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The University of Manchester Research Innovative reactive distillation process for the sustainable synthesis of natural benzaldehyde DOI: 10.1021/acssuschemeng.8b02686 Document Version Accepted author manuscript Link to publication record in Manchester Research Explorer Citation for published version (APA): Li, H., Meng, Y., Shu, C., Li, X., Kiss, A. A., & Gao, X. (2018). Innovative reactive distillation process for the sustainable synthesis of natural benzaldehyde. ACS Sustainable Chemistry & Engineering. https://doi.org/10.1021/acssuschemeng.8b02686 Published in: ACS Sustainable Chemistry & Engineering Citing this paper Please note that where the full-text provided on Manchester Research Explorer is the Author Accepted Manuscript or Proof version this may differ from the final Published version. If citing, it is advised that you check and use the publisher's definitive version. General rights Copyright and moral rights for the publications made accessible in the Research Explorer are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. Takedown policy If you believe that this document breaches copyright please refer to the University of Manchester’s Takedown Procedures [http://man.ac.uk/04Y6Bo] or contact [email protected] providing relevant details, so we can investigate your claim. Download date:31. Oct. 2020

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The University of Manchester Research

Innovative reactive distillation process for the sustainablesynthesis of natural benzaldehydeDOI:10.1021/acssuschemeng.8b02686

Document VersionAccepted author manuscript

Link to publication record in Manchester Research Explorer

Citation for published version (APA):Li, H., Meng, Y., Shu, C., Li, X., Kiss, A. A., & Gao, X. (2018). Innovative reactive distillation process for thesustainable synthesis of natural benzaldehyde. ACS Sustainable Chemistry & Engineering.https://doi.org/10.1021/acssuschemeng.8b02686

Published in:ACS Sustainable Chemistry & Engineering

Citing this paperPlease note that where the full-text provided on Manchester Research Explorer is the Author Accepted Manuscriptor Proof version this may differ from the final Published version. If citing, it is advised that you check and use thepublisher's definitive version.

General rightsCopyright and moral rights for the publications made accessible in the Research Explorer are retained by theauthors and/or other copyright owners and it is a condition of accessing publications that users recognise andabide by the legal requirements associated with these rights.

Takedown policyIf you believe that this document breaches copyright please refer to the University of Manchester’s TakedownProcedures [http://man.ac.uk/04Y6Bo] or contact [email protected] providingrelevant details, so we can investigate your claim.

Download date:31. Oct. 2020

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Innovative reactive distillation process for the

sustainable synthesis of natural benzaldehyde

Hong Li,1 Ying Meng,

1 Chang Shu,

1 Xingang Li,

1 Anton A. Kiss,

2,3 Xin Gao

1,2*

1 School of Chemical Engineering and Technology, National Engineering Research Center of

Distillation Technology, Collaborative Innovation Center of Chemical Science and

Engineering(Tianjin), Tianjin University, Tianjin 300072, China

2 School of Chemical Engineering and Analytical Science, The University of Manchester,

Sackville Street, Manchester, M13 9PL, United Kingdom

3 Sustainable Process Technology Group, Faculty of Science and Technology, University of

Twente, PO Box 217,7500 AE Enschede, The Netherlands

* Corresponding author’s e-mail: [email protected]

KEYWORDS: process intensification; experimental validation; scale-up; phase-transfer catalyst

ABSTRACT. Benzaldehyde (BA) is an aromatic flavor compound with a distinctive bitter

almond taste and odor, being the 2nd most produced and valuable natural fruit flavor (after

vanillin). Compared to the chemical synthesis route, the BA production from natural resources is

very expensive hence significant research effort has spurred into finding more feasible solutions.

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This study presents a novel reactive distillation (RD) process for the synthesis of natural BA by

the alkaline hydrolysis reaction of cinnamaldehyde using -cyclodextrin as phase transfer

catalyst. A rigorous model of the RD process was developed for the plant design and scale-up,

and pilot-scale experiments were used to validate the model. Also, a sensitivity analysis was

performed to determine the effects of key operating variables on the RD process performance.

The techno-economic analysis shows that the process is feasible, with over 97% and 70%

reduction in CapEx and OpEx, over 88% savings in total annual costs, and 70% less CO2

emissions as compared to the batch technology. Higher conversion and yield can be obtained by

RD, within shorter residence time (only 2.9h instead of 18h) and using a lower reactants ratio

(water:cinnamaldehyde = 11.5 instead of 200) as compared to the conventional process.

However, the yield still needs to be improved further.

INTRODUCTION

The synthesis of natural flavors has attracted much attention in research and industry, due to

increased concerns from consumers about the food quality and use of natural sources.1 Among

the natural flavors, benzaldehyde (BA) is the 2nd largest produced flavor in the world (after

vanillin). BA has a distinctive fruit flavor (as first extracted from bitter almonds), and it is widely

used in food, beverages, cosmetics, and pharmaceuticals.2 Thus, it is no surprise that the demand

for natural BA is increasing quickly. But a main drawback is the higher price of natural BA as

compared to the chemically synthesized counterpart.2-3

Therefore, it is of utmost importance to

develop more cost effective processes for the natural BA production.

