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618
Journal Of Economics, Technology, and Business (JETBIS)
Volume 2, Number 11 November 2023
p-ISSN 2964-903X; e-ISSN 2962-9330
OPTIMIZATION OF ETHANOL ISOLATION FROM MOLASSES
FERMENTATION MESH USING BATCH DISTILLATION: SIMULATION WITH
SECONDARY DATA VERIFICATION
Gibson Vivere Verico Samosir
1
, Maulifah Rofidatul Fatikhah
2
, Naufal Mahdi
3
, Agung
Sugiharto
4
Universitas Muhammadiyah Surakarta, Indonesia
1,2,3,4
E-mail: gibsonverico@gmail.com
1
, rofidatulmaulifah@gmail.com
2
,
naufalmahdi@gmail.com
3
, as174@ums.ac.id
4
KEYWORDS:
Ethanol isolation, Batch
distillation, Process
optimization
ABSTRACT
This study focuses on the optimization of ethanol isolation from
molasses fermentation mash through batch distillation, employing a
simulation approach with secondary data verification. Molasses, a
byproduct of sugar production, serves as an economical feedstock for
ethanol production. The aim is to enhance the efficiency of the
distillation process, maximizing ethanol yield while minimizing
energy consumption. The research employs process simulation
software to model and analyze the batch distillation of ethanol from
molasses fermentation mash. The simulation incorporates secondary
data verification, ensuring the accuracy and reliability of the model
against experimental results from previous studies. This iterative
process allows for the refinement of simulation parameters, ultimately
improving the predictive capability of the model. Key factors such as
reflux ratio, distillation time, and temperature profile are
systematically varied to identify optimal conditions for ethanol
isolation. The study also considers the impact of impurities present in
the fermentation mash on the distillation process. Through sensitivity
analysis, the influence of different variables on ethanol yield and
purity is assessed, aiding in the identification of critical parameters for
process optimization. Results obtained from the simulation and
verified against experimental data reveal insights into the optimal
operational conditions for ethanol isolation. The findings contribute
to the development of more efficient and sustainable practices in
ethanol production from molasses, offering potential economic and
environmental benefits. In conclusion, this research bridges the gap
between theoretical simulations and practical applications by
optimizing the batch distillation process for ethanol isolation from
molasses fermentation mash. The incorporation of secondary data
verification enhances the reliability of the simulation, providing
valuable insights for process engineers and researchers working
towards the advancement of ethanol production technologies.
INTRODUCTION
Currently, the use of alternative energy is being increased to reduce dependence on fuel
oil (BBM), one of which is the use of ethanol. In the world of the oil and gas industry in
Indonesia, ethanol has a high octane value and can be obtained through the fermentation
process by distillation process. The process usually uses fungi, yeast, or bacteria that have a
high enough selectivity to produce ethanol (Dhaniswara et al., 2016).
Vol 2, No 11 November 2023
Optimization of Ethanol Isolation From Molasses Fermentation
Mesh Using Batch Distillation: Simulation With Secondary Data
Verification
https://jetbis.al-makkipublisher.com/index.php/al/index
The fermentation process of materials containing glucose to produce ethanol is widely
applied in the industrial world. The resulting products can be classified into two, namely as
alcoholic beverages such as wine (wine) with a relatively low ethanol concentration (about 7.0-
8.5 percent by weight) or as fuel with an ethanol concentration of at least 92.5-93.8 percent by
weight or food grade ethanol which in addition to its relatively high ethanol content also does
not contain impurities such as fuel oil, vinegar acid, acetaldehyde, and others which are by-
products of fermentation. To produce products with a high enough ethanol concentration, a
separation process is needed. Generally, the separation process used is using a distillation
process (Greetham et al., 2020).
The distillation process is a process of separating mixtures based on their boiling point
and relative volatility. Substances with high relative volatility will rise upwards and will be
condensed to obtain distillate, while those that fail to evaporate will be taken as residues.
Distillation usually uses two stages, namely evaporating and condensing without reflux and the
second stage is returning some of the condensed steam to maintain the temperature of the upper
tray and increase the concentration of distillate (Sari, 2018).
Distillation is most commonly used for the separation of homogeneous liquid mixtures.
Separation is done by taking advantage of the boiling point difference or volatility between the
components in a mixture by boiling or evaporating more of the more volatile components
(Marnoto et al., 2019).
