scholarly journals Response Surface Methodology for Biodiesel Production Using Calcium Methoxide Catalyst Assisted with Tetrahydrofuran as Cosolvent

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Nichaonn Chumuang ◽  
Vittaya Punsuvon
Keyword(s):  
Response Surface Methodology ◽  
Reaction Time ◽  
Response Surface ◽  
Catalyst Concentration ◽  
Acid Methyl Ester ◽  
Waste Cooking Oil ◽  
Biodiesel Production ◽  
Quadratic Model ◽  
Molar Ratio ◽  
Standard Requirement

The present study was performed to optimize a heterogeneous calcium methoxide (Ca(OCH3)2) catalyzed transesterification process assisted with tetrahydrofuran (THF) as a cosolvent for biodiesel production from waste cooking oil. Response surface methodology (RSM) with a 5-level-4-factor central composite design was applied to investigate the effect of experimental factors on the percentage of fatty acid methyl ester (FAME) conversion. A quadratic model with an analysis of variance obtained from the RSM is suggested for the prediction of FAME conversion and reveals that 99.43% of the observed variation is explained by the model. The optimum conditions obtained from the RSM were 2.83 wt% of catalyst concentration, 11.6 : 1 methanol-to-oil molar ratio, 100.14 min of reaction time, and 8.65% v/v of THF in methanol concentration. Under these conditions, the properties of the produced biodiesel satisfied the standard requirement. THF as cosolvent successfully decreased the catalyst concentration, methanol-to-oil molar ratio, and reaction time when compared with biodiesel production without cosolvent. The results are encouraging for the application of Ca(OCH3)2 assisted with THF as a cosolvent for environmentally friendly and sustainable biodiesel production.

scholarly journals Optimisation of Second-Generation Biodiesel Production from Australian Native Stone Fruit Oil Using Response Surface Method

Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2566 ◽  
Author(s):  
Mohammad Anwar ◽  
Mohammad Rasul ◽  
Nanjappa Ashwath ◽  
Md Rahman
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Reaction Temperature ◽  
Second Generation ◽  
Catalyst Concentration ◽  
Biodiesel Production ◽  
Stone Fruit ◽  
Quadratic Model ◽  
Molar Ratio ◽  
Contour Plots

In this study, the production process of second-generation biodiesel from Australian native stone fruit have been optimised using response surface methodology via an alkali catalysed transesterification process. This process optimisation was performed varying three factors, each at three different levels. Methanol: oil molar ratio, catalyst concentration (wt %) and reaction temperature were the input factors in the optimisation process, while biodiesel yield was the key model output. Both 3D surface plots and 2D contour plots were developed using MINITAB 18 to predict optimum biodiesel yield. Gas chromatography (GC) and Fourier transform infrared (FTIR) analysis of the resulting biodiesel was also done for biodiesel characterisation. To predict biodiesel yield a quadratic model was created and it showed an R2 of 0.98 indicating the satisfactory performance of the model. Maximum biodiesel yield of 95.8% was obtained at a methanol: oil molar ratio of 6:1, KOH catalyst concentration of 0.5 wt % and a reaction temperature of 55 °C. At these reaction conditions, the predicted biodiesel yield was 95.9%. These results demonstrate reliable prediction of the transesterification process by Response surface methodology (RSM). The results also show that the properties of the synthesised Australian native stone fruit biodiesel satisfactorily meet the ASTM D6751 and EN14214 standards. In addition, the fuel properties of Australian native stone fruit biodiesel were found to be similar to those of conventional diesel fuel. Thus, it can be said that Australian native stone fruit seed oil could be used as a potential second-generation biodiesel source as well as an alternative fuel in diesel engines.

scholarly journals Biodiesel Production from Crude Cottonseed Oil: An Optimization Process Using Response Surface Methodology

2011 ◽  
Vol 4 (1) ◽  
pp. 1-8 ◽  
Author(s):  
Xiaohu Fan ◽  
Xi Wang ◽  
Feng Chen
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Catalyst Concentration ◽  
Acid Methyl Ester ◽  
Economic Cost ◽  
Cottonseed Oil ◽  
Biodiesel Production ◽  
Molar Ratio ◽  
Crude Cottonseed Oil ◽  
Hplc Analyses

