Optimization of Biodiesel Production from Jatropha Seed Oil, Using Sulphated Zirconia as Catalyst.
Received Date: Apr 02, 2018 / Accepted Date: Apr 09, 2018 / Published Date: Apr 12, 2018
The depletion of fossils fuels and increasing demand of conventional energy worldwide had been the main concern of scientist nowadays, in the process to find the sustainable alternative. The biodiesel appears to be promising alternative. The optimization of biodiesel production from Jatropha seed oil using sulphated zirconia as catalyst was investigated based on Box-behnken design. The optimum yield 97.91% was obtained at 1:8 oil to methanol ratio, 60°C reaction temperature, 2.15 hrs, and 2 w/w% catalyst loads. The response surface regression shows the variables constant, oil to methanol ratio, reaction temperature, reaction time, reaction temperature*reaction temperature and methanol to oil*catalyst load were significantly affect the biodiesel yield. The model adequately accounts for the empirical relationships between biodiesel and process variables.
Keywords: Biodiesel; Sulphated zirconia; Jatropha oil; Optimization; Transesterification
Biodiesel is an alternative fuel for diesel engines that is produced by chemically reacting a vegetable oil or animal fat with an alcohol such as methanol. The reaction requires a catalyst, which is usually a strong base, such as sodium as sodium or potassium hydroxide to produces new chemical compounds called methyl esters, this ester is also known as biodiesel . Chemically, biodiesel is defined as mono alkyl esters of long chain fatty acids derived from renewable bio-lipids. It is typically produced through reaction of a vegetable oil or animal fat with methanol or ethanol in the presence of a catalyst to yield methyl or methyl esters (biodiesel) and glycerol .
Biodiesel may be defined as a domestic and renewable fuel for diesel engines derived from vegetable biodiesel oil. Biodiesel is a clear amberyellow liquid with a viscosity like petrol-diesel in a non-explosive form, it has a flash point of 423 K when compared to 337 K for petrol-diesel. Unlike petrol, biodiesel is biologically gradable and nontoxic, also reduces toxic significantly when burned in air as fuel. The production of biodiesel is more expensive compared to that of petrol-diesel, which is why there are less production and consumption of biodiesel .
The most common way to produce biodiesel is by transesterification of triglycerides of refined/edible types of oils using alcohol, in the presence of an acid or a basic catalyst . In principle, although the transesterification is a reversible reaction, the back reaction does not occur or is negligible because the glycerol formed is not miscible with the biodiesel, leading to a two-phase system, similar yields of biodiesel can be obtained using either methanol (Figure 1). However, the reaction time is shorter in the methanolysis and is due to the physical and chemical properties of methanol which have short chain of alcohol and polar character. Instances are reported that the production of biodiesel from castor oil was faster with methanol compared to ethanol .
Materials and Methods
Jatropha seed was obtained from Sokoto Energy Research Centre, Usmanu Danfodiyo University Sokoto premises, Sokoto State, Nigeria.
Sample preparation/Extraction of oil
The seed was sundried to remove moisture content and grinded to powdered form. The Jatropha oil extraction was carried out by Soxhlet extraction method, as stated by Akpan .
Preparation of catalyst
The sulphated zirconia catalyst was prepared heterogeneously by a method called Ameliorated method as reported by Hara and Miyayama .
The transesterification of Jatropha oil using sulphated zirconia was conducted under optimized condition. The optimization parameters of transesterification to be considered are oil to methanol ratio, reaction temperature (°C), reaction time (hrs) and catalyst load (w/w%) which was observed at different level under the same agitation (600 rev/min).
Design of experiments
The experiment was designed using Box-Behnken design on Minitab 17 Statistical Software. The effect of four factors i.e., oil to methanol ratio, reaction time, reaction temperature and catalyst load (Table 1) at upper and lower level on yield were analyzed.
|Factors level||Units||Upper Level||Lower Level|
|Methanol to Oil ratio||-||8:01||6:01|
Table 1: Optimization parameters of the transesterification.