Usually, natural BA can be produced by the alkaline hydrolysis of laetrile (a simpler semi-

synthetic version of amygdalin / vitamin B17), or the conversion of natural cinnamon oil. The

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major production route for natural BA is the alkaline hydrolysis of laetrile, but this implies high

costs due to the toxic hydrocyanic acid that should be removed thoroughly.4 This is clearly in

disagreement with the core principles of green synthesis. A better alternative is using a raw

material such as natural cinnamon oil, which contains more than 80% cinnamaldehyde (CA),5

and it is inexpensive relative to natural benzaldehyde. Hence the hydrolysis or oxidation of CA

to produce natural benzaldehyde is a much more promising option regarding the total cost and

green synthesis aspects.6

Several synthetic processes based on the conversion of natural cinnamon oil were reported, such

as: ozonization process, near-critical water hydrolysis process, toxic phase transfer, or surfactants

catalytic process.7 However, the use of severe reaction conditions, high reaction temperature,

toxic catalysts, strong oxidant, or organic solvent, would unavoidably decrease the natural

essence of benzaldehyde. In order to maintain the natural essence of BA, the hydrolysis of CA

under mild conditions is considered the best synthetic process. However, even this technology

still has some critical challenges, as the reactants are incompatible due to the heterogeneous

phase (CA is in oil phase, while water is in the aqueous phase).6 This limits the contact area of

the reactants and influences the extent of reaction, thereby resulting in the low conversion of CA.

At the same time, the reaction system has a competitive unwanted side reaction hence the yield

of natural benzaldehyde is always at a low level.4

Cyclodextrins (CD) and their derivatives have been proposed for usage in aqueous-phase organic

reactions. As the cheapest one among them, β-cyclodextrin (β-CD) has applications in chemical

separation, enzyme simulation, molecular recognition, and organic synthesis.8-9

In addition, β-

CD has been successfully used to increase the reaction yield of the hydrolysis of CA to

benzaldehyde under mild conditions. Notably, β-CD has a hollow truncated cone structure that is

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hydrophilic at the periphery and hydrophobic in the central cavity.10

This special structure can

break the phase interface between CA and water, leading to miscibility of the reactants and the

change from hetero- to homogeneous reaction conditions.7 However, the hydrolysis reaction still

takes a long time (18h) to get to a high conversion (99%), while the yield of benzaldehyde is still

low (less than 43%).4 The reason for this poor performance is that the contact area of the

reactants remains insufficient while the reaction by-product – acetaldehyde (AA) – is not

removed fast from the reaction mixture. Also, the synthesis requires plenty of water as means to

increase the contact area of the two reactants, hence the reactants ratio (water/cinnamaldehyde:

W/C) can easily reach 190. Tackling these disadvantages in an effective way could really

improve the process economics.

Process intensification (PI) technologies for green chemistry have been reported to provide

engineering solutions for sustainable chemical processing.11

In this respect, reactive distillation

(RD) is an attractive PI technology that combines reaction and distillation into a single column.

RD has been successfully used in the development of novel intensified processes for the

production of e.g. polyesters,12-13

acrylic monomers,14

dimethyl carbonate,15

triethyl citrate,16

dialkyl ethers,17

or for trans-esterification reactions using enzymatic catalysis.18

Compared with a

conventional flowsheet, RD can increase the conversion and selectivity of the reactions through

the direct and continuous removal of the reaction products by distillation.19-20

The energy usage

is also reduced due to the effective utilization of the reaction heat (in-situ heat integration) and

the elimination of an additional step for the separation of CA and benzaldehyde.21

Moreover, a

RD distillation column can also offer a high contact area between the reactants.

This original study is the first to present a novel RD process for the production of natural

benzaldehyde by hydrolysis of CA, effectively addressing the limitations (e.g. low yield, long

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reaction time, and high reactants ratio) of the classic process. β-CD is chosen as suitable catalyst

to increase the inter-solubility of reactants. The RD process is rigorously simulated in Aspen

Plus, and then validated by the experimental results in a small pilot plant. A comprehensive

sensitivity analysis is carried out for a commercial scale process (10 ktpy) in order to investigate

the influence of the operating parameters and the design parameters of the new RD process. An

economic evaluation is performed to prove the process feasibility. The methodology used in this

work is illustrated in Figure 1. Literature data and simulations are used to guide the conceptual

process design and the experimental program, while the lab/pilot-scale experiments decide upon

the validity of the simulated model. Afterwards, the validated model is used for process scale-up

and optimization, sensitivity studies, and economic evaluation. The dual track approach aims to

provide essential insights that (in time) increase the knowledge about the process to the point

where a reliable design and construction of the plant becomes possible.

Predictive modeling

(Aspen Plus)Experimental work

(lab & pilot scale)

Chemical equilibrium

Validation & regression

Conceptual design

Sensitivity studies

Process optimization

Economic evaluation

VLE and LLE

Reactions kinetics

Reaction profiles

Catalyst screening

Lab / pilot-scale testing

Pilot-scale validation

Process

estimates

Literature data

Estimated data

Economic data

Simulations guide Experiments decide

Process implementationTime &

Knowledge

Figure 1. Research & development steps for a RD process development following a dual track

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EXPERIMENTAL

Chemistry

The chemical system investigated in this work is the alkaline hydrolysis reaction of CA into

benzaldehyde and acetaldehyde. β-CD and NaOH are chosen as suitable catalysts that promote

the reaction under mild and clean conditions such as low reaction temperature, green catalysts

and clean reactants.

(1)

Chemicals and Materials

Cinnamaldehyde (purity over 98%) was obtained from Tianjin Chemical Reagent Supply

Company. β-CD (98% purity) was supplied by Yunan Cyclodextrin Production Company.