Biodiesel, known as fatty acid methyl ester (FAME), was produced from crude cottonseed oil (triglycerides) by transesterification with methanol in the presence of sodium hydroxide. This process was optimized by applying factorial design and response surface methodology (RSM) with SAS and PSIPLOT programs. A second-order mathematical model was obtained to predict the yield as a function of methanol/oil molar ratio, catalyst concentration, reaction temperature, and rate of mixing. Based on ridge max analysis and RSM, as well as economic cost consideration, the practical optimal condition for the production of biodiesel was found to be: methanol/oil molar ratio, 7.9; temperature, 53 °C; time, 45 min; catalyst concentration, 1.0%; and rate of mixing, 268 rpm. The optimized condition was validated with the actual biodiesel yield of 97%. Furthermore, the biodiesel was confirmed by HPLC analyses that triglycerides of cottonseed oil were almost completely converted to FAME.

Optimization of melon oil methyl ester production using response surface methodology

2017 ◽  
Vol 2 (1) ◽  
pp. 1-10 ◽  
Author(s):  
O. S. Aliozo ◽  
L. N. Emembolu ◽  
O. D. Onukwuli
Keyword(s):  
Response Surface Methodology ◽  
Reaction Time ◽  
Methyl Ester ◽  
Response Surface ◽  
Research Work ◽  
Biodiesel Production ◽  
Molar Ratio ◽  
Reaction Conditions ◽  
Central Composite Designs ◽  
American Society

Abstract In this research work, melon oil was used as feedstock for methyl ester production. The research was aimed at optimizing the reaction conditions for methyl ester yield from the oil. Response surface methodology (RSM), based on a five level, four variable central composite designs (CCD)was used to optimize and statistically analyze the interaction effect of the process parameter during the biodiesel production processes. A total of 30 experiments were conducted to study the effect of methanol to oil molar ratio, catalyst weight, temperature and reaction time. The optimal yield of biodiesel from melon oil was found to be 94.9% under the following reaction conditions: catalyst weight - 0.8%, methanol to oil molar ratio - 6:1, temperature - 55°C and reaction time of 60mins. The quality of methyl ester produced at these conditions was within the American Society for Testing and Materials (ASTM D6751) specification.

Optimization of Esterification and Transesterification Reactions for Biodiesel Production from Crude Coconut Oil Using RSM Techniques

2016 ◽  
Vol 723 ◽  
pp. 610-615 ◽  
Author(s):  
Natta Pimngern ◽  
Vittaya Punsuvon
Keyword(s):  
Fatty Acid ◽  
Reaction Time ◽  
Acid Methyl Ester ◽  
Coconut Oil ◽  
Raw Material ◽  
Biodiesel Production ◽  
Quadratic Model ◽  
Molar Ratio ◽  
Optimum Conditions ◽  
Model Equations

Crude coconut oil with high free fatty acid (FFA) content was used as a raw material to produce biodiesel. In this work, the esterification followed by transesterification of crude coconut oil with methanol is studied. The response surface methodology (RSM) with 5-level-3-factor central composite design (CCD) was applied to study the effect of different factors on the FFA content of esterification and the percentage of fatty acid methyl ester (FAME) conversion of transesterification. The FAME conversion was detected by proton magnetic resonance (1H-NMR) spectrometer. As a result, the optimum conditions for esterification were 6:1 of methanol-to-oil molar ratio, 0.75wt% of sulfuric acid (H2SO4) concentration and 90 min of reaction time. The optimum conditions for transesterification were 8.23:1 of methanol-to-oil molar ratio, 0.75wt% of sodium hydroxide (NaOH) concentration and 80 min of reaction time. Quadratic model equations were obtained describing the relationships between dependents and independent variables to minimize the FFA content and maximize the FAME conversion. Fuel properties of the crude coconut oil biodiesel were also examined followed ASTM and EN standards. The results showed that all properties met well with both standards.

