ArticlePDF Available

Production and characterization of biodiesel and glycerine pellet from macroalgae strain: Cladophora glomerata

Authors:

Abstract and Figures

Biodiesel was prepared by extracting oil from Cladophora glomerata green algae followed by transesterification of the oil using NaOH as a catalyst. The algae Oil extraction was carried out using two different techniques (Soxhlet and refluxing) and similar oil yield was obtained (23-24%). The resulting biodiesel showed desirable physical and chemical properties. Specific gravity, acid value, iodine value, ash content and calorific value of the algae biodiesel were within the specification of American Society for Testing and Materials (ASTM) and European Standards (EN). The analysis of fatty acid methyl ester composition revealed, 63, 27 and 10% for 9-octadecodenoic, hexadeconic and octadeconoic acid methyl ester, respectively. From the production line, two waste streams (glycerol and residual biomass) were combined to form a glycerine pellet. The measured energy content of the glycerine pellet was found to be comparable with firewood. Therefore, C. glomerata could potentially be utilized for the production of both biodiesel and glycerine pellet with no net waste in the transesterification process. KEY WORDS: Algae oil, Biodiesel, Transesterification, Glycerine pellet, Macroalgae, Cladophora glomerata Bull. Chem. Soc. Ethiop. 2020, 34(2), 249-258 DOI: https://dx.doi.org/10.4314/bcse.v34i2.4
Bull. Chem. Soc. Ethiop. 2020, 34(2), 249-258. ISSN 1011-3924
2020 Chemical Society of Ethiopia and The Authors Printed in Ethiopia
DOI: https://dx.doi.org/10.4314/bcse.v34i2.4
__________
*Corresponding author. E-mail: ahmed.hussen29@aau.edu.et
This work is licensed under the Creative Commons Attribution 4.0 International License
PRODUCTION AND CHARACTERIZATION OF BIODIESEL AND GLYCERINE
PELLET FROM MACROALGAE STRAIN: CLADOPHORA GLOMERATA
Dawit Firemichael
1,2
, Ahmed Hussen
2*
and Wendawek Abebe
3
1
Department of Chemistry, School of Graduate Studies, Dilla University, P.O. Box 419, Dilla,
Ethiopia
2
Center for Environmental Sciences, College of Natural and Computational Sciences, Addis
Ababa University, P.O. Box 1176, Addis Ababa, Ethiopia
3
Department of Biology, College of Natural and Computational Sciences, Hawasa University,
P.O. Box 5, Hawasa, Ethiopia
(Received September 1, 2019; Revised August 8, 2020; Accepted August 19, 2020)
ABSTRACT. Biodiesel was prepared by extracting oil from Cladophora glomerata green algae followed by
transesterification of the oil using NaOH as a catalyst. The algae Oil extraction was carried out using two different
techniques (Soxhlet and refluxing) and similar oil yield was obtained (23-24%). The resulting biodiesel s howed
desirable physical and chemical properties. Specific gravity, acid value, iodine value, ash content and calorific
value of the algae biodiesel were within the specification of American Society for Testing and Materials (ASTM)
and European Standards (EN). The analysis of fatty acid methyl ester composition revealed, 63, 27 and 10% for 9-
octadecodenoic, hexadeconic and octadeconoic acid methyl ester, respectively. From the production line, two
waste streams (glycerol and residual biomass) were combined to form a glycerine pellet. The measured energy
content of the glycerine pellet was found to be comparable with firewood. Therefore, C. glomerata could
potentially be utilized for the production of both biodiesel and glycerine pellet with no net waste in the
transesterification process.
KEY WORDS: Algae oil, Biodiesel, Transesterification, Glycerine pellet, Macroalgae, Cladophora glomerata
INTRODUCTION
Conventional sources of energy like natural gas, oil and coal have caused immense damage to
the environment by increasing the carbon in the atmosphere causing various global climatic
events, such as acidic rain and global warming [1]. Currently, bio-fuels are being explored as an
alternative source of energy. Among the bio-fuels, biodiesel seems to be at the forefront because
of its environmental credentials such as renewability, biodegradability and clean combustion
behaviour [2]. The production of biodiesel from oil crops [3, 4], waste oil [5], plant seed oil [6]
and fruit and vegetable wastes [7] had been reported in the literature. These feedstocks are
mainly known to be the first and second generation sources of biofuel [8].
Algae are the third generation fuel, which are considered as the most promising alternative
and renewable feedstock sources for producing biodiesel [9]. Like other vegetable oils or lipids,
the algae oils are composed of triglycerides (fatty acid ester of glycerol), which can be
converted into methyl esters (biodiesel) and glycerol via transesterification process. Algae have
several advantages over conventional crops. Because of their simple cellular structure, algae
have higher rates of biomass and oil production, faster growth rate than other conventional crops
[10]. The per unit area yield of oil from algae is estimated to be from 20,000 to 80,000 L per
acre, per year; this is 7–31 times greater than the next best crop, palm oil [11]. In contrast to the
first and second generation, algae can be grown in water bodies (which account two thirds of the
earth surface) by avoiding the use of land [12, 13].
Dawit Firemichael et al.
Bull. Chem. Soc. Ethiop. 2020, 34(2)
250
Based on cellular complexity algae could be classified in to two as microalgea and
macroalgae. Microalgae are unicellular, plant like organisms which range from 1–50 μm in size
[14] and can be seen only using a microscope. On the other hand, macroalgae are multicellular,
macroscopic, and can grow up to 60 m in length [15]. Different research findings reported that
both macroalgae and microalgae are important sources of biofuel. Deriving biodiesel from
microalgae, however, presents some significant challenges. There are high costs attached to
cultivation and harvesting of microalgae, rendering them economically infeasible with current
technologies and processes. In addition, the vulnerability of microalgae to contaminants and
elements necessitates the use of sophisticated systems such as bioreactors which increase the
cost and complexity of operations. Nevertheless, because of their high oil yield, microalgae are
widely studied [16-18] as biodiesel feedstock.
Macroalgea present significant advantages in their ease of cultivation and harvesting, and
subsequently low costs for both [19]. Besides, macro-algae are effective in nutrients uptake (N,
P) from sewage and industrial waste water without being affected [20]. Irrespective of these
advantageous of macroalgae over microalgae, there are few studies on macroalgae as biodiesel
feedstock [21, 22]. In Ethiopia there are several species of green algae. However, research
activities made to utilize them as feedstock for bio-fuel production is scant and at its infancy
stage. Therefore, in the present study, one of a macroalgae named Cladophora glomerata,
collected from lake Hawasa, was studied for its potential of biodiesel production. The oil was
extracted, transesterified and characterized using standard methods. Furthermore, the residual
biomass of the transesterification process was mixed with glycerol to produce a glycerine pellet
which could be used as refuse derived fuels (RDF). The glycerine pellet energy content was
estimated and compared with firewood.
EXPERIMENTAL
Chemicals, apparatus and instruments
Methanol, chloroform, and n-hexane (99.7% purity) was purchased from Merck (Darmstadt,
Germany), while the sodium hydroxide was from LobaChemie (GmbH, Switzerland). Glycerol
standard (99.5% purity) was obtained from VWR International. Trichloethylene (98% purity)
was purchased from Thomas Scientific and used after further purification. Apparatus used were:
Soxhlet extractor, thermo-regulator heater equipped with stirrer (MGW-LAUDA, D6970,
Germany), specific gravity bottle, pH meter (Hanna model No. 02895), rotary evaporator, oven
(BTOV 1423), Ferranti portable viscometer model VL, Abbe refractometer, and Hewlett
adiabatic bomb calorimeter (model 1242). GC-MS (Little Falls, CA, USA), flame photometry
(JENWAY PFP7, Germany) and UV-Visible spectrophotometer (Thermo Scientific, USA) were
the instruments used in the biodiesel characterization.
Sample collection and preparation
Samples of C. glomerata were collected from Lake Hawassa; Ethiopia from May to July in
2012. The identification of the algae to species level was undertaken on the site by using algae
identification field guide. The samples were washed with lake water in situ to remove trapped
mud, sand, epiphytes and attached particles and then put into clean polyethylene bags. The open
air dried algae biomasses were ground with mortar and pestle. The ground algae biomasses were
further dried for 20 min at 80 °C to remove moisture.