Sodium hydroxide (96%) was supplied by Tianjin Medicinal Chemistry Company.

Experimental Setup

The experiments for benzaldehyde synthesis (by alkaline hydrolysis of CA) were conducted in

the setup shown in Figure 2. The central equipment of the setup is the glass column used for

reactive distillation. The RD column consists of two tower sections, with an inner diameter of 50

mm and a height of ~2 m. The packing height of the upper and lower sections of the column is

900mm and 920mm, respectively. Both tower sections are equipped with 5 mm θ-ring packing

metal mesh (Beiyang National Distillation Ltd.), and have two points for feeding or measuring

the temperature. The height equivalent to theoretical plate (HETP) of this type of packing is 0.1

m. According to the experimental results on residence time (for this RD column), the residence

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time on each theoretical stage (excluding reboiler) is 12 s.

Legend: 1 – condenser; 2 – sampling tank for the reflux; 3,4 – recovery tank of overhead

product; 5,6 – top and bottom tower section; 7,8 – rotameter; 9 – electric heating jacket with

magnetic stirring; 10 – round-bottom flask; 11 – recovery tank for the bottom product; 12 –

vacuum buffer tank of tower bottom; 13 – U-tube type manometer; 14 – vacuum buffer tank

before the vacuum pump; 15 – vacuum pump

Figure 2. Scheme of the pilot-scale RD column (DN 50) used for experimental investigation of

natural benzaldehyde synthesis by the alkaline hydrolysis reaction of cinnamaldehyde

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Notably, the reaction also occurs in the reboiler due to the homogeneous phase reaction system.

In the reboiler, the residence time is equal to the liquid holdup capacity of the kettle reboiler

divided by the bottom flowrate. Thermocouple probes (PT100, YuDian Ltd.) are used as

thermometric devices. The outside of the RD column uses 100 mm cylindrical organic glass

cover to ensure thermal insulation and to maintain a stable operating temperature. The reboiler is

a 2 L round-bottom flask, heated using an electric heating jacket with magnetic stirring (PTHW-

2L, YuHua Ltd.).

The bottom product is steadily collected by using an overflow in the reboiler. The reboiler

temperature is measured by a thermal resistance probe that is inserted into the flask. A thermal

resistance probe is also used in the top of the RD column. Moreover, a glass-made spiral total

condenser is used at the top of the column, to condense the vapor stream from the top of the RD

column. A reflux ratio controller (electromagnetic relay type, YuDian Ltd.) is used after the

condenser to set the desired reflux ratio. The pressure in the RD column is ensured by a vacuum

pump (2XZ-4, Shanghai Instrument), while the overhead pressure is monitored by a vacuum

gauge (accuracy of 0.1 kPa, Labom Ltd.).

Experimental Procedure

The following experimental procedure is used for the operation of the RD column. Due to the

high reactants ratio, 1.8 L water was added into the reboiler instead of the reactants mixture. The

vacuum pump was opened to evacuate the air from the RD column, and the overhead pressure of

RD was stabilized near the setpoint value. The experimental operation of the RD column started

at total reflux. When steady state operation was achieved, the mixture of reactants and catalysts

was continuously introduced into the feed location (varied in different experiments) of the RD

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column. Then, the reflux ratio controller was opened to the set value. The top and bottom

products of the RD column were withdrawn continuously.

The overhead pressure and the temperature of each measuring point were recorded during the

experiments. Liquid samples were obtained by sampling probes (accuracy of 0.1ml) from the top

and bottom of the RD column every 1 h. All the samples extracted were added to ethyl acetate

(as required by the analysis method, in order to avoid damaging the GC equipment due to water

present in the test sample) and shaken until well blended. Afterwards, the liquid mixtures were

statically separated by decanter. The supernatant liquids were analyzed by gas chromatography

(as described hereafter). At each time point, the top and bottom products were sampled thrice to

ensure the accuracy of the experimental results. The final experimental results for every time

point were determined as the average of three sample results.

Analytical Methods

The compositions of the oil phase mixture were measured by gas chromatography, in a GC

equipment (Auto System 2000 /PerkinElmer) equipped with a flame ionization detector (FID)

and a HP-5 capillary column (30m × 0.32m ×0.25 μm, Agilent). The operating conditions were

as following: split ratio, 100:1; injector temperature, 523.15 K; detector temperature, 523.15 K;

oven temperature, stated at 353.15 K, ascended at the rate of 3.00 K min−1

until 401.25 K;

sample volume, 0.1 μL. These operation conditions were the same as described in our previous

research about the thermodynamic experiments related to cinnamaldehyde and benzaldehyde.22

To remove any discrepancies, all samples taken were analyzed three times and the mean was

used (only if the difference of the analysis results was less than 0.5%, otherwise the analysis

results were rejected and the sample was analyzed again).

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Design of Experiments

Prior to the formal experiment, several exploratory experiments on determining the influence of

various factors have been conducted, as shown in Table 1. The results of these experiments show

that the conversion of cinnamaldehyde is almost unchanged no matter what the reflux ratio is.

This is due to the fact that the materials used in this reaction system have large differences in

boiling points – as shown in Table 2 – so the separation performance is not a problem. Yet, there

is a large feed ratio between the reactants (water and cinnamaldehyde). Consequently a change of

the reflux ratio does not lead to changes in composition distribution. Therefore, the reflux ratio

was kept at a fixed value in the pilot experiments.