scholarly journals Optimisation of Free Fatty Acid Removal in Nyamplung Seed Oil (Callophyllum inophylum L.) using Response Surface Methodology Analysis

2021 ◽  
Vol 29 (4) ◽  
Author(s):  
Ratna Dewi Kusumaningtyas ◽  
Haniif Prasetiawan ◽  
Radenrara Dewi Artanti Putri ◽  
Bayu Triwibowo ◽  
Siti Choirunisa Furi Kurnita ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Fatty Acid ◽  
Reaction Time ◽  
Free Fatty Acid ◽  
Response Surface ◽  
Reaction Temperature ◽  
Seed Oil ◽  
Catalyst Concentration ◽  
Molar Ratio ◽  
Esterification Reaction

Nyamplung seed (Calophyllum inophyllum L.) oil is a prospective non-edible vegetable oil as biodiesel feedstock. However, it cannot be directly used in the alkaline catalysed transesterification reaction since it contains high free fatty acid (FFA) of 19.17%. The FFA content above 2% will cause saponification reaction, reducing the biodiesel yield. In this work, FFA removal was performed using sulfuric acid catalysed esterification to meet the maximum FFA amount of 2%. Experimental work and response surface methodology (RSM) analysis were conducted. The reaction was conducted at the fixed molar ratio of nyamplung seed oil and methanol of 1:30 and the reaction times of 120 minutes. The catalyst concentration and the reaction temperature were varied. The highest reaction conversion was 78.18%, and the FFA concentration was decreased to 4.01% at the temperature of 60℃ and reaction time of 120 minutes. The polynomial model analysis on RSM demonstrated that the quadratic model was the most suitable FFA conversion optimisation. The RSM analysis exhibited the optimum FFA conversion of 78.27% and the FFA content of 4%, attained at the reaction temperature, catalyst concentration, and reaction time of 59.09℃, 1.98% g/g nyamplung seed oil, and 119.95 minutes, respectively. Extrapolation using RSM predicted that the targeted FFA content of 2% could be obtained at the temperature, catalyst concentration, and reaction time of 58.97℃, 3%, and 194.9 minutes, respectively, with a fixed molar ratio of oil to methanol of 1:30. The results disclosed that RSM is an appropriate statistical method for optimising the process variable in the esterification reaction to obtain the targeted value of FFA.

scholarly journals Valorization of Solketal Synthesis from Sustainable Biodiesel Derived Glycerol Using Response Surface Methodology

Catalysts ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 1537
Author(s):  
Gayathri Arun ◽  
Muhammad Ayoub ◽  
Zulqarnain Zulqarnain ◽  
Umesh Deshannavar ◽  
Mohd Hizami Mohd Mohd Yusoff ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Reaction Time ◽  
Response Surface ◽  
Crude Glycerol ◽  
Value Added ◽  
Biodiesel Production ◽  
Molar Ratio ◽  
Fuel Additive ◽  
Simulation Data ◽  
Biodiesel Synthesis

Biodiesel production has gained considerable importance over the last few decades due to the increase in fossil fuel prices as well as toxic emissions of oxygen and nitrogen. The production of biodiesel via catalytic transesterification produces crude glycerol as a co-product along with biodiesel, amounting to 10% of the total biodiesel produced. Glycerol has a low value in its impure form, and the purification of glycerol requires sophisticated technologies and is an expensive process. The conversion of crude glycerol into value-added chemicals such as solketal is the best way to improve the sustainability of biodiesel synthesis using the transesterification reaction. Therefore, the conversion of crude glycerol into the solketal was investigated in a batch reactor simulation model developed by the Aspen Plus V11.0. The non-random two liquid theory (NRTL) method was used as a thermodynamic property package to study the effect of four input ketalization parameters. The model was validated with the findings of previous experimental studies of solketal synthesis using sulfuric acid as a catalyst. The influence of the following operating parameters was investigated: reaction time of 10,000 to 60,000 s, reaction temperature of 303 to 323 K, acetone to glycerol molar ratio of 2:1 to 10:1, and catalyst concentration of 0.005 to 0.03 wt %. The optimum solketal yield of 81.36% was obtained at the optimized conditions of 313 K, 9:1, 0.03 wt %, and 40,000 s. The effect of each input parameter on the ketalization process and interaction between input and output parameters was investigated by using the response surface methodology (RSM) optimizer. The relationship between independent and response variables developed by RSM fit most of the simulation data, which showed the accuracy of the model. A second-order differential equation fit the simulation data well and showed an R2 value of 0.99. According to the findings of RSM, the influence of catalyst amount, acetone to glycerol molar ratio, and reaction time were more significant on solketal yield. The effect of temperature on the performance of the reaction was not found to be significant because of the exothermic nature of the process. The findings of this study showed that biodiesel-derived glycerol can be effectively utilized to produce solketal, which can be used for a wider range of applications such as a fuel additive. However, further work is required to enhance the solketal yield by developing new heterogeneous catalysts so that the industrial implementation of its production can be made possible.