Transesterification of the oil into biodiesel
The pretreated Jatropha oil (20 g) was placed in two necked round bottom flask, placed on hot plate magnetic stirrer heated to 50°C and stirring at 600 rv/m. the methanol was mixed with 0.6 g (3 w/w%) catalyst load of sulphated zirconia in a beaker and heated to 40°C in water bath, then transferred into two necked round bottom flask containing oil. The reaction mixture under the same condition was allowed for 2.15 hrs. The mixture was then transferred into a separating funnel and allowed to separate overnight under gravity. Two distinct layers were observed, a dark bottom layer which is the glycerol and the light upper layer which is the biodiesel, in some cases when the layer did not separate distinctly enough, equal amount of distilled water and n-Hexane is added to aid the separation. After which the biodiesel was washed by adding 20% volume of warm distilled water and agitated gently for 5 minutes. The mixture could settle into a two layer from which the biodiesel was separated from the impurities, glycerol and water. The biodiesel was washed three times with distilled water to remove impurities and any remaining residual methanol . The same procedure was applied for runs in the design. The biodiesel yield was calculated using equation 1.
Biodiesel yield=Actual weight/Theoretical weight × 100 (1)
Results and Discussion
The results obtained from the optimized variables of biodiesel production from Jatropha seed oil is represented in the Table 2.
|StdOrder||RunOrder||PtType||Blocks||Methanol to Oil ratio||Reaction Temperature||Reaction Time (hrs)||Catalyst Load||Yield (%)|
Table 2: Box Behnken design with biodiesel yield obtained in each run.
Optimization of transesterification reactions
The response surface regression was using to analyze the effect of the transesterification variables. The ‘P’ value was used to identify whether the variable or their interactions are statistically significant or not. The variable with p-value, greater than 0.05 is identified to be statistically insignificant and vice-versa. The correlation coefficient R2 of the model is 71.13%, which indicates that the variable fits the model. The variables constant, oil to methanol ratio, reaction temperature, reaction time, reaction temperature*reaction temperature and oil to methanol ratio*catalyst load were statistically significant on the biodiesel yield. The variables catalyst load, oil to methanol ratio*oil to methanol ratio, oil to methanol ratio*reaction time, oil to methanol ratio*reaction temperature, reaction time*catalyst load, and reaction temperature*catalyst load have p-value greater than α-value which shows that they are statistically insignificant on biodiesel yield (Table 3).
|Methanol to Oil ratio||5.64||2.82||1.12||2.51||0.016||1|
|Reaction time (hrs)||7.39||3.69||1.12||3.28||0.002||1|
|Methanol to Oil ratio*Methanol to Oil ratio||-1.15||-0.58||1.69||-0.34||0.735||1.25|
|Reaction temperature*Reaction temperature||-9.34||-4.67||1.69||-2.77||0.009||1.25|
|Reaction time (hrs)*Reaction time (hrs)||-5.51||-2.76||1.69||-1.63||0.11||1.25|
|Catalyst load*Catalyst load||-0.77||-0.39||1.69||-0.23||0.82||1.25|
|Methanol to Oil ratio*Reaction temperature||1.44||0.72||1.95||0.37||0.713||1|
|Methanol to Oil ratio*Reaction time (hrs)||-3.52||-1.76||1.95||-0.9||0.372||1|
|Methanol to Oil ratio*Catalyst load||-9.8||-4.9||1.95||-2.52||0.016||1|
|Reaction temperature*Reaction time (hrs)||-6.26||-3.13||1.95||-1.61||0.116||1|
|Reaction temperature*Catalyst load||0.39||0.19||1.95||0.1||0.921||1|
|Reaction time (hrs)*Catalyst load||-1.38||-0.69||1.95||-0.35||0.725||1|
|Coef=Regression Equation Coefficient, SE Coef=Standard Error Coefficients, T=t-Statistic and P-Value|
Table 3: Factorial regression analysis of biodiesel yield (%) versus transesterification variables showing the estimate coefficient of the model.