Oil extraction
Two extraction methods (Soxhlet and refluxing) were employed for the extraction of algae oil.
In Soxhlet, 30 g dried algae biomass was placed in a thimble made from filter paper and loaded
Production and characterization of biodiesel and glycerine pellet from macroalgae strain
Bull. Chem. Soc. Ethiop. 2020, 34(2)
251
to Soxhlet apparatus. Trichloethylene (300 mL) was added in the ratio of 1:10 g/mL and
extracted for 18 h and rotator evaporated to remove the solvent. Refluxing was carried for 3 h by
mixing 30 g algae biomass and 300 mL Trichloethylene in a distillation flask. The extract was
separated by using Buchner funnel under weak vacuum and the solvent was removed using
rotator evaporator.
Algae biodiesel production
Transesterification reaction procedure reported by Refaat et al. [23] and Muthukumar [24] has
been used with modification for the production of biodiesel. In the first step, the amount of the
NaOH catalyst required was determined by titration which was found to be 6.3 g NaOH/L oil.
Accordingly, 0.63 g of NaOH was taken for 100 mL of algae oil. This amount of NaOH was
dissolved in 20 mL of methanol and the mixture was heated to 60 ºC before mixing it with the
oil. The methanol-NaOH solution was added to algae oil at 60 ºC with a volumetric ratio of 1:5.
The mixture was then blended by using magnetic stirrer for 1½ h and allowed to settle for 24 h
at room temperature to separate glycerol from crude biodiesel. The crude biodiesel was then
washed by adding 30% (v/v) of warm water at 50 ºC followed by rocking for 5 min. The
washing process was repeated four times to make sure that all the soap residuals have been
removed. The washed biodiesel was then placed in an oven at 100 ºC for 6 h to evaporate any
water that might be left during washing. Finally; the volume and weight of the biodiesel were
measured, and the sample was stored for characterization.
Determination of physico-chemical properties of algae biodiesel
Both preliminary biodiesel quality tests (soot, 3/27, water solubility and refractive index test)
and critical biodiesel tests (density, specific gravity, iodine value, kinematic viscosity, pour
point, cloud point, carbon residue, ash content, acid value and calorific value) were determined
at petroleum quality test laboratory in accordance with ASTM standard test methods [25].
Fatty acids methyl ester composition of the algae biodiesel was determined using GC-MS.
The GC-MS was equipped with an inert XL Mass detector (Agilent-Technologies 5975), auto
injector (Agilent-Technologies7683B series) and HP-5MS 5% phenyl methyl silox capillary
column (27 m x 250 μm with film thickness x 0.24 μm). The sample for injection was prepared
by diluting 1 μL of the algal biodiesel with 99 μL of n-hexane. And from this solution 1.0 μL of
the sample was injected into the GC-MS in the split less mode. Helium was used as a carrier gas
with a flow rate of 1 mL/min. The temperature of column oven was programmed, it started at 40
°C for 0 min hold and ramped to 100 °C at 4 °C/min and retained for one minute at 100 °C. It
was increased from 100 to 310 °C at 10 °C/min where it was finally held for 16 min. The
temperature of the injector and MS transfer line was set at 250 and 280 °C, respectively. An
electron ionization system (with ionization energy, i.e. 70 eV) was used for GC-MS detection
while scanning mass ranged from 33–500 m/z. The fatty acid methyl ester compositions were
determined as relative percentage of the total peak area.
The amount of free glycerol in the biodiesel was measured with a UV-Visible
spectrophotometer based on the method developed by Keppy et al. [26]. The sample was first
treated with sodium periodate which reacts with free glycerol in the sample to generate
formaldehyde. Then reaction between this formaldehyde and acetyl acetone produced the yellow
complex, 3,5-diacetyl-1,4-dihydrolutidine. This yellow compound exhibited a maximum
absorbance peak at 410 nm, where its concentration in the sample was measured. The
concentration of the complex was proportional to the amount of free glycerol in the sample. For
the calibration graph, stock standard solution of glycerol (1000 mg/kg) was prepared by diluting
1 g of glycerol solution into a 1 L solvent (1:1 ratio of deionized water and ethanol) and series
of six glycerol reference standards were prepared in the range of 0 (blank) to 18.75 mg/kg from
Dawit Firemichael et al.
Bull. Chem. Soc. Ethiop. 2020, 34(2)
252
the stock solution by serial dilution. Working standards and the samples were treated with 1.2
mL of a 10 mM sodium periodate solution and shaken for 0.5 min. Each solution was then
treated with 1.2 mL of a 0.2 M acetylacetone solution, placed in a water bath at 70 °C for 1 min
and stirred manually. The solutions were immediately placed in cold water to stop the reaction.
Finally, the absorbance of the complex formed was plotted against the concentration of the
glycerol standard solutions. The calibration curve showed very good correlation coefficient
value (0.997). Based on this calibration curve the free glycerol content in algal biodiesel sample
was determined.
Flash point was calculated based on Eq. (1), which relates calorific value (heat of
combustion), viscosity, density and flash point [27]. Except flash point all other variables can be
obtained experimentally.
 = 0.4527 − 0.0008ρ − 0.0003 + 40.3667 (1)
where, heat of combustion (MJ/kg), ν is viscosity (mm
2
/s), ρ is density (g/L), and FP is flash
point (°C).
The metals (sodium, potassium, magnesium and calcium) content were determined using a
flame photometer. The sample (5 g) was taken in a silica crucible and heated on a hot plate and
the residue was further burned to ash in a muffle furnace at 525 °C. After dissolving the ash in a
concentrated sulphuric and nitric acids, the metal content was analyzed using a flame
photometer. The flame photometer was first calibrated by aspirating series of standard solutions
and then the sample solutions were aspirated and quantified.
Glycerine pellet preparation
Glycerine pellet formation is fairly straight forward. The raw materials (waste glycerine and
waste biomass) were mixed by weight ratio and blended by hand in a large mixing bowl. The
ratios of glycerine (30 g) to waste biomass (50 g) were then mixed to produce a crude
unfinished material. This raw pellet is transferred into the mold, a short length of PVC with one
end sealed. The diameter of the PVC pipe is 12.5 mm, and its length is101.6 mm. The mold
helps the pellet retain its cylindrical shape. Then a short PVC rod, slightly smaller than the PVC
internal diameter, was inserted into the open end of the mold to compress the pellet. Pressure
was applied by hand for 2 min. This pressure not only reduced the pellet size, but also facilitates
the glycerine to permeate the materials and form a single firm unit as shown in Figure 1. Finally,
the calorific value or energy content of the sun-dried glycerine pellet was determined by bomb
calorimeter.
Figure 1. Glycerine pellet produced from waste glycerine and biomass.
Production and characterization of biodiesel and glycerine
Algae oil yield
The amounts
of algae oil extracted by Soxhlet and refluxing were 24.2 and 23.4%, respectively.
Statistical analysis (t-
test at probability 5%) showed no significant difference in the amount of
oil obtained using the two methods. Nevertheless, in terms of time, reflux
Soxhlet. Because 7.26 g of oil was extracted after 18 h of Soxhlet extraction while 7.01 g is
obtained within 3 h of refluxing time.
The amount of oil obtained from
other m
yield from E. Compressa
macroalgae
[28] obtained 1.56-
4.14% oil yiel
Chlorophyceae and
Phaeophyceae
Biodiesel yield
The biodiesel prepared using 100 g algae oil, 20 g methanol, 0.7 g NaOH at 60 °C and h
reaction time
yielded 96.8 g biodiesel and 22 g glycerol
might be attributed to some un
the washing stage of the transesterification process. Conversion
production test parameter b
conversion yield obtained in this work (96.8 ± 0.4%)
indicates that the oil from C.
G
Figure 2.
Biodiesel and glycerol percentage yield from algae oil
The biodiesel yield obtained from this study is much higher than those reported by other
researchers; Muthukumar
et al.
respectively,
from two different algae strain.