When a liquid mixture of two components is heated, the steam that comes out will contain
more volatile components that are greater than the liquid in the boiler. Conversely, when steam
is cooled, materials with higher boiling points tend to condense more easily than components
with lower boiling points (Parhi et al., 2019).
The distillation process can be divided into two types: batch distillation and continuous
distillation. This batch distillation is widely used in pharmaceuticals, essential oils, and some
petroleum products. In the batch distillation column, the feed is first poured into the boiler and
no more ingredients are added until the end of the process. The difference that stands out from
these two distillation processes is that the material for continuous distillation, the feed is flowed
into the column continuously and thus makes the process in steady state condition. For batch
processes, components with higher boiling points increase over time (Raytama et al., 2021).
Ethanol itself is the alcohol most often used in everyday life. Because of its non-toxic
nature, this material is widely used as a solvent in the pharmaceutical world and the food and
beverage industry. Ethanol is colorless and tasteless but has a distinctive odor. Ethanol can be
used in pure form or as a mixture of gasoline (gasoline) and hydrogen fuel. The interaction of
ethanol with hydrogen can be used as a fuel cell energy source or in conventional internal
combustion engines (Soputra et al., 2015).
In this study, ethanol purification will be carried out using batch distillation directly from
the fermentation mash and new process optimization will be carried out to get answers to how
much purity is produced by batch distillation and how much energy efficiency can be done
(Suharto et al., 2020).
Optimization of Ethanol Isolation From Molasses
Fermentation Mesh Using Batch Distillation: Simulation With
Secondary Data Verification
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620
RESEARCH METHODS
Operation data retrieval
Operation data retrieval is intended to input the data needed to perform the simulation.
Data from the Mash Fermenter is taken from the ethanol plant. The mash fermenter is obtained
from PT Indo Acidatama Tbk, in Kebakkramat District, Karanganyar Regency, Central Java.
The mass fermenter obtained is used for testing in the laboratory using a GC (gas
chromatograph) tool to obtain content composition data from the mash fermenter, which later
the data obtained is later used to be tested on ASPEN plus software (Wibowo et al., 2018).
Thermodynamic Model Selection
In research, in particular simulation, to approach simulation conditions with field
conditions it is necessary to select the most accurate thermodynamic model. In modeling the
ethanol purification system from the fermenter mash, the selection of thermodynamic models
greatly affects the simulation results (Xia et al., 2023).
For the selection of a proper thermodynamic model in this simulation, it is considered
that the distillation system operates at absolute pressure and is ideal in Peng-robinson's
thermodynamic model (Sodeifian et al., 2021).
Evaluating Energy Consumption
The next step is to evaluate the energy consumption (operating cost) used in the process
from the configuration simulation flowsheet. Energy evaluation includes the use of plant
utilities in each distillation including steam and cooling water (Wei et al., 2012).
RESULTS AND DISCUSSION
Process Simulation
In researching the distillation of batch mash fermenters, a predestinate distillate scenario
model was made using Aspen Plus software. The model consists of a feed, a distillation batch
tower, and a condenser. The purpose of predestinate distillate is to get the best ethanol results
in the component separation process. Based on the results obtained, economic calculations
were carried out in terms of energy consumption, distillation duration, and price for ethanol
obtained (Asadollahzadeh et al., 2017).
This simulation uses the Peng-Robinson thermodynamic model because the feed used in
the system in this study is the result of fermentation, which has a fairly diverse component
content and is usually distinguished based on the boiling point of the components.
Determine the composition of the feed to be distilled by conducting laboratory testing of
the content contained in the mash fermenter with a GC-MS (Gas Chromatoghrap-Mass
spectrometry) device (Luyben, 2005).
In the simulation, a fermenter mash feed base of 1000 km/hr was taken. The content of
fermented mash in the form of ethanol content is 11%, water is 64%, and isoamyl alcohol is
25%. This distillation is done in batches by evaporating ethanol which has the lowest boiling
point among the other 2 components. The boiling point of ethanol is 78.8, water is 100, and
℃℃isoamyl alcohol is 131. TRepeateddistillation or redistilate distillate is to obtain a high
ethanol content of 99%.