Regression Equation in Uncoded Units
Yield (%)=-85.8+2.82 Methanol to Oil ratio+4.78 Reaction temperature+4.34 Reaction time (hrs)-0.0393 Reaction temperature*Reaction temperature
The optimization plot as indicated in Figure 2, predicts the maximum yields (%) that can be determined as 98.95%, when target assigned at 97.91%. The condition of the transesterification variables to obtained the maximum yield as predicted by the statistical model (optimization plot) were (8:1) methanol to oil, 1 wt% catalyst load 60% temperature and 3 hrs reaction time with a prediction yield of 98.95% which is closely similar with experimental yield 97.91%, is clear that optimization of biodiesel production could be achieved through regression analysis using a known catalyst and other reaction variable.
The transesterification variables use for the Box-Bohnken design of the transesterification reaction of the optimization of biodiesel production from Jatropha seed oil are methanol ratio, reaction temperature, reaction time and catalyst load (Figure 3), their effect on the biodiesel yield are discuss as follows.
Effect of oil to methanol ratio on biodiesel yield
Figure 2 shows methanol to oil ratio increase from 6:1 to 8:1, the main biodiesel increases which may be due to the increase in the methanol, which was available to react with the oil to produce the biodiesel. The optimum yield was obtained at 8:1 methanol to oil ratio. Figure 3 which shows the interaction of oil to methanol ratio and reaction temperature on biodiesel yield, indicates that as the methanol to oil ratio increases from 6:1 to 8:1 with reaction temperature from 40 to 60°C, the yield of the biodiesel also increases toward optimum yield.
Effect of reaction temperature on biodiesel yield
Figure 2 shows the effect of reaction temperature on biodiesel yield. As the temperature increases from 40 to 60°C, the biodiesel yield significantly increases. Initially, some thermal energy was needed for transesterification as the reaction was endothermic . Since reaction mixture constitutes a three-phase system (methanol-oil-catalyst), the thermal energy was sufficiently needed to overcome the diffusion resistance between different phases. However, the high temperature is not preferred, as the temperature increase and reached the boiling point of methanol (64.70°C), the methanol immediately vaporize and form many bubbles, which inhibits the reaction on the two-phase interface and thus decreases the biodiesel yield .
Effect of reaction time on biodiesel
Figure 2 shows the effect of reaction time on biodiesel yield, as the reaction time increases from 1.3 to 3 hrs, the biodiesel yield rapidly increases until the reaction has reached equilibrium, beyond the optimum yield reaction time (2.15 hrs), the reaction reversibility of transesterification reaction .
Figure 4 shows interaction of catalyst load with the reaction time, as the reaction time increases from 1.0 to 1.5 hours with increase of catalyst load from 1 to 2.80 w/w%, the biodiesel yield remain unchanged until above 2.8 w/w% catalyst load when the mean biodiesel yield increases (to the range of 80 to 90%), this may be due to availability of the catalyst to facilitate methoxy formation and lead to faster reaction which lead to formation of more methyl esters .
As the catalyst load increases from 1.0 to 3.0 w/w% with increase in reaction time from 1.5 to 3 hours, the biodiesel yield significantly increases; this may be due to the increase in availability of acid side provided by S-ZrO2 for transesterification reaction to speedily occur and enough time for the completion of the reaction .
Effect of catalyst load on biodiesel
Figure 2 indicates the decrease of the biodiesel yield with increase in the catalyst load. The optimum catalyst load was found to be 1 g with Jatropha biodiesel yield of 97.91%. The excess catalyst concentration increases the viscosity of reactant which also lower biodiesel yield as reported by Yang . Figure 4 shows the effect of interaction of catalyst load with reaction time on biodiesel yield. It indicates that as the reaction time increases from 1.5 to 3 hrs at 1 w/w% catalyst load the biodiesel yield increases but as the catalyst load go beyond 1 w/w% the yield decreases and Figure 5 shows the Contour plot of interaction of catalyst load and reaction time on biodiesel yield.
Optimization of the transesterification reaction of Jatropha seed oil to biodiesel using Box-behnken design was a success and able to produce the optimum yield of 97.91% at optimum transesterification variables were 60°C, 2.15 hrs, 1:8 and 2 w/w%. The model adequately accounts for the empirical relationship between biodiesel and process variables. The response surface regression shows the variables constant, oil to methanol ratio, reaction temperature, reaction time, interaction of reaction temperature* reaction temperature and methanol to oil ratio*catalyst load were statistically significant on the biodiesel yield.
