scholarly journals Optimization of Conversion of High Free Fatty Acid Jatropha curcas Oil to Biodiesel Using Response Surface Methodology

2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
Prerna Goyal ◽  
M. P. Sharma ◽  
Siddharth Jain
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Jatropha Curcas ◽  
Methyl Esters ◽  
Polynomial Equation ◽  
Molar Ratio ◽  
Optimum Level ◽  
Acid Catalyzed ◽  
Central Composite ◽  
Good Agreement

A five-level-four-factor central composite design (CCD) with 54 assays was employed to study the effect of catalyst concentration (NaOH), reaction temperature, reaction time, and methanol/oil molar ratio on the methyl esters yield from Jatropha curcas oil (JCO) during its transesterification. Using response surface methodology (RSM), a quadratic polynomial equation was obtained for Jatropha curcas biodiesel (JCB) yield by regression analysis. Verification experiments confirmed the validity of the predicted model. The high free fatty acids (FFAs) (14.6%) of JCO could be reduced to 0.34% by acid-catalyzed esterification and a JCB yield of 98.3% was obtained with methanol/oil ratio (11 : 1) using NaOH as catalyst (1% w/w) in 110 min time at 55°C temperature. The predicted value of JCB yield is found to be in good agreement with the experimental value at the optimum level of input parameters. The properties of the biodiesel, thus, produced conform to the ASTM and IS specifications, making it an ideal alternative fuel for diesel engines. The model can be effectively used in oil industry to maximize the biodiesel yield from given oil.

Enhanced Alkali Pretreatment of Narrow Leaves Cattail by Response Surface Methodology

2014 ◽  
Vol 875-877 ◽  
pp. 1637-1641
Author(s):  
Arrisa Sopajarn ◽  
Chayanoot Sangwichien
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Residence Time ◽  
Preliminary Test ◽  
Polynomial Equation ◽  
Alkali Concentration ◽  
Pretreatment Condition ◽  
Order Polynomial ◽  
Optimized Conditions ◽  
Central Composite

The purpose of this work is to develop a pretreatment process of lingo-cellulosic ethanol production from narrow leaves cattail (Typha angustifolia) by using alkali catalysis with the response surface methodology (RSM) as a central composite design (CCD). The first step, LiOH, NaOH, and KOH were used as catalytic alkali for preliminary test. Second, the suitable alkali from first step was selected to optimize of pretreatment condition of three independent variables (alkali concentration, temperature, and residence time) that varies at CCD five codes (-2, -1, 0, 1, 2). Sodium hydroxide (NaOH) is the proper alkali because it could increase cellulose more than KOH and nearby LiOH while it is cheapest. RSM result shows the optimized pretreatment condition based on cellulose increased which obtained from this study that is NaOH 5 % w/v at 100 °C and residence time for 120 min. Beside, this condition was analyzed using an ANOVA with a second order polynomial equation after eliminated non-significant terms. At the optimized conditions, cellulose increased, hemicellulose decreased and weight recovery were achieved 77.81%, 80.59, and 41.65%, respectively. Moreover, the model was reasonable to predict the response of strength with less than 5% error.

Optimization of Biodiesel Ultrasound-Assisted Synthesis from Castor Oil Using Response Surface Methodology (RSM)

2015 ◽  
Vol 10 (2) ◽  
pp. 123-133 ◽  
Author(s):  
Mohammadreza Sabzimaleki ◽  
Barat Ghobadian ◽  
Mohsen Mazloom Farsibaf ◽  
Gholamhassan Najafi ◽  
Masoud Dehghani Soufi ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Reaction Time ◽  
Response Surface ◽  
Castor Oil ◽  
Molar Ratio ◽  
Reaction Yield ◽  
Ultrasound Assisted ◽  
Short Time ◽  
The Relationship ◽  
Central Composite

Abstract Production of biodiesel from castor oil (CO) using ultrasound-assisted has been investigated in this study. The objective of the present work was therefore to determine the relationship between various important parameters of the alkaline-catalyzed transesterification process to obtain a high reaction yield in a short time. The response surface methodology (RSM) was used to statistically analyze and optimize the operating parameters of the process. A central composite design (CCD) was approved to study the effects of the reaction time, the methanol to oil molar ratio, the ultrasonic cycle and the ultrasonic amplitude on reaction yield. The optimum conditions for alkaline-catalyzed transesterification of CO was found to be a reaction time of 540 s, methanol to oil molar ratio of 8.15:1,ultrasonic cycle of 0.73% and ultrasonic amplitude 64.34%. By exerting the calculated optimum condition in the process, the reaction yield reached 87.0494%. The results from the RSM analysis indicated that the reaction time has the most significant effect on the reaction yield.

scholarly journals Response surface methodology for optimizing the glycerolysis reaction of olive oil by Candida rugosa lipase