Preliminary quality test
Methanol and biodiesel were mixed in the ratio of 27:3, agitated and settled for 30 min. As a
result, no formation of layer, turbidity and cloud was observed which indicates a positive result
for 3/27 test. Similarly, in water solubility test clear layers
biodiesel also passes this preliminary test.
The amount of CO
2
released from combustion is an indication of the efficiency of the
combustion reaction. Table 1 shows that the time required for color change in gasoline and
biod
iesel is less compared to kerosene; the more CO
Production and characterization of biodiesel and glycerine
pellet from macroalgae strain
Bull. Chem. Soc. Ethiop. 2020, 34(2)
RESULTS AND DISCUSSION
of algae oil extracted by Soxhlet and refluxing were 24.2 and 23.4%, respectively.
test at probability 5%) showed no significant difference in the amount of
oil obtained using the two methods. Nevertheless, in terms of time, reflux
ing is much better than
Soxhlet. Because 7.26 g of oil was extracted after 18 h of Soxhlet extraction while 7.01 g is
obtained within 3 h of refluxing time.
The amount of oil obtained from
C. glomerate
was found to be higher than the oil content of
acroalgae species reported before. For example,
Suganya et al. [21]
reported 11.14% oil
macroalgae
by Soxhlet extraction. Similarly, El Maghraby and Fakhry
4.14% oil yiel
d from three different macroalgae specious (
Rhodophyceae
Phaeophyceae
).
The biodiesel prepared using 100 g algae oil, 20 g methanol, 0.7 g NaOH at 60 °C and 1½ h
yielded 96.8 g biodiesel and 22 g glycerol
as shown in Figure 2. The loss of 1.2 g
might be attributed to some un
-reacted
alcohol, residual catalyst and emulsion removed during
the washing stage of the transesterification process. Conversion
yield is set as one biodiesel
production test parameter b
y EN (EN14103), which ranges between 96-100%.
So, the
conversion yield obtained in this work (96.8 ± 0.4%)
falls within the EN specification. This
G
lomerata is a potential candidate for biodiesel feedstock.
Biodiesel and glycerol percentage yield from algae oil
.
The biodiesel yield obtained from this study is much higher than those reported by other
et al.
[24] and Mondal et al. [29]
reported 60 and 80% biodiesel yield,
from two different algae strain.
Methanol and biodiesel were mixed in the ratio of 27:3, agitated and settled for 30 min. As a
result, no formation of layer, turbidity and cloud was observed which indicates a positive result
for 3/27 test. Similarly, in water solubility test clear layers
were formed implying that the
biodiesel also passes this preliminary test.
released from combustion is an indication of the efficiency of the
combustion reaction. Table 1 shows that the time required for color change in gasoline and
iesel is less compared to kerosene; the more CO
2
is available the faster the color change
pellet from macroalgae strain
253
of algae oil extracted by Soxhlet and refluxing were 24.2 and 23.4%, respectively.
test at probability 5%) showed no significant difference in the amount of
ing is much better than
Soxhlet. Because 7.26 g of oil was extracted after 18 h of Soxhlet extraction while 7.01 g is
was found to be higher than the oil content of
reported 11.14% oil
by Soxhlet extraction. Similarly, El Maghraby and Fakhry
Rhodophyceae
,
The biodiesel prepared using 100 g algae oil, 20 g methanol, 0.7 g NaOH at 60 °C and 1½ h
as shown in Figure 2. The loss of 1.2 g
alcohol, residual catalyst and emulsion removed during
yield is set as one biodiesel
So, the
falls within the EN specification. This
The biodiesel yield obtained from this study is much higher than those reported by other
reported 60 and 80% biodiesel yield,
Methanol and biodiesel were mixed in the ratio of 27:3, agitated and settled for 30 min. As a
result, no formation of layer, turbidity and cloud was observed which indicates a positive result
were formed implying that the
released from combustion is an indication of the efficiency of the
combustion reaction. Table 1 shows that the time required for color change in gasoline and
is available the faster the color change
Dawit Firemichael et al.
Bull. Chem. Soc. Ethiop. 2020, 34(2)
254
takes place. When gasoline and biodiesel is burning more CO
2
is released than it is in kerosene
burning. Hence less time is required to cause color change in the universal indicator. This
indicates that the combustion efficiency of biodiesel is comparable with gasoline but better than
kerosene. Soot occurs when a combustion reaction is not complete. The more soot, the less
efficient the combustion process. As it can be seen in Table 1, the biodiesel forms less soot
compared to gasoline and kerosene. This is because algal biodiesel contains oxygen which
increases efficiency of combustion. In addition, it contains less of heavy oil residues that are
normally found in diesel fuel.
Table 1. Soot testing efficiency of biodiesel.
Fuel type
Time of color
change (min)
Initial color of
universal indicator
Soot observations at
glass funnel
Final color of
universal indicator
No Fuel (control)
- - - -
Diesel (gasoline)
5.7 Violet Medium soot Red
Biodiesel 6.0 Violet
Less soot Red
Kerosene 7.2 Violet
More soot Red
Refractive index is the other preliminary parameter that can be quickly evaluated. As can be
seen in Table 2, the biodiesel derived from C. glomerata has a refractive index of 1.437 which is
within the acceptable range. This implies that heavier molecules are converted into lighter one’s
during transesterification process. In general, the preliminary biodiesel quality test results
suggest that there is high probability that the biodiesel prepared would also meet the critical
quality test specifications.
Critical parameters quality test
From Table 2 it can be seen that most of the critical chemical and physical quality control
parameters are in good agreement with ASTM and EN test specifications.
Table 2. Biodiesel quality test result.
Properties ASTM and EN standard values Result of the p
resent
study
Method
Limits
Units
Methyl ester EN14103 96.5 % W 96.8
free glycerol D6584 0.02 Maximum Mass % 0.000247
Flash point Calculated 92 Minimum °C 103.0667
Refractive index ( 30°C) - 1.38 -1.49
1.437
Acid number D 974 0.50 Maximum mg KOH/g 0.197
Iodine value EN1411 120 Maximum g I/100g 101.4973
Kinematic viscosity ( 40 °C) D445 1.9 - 6.5 mm
2
/s 6.794
Cloud point D2500 Not given °C -3
Pour point D97 Not given °C
-7
Density (15 °C) EN14214 860-900 Kg/m
3
889
Specific gravity (15.56 °C) D1298 870 –900 Kg/m
3
891
Calorific value - - MJ/kg 39.37
Na + K content EN 14538 5 Maximum ppm 0.67
Ca +
Mg content
EN 14538
1 Max
imum
ppm
0.62
The properties of the fatty acid component and their structural features determine the fuel
properties of biodiesel. Important fuel properties influenced by the fatty acid profile include
density, specific gravity, acid value, pour and cloud point, viscosity and heat of combustion [30,
31]. The major fatty acid methyl ester composition of C. Glomerata was found to be
hexadeconic acid methyl ester (C16:0) (27%), 9-octadecenoic acid methyl ester (C18:1) (63%)
and octadecenoic acid methyl ester (C18:0) (10%). The mass spectra of these three fatty acid
methyl esters showed 99% spectral similarity with NIST-05 mass spectral library.
Production and characterization of biodiesel and glycerine pellet from macroalgae strain
Bull. Chem. Soc. Ethiop. 2020, 34(2)
255
The total content of unsaturated fatty acid methyl ester (63%) was found to be higher than
the total saturated fatty acid methyl esters (37%) in the biodiesel. This is further evidenced by
the higher iodine value (103.1 g I/100 g) which indicates the presence of more unsaturated fatty
acid methyl ester. The iodine value was also within the limit of EN standard (≤ 120 g I/100 g).
Free glycerol is an undesirable by product in the transesterification reactions. It is known to
cause clogging in fuel filters, injectors and deposit in the bottom of fuel storage tanks [25]. To
prevent these operational problems, ASTM and EN limits free glycerol to 0.02 weight percent
maximum. In the present work, free glycerol content of the biodiesel was determined to be 2.47
mg/ kg or 0.000247 weight percent, which is well below the ASTM and EN limit set.