Table 1. Exploratory experiments at various reflux ratios

Exp1 Exp2 Exp3 Exp4

Reflux ratio 1:1 5:1 99:1 1:99

Reaction conversion 26.52% 26.01% 25.65% 26.72%

Table 2. Normal boiling points of all pure components

Substance Cinnamaldehyde Benzaldehyde Acetaldehyde Water 1-Naphthalenemethanol

Boiling

point / K 525 451.9 294 373.15 574

Nevertheless, the immiscibility between the reactants and the competitive side-reaction are the

key process challenges to be overcome. Water/oil ratio and the feed position are important

parameters that strongly affect the reactants concentration distribution and thereby the contact

between CA and water. Reaction temperature – dictated by the vapor-liquid (VLE) and the

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pressure in the column – is the most important parameter in the reaction system, which can lead

to changes in the reaction rate and reaction extent of the main and side reactions. Therefore,

those key parameters affecting the hydrolysis reaction are chosen as factors to be investigated in

the RD experiments.

Table 3 provides the experimental plan. The experiments are carried out to show the influence of

the key operating parameters for the RD.

Table 3. Key parameters for the reactive distillation experiments

Experiment

No.

Water/oil

ratio

Water feed

/ g·h-1

Top pressure

/ kPa

Feeding

position

Reflux

ratio

1 21.4 745 11.6 No.1 1

2 12 745 11.6 No.1 1

3 19.75 745 30 No.1 1

4 19 745 30 No.3 1

PROCESS MODELING

A reliable simulation of the RD process needs to be developed in order to systematically evaluate

the influence of the operating parameters.23

Such a rigorous simulation is also an important basis

for the design and construction of an industrial plant using RD technology. Moreover, this

reliable model can guide the pilot scale experiments and the scale-up of the pilot scale to

commercial process for the natural benzaldehyde production.

In this work, the RD process is simulated using a rigorous model developed in Aspen Plus (as

detailed hereafter) to describe the synthesis of natural benzaldehyde. The kinetic model

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considered for the main reaction (based on the previously reported experimental work) represents

accurately the reaction system.4

Phase Equilibrium

The vapor pressure calculation parameters (in terms of the Antoine equation parameters) and the

enathalpy of vaporization of the pure components for separation are shown in Table 4.

Table 4. Vapor pressure parameters and vaporization enthalpy of the pure components

Component Antoine equation parameters Vaporization

enthalpy /

J·kmol-1 A B C D E

Cinnamaldehyde 68.028 -9987.5 7.09666 1.75297×10-18

6 5.041×107

Benzaldehyde 109.372 -9331.2 -14.639 0.011932 1 4.14716×107

Acetaldehyde 186.782 -8036.7 -29.502 0.043678 1 2.57308×108

Water 66.7412 -7258.2 -7.3037 4.1653×10-6

2 4.08124×108

1-Naphthalenemethanol 109.061 -15543.7 -12.2682 1.88664×10-18

6 6.7985×107

Note: Antoine equation: iEs

i i i i iln  (kPa)= A  + B / T+ C lnT+ D Tp (T/K)

The RD process simulations were carried in Aspen Plus using the RADFRAC module. Due to

the presence of water, the hydrolysis system is characterized by a non-ideal behavior of the

liquid phase so a liquid activity model has to be used. The activity coefficients used in this work

have been calculated by the non-random two-liquid (NRTL) model equations. Table 5 shows the

VLE data of the binary systems for this reaction system at low pressure. The binary interaction

parameters (BIPs) of cinnamaldehyde and benzaldehyde were reported in details in a previous

paper.22

Other binary interaction parameters were obtained from the Aspen Plus database of pure

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components or from estimated data. These binary interaction parameters have been implemented

in the NRTL model used in the Aspen Plus simulations.

Table 5. Binary interaction parameters (BIP) for the NRTL model of main system components:

cinnamaldehyde (1), benzaldehyde (2), acetaldehyde (3), water (4), 1-naphthalenemethanol (5)

(i,j) aij aji bij(K) bji(K) cji

(1,2) 0 0 339.4415 1633.0134 19.1490

(1,3) 0 0 854.354 -541.228 0.3

(1.4) 0 0 672.536 2372.32 0.3

(1.5) 0 0 364.141 -171.335 0.3

(2,3) 0 0 480.687 -360.264 0.3

(2,4) 0 0 839.381 1752.36 0.3

(2,5) 0 0 504.003 -266.631 0.3

(3,4) 10.912 3.7792 -2709.5273 -977.1515 0.3

(3.5) 0 0 -616.022 1001.59 0.3

(4.5) 0 0 2711.47 496.003 0.3

Figure 3 illustrates the residue curve map (RCM) and ternary diagram describing the vapor-

liquid-liquid equilibrium (VLLE) of the cinnamaldehyde-benzaldehyde-water mixture. As two

liquid phases are possible, it is important to design the reactive system such that the formation of

benzaldehyde is favored by the process conditions (e.g. less excess of water in the system).