- Gerpen JV, Shanks B, Pruszko R, Clement D, Knothe G (2004) Biodiesel Production Technology Report from Lowa State University for the National Renewable Energy Laboratory. NREL/SR, 44: 362-510.
- Demirbas A (2002) An Overview of Biomass Pyrolysis. Energy Source, ISSN 1984-6835, 25: 471-482.
- Graboski MS, McCormick RL (1998) Combustion of Fat and Vegetable Oil Derived Fuels in Diesel Engine Progress in Energy and Combustion Science. 24: 125-164.
- Singh SP, Singh D (2010) Biodiesel Production Through the use of different Source and Characterization of Oils and their Esters as the Substitute of Diesel: A Review. Sustain, Energy Review 14: 200-216.
- Lopez DE, Godwin Jr JG, Bruce DA, Lotero E (2005) Transesterification of Triacetin with Methanol on Solid Acid and Base Catalysts. Applied catalysis A: General 295: 97-105.
- Meneghetti SMP, Meneghetti MR, Brito YC (2006) Transesterification, some Applications and Biodiesel Production 5: 63-73.
- Afaf GA, Salwa MO (2015) Physical and Chemical Properties of Jatropha Biodiesel. International Journal of Recent Scientific Research 6: 5172-5174.
- Akpan UG, Jimoh A, Mohammed AD (2006) Extraction, Characterization and Modification of Castor seed oil. Leonardo Journal of Sciences 8: 43-52.
- Hara S, Miyayama M (2004) Proton Conductivity of Super acidic Sulphated Zirconia, Solid State Ionics. Elsevier 168: 111-116.
- Meher LC, Vidya SS, Naik SN (2006) Optimization of Alkali Catalyzed Transesterification of Pongania Pinnata for Production of Biodiesel. Bio-resource Technology 97: 1392.
- Samart C, Sreetongkittikul P, Sookman C (2009) Heterogeneous Catalysis of Transesterification of Soybean Oil using KI/mesoporous Silica. Fuel Processing Technology 90: 922-925.
- Long T, Deng Y, Gan S, Chen J (2010) Application of Choline Chloride·xZnCl2 ionic Liquids for Preparation of Biodiesel. Chinese Journal of Chemical Engineering 18: 322-327.
- Yang FX, Su YQ, Li XH, Zhang Q, Sun RC (2009) Preparation of Biodiesel from Idesia Polycarpa var. Vestita Fruit Oil. Industrial Crops and Products 29: 622-628.
Citation: Dhikrah I, Dangoggo SM, Sani NA, Baki AS, Bagudo BU, et al. (2018) Optimization of Biodiesel Production from Jatropha Seed Oil, Using Sulphated Zirconia as Catalyst. Chem Sci J 9:184. Doi: 10.4172/2150-3494.1000184
Copyright: © 2018 Dhikrah I, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Select your language of interest to view the total content in your interested language
Share This Article
Annual Congress on Chemistry
September 12-13, 2018 Singapore City, Singapore
International Conference on Chemical Biology & Radiation Therapy
September 26-27, 2018 Chicago, USA
World Chemistry & Systems Biology Conference
October 03-04 , 2018 Los Angeles, USA
International conference on Electrochemistry
July 10-11,2017 Berlin, Germany
International Conference and Exhibition on Materials Chemistry
July 13-14, 2017 Golden Tulip Berlin - Hotel Hamburg, Berlin, Germany
European Organic Chemistry Congress
March 02-03, 2017 Amsterdam, Netherlands
European Chemistry Congress
May 11-13, 2017 Barcelona, Spain
International conference on Industrial Chemistry and Water Treatment
May 22-23, 2017 Las Vegas, USA
- Total views: 172
- [From(publication date): 0-2018 - Aug 15, 2018]
- Breakdown by view type
- HTML page views: 144
- PDF downloads: 28