Specific gravity has been described as one of the most basic and most important properties
of fuel because some important performance indicators such as cetane number and heating
values are associated with it [31]. From 10 to 60 °C, specific gravity values of palm oil biodiesel
have been reported to be 1.033413 to1.035419 times that of fossil diesel [32]. Similarly, the
specific gravity of the biodiesel from this study was found to be 1.0433255 times that of
petroleum diesel (at the reference temperature 15.56 °C). The specific gravity obtained (891
kg/m
3
) fall well within the limit specified for biodiesel fuels (870–900 kg/m
3
) by the ASTM
Standard. This value is also comparable with previous reports on palm kernel biodiesel (883
kg/m
3
), and soy bean biodiesel (880 kg/m
3
) [31, 32]. Density of the biodiesel (889 kg/m
3
) also
falls within EN (EN14214: 860-900) tolerable limit. It is also comparable with previous studies;
Eruca sativa (881 kg/m
3
), rapeseed (875 kg/m
3
), and spent frying oil (873 kg/m
3
) and frying oil
biodiesel (873 kg/m
3
) [33, 34].
The acid value indicates the degree of fuel ageing during storage, as it gradually increases
due to hydrolytic cleavage of ester bonds. High fuel acidity has been discussed in the context of
corrosion and the formation of deposits within the engine [30]. To mitigate these negative
effects, the EN and ASTM Standards allows a maximum acid value of 0.5 mg of KOH/g. The
acid value of the algae biodiesel gave 0.197 KOH/g which is in agreement with the specified
limit, implying that the algae biodiesel will not pose problem on the long-term performance of
the engine.
Cold flow properties of biodiesel are expressed in terms of cloud point (CP) and pour point
(PP). CP is the temperature at which a liquid fatty material becomes cloudy due to formation of
crystals while PP is the lowest temperature at which it will still flow [30]. The cloud and Pour
point of algae biodiesel was -3 and -7 °C, respectively. The CP and PP values of the algae
biodiesel in the present study, is much better than the CP and PP values of biodiesels derived
from other feed stocks (olive oil: -2 and -3 °C; rapeseed oil: -2 and-9 °C; soybean oil: 0 and -2
°C; sunflower oil: 2 and -1 °C; tallow: 17 and 15 °C) [30]. The saturated fatty acids have
significantly higher melting point than unsaturated fatty acids. For example, due to its high
content of saturated compounds, tallow and palm oil methyl esters have CP of 17 and 13 °C,
respectively. In contrast, feed stocks with relatively low concentrations of saturated long-chain
fatty acids generally yield biodiesel with much lower CP and PP [30, 35]. Thus, the lower CP
and PP value observed in the present study is attributable to the higher proportion of the
unsaturated methyl ester (C18:1) and less proportion of the saturated methyl esters (C18:0 and
C16:0) found in the algal biodiesel.
The kinematic viscosity (6.71 mm
2
/s) of the algae biodiesel was slightly higher than ASTM
(1.9-6.0 mm
2
/s) standard value. The nature of dominant fatty acids, carbon chain length, and
degree of saturation are important factors that determine viscosity [30, 35, 36]. For instance,
viscosity increases with the number of CH
2
moieties in the fatty ester chain and decreases with
an increasing unsaturation [37]. This implies that presence of multiple bonds imparted low
viscosity to biodiesel. Therefore, in the present study, the dominant monounsaturated oleic acid
(63%) is responsible for the slight increment of kinematic viscosity of the produced algae
biodiesel. Compared with the literature value, the viscosity of the algae biodiesel in the present
work (6.71 mm
2
/s) is much lower than castor oil biodiesel (10.43 mm
2
/s) [38].
Dawit Firemichael et al.
Bull. Chem. Soc. Ethiop. 2020, 34(2)
256
Heating of combustion (calorific value) of a fuel is the thermal energy released per unit
quantity of fuel when the fuel is burned completely, and the products of combustion are cooled
back to the initial temperature of the combustible mixtures. It measures the energy content in the
fuel. The calorific value of algae biodiesel reported in this study (39.37 MJ/kg) was found to be
comparable with previous studies on soybean (39.48 MJ/kg), rapeseed (39.46 MJ/kg), and
jatropha (39.45 MJ/kg) [39]. The calculated value of flash point for algae biodiesel was found to
be 103.0667 °C which is within ASTM (≥ 92 °C) recommended limit. Other parameters such as
alkaline (Na and K) and alkaline earth metal (Ca and Mg) content also meet the requirement
specified by ASTM (Table 2). It is well known that the content of these metals (Na, K, Ca and
Mg) in biodiesel is mainly determined by the efficiency of the washing step. The results indicate
that the washing procedure used was efficient in removal of these metals from the produced
algae biodiesel.
Glycerine pellet evaluation
A key element of this part of the study is energy estimation of glycerine pellet which is
produced in our laboratory. The bomb calorimeter result revealed that the glycerine pellet has
13.65 MJ/kg of energy. As it can be seen in Table 3, the energy content of glycerine pellet from
this study is comparable with other competing energy sources implying that it could be used as
an additional refuse derived fuel (RDF).The glycerine pellet burns cleaner than the coal
currently used as fuel in many industries. Additionally, since two pre-existing waste streams are
used to make the pellets, it doesn't require new raw materials. Also, the energy required for
making it is substantially less than the energy required to produce coal. Most importantly, the
glycerine pellet is nearly carbon-neutral fuel.
Table 3. Energy content of different RDF and glycerine pellet (Brady et al. [40]).
Fuel source Energy (MJ/kg)
Coal 11-24
Dry wood 14.7-17.4
Waste plastic 29-40
Household waste (RDF) 12-16
Household (RDF) 13-16
Paper sludge (RDF) 12.5-22
Waste wood 15-17
Glycerin pellet (from this study) 13.65
FAO [41] report indicates that 1 kg of fuel wood gives 13.8 MJ and one cubic meter of fuel
wood equals to 750 kg [42]. Based on this data, one cubic meter of fuel wood is equal to 758 kg
of glycerine pellet. Consequently, 1 kg glycerine pellet replaces 0.0013 cubic meter of fuel
wood. In general, the cost of raw material is often the biggest obstacle to large scale
commercialization of biodiesel. It is estimated to cost 70-85% of biodiesel production cost [43].
Therefore, utilization of biodiesel residuals to generate commercially important by products (i.e.
glycerine pellet) is a recommended approach to decrease the cost of biodiesel.
CONCLUSION
The green algae Cladophera glomerata oil was extracted and chemically converted via alkaline
transesterification reaction to biodiesel (fatty acid methyl ester). The oil yield obtained from C.
glomerta in this study is much better than most of the macroalgae strain reported from previous
studies. The biodiesel produced mainly composed of monounsaturated (63%) and saturated
(37%) fattyacids. All the determined parameters of algae biodiesel were found to comply with
ASTM and EN standard values implying its suitability as diesel fuel substitute. Furthermore, the
Production and characterization of biodiesel and glycerine pellet from macroalgae strain
Bull. Chem. Soc. Ethiop. 2020, 34(2)
257
glycerine pellet prepared, could also be used as an important source of fuel, replacing firewood
particularly in the developing nations like Ethiopia. However, large scale production for
commercial purposes requires optimization of different parameters such as glycerol to biomass
ratio, pellet size, a pilot scale operation and holistic economic evaluation of the production
process.
ACKNOWLEDGEMENTS
The authors acknowledge financial support by Giz-Ethiopia (Energy Coordination Office).
Furthermore, the following organization in Ethiopia: Minister of Water and Energy, Minister of
Agriculture, Health and Nutrition Research Institute and Petroleum Supply Enterprise are
gratefully acknowledged for providing laboratory facility.
REFERENCES
1. Bekirogullari, M.; Fragkopoulos, I.; Pittman, J.; Theodoropoulos, C. Production of lipid-
based fuels and chemicals from microalgae: An integrated experimental and model-based
optimization study. Algal Res. 2017, 23, 78-87.
2. Dong, T.; Knoshaug, E.P.; Davis, R.; Laurens, L.M.; Van Wychen, S.; Pienkos, P.T.; Nagle,
N. Combined algal processing: A novel integrated biorefinery process to produce algal
biofuels and bioproducts. Algal Res. 2016, 19, 316-323.
