from the ibutene phase containing DTBG and TTBG. Thus, we obtain correlations for each of the species involved in the liquid−liquid equilibrium of the form given by eq 3 based on a small parameter estimation problem using as variables the main components of each of the phases, glycerol, and i-butene: ...
... Thus, an Antoine based correlation is developed using the simulated results in the literature that relate boiling points and dew points to the operating pressure. [11][12][13]15,21 The bottoms of the columns are at the boiling point of the mixture, and the energy at the heat exchanger, HX12 in Figures 4 and 5 and HX 36 in Figure 8, is calculated with an energy balance to the entire column. (11) Vacuum Column. ...
Article
In this paper, an optimal process for the simultaneous production of biodiesel (using methanol or bioethanol) and ethers of glycerol is proposed to increase the yield to diesel substitutes in current biodiesel production facilities. The problem is formulated as an optimization model including algae oil production, production of ethanol from starch, transesterification of the oil with bioethanol or methanol, etherification of glycerol with i-butene, which depends on a dynamic model to compute the complex chemical kinetics, and the purification of the ethers. Simultaneous optimization and heat integration are carried out and finally the water consumption of the integrated processes is optimized. Several comparisons are presented. First, the use of glycerol to produce ethers or as a byproduct. Second, the use of different alcohols for biodiesel synthesis in an integrated process. The production of glycerol ethers increases the yield of diesel substitutes by 20%. Furthermore, the energy and water consumptions are competitive with those processes when glycerol is the byproduct. For the integration of glycerol ethers with current biodiesel plants, the use of methanol instead of ethanol is cheaper. However, the current price of i-butene results in high production costs. Simultaneous production of ethanol, biodiesel and glyerol ethers reaches the target of $1/gal for biofuels production cost.
... Technology 1995;Bri 1996; The Board of Regents of the University of Nebraska 2000Nebraska , 2001Puche 2002;Jalinski 2006). Recently, the production of di-and tri-ethers of glycerol has attracted attention since they can be mixed with biodiesel Obendorf 2001, 2002;Cheng et al. 2011;Noureddini 1998;Vlad et al. 2010Vlad et al. , 2011Kiatkittipong et al. 2011;Jamroz et al. 2007;Melero et al. 2008;Zhao et al. 2010), and several processes have been developed based on the fact that glycerol can be used to help separate the mixture of ethers coming from the reaction. The production of the ethers can use ibutene or other C4 hydrocarbon. ...
Article
Full-text available
Glycerol as raw material for further use within biorefineries has been evaluated by reviewing and comparing several processes, mostly from the literature but also a few developed for this work. The evaluation of these processes for transforming glycerol into fuels and chemicals includes their economics and the influence of main process design parameters. The possibility of reusing those chemicals within the biorefinery complex provides further integration possibilities. Various chemical complexes have been described from the literature, and a new process to obtain acrolein is developed. On the one hand, high added-value products allow a biodiesel production cost rather competitive. However, this reduces the integration opportunities and even the fuel yield from oil. On the other hand, for biorefineries to be attractive, a combination of yield and economics needs to be achieved. It looks like a distributed production is so far preferable, based on the current studies. But a more comprehensive supply chain study should be developed to evaluate and integrate biodiesel production plants and processes in a territory.
... The phase containing mainly glycerol and mono ether is recycled back to the reactor, while the other one containing the di-and triethers together with the isobutylene is separated. 19 The isobutene is separated in a stripping column and the bottoms of the column are the desired product. ...
Chapter
In this paper we design the integrated process for the production of bioethanol, biodiesel or fatty acid ethyl ester (FAEE) and glycerol ethers from algae in a self-sufficient production facility. The starch from the algae is converted into glucose. Part of it is fermented to ethanol so that we produce the alcohol needed to transesterify the algae oil, while the rest is fermented to i-butene, needed in the glycerol ethers production to enhance biofuels production capacity. We use CHEMCAD coupled with MATLAB for the rigorous simulation of the integrated biorefinery and evaluate the algae composition for such integrated facility followed by energy integration using SYNHEAT and a detailed economic analysis. The integrated facility has a promising production cost for liquid fuels $0.46/gal, almost half that in case of buying i-butene, and investment costs of $205M, only $40M above the plant that buys the i-butene from the market.