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Figure 3. Residue curve map (RCM) and ternary diagram for the mixture cinnamaldehyde-

benzaldehyde-water

Reaction Kinetics

The kinetics of the benzaldehyde synthesis by alkaline hydrolysis reaction has been reported by

Chen and Ji.4 This reaction kinetic equation only considers the initial concentration of

cinnamaldehyde because of the large difference in feed quantity of reactants. The reaction rate in

the presence of β-CD (β-CD solution reached saturation state) can be expressed by:

9 8C H O fr k C (2)

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6 45270=1.6528 10 exp( )fk

RT

(3)

where r represents the chemical reaction rate (min-1

), C is the molar concentration of the

corresponding component (mol/L), the parameters kf is the forward rate constant (L/mol∙min),

and T is the reaction temperature expressed in Kelvin.

The reaction system also has some side reactions. However, only the side reaction to produce 1-

naphthalenemethanol (1-NM) is considered in the simulation (as conversion of AA) as this is the

dominant by-product. The reaction pathway to form 1-naphthalenemethanol (1-NM) from CA

and AA (by-product of the main reaction) is shown in Eq. (4). Note that the AA conversion in

this reaction is 90%, as in the reactor considered in a previous work.4 Therefore, it is crucial that

the AA formed in the main reaction is removed immediately from the reaction mixture (by

reactive distillation) to reduce the occurrence of side reactions.

(4)

Environmental impact

The potential environmental impact has been estimated in Aspen Plus using Carbon Tracking to

determine the total CO2 emissions. The fuel source considered is natural gas, and the CO2

emission factor data source used is the US Environmental Protection Agency Rule of ‘E9-5711’

(CO2 E-US) proposed in 2009. The standard used for the Global Warming Potential is USEPA

(2009) considering a carbon tax of 5 $/ton (value updateable to any specific year). The following

equations have been used for calculating the CO2 emissions:

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2

%[ ]

100

fuel

emissions

Q CCO

NHV

(5)

0

419proc FTB

fuel proc

proc FTB stack

Q T TQ h

T T

(6)

where α = 3.67 is the ratio of molar masses of CO2 and C; NHV (net heating value) is 48900

kJ/kg for natural gas; C% (carbon content) is 0.41 kg/kg; Qproc is the heat duty required by the

process and provided by the steam (kW); λproc is the latent heat of steam delivered to the process

(kJ/kg); hproc is the enthalpy of steam delivered to the process (kJ/kg); T0 is the ambient

temperature; TFTB (K) and Tstack (K) are the flame and stack temperature, respectively.

RESULTS AND DISCUSSION

Experimental Results

A set of four experiments using the RD column have been successfully performed under various

operating conditions. These experiments aimed to investigate the most important parameters

affecting the operation of the RD column: reactants ratio (W/C), top pressure, and feed position.

Table 6 shows the parameters and results of the experiments carried out. It should be noted that

all the experimental results are the average values of the steady state achieved during the

experiment. Compared to the previously reported experimental results obtained in a batch

reactor,4 the W/C ratio is significantly reduced from 200 to about 20 in the RD column.

Nonetheless, the actual conversion of CA is lower than 80% in the RD column, due to the

insufficient residence time (i.e. reaction time) caused by the limited height of the packing. The

experimental RD column used has only 2 m height, while more packing is needed to achieve full

conversion. Hence the validated model of the RD system will be used to design a full scale RD

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column that could achieve complete conversion.

Table 6. Comparison of simulation and experimental results under the same conditions

Experiment number 1 2 3 4

Exp. Sim. Exp. Sim. Exp. Sim. Exp. Sim.

Operating conditions

Water/oil ratio 21.4 21.4 12 12 19.75 19.75 19 19

Water feed flowrate (g·h-1

) 745 745 745 745 745 745 745 745

Top pressure (kPa) 11.6 11.6 11.6 11.6 30 30 30 30

Reflux ratio (g/g) 1 1 1 1 1 1 1 1

Feed position / stage No.1 3 No.1 3 No.1 3 No.3 13

Residence time (h) 2.6 2.6 2.5 2.5 2.54 2.54 2.53 2.53

Experimental or simulation results

Distillate flowrate (g·h-1

) 75.25 78.57 73.25 79.199 59.59 64.50 60.49 64.52

Bottom flowrate (g·h-1

) 704.56 701.24 733.83 727.88 723.13 718.22 723.72 719.69

Benzaldehyde bottom

flowrate (g·h-1

) 7.72 7.698 9.86 10.575 11.42 11.543 11.23 12.62

Cinnamaldehyde bottom

flowrate (g·h-1

) 16.42 16.041 35.83 36.095 10.75 9.704 11.72 11.083

Cinnamaldehyde

conversion (%) 52.82 53.91 42.12 41.69 71.51 74.28 70.35 71.96

Note: In the simulations for RD: Number of stages = 21, Stage pressure drop = 0.01 kPa.

Model Validation

The experimental work was used to evaluate the validity of the model predictions. Table 6 shows

the comparison of the simulation vs experimental results, under the same operating conditions.

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Remarkable, there is an excellent agreement between the simulation results and experiments. In

addition, Figure 4 shows the temperature profile of the RD column as a comparison between the

simulation and experimental values, for several experiments.

(a) Exp1 (b) Exp2

(c) Exp3 (d) Exp4

Figure 4. Comparison of the temperature profiles (simulated vs experimental results)

Only minor differences (maximum error: 0.62%) can be observed, these being within the allowed

error range (less than 1%). The main reason of this temperature error is the simplified simulation.