3. Wagutu, A.; Chhabra, S.; Thoruwa, C.; Thoruwa, T.; Mahunnah, R. Indigenous oil crops as
a source for production of biodiesel in Kenya. Bull. Chem. Soc. Ethiop. 2009, 23, 359-370.
4. Tang, Y.; Chen, G.; Zhang, J.; Lu, Y. Highly active CaO for the transesterification to
biodiesel production from rapeseed oil. Bull. Chem. Soc. Ethiop. 2011, 25, 37-42.
5. Liu, S.; Wang, Z.; Yu, S.; Xie, C. Transesterification of waste oil to biodiesel using
Brønsted acid ionic liquid as catalyst. Bull. Chem. Soc. Ethiop. 2013, 27, 289-294.
6. Ejigu, A.; Asfaw, A.; Asfaw, N.; Licence, P. Moringa stenopetala seed oil as a potential
feedstock for biodiesel production in Ethiopia. Green Chem. 2010, 12, 316-320.
7. Khan, A.M.; Khaliq, S.; Sadiq, R. Investigation of waste banana peels and radish leaves for
their biofuels potential. Bull. Chem. Soc. Ethiop. 2015, 29, 239-245.
8. Moser, B.R. Camelina (Camelina sativa L.) oil as a biofuels feedstock: Golden opportunity
or false hope? Lipid Technol. 2010, 22, 270-273.
9. Brennan, L.; Owende, P. Biofuels from microalgae—a review of technologies for
production, processing, and extractions of biofuels and co-products. Renew. Sustain. Energy
Rev. 2010, 14, 557-577.
10. Arun, N.; Singh, D. Microalgae: the future fuel. J Algal Biomass Utln 2012, 3, 46-54.
11. Demirbas, A.; Demirbas, M.F. Importance of algae oil as a source of biodiesel. Energy
Convers. Manage. 2011, 52, 163-170.
12. Chisti, Y. Biodiesel from microalgae. Biotechnol. Adv. 2007, 25, 294-306.
13. Chisti, Y. Response to Reijnders: do biofuels from microalgae beat biofuels from terrestrial
plants? Trends Biotechnol. 2008, 26, 351-352.
14. Menetrez, M.Y. An overview of algae biofuel production and potential environmental
impact. Environ. Sci. Technol. 2012, 46, 7073-7085.
15. McHugh, D.J. A guide to the seaweed industry FAO Fisheries Technical Paper 441. Food
and Agriculture Organization of the United Nations: Rome; 2003.
16. Tripathi, R.; Singh, J.; Thakur, I.S. Characterization of microalga Scenedesmus sp. ISTGA1
for potential CO
2
sequestration and biodiesel production. Renew. Energy 2015, 74, 774-781.
17. Kumar, M.; Sharma, M.P. Potential assessment of microalgal oils for biodiesel production:
A review. J. Mater. Environ. Sci. 2014, 5, 757-766.
18. Saifullah, A.; Karim, M.A.; Ahmad-Yazid, A. Microalgae: an alternative source of
renewable energy. Am. J. Eng. Res. 2014, 3, 330-338.
19. Guide to fuels from macroalgae. http://www.oilgae.com
.
Accessed on January 13, 2015.
20. Murphy, F.; Devlin, G.; Deverell, R.; McDonnell, K. Biofuel production in Ireland—an
approach to 2020 targets with a focus on algal biomass. Energies 2013, 6, 6391-6412.
Dawit Firemichael et al.
Bull. Chem. Soc. Ethiop. 2020, 34(2)
258
21. Suganya, T.; Gandhi, N.N.; Renganathan, S. Production of algal biodiesel from marine
macroalgae Enteromorpha compressa by two step process: Optimization and kinetic study.
Bioresour. Technol. 2013, 128, 392-400.
22. Maceiras, R.; Rodrı, M.; Cancela, A.; Urréjola, S.; Sánchez, A. Macroalgae: Raw material
for biodiesel production. Appl. Energy 2011, 88, 3318-3323.
23. Refaat, A.; El Sheltawy, S.; Sadek, K. Optimum reaction time, performance and exhaust
emissions of biodiesel produced by microwave irradiation. Int. J. Environ. Sci. Technol.
2008, 5, 315-322.
24. Muthukumar, A.; Elayaraja, S.; Ajithkumar, T.; Kumaresan, S.; Balasubramanian, T.
Biodiesel production from marine microalgae Chlorella marina and Nannochloropsis
salina. J. Petrol. Technol. Alter. Fuels 2012, 3, 58-62.
25. Ejigu, A.; Asfaw, A.; Asfaw, N.; Licence, P. Moringa stenopetala seed oil as a potential
feedstock for biodiesel production in Ethiopia. Green Chem. 2010, 12, 316-320.
26. Keppy, N.; Allen, M. The determination of HMF in honey with an evolution array UV-
visible spectrophotometer. Thermo Scientific, Application Note 2009, 51864.
27. Sivaramakrishnan, K.; Ravikumar, P. Determination of higher heating value of biodiesels.
Int. J. Eng. Sci. Technol. 2011, 3, 7981-7987.
28. El Maghraby, D.M.; Fakhry, E.M. Lipid content and fatty acid composition of
Mediterranean macro-algae as dynamic factors for biodiesel production. Oceanologia 2015,
57, 86-92.
29. Mondal, P. Production of biodiesel from algal biomass collected from Solani River using
ultrasonic technique. Int. J. Renew. Energy Res. (IJRER) 2014, 4, 714-724.
30. Refaat, A. Correlation between the chemical structure of biodiesel and its physical
properties. Int. J. Environ. Sci. Technol. 2009, 6, 677-694.
31. Tat, M.E.; Wang, P.S.; Van Gerpen, J.H.; Clemente, T.E. Exhaust emissions from an engine
fueled with biodiesel from higholeic soybeans. J. Am. Oil Chem. Soc. 2007, 84, 865-869.
32. Alamu, O.; Waheed, M.; Jekayinfa, S. Alkali-catalysed laboratory production and testing of
biodiesel fuel from Nigerian palm kernel oil. Agric. Eng. Int.: CIGR J. 2007, 9, EE 07 009.
33. Chakrabarti, M.H.; Ahmad, R. Investigating possibility of using least desirable edible oil of
Eruca sativa L., in biodiesel production. Pak. J. Botany 2009, 41, 481-487.
34. Weber, N.; Weitkamp, P.; Mukherjee, K.D. Fatty acid steryl, stanyl, and steroid esters by
esterification and transesterification in vacuo using Candida rugosa lipase as catalyst. J.
Agric. Food Chem. 2001, 49, 67-71.
35. Knothe, G. Dependence of biodiesel fuel properties on the structure of fatty acid alkyl esters.
Fuel Process. Technol. 2005, 86, 1059-1070.
36. Knothe, G.; Steidley, K.R. Kinematic viscosity of biodiesel components (fatty acid alkyl
esters) and related compounds at low temperatures. Fuel 2007, 86, 2560-2567.
37. Sokoto, M.; Hassan, L.; Dangoggo, S.; Ahmad, H.; Uba, A. Influence of fatty acid methyl
esters on fuel properties of biodiesel produced from the seeds oil of Curcubita pepo. Nig. J.
Basic Appl. Sci. 2011, 19, 81-86.
38. Makanju, A.; Bello, E. Production, characterization and evaluation of castor oil biodiesel as
alternative fuel for diesel engines. J. Emerg. Trends Eng. Appl. Sci. 2011, 2, 525-530.
39. Oliveira, L.; Da Silva, M. Relationship between cetane number and calorific value of
biodiesel from Tilapia visceral oil blends with mineral diesel. Renew. Energy Power Quality
J. 2013, 1, 2172-2038.
40. Zero waste biodiesel: Using glycerin and biomass to create renewable energy. Available at:
http://www.ugrj.ucr.edu/journal/volume2/SeanBrady.pdf. Accessed January 18, 2015.
41. Masera, O.R.; Drigo, R.; Trossero, M.A.: Woodfuels integrated supply/demand overview
mapping (WISDOM); Food and Agriculture Organization of the United Nations, 2003.