Vol 2, No 11 November 2023
Optimization of Ethanol Isolation From Molasses Fermentation
Mesh Using Batch Distillation: Simulation With Secondary Data
Verification
https://jetbis.al-makkipublisher.com/index.php/al/index
Re- distillate distillate
In this simulation, repeated distillation was carried out on the feed, by reconnecting the
distillate results that had been distilled to achieve 99% ethanol content. Distillation is carried
out 3 times with 20 stages (Al-hotmani et al., 2020). A feed of 1000 kmol enters the first tower
and is set at a temperature of 89oC and a pressure of 1 atm with a reflux of 1.63, where the
value is obtained based on the calculation of the mass balance for the distillation tower. The
following are-distillate distillate system uses Aspen Plus v11.
Figure 1.
Flow diagram system Distlate redistillations
B1 Distillation
In this case, the results obtained are the result of the distillation of tower 1 from a feed of
1000 km, the goal of the first distillation is to reduce the isoamyl content contained in the feed
and focus on reducing the isoamyl. The results of distillation on B1 can be seen in the graph
below:
Figure 2.
Plot Graph at Distillation 1
The results in the graph above show a decrease in ethanol mole levels but an increase in
mole levels in isoamyl and water. The decrease in ethanol levels from the first 1 hour of
distillation to the 8 hours of distillation was significant in ethanol, but compared to the initial
mole fraction the ethanol increase increased by 0.7%, and, in the isoamyl mole fraction there
was a decrease of 0.9%. the results of the mass fraction produced from distillate B1 are shown
below:
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
1.00E+00 2.00E+00 3.00E+00 4.00E+00 5.00E+00 6.00E+00 7.00E+00 8.00E+00 9.00E+00
Plot hasil Fraksi mol Distilasi B1
ethanol air isoamyl
Optimization of Ethanol Isolation From Molasses
Fermentation Mesh Using Batch Distillation: Simulation With
Secondary Data Verification
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Figure 3.
Hasil Stream Result
In the picture above, it can be seen that there was a decrease in ethanol, in the initial feed
of 5067.59 kg/hr, but the distillate results obtained by 3822.47 kg/hr decreased ethanol by
24.6%. In the water component, there was a decrease of 64%, and isoamyl alcohol by 74.45%.
Based on the above results, a decrease in isoamyl and water levels in the feed is achieved, so
that it can be continued for distillation to 2.
Destilasi B2 (Re-distilate B1)
The B2 distillation process (distillation of the results of distillate from B1) is to increase
ethanol levels and reduce isoamyl and water levels that are still contained in B1 distillate. The
graphic results of the mole fraction of ethanol, water, and isoamyl distillation B2 can be seen
below. In the results of ethanol and water, there was a fairly drastic increase during the first 10
minutes, and there was a decrease in the next 2 hours. This decrease in the mole fraction of
ethanol occurs due to the increase in water and isoamyl in small amounts but affects ethanol
levels. Although there is a decrease in the mole fraction of ethanol, the ratio between isoamyl
and water levels in B1 distillation results and after re-distillation (B2) can be a concern. The
flow rate of ethanol can be seen in the B2 stream result below:
Figure 4.
Hasil Destilat B2 (Redistilled B1)
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0 0.5 1 1.5 2 2.5 3 3.5
Plot hasil Redistilate B1
ethanol air isoamyl
Vol 2, No 11 November 2023
Optimization of Ethanol Isolation From Molasses Fermentation
Mesh Using Batch Distillation: Simulation With Secondary Data
Verification
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Figure 5.
Stream Result B2
Based on the results above, the decrease in isoamyl mass flow and water contained in B2
distillate compared to the results of B1 distillate is quite high, isoamyl mass flow from 5621.9
kg/hr to 1085 kg/hr, decreased by 80.8%, water mass flow from 5106.26 kg/hr to 763,723
there was a decrease in mass flow by 85.05 % while in mass flow ethanol from 3822.47 kg/hr
to 2564.07 kg/hr, decreased by 32.93%. However, because ethanol levels still have not reached
the target of 99%, distillation is carried out again on the results of distillate B2.
Destilase B3 (Re-distilate B2)
The results of the B3 distillation mole fraction (B2 re-distillate) showed a significant
increase in the graph below, especially in the ethanol component that rose and did not decrease
for 3 hours of distillation duration. While the water component has increased but decreased
levels at distillation time for 2.5 hours, and for the isoamyl component there was no increase in
levels during the distillation process. Here is a plot of the yield of the B2 mole fraction:
Figure 6.