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In the simulation, the solid catalysts (β-cyclodextrin and NaOH) were not added explicitly

included into the simulation, as their catalytic activity has been considered already through the

kinetic equations. Also, the catalysts cannot affect the separation in the RD column due to their

extremely high boiling points. This simplified simulation leads to the uncertainty in temperature

without affecting other results. The comparison clearly indicates that the Aspen Plus simulation

model of the RD system is very reliable and it can be used for sensitivity analysis studies and

scale-up of the design. The comparison results of Exp2 indicate that this model can be used in

the reaction system with low water content. However, this water content must not be too low,

which should be within a reasonable range.

RD Process Scale-up

As showed by the experiments, the residence time was insufficient at pilot-scale to achieve full

conversion. Residence time is a key parameter that affects not only the conversion, but also the

product purity and the complexity of the follow-up separation process. Hence, it is crucial to

scale-up the RD column using a validated model, such that a high conversion is attained by an

increased residence time. The annual processing capacity considered for the full scale process is

10 ktpy (e.g. feed flow rate of CA is 1250 kg/h). Figure 5 shows the full flowsheet of the RD

process for BA synthesis, including the mass balance as well as the key design and operating

parameters. Besides the RD column, an additional decanter is needed to remove the excess of

water, and a distillation column to purify the final BA product. Figure 6 shows the composition

profiles and temperature profile of the RD column. As shown in Figure 6, although the amount of

water has been greatly reduced, the composition of water on each stage is always maintained at a

high value. Therefore, it is feasible that the RD simulation model is applicable to scale-up this

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process. These simulation results can be used further to guide the design of the industrial scale

production of benzaldehyde.

Figure 5. Flowsheet of the full scale RD process, including key parameters and mass balance

Figure 6. Composition and temperature profiles along the RD column

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Figure 7 shows the effect of the residence time on the conversion and yield in the RD process. As

the residence time increases, the CA conversion reaches completion while the benzaldehyde

yield increases rapidly to over 50% and then it maintains a slow linear growth trend. When the

residence time exceeds 2.90 h, the conversion surpasses 99.9% and the yield of target product

goes beyond 53.6%. This is clearly in contrast to the reported batch reactor that achieves a

conversion of 99% after 18h reaction time, with an yield of only 42%.4 Using the RD process is

strongly beneficial to reduce the required residence / reaction time of the alkaline hydrolysis

reaction, as the coupling of reaction and separation leads to a very low concentration of the

product and thus it increases the reaction rate. Moreover, the packing of the RD also provides a

larger contact area between the heterogeneous reactants as compared to a batch reactor.

Figure 7. Effect of the reaction time on cinnamaldehyde conversion and benzaldehyde yield

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Sensitivity Analysis

A sensitivity analysis study has been performed to determine the effects of the main operating

parameters (e.g. reflux ratio, column pressure, feed position, and W/C reactants ratio) on the

product yield and the energy requirement (i.e. reboiler duty). Such a systematic investigation is

typically required before proceeding further with a large scale implementation. Nonetheless,

experimental research alone cannot get satisfactory results, as experiments are usually expensive

and time consuming.24

Based on a validated model, simulation studies are more appropriate as

they have higher efficiency, are inexpensive, and provide valuable insights into the process.25

The sensitivity analysis of the operating parameters was performed by varying one parameter at a

time, but other methods can be also employed. Table 7 lists the operating and design parameters

that were changed and/or fixed in the sensitivity studies.

Table 7. Changes of operating and design parameters used in the sensitivity analysis

Changed

parameter

Fixed parameter

Reflux ratio Pressure (kPa) Water/oil

ratio Feed position

Reflux ratio 0.1-5 0.1 0.1 0.1

Head pressure (kPa) 20 1-50 20 20

Water/oil mass ratio 11.5 11.5 2-30 11.5

Feed position of

cinnamaldehyde 6 6 6 3-40

Note: Other variables were kept constant: feed flowrate of cinnamaldehyde = 1250 kg·h-1

,

distillate flowrate = 2200 kg·h-1

, total stages = 50, stage pressure drop = 0.01 kPa, residence time

= 2.9h. The 1st-5

th stages are in the distillation zone. The 6

th-50

th stages are in the reaction zone.

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Reflux Ratio

In RD processes, the reflux ratio affects the separation efficiency but also the reaction extent.

The relationship between the performance of RD and the reflux ratio is more complicated due to

the coupling of reaction and separation in the same unit. But similar to distillation, in case of RD

processes the number of theoretical stages and the reflux ratio are key parameters that can be

used to evaluate quickly and reliably the applicability of RD technology.26

Figure 8 illustrates the effects of the reflux ratio on the product yield and reboiler duty. The yield

of benzaldehyde slightly increases with the reflux ratio. Higher reflux ratios lead to the effective

separation of AA (lowest boiling component) from the reaction zone, thereby to a higher

conversion of CA.

Figure 8. Effect of the reflux ratio on the benzaldehyde yield and reboiler duty

In addition, AA reacts in the side reaction, the extent of which decreases with the removal of AA

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from the reaction zone. However, the concentration of CA does not change significantly with the

reflux ratio due to the high W/C reactants ratio. In terms of energy usage, a higher reflux ratio

leads to (linearly) higher reboiler duty, which is economically unattractive for industrial

production. Hence, the optimal reflux ratio should be chosen as low as 0.1 kg/kg.