42. Department, A.O.o.t. U.N.F.; Branch, A.O.o.t.U.N.M.W.P.: Simple technologies for
charcoal making, Vol. 41, Food and Agriculture Organization, 1983.
43. Andualem, B.; Gessesse, A. Production and characterization of biodiesel from brebra (M.
ferruginea) seed non-edible oil. Biotechnol. 2012, 11, 217-224.
... Temperature conditions have a significant impact on viscosity [8]. In biodiesel, PUFAs also enhance viscosity and sedimentation [83]. In our results, the calculated value of kinematic viscosity was slightly higher when compared to the standard value at both conditions (nitrogen and temperature). ...
... Only in the case of KU_MA6 grown at 21 °C do the calculated values from FAMEs profiling meet the standard values (Table 5). Similar findings were noted in an experiment where the kinematic viscosity (6.71 mm 2 s −1 ) of the algae biodiesel was achieved slightly greater than the ASTM standard value [83]. The type of dominant FAs, carbon chain length, and degree of unsaturation are important variables that affect viscosity [84]. ...
Article
Full-text available
Microalgae have grabbed huge attention as a potential feedstock for biofuel production in response to the rise in energy consumption and the energy crisis. In the present study, indigenous microalgal strains were isolated from four freshwater lakes in the Kumaun region, Uttarakhand, India. Based on growth and lipid profiles, the four best-performing isolates were selected for further experiments. Initial identification of isolates was done by morphological observations, which were further validated by molecular identification using ITS sequencing. The screened cultures were subjected to abiotic stress conditions (varying concentrations of nitrogen and different temperatures) to monitor the biomass, lipid accumulation, and biochemical compositions (chlorophyll and carotenoids). The quantification of fatty acids was checked via gas chromatographic analysis. The strains were identified as KU_MA3 Chlamydopodium starrii, KU_MA4 Tetradesmus nygaardii, KU_MA5 Desmodesmus intermedius, and KU_MA6 Tetradesmus nygaardii. KU_MA3 Chlamydopodium starrii showed the best results in terms of growth and lipid production at 21 °C and 0.37 g/L NaNO2 concentration. The percentage of fatty acid methyl esters (FAMEs) attained >80% and met the standard for biodiesel properties. The strain has the potential to attain higher biomass and accumulate higher lipid content, and after some more studies, it can be used for upscaling processes and large-scale biodiesel production.
... The animals are slaughtered in a slaughterhouse to produce their byproducts for human welfare. Animal fat is a good source of food, and it is a good source of vitamin A, D & E [12]. Global industries produce seven essential food products by using animal fats. ...
Article
Full-text available
The present work utilizes the traditional methods for extracting, purifying, and estimating fat samples from Capra hircus. Through the Soxhlet method extracted, the animal fat sample and a rotatory evaporator were used to refine it. The purified sample was analyzed with the help of an FT-IR spectroscopic device and detected the different functional groups. These functional groups represented saturated and unsaturated fatty acids. Different parameters evaluated the analytical properties of the fat sample. It observed that the fats of Capra hircus consist of pH value 6.7, melting point 36-56ºC, refractive index 1.448-1.460, specific gravity 0.90, density 0.85-0.90, iodine value 55-60 I2/100gm, and the smoke point is 0.2% at 210ºC respectively. Finally, we concluded that the fat of Capra hircus in different food products, including ice cream, chocolate, cheese, pastries, chewing gums, potato chips, and hard candy, will be commonly utilized.
... Diesel engines may now run-on biodiesel, which is made from methyl esters of fatty acids derived from fats and seed oils [5]. Due to its clean combustion behavior, renewability, and biodegradability, biodiesel appears to be the most environmentally friendly biofuel [6]. ...
Article
This paper focused on the engine characteristics of a diesel engine fuelled using ternary blends. Initially, pumpkin and maize biodiesel were mixed in a volume ratio of 50:50. With a constant 0.5% diethyl ether (DEE) content, the binary combination of pumpkin and maize biodiesel was mixed with diesel at proportions of 10:90, 20:80, 30:70, 40:60, and 50:50 by volume. The prepared ternary mixtures were evaluated at varying engine loads to improve engine performance. Compared to diesel, the tested ternary blends had a reduced brake thermal efficiency (BTE). However, up to a 30% blending ratio, the BTE demonstrated by ternary blends was within the range of less than 0.5% concerning diesel fuel. The ternary blends' BSFC declined as the binary biodiesel mix increased. Diesel has a brake specific fuel consumption (BSFC) of 1.4%, 2.2%, and 3.4% lower than the ternary blends of 10%, 20%, and 30%. The decrease in the heat release rate of the ternary mixes meant that emitted less CO and NOx than diesel. In contrast, ternary blends exhibited an increasing trend in smoke and HC emissions because of the rise in incomplete combustion that occurs as biodiesel content rises. Therefore, with appropriate engine modifications, the pumpkin and maize binary biodiesel blend can replace diesel by up to 30%. KEY WORDS: Biodiesels, Binary blend, DEE, Ternary blend, Efficiency Bull. Chem. Soc. Ethiop. 2024, 38(4), 1145-1161. DOI: https://dx.doi.org/10.4314/bcse.v38i4.26
... It can be difficult to properly dispose of or use this glycerin. Inadequate methods of treatment or disposal might result in environmental pollution and problems with waste management [42][43] . For conventional biodiesel production, it is still difficult to come up with economically sensible and longlasting uses for glycerin byproducts. ...
Article
Full-text available
The consumption of fossil fuels has experienced a significant increase in recent decades, despite the various challenges it poses, including air pollution, environmental degradation, health issues, and limited resources. In order to mitigate these concerns and capitalize on the environmental benefits and availability of alternative energy sources, biofuels, such as biodiesel, have emerged as viable substitutes for fossil fuels. Biodiesel production, however, is a complex process that involves identifying intricate nonlinear relationships between input and output data. To effectively design, manage, control, optimize, and monitor biodiesel production systems, accurate and efficient modeling tools like machine learning (ML) and artificial intelligence (AI) are necessary. Among the different modeling methods used in biodiesel production, machine learning has shown great potential in providing highly accurate predictions. Inspired by the autolearning and self-improving capabilities of the human brain, machine learning techniques offer superior performance in solving the complex challenges associated with (trans)esterification processes, physicochemical properties, and real-time monitoring of biodiesel systems. Applications of machine learning in the production phase encompass optimization and estimation of biodiesel quality, determination of process conditions and quantities, estimation of emissions composition and temperature, and analysis of motor performance. Key input parameters include oil and catalyst types, methanol-to-oil ratio, catalyst concentration, reaction time, domain, and frequency, while the output parameter of interest is fatty methyl acid ester. This paper presents a comprehensive review that discusses the advantages, disadvantages, and diverse applications of machine learning technologies in biodiesel production. It primarily focuses on recently published articles spanning from 2010 to 2021, with the aim of providing valuable insights for decision-making, optimization, modeling, control, monitoring, and forecasting of biodiesel production processes. By leveraging machine learning techniques, biodiesel producers can enhance their operational efficiency, improve product quality, and make informed decisions to ensure the sustainability and effectiveness of biodiesel production.
... About 80% of the world's current energy usage is sourced from natural gas, coal and oil which are non-renewable fossil fuels [2]. Fossil fuels have adverse impacts on the environment and have caused an increase in the global total mortality rate and a decrease in the mean life expectancy arising from chronic diseases attributable to emissions during utilization [3]. Besides, currently there has been an upward trend in the prices of crude oil, especially in the regions known to produce oil in bulk. ...