scholarly journals Optimization of Reducing Ffa Content of Waste Cooking Oil by Using Response Surface Methodology

2020 ◽  
Author(s):  
Sri Rizki Putri Primandari ◽  
Andril Arafat ◽  
Arwizet Karudin
Keyword(s):  
Response Surface Methodology ◽  
Optimum Condition ◽  
Response Surface ◽  
Irradiation Time ◽  
Waste Cooking Oil ◽  
Biodiesel Production ◽  
Molar Ratio ◽  
Important Process ◽  
Acid Esterification ◽  
Central Composite

Abstract Waste cooking oil has high free fatty acid (FFA). It impact to low yield of biodiesel production. Thus, reducing FFA is one of important process as feedstock of biodiesel. This study aims to investigate the optimum condition of three important process variables which are acid concentration, molar ratio of methanol and oil, and irradiation time with the 45oC of irradiation temperature for reducing FFA. The synthesis is assisted by ultrasonic irradiation. It conducted by acid esterification with H2SO4 and methanol. Optimization is conducted by Response Surface Methodology (RSM) with central composite design (CCD). The optimum condition of response for reducing FFA less than 1% were found to be 7.22:1 of methanol to oil molar ratio, 0.92% wt of H2SO4, and 26.04 minutes of irradiation time. It has been observed that ultrasonic system reduces FFA content significantly compared to conventional method.

scholarly journals Trans-Esterification Optimization Process for Biodiesel Production from Palm Kernel Oil using Response Surface Methodology

2021 ◽  
Vol 6 (2) ◽  
pp. 7-15
Author(s):  
T.O. Rabiu ◽  
N.A. Folami ◽  
N.A. Badiru ◽  
N.A. Kinghsley ◽  
B.T. Dare ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Reaction Time ◽  
Sodium Hydroxide ◽  
Response Surface ◽  
Catalyst Concentration ◽  
Palm Kernel ◽  
Biodiesel Production ◽  
Optimization Process ◽  
Palm Kernel Oil ◽  
Kernel Oil

The ever-growing concern for the safety of lives and the environment as well as the depletion in fossil fuels reserves across the globe has led to the keen interests of many researchers in the field of renewable energy. This study was therefore undertaken to investigate the trans-esterification optimization process for biodiesel production from palm kernel using response surface methodology. The materials for the trans-esterification processes were palm kernel oil, Methanol and sodium hydroxide. The effects of reaction temperature (oC), catalyst concentration (wt%) and reaction time (min) on the yield were evaluated. The properties of the biodiesel produced showed that it met the ASTM standard for biodiesel. A quadratic polynomial model, Yield (%) = 78.60–3.12A–.62B + 0.00C -0.75AB – 3.50AC + 1.50BC + 2.82A2– 0.18B2 + 1.08C2, was developed that can be used to predict yield of biodiesel at any value of the different parameters investigated. The ANOVA for the model of the biodiesel yield obtained indicates that the models fit well in describing the relationship between the predictor (biodiesel yield) and the factors (methanol to oil ratio, catalyst concentration and reaction time). The optimal trans-esterification conditions were found to be 60°C for temperature, 60minutes for reaction time, 0.878w% of oil as Sodium hydroxide (catalyst) concentration and methanol/oil ratio of 1:6. At these optimal conditions, the biodiesel yield was fond to be 89.32% The generated biodiesel had high cetane number, better engine ignitability and poses lesser pollution problems than petroleum diesel.