... The processes described in literature which could be used to perform this transformation differ in the way the reaction and products separation are performed. The reaction can be carried on in pressurized reactors operated continuously (Behr and Obendorf, 2003;Vlad et al., 2010) or in batches (Karinen and Krause, 2006;Klepacova et al., 2005Klepacova et al., , 2007. The separation of products can be achieved by flash, extraction and / or rectification operations. ...
Article
Full-text available
The feasibility of an industrial-scale process for production of glycerol ethers by ctherification of glycerol with iso-butene, catalyzed by homogeneous or heterogeneous acid catalyst in a reactive distillation column, is analyzed. Firstly, a conceptual design of the plant is developed containing the reaction section with a kinetic model for the reactive column and a black-box model for separation unit. The influence of i-butene excess on reaction selectivity and recycles magnitude is investigated. Analysis of the liquid-liquid equilibrium is used to design the separation section. Finally, a detailed design of the entire plant is performed using AspenPlus.
... On the one hand we can generate syngas and later methanol so that we can reduce the dependency on fossil based raw materials of the current biodiesel production processes [5]. Another feasible alternative is the transformation of glycerol into fuel oxygenates by means of etherification and esterification reactions enhancing the production of diesels substitutes [6][7][8][9][10][11][12][13][14][15]. However, there is an even simpler integration option, the fermentation of glycerol to ethanol [16][17][18][19]. ...
Article
In this paper, we optimize a process that integrates the use of glycerol to produce ethanol via fermentation within the simultaneous production of biodiesel and bioethanol from algae. The process consists of growing the algae, determining the optimal fraction of oil vs. starch, followed by oil extraction, starch liquefaction and saccharification, to sugars, oil transesterification, for which we consider two transesterification technologies (enzymes and alkali) and the fermentation of sugars and glycerol. The advantage of this process is that the dehydration technologies are common for the products of the glucose and glycerol fermentation. Simultaneous optimization and heat integration is performed using Duran and Grossmann’s model. The fermentation of glycerol to ethanol increases the production of bioethanol by at least 50%. The energy and water consumptions are competitive with other processes that either sell the glycerol or use it to obtain methanol. However, the price for the biofuels is only competitive if glycerol cannot be sold to the market.
... Thus, we obtain a reaction similar to (6). To be on the conservative side, we assume a conversion for (4) of 80% for the reaction in (7) ...
Article
In this work, we propose the optimization of a flowsheet for the production of i-butene from switchgrass. A superstructure embedding a number of alternatives is proposed. Two technologies are considered for switchgrass pretreatment, dilute acid and ammonia fiber explosion (AFEX) so that the structure of the grass is broken down. Surface response models are used to predict the yield. Next, enzymatic hydrolysis follows any of the pretreatments to obtain fermentable sugars, mainly xylose and glucose. i-Butene is obtained by fermentation of the sugars. Next it is separated mainly from CO2 for which PSA or membrane separation are considered. However, xylose cannot be easily converted, and thus we also evaluate the possibility of using it to produce ethanol. The problem is formulated as an MINLP with simultaneous optimization and heat integration. Finally, an economic evaluation is performed. The most promising process involves the use of dilute acid pretreatment and membrane purification of the i-butene. However, the decision related to the production of i-butene alone or the simultaneous production of i-butene and ethanol depends on the prices for ethanol and for switchgrass.
... The plant built around this reactor must be able to withstand the increase of the glycerol feed rate to 3 kmol/h and the decrease of reaction temperature to 353 K. A simplified model of the plant [12] is used to investigate the steady state behaviour. The model considers a CSTR operated at a fixed temperature (363 K), where reactions described inFig. 1 take place (Equation (1) ). ...