Article
Bio-ethanol is a promising renewable energy but its production is expensive from high cost of feedstocks. In this study, sweet sorghum (Sorghum bicolor (L.) Moench) stalk juice was investigated for bio-ethanol production. Most reports on bio-ethanol productions use commercial Saccharomyces cerevisiae as yeast. However, this study used finger millet (Eleusine coracana) malt with already high adaptation to local conditions and high economic viability as it is being utilized by the indigenous communities. Five sweet sorghum varieties of IESV-92001-DL (V1), NTJ (V2), 15233-IESV (V3), 92008-DJ (V4) and IESV-92028-DL (V5) were planted at 0°3'45.4644" North, 34°17'16.1052" South, in Kenya. °Brix content of juice was determined at 11th to 16th weeks after sowing. Highest °Brix for all varieties were at 15th week where V1 was highest at 22.07. V1 was then harvested for the juice. Factors affecting fermentation; temperature, time, pH and yeast to substrate ratio were optimized using Taguchi method and were obtained as 30 ℃, 48 hours, pH 5 and 5 g/L, respectively. Kinetics parameters of Vmax and Km were 0.35 g/L/h and 12.56 g/L, respectively. The optimized and kinetic parameters were within literature values and therefore finger millet malt has a great potential, as a substitute yeast source, in commercial bio-ethanol production. KEY WORDS: Bio-ethanol, Sweet sorghum juice, Taguchi method Bull. Chem. Soc. Ethiop. 2024, 38(1), 55-67. DOI: https://dx.doi.org/10.4314/bcse.v38i1.5
... Therefore, in such scenarios of raising issues of limited quantity, increasing demand and negative environmental impacts going for alternative is best practical way Hoang et al. 2021; Almarashi et al. 2020) like biofuels including biodiesel, which is sustainable, biodegradable, low sulphur content and renewable fuel (Ingle et al. 2020; Sha q et al. 2020). It is consist of mono-alkyl esters of long chain fatty acids mixture (Firemichael et al. 2020). It has low environmental impacts than conventional fuel with reduced emissions and free of aromatic compounds (Da Costa Cardoso et al. 2019; Saravanan et al. 2020) and increases energy security as well (Chandran 2020;Forsberg et al. 2021;Ge et al. 2021). ...
Preprint
Full-text available
Biodiesel is an alternative, sustainable, eco-friendly, clean, biodegradable fuel that helps to get rid of fossil fuels that are not only depleting but also causing health issues for humans and environment. In present study, waste animal fats (fish and chicken waste) and aquatic weeds ( Eichhornia crassipes, Pistia stratiotes and Lemna minor ) were utilized as oil source for biodiesel production. Highest lipid content shown by fish waste oil that was 36% then followed by 33% in chicken waste oil, 16.7% in Eichhornia crassipies oil, 12.6% in Lemna minor oil and 4.11% in Pistia Stratiotes oil. Fatty acids converted into fatty acid methyl esters (biodiesel) through transesterification method. Then characterized by GCMS that confirmed the presence of highest percentages like 51% of oleic acid in Chicken waste oil biodiesel, 35.7% of palmitic acid in Fish waste oil biodiesel, 14.6% of palmitoleic acid in Eichhornia crassipies oil biodiesel, 61.7% of phthalic acid in Lemna minor oil biodiesel and 10.9% of linoleic acid in Pistia Stratiotes oil biodiesel. Physicochemical analysis of each biodiesel confirmed within the ASTM standard. Emission performance of biodiesel and petro-diesel blends showed maximum decrement in CO (26%, 22%, 24% and 23%), NO (90%, 80%, 60% and 60%), SO 2 (70%, 87%, 87% and 83%)and smoke (25%, 50%, 25% and 62%) were observed in fish waste oil biodiesel, Eichhornia crassipies oil biodiesel, Pistia Stratiotes oil biodiesel and Lemna minor oil biodiesel respectively. Similarly increment in CO 2 (3.75%, 3.8%, 3.72%, and 3.8%) and O 2 (11.62%, 11.32%, 11.57% and 11.68%) was observed respectively because biodiesel have more oxygen content that make the complete combustion of fuel. Thus, biodiesel can adopted as an alternative fuel having less environment impact.
... But, their involvement in the food cycle paved the way for looking into alternative renewable source. Algal biomass considered to be the suitable feedstock and was investigated in recent years due to their lipid, carbohydrate and protein content for biofuels and various other by-products production (Firemichael et al., 2020). Marine macroalgae normally possess oil content between the range of 2-18%. ...
Article
The investigation on utilizing macroalgae for industrial scale biodiesel production is an imperative action needed for commercialization. In the present research work, the biooil from marine macroalgae Dictyota bartayresiana was used for biodiesel production using calcium oxide nanocatalyst synthesized using waste collected from building demolition site. The optimization results obtained were the calcination temperature 573°C, concentration of catalyst 5.62%, methanol to oil molar ratio 14.36:1, temperature 55.7 °C and time 67.57 min for the transesterification with the biodiesel yield of 89.6%. The techno-economic aspects of biodiesel production were investigated for 20 MT/batch. The return on investment and internal rate of return from the biodiesel production plant was found to be 25.39% and 31.13% respectively. The plant payback period was about 3.94 years with a positive NPV value of about 14,053,000 $/yr. Thus, Dictyota bartayresiana biomass can be efficiently used for the sustainable production of biodiesel.
... Viscosity measurement of the WVO (as well as virgin canola oil) and biodiesel was performed using both a rotating spindle viscometer, and calibrated capillary tube viscometers. Product quality was checked using the Warnquist 27/3 test [28,29] which give a subjective confirmation of biodiesel quality. Yield measurements were then utilized to assess the success of each production run, to deduce the operational parameters that minimized inefficient use of the reactants and catalysts. ...
Conference Paper
Full-text available
This paper investigates the use of waste vegetable oil (WVO) for production of biodiesel. The goal of this study was to explore the improvement of biodiesel production to achieve high yields. Different oil streams, including virgin canola oil and WVO, were used as the raw material for the transesterification processes. These oils had different fatty acid contents as a result of environmental or previous processing conditions. The main objective of this study was to assess the impact of free fatty acid (FFA) content on the resulting yield. In addition, the yield was influenced by production parameters such as reaction time, reaction temperature, molar/volume ratios of oil to alcohol, catalyst amount, and mechanical mixing. This was accomplished by automating the biodiesel production from WVO, thereby achieving improved processing and requiring minimal direct human involvement. A biodiesel production apparatus was developed with a Raspberry Pi 3 microcomputer to control the process. It was shown that the particular choice of these process parameters depended on the particular oil type. This research used mixtures of virgin and waste vegetable oils at different volume ratios (oil to alcohol) of 4:1, 6:1, and 8:1, which was determined by the FFA content of the oil. In addition to mechanical mixing, ultrasonication rated at 500W, 20kHz was used to enhance mixing by adding 450 kJ to the process, thereby reducing both the processing time and the amount of methoxide needed to perform a base-catalyzed transesterification. The production temperature was held within the range of 50–65°C. This research demonstrated that optimal yield depends on temperature, catalyst concentration, FFA content of the oil, and the energy introduced by sonication. A 96% yield was achieved with the following parameters: an oil to methanol volume ratio of 6:1, 0.6% weight concentration of catalyst (NaOH) at 6.25 g, and FFA values of approximately 5%. It was determined that the proposed system can produce acceptable quality biodiesel.
... Firstly, Atmanli [6] turned into a paste the microalgae cultivars, namely Scenedesmus dimorphus and Isochrysis aff. galbana, by glass fiber membrane filtration technique, and then they produced biodiesel from the vegetable oil obtained from them by [61] determined some critical parameters of biodiesel produced by transesterification technique from oil obtained by soxhlet extraction from Cladophora glomerata, a macroalgae structure and dehydrated at 80 • C. In this context, cloud point, calorific value, density, biodiesel yield, and refractive index matched the relevant findings in our study. Contrarily, their kinematic viscosity was 14% higher than ours. ...