Column Head Pressure

In conventional distillation, the operating pressure is selected by considering the improved

separation efficiency (e.g. increased relative volatility at lower pressure), thermal stability of the

components, condenser and reboiler temperatures (e.g. possibility to use cheap utilities such as

cooling water and steam), capital costs (e.g. larger equipment at lower pressure) and operating

costs (e.g. use of vacuum pumps or compressors). But in case of RD processes, the operating

pressure also has an effect on the reaction rate as it changes the temperature in the reactive zone

of the RD column. Operating at the highest possible pressure (and therefore temperature) is very

favorable for the reaction rate in the case of the endothermic reaction of CA hydrolysis. But the

temperature of the reactive zone is limited by the activity and the stability of the catalyst which

indirectly restricts the pressure of the RD column. In the batch system, the optimum temperature

for the phase transfer catalyst (β-CD) is 323K, while the catalyst stability limit is 538K.4, 6

Figure 9 (top) shows that increasing the column pressure leads to a higher yield of benzaldehyde

and an increased reboiler duty. At pressures lower than 20 kPa, the yield of benzaldehyde

increases sharply as the column pressure increases, while at pressures higher than 20 kPa the

yield increases only slightly when the column pressure increases. Although a higher pressure is

favorable for increasing the benzaldehyde yield, it also leads to a higher reboiler duty which is an

economic penalty. Moreover, considering the characteristics of the catalyst used in this study, the

temperature in the reaction zone should be close to 323K.

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Figure 9 (bottom) shows the average temperature (from 6th

to 50th

stage) in the reaction zone at

various RD column pressures.

Figure 9. Effect of the column pressure on the benzaldehyde yield and reboiler duty (top), as

well as the temperature in the reactive zone (bottom)

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The average temperature of reaction zone is 333K at pressures below 20 kPa. This temperature

can ensure an effective activity of the phase transfer catalyst, being close to the optimal reaction

temperature previously reported. Therefore, a top column pressure of 20 kPa is recommended as

optimal operating parameters.

Feed Position

In RD process, the feed position affects not only the separation efficiency but also the stage

compositions and thus the reaction extent and pathways. Both catalysts (β-CD and NaOH) used

in this RD process should be fed with the reactant on the first stage of the reaction zone, as the

catalysts can only participate in the reaction when they are dissolved in the reactant. As the

catalysts are not soluble in CA, they must be fed within the water stream. For this reason, the

feed position of water must be the first stage of the reactive zone. Hence, only the feed position

of CA has to be examined. Moreover, as the catalyst cannot be evaporated, they will be present

in the liquid phase only on the feed stage and the ones below. So, in this RD simulation model,

the reaction zone is from 6th

to 50th

stage, and the distillation zone is from 1st to 5

th stage.

Figure 10 shows effect of the CA feed position on the yield of benzaldehyde and the reboiler duty.

The product yield decreases when the CA feed location changes to a higher stage (lower position

in the RD column). This is due to the fact that the reactant (CA) is easier to separate in the

bottom of the RD column, so this leads to a low concentration of reactant on the stages above the

feed position of CA. A similar negative effect can be observed for the reboiler duty, which

increases as the feed stage of reactant changes from 3 to 40. An upper feed stage should be

considered, and based on these results stage 6 was selected as the optimal feed position for CA.

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Figure 10. Effect of the feed stage position on the benzaldehyde yield and reboiler duty

Reactants Ratio

The mass ratio of reactants strongly affects the reaction conversion, the yield and purity of

products, as well as the energy usage in the RD process. In the production of benzaldehyde, an

insufficient excess of water puts limitations on the reaction conversion, but a large excess leads

to increased reboiler duty and purification costs. Another restriction is that the catalysts (β-CD

and NaOH) are soluble only in water. Care must be taken to avoid the solidification of the

catalyst, which can lead to severe fouling of the column and shutdown of the RD process. Hence,

the bottom stream of the RD column should always contain sufficient water to make sure that the

catalysts remained dissolved in the aqueous phase. The excess water and the by-product of the

main reaction (AA) are separated in the top of the RD column. As acetaldehyde has a low boiling

temperature under vacuum operation, this makes it difficult to condense using cheap utilities

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(e.g. cooling water). Hence, the excess water removed in the top contributes to increasing the

condensing temperature of the mixed stream, this being a clear improvement for the condenser.

Nonetheless, the selection of the reactants ratio is a compromise between the operating costs and

the condenser temperature, taking into account the constraint that sufficient water is available in

the bottom stream to dissolve the catalysts.

Figure 11 shows the effect of the W/C reactants ratio (kg/kg) on the yield and reboiler duty.

Remarkably, the product yield slightly increases initially and then decreases with increasing the

reactants ratio. The reason for this behavior is that too little water leads to less contact area,

while it can also result in the precipitation of the catalysts thereby blocking the RD column.

However, too much water leads to lower concentration of CA and thus reduced reaction rate (at

the same temperature).

Figure 11. Effect of the reactants ratio (W/C cinnamaldehyde) on the benzaldehyde yield and

reboiler duty

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Figure 11 also indicates that the increase of the W/C reactants ratio leads to an increase of the

reboiler duty. Based on these results, a mass ratio of water to CA of 11.5 kg/kg is recommended

as optimal operating parameters.

Process Comparison

Traditional technology employs a batch reactor, in which the reactions occur. The mixture of

reactants and resulting products is then fed into a decanter for the stratification of the two liquid

phases. The organics (e.g. cinnamaldehyde, benzaldehyde and 1-naphthalenemethanol) are

separated afterwards by distillation. The catalysts (NaOH and β-CD) are dissolved in the water

phase that is recycled in the process.