2014 ◽  
Vol 20 (1) ◽  
pp. 127-134 ◽  
Author(s):  
Kumar Singh ◽  
Mausumi Mukhopadhyay
Keyword(s):  
Response Surface Methodology ◽  
Reaction Time ◽  
Olive Oil ◽  
Water Content ◽  
Response Surface ◽  
Candida Rugosa ◽  
Candida Rugosa Lipase ◽  
Molar Ratio ◽  
Immobilized Candida Rugosa Lipase ◽  
Central Composite

In the present work, solvent free olive oil glycerolysis for the monoglycerides (MG) and diglycerides (DG) production with an immobilized Candida rugosa lipase was studied. MG and DG production were optimized using experiment design techniques and response surface methodology (RSM). RSM based on five-level, a five-variable central composite design (CCD) was used to optimize MG and DG production: reaction time, temperature, molar ratio of glycerol to oil, amount of lipase, and water content in glycerol. The reaction time, temperature, and amount of lipase were observed to be the most significant factors on the process response. The immobilized Candida rugosa lipase revealed optimum yield of MG and DG as 38.71 and 40.45 wt% respectively following a 5h reaction time with 0.025 g of lipase and 5% water content in glycerol at 40?C temperature. The yield of MG and DG production can be enhanced 1.5 fold by RSM.

scholarly journals Optimization of chlorite and talc flotation using experimental design methodology: Case study of the MCG plant, Morocco

2020 ◽  
Vol 120 (12) ◽  
Author(s):  
K. Boujounoui ◽  
A. Abidi ◽  
A. Baçaoui ◽  
K. El Amari ◽  
A. Yaacoubi
Keyword(s):  
Response Surface Methodology ◽  
Central Composite Design ◽  
Response Surface ◽  
Desirability Functions ◽  
Sulphide Ore ◽  
Experimental Values ◽  
Experimental Design Methodology ◽  
Central Composite ◽  
Good Agreement

SYNOPSIS Response surface methodology (RSM), central composite design (CCD), and desirability functions were used for modelling and optimization of the operating factors in chlorite and talc (collectively termed 'mica') flotation. The influence of pulp pH, cyanide (NaCN) consumption, and particle size was studied with the aim of optimizing ssilicate flotation while minimizing recoveries of galena, chalcopyrite, and sphalerite. Flotation tests were carried out on a representative sample of a complex sulphide ore from Draa Sfar mine (Morocco). The model predictions for the flotation of each of the minerals concerned were found to be in good agreement with experimental values, with R2 values of 0.91, 0.98, 0.99, and 0.90 for mica, galena, chalcopyrite, and sphalerite recoveries, respectively. RSM combined with desirability functions and CCD was successfully applied for the modelling of mica flotation, considering simultaneously the four flotation responses to achieve the maximum recovery of mica and minimal loss of Pb, Cu, and Zn to the flotation concentrate. Keywords: chlorite, talc, flotation, response surface methodology, central composite design, optimization.

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 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.

Jatropha curcas L.: A Non-food Oil Source for Optimized Biodiesel Production

2019 ◽  
Vol 41 (3) ◽  
pp. 458-458
Author(s):  
Tahir Mehmood Tahir Mehmood ◽  
Adeela Naseem Adeela Naseem ◽  
Farooq Anwar Farooq Anwar ◽  
Mudassir Iqbal and Muhammad Ashraf Shaheen Mudassir Iqbal and Muhammad Ashraf Shaheen
Keyword(s):  
Reaction Time ◽  
Jatropha Curcas ◽  
Positive Impact ◽  
Methyl Esters ◽  
Polynomial Equation ◽  
Biodiesel Production ◽  
Molar Ratio ◽  
Quadratic Term ◽  
Factors Affecting ◽  
Jatropha Curcas Oil

Response Surface Methodology (RSM) was applied based on central composite rotatable design (CCRD) to optimize transesterification reaction parameters for obtaining optimal biodiesel yield from Jatropha curcas oil. Transesterification variables such as: catalyst concentration (CC) (0.16-2%), reaction temperature (RT) (40-65and#176;C), molar ratio of oil and methanol (0.95-11.5), and reaction time (30-140 min) were optimized via RSM involving 24 full factorial CCRD design. The molar ratio of methanol to oil and RT were the most significant (pandlt; 0.5) factors affecting the yield of Jatropha curcas oil methyl esters (JOMEs). A linear relationship was recorded between the observed and predicted values (R2 = 0.766). Using multiple regression analysis, a quadratic polynomial equation was constructed to predict JOMEs yield. The quadratic term of molar ratio showed a significant impact on the JOMEs yield. The interaction terms of molar ratio and CC with reaction time exhibited positive impact on ester yield (pandlt; 0.05). The optimum reaction conditions including CH3OH to oil ratio of 6:1, 1.0 % CC, 60 and#176;C RT and 60 min reaction time offered the highest yield of JOMEs (99.90%). JOMEs were analytically characterized using GLC and FTIR. The fuel properties of produced JOMEs were in accordance to ASTM D6751 and EN 14214 standards.