Article
In the study, seven microalgae species called Nitzschia sp., Nannochloropsis sp., Botryococcus braunii, Neochloris oleoabundans, Schizochytrium sp., Chlorella vulgaris L., and Chlorella variabiilis L. were dried by four drying methods: spray, convective, vacuum, and microwave. Biodiesel was produced from dried microalgae via transesterification. The vegetable oil yield was the maximum in spray and vacuum dried Schizochytrium with 35.50 and %34.53, respectively. Similarly, the highest biodiesel yield with 100% was obtained in Schizochytrium dried by spray technique. However, the cloud point of − 1.77 ◦C was the lowest in Botryococcus braunii samples dehydrated by microwave drying. The highest pour point with − 10.13 ◦C was obtained in microwave dried Chlorella variabilis samples, but the maximum freezing point was found in the microwave and convective dried samples of Chlorella variabilis with − 13.60 and − 13.70 ◦C, respectively. The lowest water content was measured in biodiesel samples from Botryococcus braunii, Chlorella vulgaris, and Chlorella variabilis dried by microwave technique. However, the best results regarding calorific value were found in Schizochytrium samples dried by spray and vacuum. The viscosity with 6.08 mm2 s − 1 and density with 0.90 g cm− 3 of Botryococcus braunii dried by the microwave method were at the maximum. Interestingly, two species commonly used in biodiesel production, Chlorella vulgaris and Chlorella variabilis, could not meet the expectations regarding quality parameters. Also, Schizochytrium and Nitzschia were deter- mined as the most suitable microalgae species for the quality standards for biodiesel production. Compared to the others, the most successful results were obtained in the biodiesel produced from Schizochytrium dried spray drying
Article
Full-text available
Cultivation of microalgae is a promising long-term, sustainable candidate for biomass and oil for the production of fuel, food, nutraceuticals and other added-value products. Attention has been drawn to the use of computational and experimental validation studies aiming at the optimisation and the control of microalgal oil productivity either through the improvement of the growth mechanism or through the application of metabolic engineering methods to microalgae. Optimisation of such a system can be achieved through the evaluation of organic carbon sources, nutrients and water supply, leading to high oil yield. The main objective of this work is to develop a novel integrated experimental and computational approach, utilising a microalgal strain grown at bench-scale, with the aim to systematically identify the conditions that optimise growth and lipid production, in order to ultimately develop a cost-effective process to improve the system economic viability and overall sustainability. To achieve this, a detailed model has been constructed through a multi-parameter quantification methodology taking into account photo-heterotrophic biomass growth. The corresponding growth rate is based on carbon substrate concentration, nitrogen and light availability. The developed model also considers the pH of the medium. Parameter estimation was undertaken using the proposed model in conjunction with an extensive number of experimental data taken at a range of operating conditions. The model was validated and utilised to determine the optimal operating conditions for bench-scale batch lipid oil production.
Article
Full-text available
The calorific value indicates the energy available in the fuel. It is therefore an important parameter to compare the consumption of biodiesel compared to mineral diesel. Another important feature is the cetane number, which measures the ignition quality of diesel fuel. A high cetane number indicates that the fuel will ignite faster than those with a lower value of this parameter. This work aims to obtain experimentally and compare the cetane number and calorific value of different blends of biodiesel from Tilapia visceral oil with petroleum diesel (B5, B10, B15, B20 and B30). The results show that the B5 blend has the highest calorific value (∆H= 44488.0 J g-1) followed by B10 (∆H = 44275.0 J g-1), B15 (H = 44053.0 g J-1), B20 (∆H = 43829.0 J g-1) and B30 (∆H = 42895.0 g J-1). However, the B5 blend have the lowest cetane number (47.7% vol), followed by B10 blend (53.0 vol%), B15 (58.6 vol%), B20 (62.5 % vol) and B30 (73.1 % vol). The increase of the studied biodiesel in blends with petroleum diesel improves the ignition quality of these blends. However, it decreases the calorific value of this same fuel.
Article
Full-text available
The development of an integrated biorefinery process capable of producing multiple products is crucial for commercialization of microalgal biofuel production. Dilute acid pretreatment has been demonstrated as an efficient approach to utilize algal biomass more fully, by hydrolyzing microalgal carbohydrates into fermentable sugars, while making the lipids more extractable, and a protein fraction available for other products. Previously, we have shown that sugar-rich liquor could be separated from solid residue by solid–liquid separation (SLS) to produce ethanol via fermentation. However, process modeling has revealed that approximately 37% of the soluble sugars were lost in the solid cake after the SLS. Herein, a Combined Algal Processing (CAP) approach with a simplified configuration has been developed to improve the total energy yield. In CAP, whole algal slurry after acid pretreatment is directly used for ethanol fermentation. The ethanol and microalgal lipids can be sequentially recovered from the fermentation broth by thermal treatment and solvent extraction. Almost all the monomeric fermentable sugars can be utilized for ethanol production without compromising the lipid recovery. The techno-economic analysis (TEA) indicates that the CAP can reduce microalgal biofuel cost by $0.95 per gallon gasoline equivalent (GGE), which is a 9% reduction compared to the previous biorefinery scenario.
Article
Full-text available
This paper presents an overview on the potentiality of microalgae with particular emphasis as a sustainable renewable energy source for biodiesel. One of the most important dilemmas of the modern world is to supply maximal amount of energy with minimal environmental impact. The total energy demand of our planet is increasing with population growth whereas the fossil fuel reserves are dwindling swiftly. Biodiesel produced from biomass is widely considered to be one of the most sustainable alternatives to fossil fuels and a viable means for energy security and environmental and economic sustainability. But as a large area of arable land is required to cultivate biodiesel producing terrestrial plants, it may lead towards food scarcity and deforestation. Microalgae have a number of characteristics that allow the production concepts of biodiesel which are significantly more sustainable than their alternatives. Microalgae possess high biomass productivity, oils with high lipid content, fast growth rates, possibility of utilizing marginal and infertile land, capable of growing in salt water and waste streams, and capable of utilizing solar light and CO2 gas as nutrients.
Article
Full-text available
This article is mainly based on the production of biodiesel and bioethanol from waste banana peels and radish leaves. The oily content from both the samples were converted to biodiesel by acid catalyzed and base catalyzed transesterification using methanol and ethanol. The biodiesel so obtained was subjected to analysis in accordance with the American Standard for Testing Materials (ASTM). The carbohydrates were extracted by distilled water and characterized by physical, chemical and biochemical methods. The carbohydrates were subjected to anaerobic fermentation using Saccharomyces cerevisiae to produce bioethanol which was confirmed by the preparation of UV active derivatives namely ethyl benzoate and ethyl salicylate. The highest % yield of fatty acid methyl ester and fatty acid ethyl ester was found to be 75% and 38%, respectively. The yield of bioethanol from banana peels and radish leaves was found to be 1.37% and 1.23%, respectively.
Article
Full-text available
Oil extracted from the seeds of Curcubita pepo was transesterified using potassium hydroxide in methanol. Fatty acid methyl esters (FAME) profile of the produced diesel was analyzed using Gas chromatograph coupled with mass spectrophotometer (GC-MS). The results indicate the presence of methyl (12E)-octadecenotate as the dominant ester with approximate percentage by composition of 82.90%. Other esters detected were methyl tetradecanoate (0.4%), methyl eicosonoate (2.48%), methyl docosanoate (0.97%) methyl teracosanoate (0.47%). Some critical fuel parameters like oxidation stability, cetane number, iodine value and viscosity were correlated with the methyl ester composition and structural configuration. It was found that the cetane number and oxidation stability of the produced biodiesel is a function of the degree of unsaturation and long chain saturated factor. The profile of methyl esters in the biodiesel produced indicates its likelihood to be a viable fuel source for internal combustion engines.
Article
Full-text available
Using the total lipid contents and fatty acid profiles, the marine macro-algae Jania rubens (Rhodophyceae), Ulva linza (Chlorophyceae) and Padina pavonica (Phaeophyceae) were evaluated for biodiesel production during the spring, summer and autumn. Seawater parameters such as pH, salinity and temperature were measured. The total lipid content varied from 1.56% (J. rubens) to 4.14% (U. linza) of dry weight, with the highest values occurring in spring. The fatty acid methyl ester profiles were analysed using gas chromatography. The highest percentage of total fatty acids was recorded in P. pavonica, with 6.2% in autumn, whereas the lowest was in J. rubens, with 68.6% in summer. The relative amount of saturated to unsaturated fatty acids was significantly higher in P. pavonica than in the other macro-algae. Seasonal variations in pH, salinity and temperature had no significant effect on the total lipid and fatty acid contents. Principal component analysis grouped brown and green algae together, whereas red alga grouped out. Furthermore, methyl ester profiles indicate that brown and green seaweeds are preferred, followed by red seaweeds, which appears to have little potential for oil-based products. Therefore, these seaweeds are not targets for biodiesel production.