Article
este evaluată prin simulare riguroasă în AspenDynamics. A nonlinear approach to design of process systems is presented and applied to glycerol ethers plant. Based on a simplified mass balance, degree of freedom analysis is used to suggest the plantwide control structure. Depending on the operational parameter, the system shows either two or no steady states. The critical manifold separating the two domains should not be crossed when the system is disturbed or the design parameters are uncertain. Nonlinear analysis and constructive (synthesis-oriented) methods, ensuring the robustness of the design, are presented. The dynamic performance is assessed using rigorous process simulation in Aspen Dynamics.
Article
Glycerol, the by-product of the Biodiesel manufacturing from vegetal and animal fats, is an important bio-resource, which can be transformed into a significant number of valuable products, by catalytic, enzymatic, or biological technologies. This paper presents a review of published studies on the kinetics of the main catalytic transformations of glycerol into valuable products, along with information regarding the catalytic reactors experienced or proposed for these transformations. In the kinetic description of the glycerol catalytic transformations, the most used are the rate expressions based on the Langmuir-Hinshelwood-Hougen-Watson (LHHW) theory and the empirical ones, of the power law type. The published results are evidencing that, in addition to the general technical and economic advantages, the liquid phase continuous processes of glycerol transformation are more efficient, ensuring, in many cases, a higher selectivity of the transformation and a slower deactivation of the catalyst.
Chapter
In this chapter we discuss on the possible routes to process biomass for the production of chemicals, fuels, and power. Once the individual processes are described, we present several alternatives for the use biomass to produce a number of products simultaneously taking advantage of synergies between processes, the possibility of producing intermediates out of the same raw materials, and process integration opportunities among processes and energy sources. The methodology used is based on mathematical optimization techniques to allow for solving tradeoffs and identifying the best integrated operation of multiproduct plants.
Article
In this paper, we design an integrated process for the production of diesel substitutes, biodiesel and glycerol ethers, from algae with internal production of the intermediates ethanol and isobutene. The starch from the algae is converted into glucose. Part of it is fermented to ethanol so that we produce the alcohol needed to transesterify the algae oil while the rest is fermented to isobutene, which is needed in the production of glycerol ethers to enhance biofuels production capacity. We use CHEMCAD coupled with MATLAB for the rigorous simulation of the integrated biorefinery and evaluate the algae composition for such integrated facility. This is followed by energy integration using SYNHEAT and a detailed economic analysis. The integrated facility has promising production cost for liquid fuels, 0.46 $/gal, and an investment costs of $205M, almost half the production cost and only and investment $40M above the plant that buys the isobutene from the market.
Article
This paper analyzes the nonlinear behavior of several recycle systems involving first- and second-order reactions. The results, presented in term of dimensionless numbers, explain some control difficulties reported by previous studies. It is shown that conventional control structures, fixing the flow rate of fresh reactants and relying on self-regulation, can lead to parametric sensitivity, unfeasibility, state multiplicity, or instability, particularly at low conversions. These problems can be solved by fixing the flow rate in the recycle loop, as stated by Luyben's rule. This paper demonstrates that a particular location for fixing the recycle flow rate is advantageous, namely, the reactor inlet. This decouples the reactor from the rest of the plant and avoids undesired phenomena due to mass recycles. For example, the unstable closed-loop behavior observed with nonisothermal PFRs disappears. The HDA plant case study illustrates the proposed strategy.