Re-distillation of distillate B2
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.000000 0.500000 1.000000 1.500000 2.000000 2.500000 3.000000 3.500000
Plot Hasil fraksi mol Redistilate B2
Ethanol water isoamyl
Optimization of Ethanol Isolation From Molasses
Fermentation Mesh Using Batch Distillation: Simulation With
Secondary Data Verification
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624
Figure 7.
Stream Result B3
The mass rate of the B3 distillation results can be seen in the picture above. For ethanol
decreased by 15.1%, from 2564.07 kg/hr to 2176.95 kg/hr. While water decreased by 24.5%,
from 763,724 kg/hr to 576,959 kg/hr and isoamyl can be said to have no increase in flow rate
at the top (distillate). So that the content contained in B3 distillate is only water and ethanol.
In the results obtained distillate it is very difficult to obtain ethanol content up to 99% because
there is an azeotrope between water and ethanol at the point of ethanol at 79% and water at
21%. Therefore, an entrainer or the addition of a third component is needed to overcome the
azeotrope of water and ethanol so that it can be continued for further distillation.
Distillation B1.2 (Entrainer addition)
To overcome the azeotrope found in water and ethanol, an entrainer is added as a third
component. The component used as an entrainer is ethyl acetate. Ethyl acetate can bind the
water content contained in ethanol so that the boiling point of a mixture of ethyl acetate and
water drops to 70oC while ethanol is 78.9oC, and in the results to be obtained, ethanol will be
the bottom result in distillation, while the top result (distillate) will contain rich water and ethyl
acetate, then the distillation process can be carried out. The results obtained can be seen in the
graph below:
Gambar 8.
Grafik Plot Destilasi B1.2 (Penambahan Entreiner)
Vol 2, No 11 November 2023
Optimization of Ethanol Isolation From Molasses Fermentation
Mesh Using Batch Distillation: Simulation With Secondary Data
Verification
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Based on the graph of the component content in the POT (bottom) above during
distillation of 7 hours, the moisture content and ethyl acetate decreased very significantly,
which is because it has risen to distillate at 70oC, while ethanol remains at the bottom. The
levels obtained in B1.2 distillation can be seen in the figure below:
Figure 9.
Stream Result B1.2
Based on the picture above, ethanol levels in the mole fraction and mass have met the
achievement, which is 99%, because ethyl acetate binds water so that the boiling point of the
mixture becomes 70 so it is more volatile than ethanol. So the ethanol mass flow is 1826.2
Kg/hr.
CONCLUSION
The conclusions that can be drawn are the content of the fermenter mash in the GC test
there are: Water, Isoamyl, and Ethanol, Isoamyl Alcohol which can be optimized using the
batch distillation process, The operating scheme of the batch distillation tower for purification
of ethanol content from the fermenter mash is the best re-destilling distillate with cut-off at
step-1, and obtained Product recovery 24.6% of the amount of feed. In the initial B1 feed of
5067.59 kg/hr, the distillate results obtained by 3822.47 kg/hr decreased ethanol by 24.6%. In
the water component, there was a decrease of 64%, and isoamyl alcohol by 74.45%.
in B2 isoamyl mass flow from 5621.9 kg/hr to 1085 kg/hr, there was a decrease of 80.8%,
Water mass flow from 5106.26 kg/hr to 763.723 there was a decrease in mass flow by 85.05%
while in ethanol mass flow from 3822.47 kg/hr to 2564.07 kg/hr, there was a decrease of 32.93
%. However, because ethanol levels still have not reached the target of 99%, the B3 Mass rate
on the results of B3 distillation can be seen in the picture above. For ethanol decreased by
15.1%, from 2564.07 kg/hr to 2176.95 kg/hr. While water decreased by 24.5%, from 763,724
kg/hr to 576,959 kg/hr and isoamyl can be said to have no increase in flowrate at the top
(distillate). So that the content contained in B3 distillate is only water and ethanol, in B4 the
addition of an entrainer is carried out to achieve the target of 99% because this is very difficult
to do because there is azeotrope. After adding the entrainer, the mole fraction and mass were
99% and the ethanol mass flow was 1826.2 Kg/hr.
Optimization of Ethanol Isolation From Molasses
Fermentation Mesh Using Batch Distillation: Simulation With
Secondary Data Verification
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