Application of Response Surface Methodology for Optimization of Biodiesel Production from Microalgae Through Nanocatalytic Transesterification Process.

2021 ◽  
Author(s):  
Vaishali Mittal ◽  
Uttam Kumar Ghosh
Keyword(s):  
Response Surface Methodology ◽  
Reaction Time ◽  
Response Surface ◽  
Process Parameters ◽  
Reaction Temperature ◽  
Methyl Esters ◽  
Biodiesel Production ◽  
Molar Ratio ◽  
Impregnation Method ◽  
The Impact

Abstract Production of biodiesel from microalgae is gaining popularity since it does not compromise food security or the global economy. This article reports biodiesel production with Spirulina microalgae through nanocatalytic transesterification process. The nanocatalyst calcium methoxide Ca(OCH3)2 was synthesized using wet impregnation method and utilized to carry out the transesterification process. The nanocatalyst was characterized to evaluate its structural and spectral characteristics using different characterization techniques such as Thermogravimetric analysis (TGA), X-ray diffraction (XRD), Scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FT-IR), and Brunaeur-Emmett-Teller(BET) measurement for surface area. The result demonstrates that calcium methoxide Ca(OCH3)2 possesses a high catalytic activity compared to a heterogeneous catalyst such as calcium oxide (CaO). The impact of several process parameters such as reaction temperature, the molar ratio of methanol to oil, catalyst concentration, and reaction time used in the transesterification process was optimized by employing central composite design(CCD) based response surface methodology(RSM). The polynomial regression equation of second order was obtained for methyl esters. The model projected a 99% fatty acid methyl esters (FAME) yield for optimal process parameters of reaction time 3hrs,3 wt.% of Ca(OCH3)2 catalyst loading, 80°C reaction temperature, and 30:1 methanol to oil molar ratio.

Combined Steam-Carbon Dioxide Reforming of Methane: Modeling Using Response Surface Methodology (RSM)

2020 ◽  
Vol 20 (9) ◽  
pp. 5720-5724
Author(s):  
Cho Hwe Kim ◽  
Young Chul Kim
Keyword(s):  
Carbon Dioxide ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Coefficient Of Determination ◽  
Feed Ratio ◽  
Carbon Dioxide Conversion ◽  
Carbon Dioxide Reforming ◽  
Rsm Model ◽  
Central Composite ◽  
Good Agreement

In this paper, combined steam-carbon dioxide reforming of methane (CSDRM) on a nickel-based catalyst is investigated by using response surface methodology (RSM). Models were developed based on central composite design (CCD), conducted on methane, carbon dioxide conversion, and H2/CO ratio with feed ratio, flow rate, and temperature. In Analysis of variance analysis (ANOVA), good agreement was shown between predicted data from RSM model and experimental data as well. This indicated, high adjusted R2 (R square, coefficient of determination), F-value over 0.75, and p-value less than 0.05. CH4 and CO2 conversion were considerably improved at higher reaction temperature, because of the endothermic nature of the CSDRM. Also, H2/CO ratio was affected by feed ratio. The minutiae of development of the model, testing, etc. is presented in this study.

scholarly journals Optimization Study in Biodiesel Production via Response Surface Methodology Using Dolomite as a Heterogeneous Catalyst

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Regina C. R. Santos ◽  
Rômulo B. Vieira ◽  
Antoninho Valentini
Keyword(s):  
Response Surface Methodology ◽  
Soybean Oil ◽  
Response Surface ◽  
Heterogeneous Catalyst ◽  
Methyl Esters ◽  
Operating Conditions ◽  
Biodiesel Production ◽  
Molar Ratio ◽  
High Catalytic Activity ◽  
Calcium Leaching

A carbonate mineral, dolomite, was used as a heterogeneous catalyst to produce methyl-esters from soybean oil. The samples were analyzed by XRF, TGA, XRD, TPD-CO2, and SEM. The calcination of dolomite at 800°C/1 h resulted in a highly active mixed metal oxides. In addition, the influence of the reaction variables such as the temperature, catalyst amount, and methanol/soybean oil molar ratio in methyl-ester production was optimized by the application of a central composite design in conjunction with the response surface methodology (RSM). The XRF analysis is carried out after the reuses procedure which shows that the deactivation process is mainly due to the selective calcium leaching. Overall, the calcined dolomite exhibited high catalytic activity at moderate operating conditions for biodiesel production.

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