Book
Introduction ScopeEconomic IssuesTechnologyLarge-Scale Reactor Technology Efficient Heat TransferThe Mixing SystemsFast Initiation SystemsKinetics of Polymerization Simplified AnalysisMolecular-Weight Distribution Simplified AnalysisKinetic ConstantsReactor Design Mass BalanceMolecular-Weight DistributionHeat BalanceHeat-Transfer CoefficientsPhysical PropertiesGeometry of the ReactorThe Control SystemDesign of the Reactor Additional Cooling Capacity by Means of an External Heat ExchangerAdditional Cooling Capacity by Means of Higher Heat-Transfer CoefficientDesign of the JacketDynamic Simulation ResultsAdditional Cooling Capacity by Means of Water AdditionImproving the Controllability of the Reactor by Recipe ChangeConclusions References ScopeEconomic IssuesTechnology Efficient Heat TransferThe Mixing SystemsFast Initiation Systems Simplified Analysis Simplified Analysis Mass BalanceMolecular-Weight DistributionHeat BalanceHeat-Transfer CoefficientsPhysical PropertiesGeometry of the ReactorThe Control System Additional Cooling Capacity by Means of an External Heat ExchangerAdditional Cooling Capacity by Means of Higher Heat-Transfer CoefficientDesign of the JacketDynamic Simulation ResultsAdditional Cooling Capacity by Means of Water AdditionImproving the Controllability of the Reactor by Recipe Change
Article
Triglycerides are reacted in a liquid phase reaction with methanol and a homogeneous basic catalyst. The reaction yields a spatially separated two phase result with an upper located non-polar phase consisting principally of non-polar methyl esters and a lower located phase consisting principally of glycerol and residual methyl esters. The glycerol phase is passed through a strong cationic ion exchanger to remove anions, resulting in a neutral product which is flashed to remove methanol and which is reacted with isobutylene in the presence of a strong acid catalyst to produce glycerol ethers. The glycerol ethers are then added back to the upper located methyl ethyl ester phase to provide an improved biodiesel fuel.
Article
Glycerine is a versatile educt mostly produced from renewable materials. It is formed as a byproduct in the production of biodiesel via transesterification. If the demand for biodiesel grows in the future, large quantities of glycerine could be available at low cost, thus giving sense to a use of glycerine for commodity-like products. A process for the technical production of "higher ethers" was designed and compared to an existing process by ARCO Chemical Technology. ARCO claims a process for producing glycerine ditertiary butyl ether that is restricted to a partial conversion to realize a phase separation after the reaction. The lower phase containing nonreacted glycerine is recycled to the reaction. The workup of the upper phase containing the ethers consists of washing all catalyst and monoether of the upper phase into the wastewater. Thus, 0.8 kg monoether/1 kg "higher ethers" are lost in 1.8 kg wastewater contaminated with organics. Compared to that, the new process allows to almost completely convert glycerine and isobutene into the desired "higher ethers". Thus, the fundamentals were developed to start up and optimize this process in a miniplant if the economical interest rises in the future.
Article
The influence of catalyst, solvent and temperature on the etherification of glycerol and ethylene glycol with isobutylene in the liquid phase catalysed by strong acid ion-exchange resins of Amberlyst type (Amberlyst 15 and 35), p-toluenesulfonic acid and by two large-pore zeolites H-Y and H-Beta was studied. Reactions were carried out in the temperature range from 50 to 90 8C at autogenous pressure in solvent (dioxane, dimethyl sulfoxide and sulfolane). The basic kinetic parameters for complex of 11 equilibrium reactions for glycerol and 5 equilibrium reactions for ethylene glycol were estimated. The highest conversion of glycerol was achieved on H-Beta, but on this catalyst the formation of tri-tert-butyl glycerol was sterically hindered. The highest amount of di- and tri-ethers was formed over Amberlyst 35. Over H-Y the reaction was slower due to its lower acidity, and final concentration of di- and tri-ethers was not achieved in monitored reaction time. p-Toluenesulfonic acid provides satisfactory results only when sulfolane was used as a solvent. The solvent plays an essential role because it can affect the investigated etherification reaction with its polarity and homogenization of reaction mixture. The concentration of glycerol and ethylene glycol higher ethers in end product can decrease as temperature increases showing that the side reaction of isobutylene dimerisation is more sensitive to temperature. # 2007 Elsevier B.V. All rights reserved.