scholarly journals OPTIMIZATION OF TRANSESTERIFICATION OF TRA FAT WITH KOH/y Al2O3 CATALYST USING RESPONSE SURFACE METHODOLOGY

2009 ◽  
Vol 12 (13) ◽  
pp. 69-76
Author(s):  
Huong Thi Thanh Le ◽  
Tan Viet Le ◽  
Tan Minh Phan ◽  
Hoa Thi Viet Tran
Keyword(s):  
Response Surface Methodology ◽  
Reaction Time ◽  
Response Surface ◽  
Reaction Temperature ◽  
Catalyst Concentration ◽  
Molar Ratio ◽  
Result Show ◽  
Heterogenous Catalyst ◽  
Central Composite ◽  
Al2o3 Catalyst

In this study, biodiesel was produced from fat of tra catfish by methanolysis reaction with KOH/y-A12O3 heterogenous catalyst. This research was carried out using response surface methodology (RSM) based on four-variable central composite design (CCD) with a = 1,54671. The transesterification process variables and their investigated ranges were methanol/fat molar ratio (X1: 7/1 - 9/1), catalyst concentration (X2: 5%-7%), reaction time (X3: 60 min - 120 min), and reaction temperature (X4: 55 °C - 65 °C). The result show the biodiesel yield could be reach up to 92,8 % using the following optimized reaction condition: molar ratio of methanol/fat at 8,26/1, catalyst concentration of 5,79 %, reaction time of 96 min, and reaction temperature at 59,6 °C.

scholarly journals PROCESS OPTIMIZATION OF BIODIESEL PRODUCTION FROM CRUDE COCONUT SEEDS OIL USING CAO/AL2O3 AS HETEROGENEOUS CATALYST

2020 ◽  
Vol 2 (1) ◽  
pp. 92-97
Author(s):  
Jamilu Usman ◽  
Bashar Abdullahi Hadi ◽  
Buhari Idris ◽  
Umar Musa Tanko ◽  
Bashar Usman ◽  
...  
Keyword(s):  
Reaction Time ◽  
Methyl Ester ◽  
Catalyst Concentration ◽  
Acid Methyl Ester ◽  
Biodiesel Production ◽  
Molar Ratio ◽  
Incipient Wetness Impregnation ◽  
Impregnation Method ◽  
Promising Alternative ◽  
Animal Fats

Biodiesel is an alternative diesel fuel consisting of the alkyl monoesters of fatty acids from vegetable oils or animal fats. Biodiesel is a promising alternative fuel derived from animal fats or vegetable oil through transesterification with methanol. Base catalyzed transesterification is the most commonly used technique as it is the most economical process. Presently, a lot of heterogeneous catalysts have been formulated that are more effective than the homogeneous catalysts. CaO/Al2O3 was synthesized using incipient wetness impregnation method. The biodiesel was developed and optimized using Box-behnken response surface methodology (RSM) design provided using MINITAP-17 statistical software. The four independent variables considered are: reaction time, methanol to oil ratio, reaction temperature and catalyst concentration. The response chosen was fatty acid methyl ester (FAME) yields which were obtained from the reaction. The result from analysis of variance (ANOVA) showed a satisfactory result. Moreover, the input variables showed greater significance on the response which are reaction time and temperature base on F and P-value. The statistical models developed for predicting biodiesel yield revealed a significant agreement between the experimental and predicted values (R = 0.9686). An optimum methyl ester yield of 93.29 % was achieved with optimal conditions of methanol/oil molar ratio of 6:1, temperature of 600C, reaction time of 120 min and catalyst concentration of 1.0 wt%. The properties of the biodiesel produced also falls within the range prescribed by ASTM standard

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