The new RD technology combines the reactions and separation into the same unit, with the key

advantage that the conversion of CA exceeds 99.9%. Consequently, the decanter separates only

benzaldehyde and 1-naphthalenemethanol as organic phase, while the catalyst cycle is the same

as in the traditional technology.

Table 8 shows a comparison of traditional and the new RD technology, in terms of key operating

parameters and performance indicators (considering the same annual capacity of 10 ktpy). For

the economic evaluation, a payback period of 3 years has been used. The main parameters of the

traditional reaction process were set according to the optimal experimental results reported by

Chen and Ji.4 The optimal operating conditions for each distillation have been used for both the

traditional process and new process. Regardless of the technology, operating at mild conditions

maintains the natural features of benzaldehyde. The comparison shows that using the RD

technology can dramatically reduce the W/C reactants ratio and the reaction time, while the

conversion and yield are drastically increased. Remarkable, the RD technology has 70% lower

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CO2 emission and about 50% less circulating water is required, while the water usage maintains

the same value (3%). Based on the cost comparison, it can be concluded that the new RD

technology provides superior economic advantages.

Table 8. Main process parameters and economic indicators for classic vs RD technologies

Process parameter /

Performance indicator

Traditional

technology

Reactive

distillation

Difference

(%)

Feed flowrate of cinnamaldehyde (kg∙h-1

)

1250 1250 –

Feed flowrate of water (kg·h-1

) 237,500 14,375 -93.95

Water : cinnamaldehyde ratio (kg·kg-1

) 190 11.5 -93.95

Reaction time (h) 10 2.9 -71.00

Reaction temperature (K) 323 333 –

Conversion of cinnamaldehyde (%) 53.72 99.90 +85.96

Yield of benzaldehyde (%) 22.56 53.69 +137.99

CO2 emission (kg/h) 1786.41 519.84 -70.90

Circulating water requirement (kg/h) 24172.2 6007.89 -75.14

Total capital cost ($1000) 3,378.42 71.92 -97.87

Total operating cost ($1000/year) 626.07 182.69 -70.82

TAC ($1000/year) 1,752.22 206.67 -88.20

CONCLUSIONS

This study proved for the first time that the β-CD catalyzed alkaline hydrolysis reaction of

cinnamaldehyde to benzaldehyde can be successfully carried out in a new reactive distillation

process. The systematic research effectively used rigorous Aspen Plus simulations to guide the

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experimental work at pilot scale, while the experimental results proved the model validity.

A pilot-scale experimental RD column (DN 50) has been built to fully validate the technical

feasibility of the newly proposed process based on reactive distillation. Using the validated

simulation, the influence of the main parameters has been explored to gain insights into the RD

process operation and provide guidance for the industrial production. The sensitivity analysis has

been used to determine the optimal operating parameters of the RD process.

Notably, the RD process works under mild reaction conditions, and it has excellent technological

and economic advantages. The simulation results indicate that compared to the batch process, the

RD process greatly enhances the benzaldehyde yield from 42% to 53%), while decreasing the

residence / reaction time (from 18h to 2.9h) and the W/C reactants ratio (from 200 to 11.5).

Additionally, the RD process greatly reduces the CO2 emission by 70% (from 1786.4 kg/h to

519.84 kg/h) and the circulating water requirement by almost 75% (from 24172.2 kg/h to

6007.89 kg/h). The economic comparison indicates that the new RD technology is very attractive,

allowing over 97% reduction in CapEx, more than 70% reduction in OpEx, and over 88%

savings in the total annual costs, as compared to the traditional technology. The main conclusion

is that the new RD technology excellent potential advantages and it provides an efficient way to

produce natural benzaldehyde. However, the benzaldehyde yield is still unsatisfactory, which

needs to be improved further. In the future, improved reaction condition and separation

performance of the packing should be the focus of the research direction to accelerate the

separation rate of acetaldehyde and decrease the production rate of the by-product.

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AUTHOR INFORMATION

Corresponding Author

Xin Gao, School of Chemical Engineering and Technology, National Engineering Research

Center of Distillation Technology, Collaborative Innovation Center of Chemical Science and

Engineering(Tianjin), Tianjin University, Tianjin 300072, China. E-mail: [email protected]

Author Contributions

The manuscript was written through equal contributions of all authors. All authors have given

approval to the final version of the manuscript.

ACKNOWLEDGMENT

The authors acknowledge financial support from National Key Research and Development

Program of China (2018YFB0604905), National Nature Science Foundation of China (Nos.

21776202, 21336007, 21690084). X. Gao thanks the China Scholarship Council (CSC, No.

201706255020) for his academic visiting fellowship in the UK. Prof. A.A. Kiss gratefully

acknowledges the Royal Society Wolfson Research Merit Award. The authors also thank the

reviewers for their insightful comments and suggestions.

ABBREVIATIONS

AA Acetaldehyde

BA Benzaldehyde

BIP Binary interaction parameter

CA Cinnamaldehyde

CAPEX Capital expenditures

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CD Cyclodextrin

NM Naphthalene-methanol

OPEX Operating expenditures

PI Process intensification

RCM Residue curve map

RD Reactive distillation

TAC Total annual cost

VLE Vapor-liquid equilibrium

W/C Water/cinnamaldehyde ratio

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For Table of Contents Use Only

Natural benzaldehyde production from cinnamon oil, based on an innovative hybrid reactive

distillation process that allows lower total costs, low CO2 emissions, and reduced water usage