Article
One of the central problems in developing a steady-state process flowsheet is finding the number of variables that must be specified to completely define the process. This number is called the design degrees of freedom. Once this number has been found, the number of design optimization variables can be calculated by subtracting all variables that are set by specifications on production rate, product qualities, safety constraints, and environmental limitations. In principle, the design degrees of freedom are easily calculated by simply subtracting the number of equations from the number of variables. However, for typically complex industrial processes, there are many hundreds of variables and equations, and it is not a trivial job to make sure that the correct variables and equations have been defined. In addition, this conventional variables-minus-equations approach requires that a detailed model of the process be available. Once the plant has been specified, the design of a control structure requires that the control degrees of freedom be known. This is the number of variables that can be controlled. It is very easy to calculate this number, even for quite complex processes, because it is equal to the number of manipulated variables (the number of control valves in the process). These variables are different than the design optimization variables. This paper illustrates that the number of design degrees of freedom is equal to the number of control degrees of freedom for an important class of processes. For a much broader class of processes a slight modification of this equality must be used. Several progressively more complex recycle process case studies are used to demonstrate these results. The practical significance of this approach is that we do not need a model and we can avoid the tedious and error-prone procedure of accounting for all variables and equations.
Article
This paper analyzes the nonlinear behavior of several recycle systems involving first- and second-order reactions. The results, presented in term of dimensionless numbers, explain some control difficulties reported by previous studies. It is shown that conventional control structures, fixing the flow rate of fresh reactants and relying on self-regulation, can lead to parametric sensitivity, unfeasibility, state multiplicity, or instability, particularly at low conversions. These problems can be solved by fixing the flow rate in the recycle loop, as stated by Luyben's rule. This paper demonstrates that a particular location for fixing the recycle flow rate is advantageous, namely, the reactor inlet. This decouples the reactor from the rest of the plant and avoids undesired phenomena due to mass recycles. For example, the unstable closed-loop behavior observed with nonisothermal PFRs disappears. The HDA plant case study illustrates the proposed strategy.
Article
In several numerical case studies of some typical recycle processes, Luyben reported the snowball phenomenon: a small change in a load variable causes a very large change in the recycle flow rate around the system. It is important to note that snowballing is a steady-state phenomenon and has nothing to do with dynamics. It does, however, depend on the structure of the control system as Luyben demonstrated. This paper presents a mathematical analysis of the problem for several typical kinetic systems. In the simple binary first-order case of A [r arrow] B, and analytical solution can be found for the recycle flow rate as a function of the fresh feed flow rate and fresh feed composition. Two different control structures are explored. It is shown analytically why the control structure proposed by Luyben prevents snowballing and why the conventional structure results in severe snowballing. Two other kinetic systems are studied numerically: consecutive first-order reactions A [r arrow] B [r arrow] C and a second-order reaction A + B [r arrow] C.
Article
The etherification of glycerol with isobutylene or tert-butyl alcohol without solvent in the liquid phase catalysed by strong acid ion-exchange resins of Amberlyst type and by two large-pore zeolites H-Y and H-Beta was studied. The swelling of commercial macroreticular and gelular ion-exchange resins (Amberlysts) and its influence on glycerol tert-butylation is discussed in this work. By comparing the conversions of glycerol and selectivity to glycerol di- and tri-tert-butyl ethers for macroreticular and gel type ion-exchange resins, it can be concluded that acid macroreticular resins in dry form are very active catalysts for etherification reaction with isobutylene because of large pore diameter. tert-Butyl alcohol as alkylation agent is not suitable because formed reaction water deactivates the catalysts. The zeolites and gel type polymer catalysts are not effective for this etherification reaction (small pore diameter). The best results of glycerol tert-butylation by isobutylene at 100% conversion of glycerol with selectivity to di- and tri-ethers larger than 92% were obtained over strong acid macroreticular ion-exchange resins. Di- and tri-tert-butyl ethers of glycerol are potential oxygenates to diesel fuel.
on the Promotion of the Use of Biofuels or Other Renewable Fuels for Transport
* Directive 2003/30/EC of the European Parliament and of the Council of 8 May 2003 on the Promotion of the Use of Biofuels or Other Renewable Fuels for Transport. Official Journal of the European Union, 17 May 2003.