The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Hifjur Raheman - One of the best experts on this subject based on the ideXlab platform.
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biodiesel production from jatropha Oil jatropha curcas with high free fatty acids an optimized process
Biomass & Bioenergy, 2007Co-Authors: Alok Kumar Tiwari, Akhilesh Kumar, Hifjur RahemanAbstract:Response surface methodology (RSM) based on central composite rotatable design (CCRD) was used to optimize the three important reaction variables-methanol quantity (M), acid concentRation (C) and reaction time (T) for reduction of free fatty acid (FFA) content of the Oil to around 1 % as compared to methanol quantity (AT) and reaction time (T) and for carrying out transesterification of the pretreated Oil. Using RSM, quadratic polynomial equations were obtained for predicting acid value and transesterification. Verification experiments confirmed the validity of both the predicted models. The optimum combination for reducing the FFA of Jatropha curcas Oil from 14% to less than 1% was found to be 1.43% v/v H2SO4 acid catalyst, 0.28 v/v methanol-to-Oil Ratio and 88-min reaction time at a reaction temperature of 60 degrees C as compared to 0.16 v/v methanol-to-pretreated Oil Ratio and 24 min of reaction time at a reaction temperature of 60 degrees C for producing biodiesel. This process gave an average yield of biodiesel more than 99%. The fuel properties of jatropha biodiesel so obtained were found to be comparable to those of diesel and confirming to the American and European standards. (c) 2007 Elsevier Ltd. All rights reserved.
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biodiesel production from jatropha Oil jatropha curcas with high free fatty acids an optimized process
Biomass & Bioenergy, 2007Co-Authors: Alok Kumar Tiwari, Akhilesh Kumar, Hifjur RahemanAbstract:Abstract Response surface methodology (RSM) based on central composite rotatable design (CCRD) was used to optimize the three important reaction variables—methanol quantity (M), acid concentRation (C) and reaction time (T) for reduction of free fatty acid (FFA) content of the Oil to around 1% as compared to methanol quantity (M′) and reaction time (T′) and for carrying out transesterification of the pretreated Oil. Using RSM, quadratic polynomial equations were obtained for predicting acid value and transesterification. Verification experiments confirmed the validity of both the predicted models. The optimum combination for reducing the FFA of Jatropha curcas Oil from 14% to less than 1% was found to be 1.43% v/v H2SO4 acid catalyst, 0.28 v/v methanol-to-Oil Ratio and 88-min reaction time at a reaction temperature of 60 °C as compared to 0.16 v/v methanol-to-pretreated Oil Ratio and 24 min of reaction time at a reaction temperature of 60 °C for producing biodiesel. This process gave an average yield of biodiesel more than 99%. The fuel properties of jatropha biodiesel so obtained were found to be comparable to those of diesel and confirming to the American and European standards.
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process optimization for biodiesel production from mahua madhuca indica Oil using response surface methodology
Bioresource Technology, 2006Co-Authors: S V Ghadge, Hifjur RahemanAbstract:A central composite rotatable design was used to study the effect of methanol quantity, acid concentRation and reaction time on the reduction of free fatty acids content of mahua Oil during its pretreatment for making biodiesel. All the three variables significantly affected the acid value of the product, methanol being the most effective followed by reaction time and acid catalyst concentRation. Using response surface methodology, a quadratic polynomial equation was obtained for acid value by multiple regression analysis. Verification experiments confirmed the validity of the predicted model. The optimum combinations for reducing the acid level of mahua Oil to less than 1% after pretreatment was 0.32 v/v methanol-to-Oil Ratio, 1.24% v/v H2SO4 catalyst and 1.26 h reaction time at 60 degrees C. After the pretreatment of mahua Oil, transesterification reaction was carried out with 0.25 v/v methanol-to-Oil Ratio (6:1 molar Ratio) and 0.7% w/v KOH as an alkaline catalyst to produce biodiesel. The fuel properties of mahua biodiesel so obtained complied the requirements of both the American and European standards for biodiesel.
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process optimization for biodiesel production from mahua madhuca indica Oil using response surface methodology
Bioresource Technology, 2006Co-Authors: S V Ghadge, Hifjur RahemanAbstract:Abstract A central composite rotatable design was used to study the effect of methanol quantity, acid concentRation and reaction time on the reduction of free fatty acids content of mahua Oil during its pretreatment for making biodiesel. All the three variables significantly affected the acid value of the product, methanol being the most effective followed by reaction time and acid catalyst concentRation. Using response surface methodology, a quadratic polynomial equation was obtained for acid value by multiple regression analysis. Verification experiments confirmed the validity of the predicted model. The optimum combinations for reducing the acid level of mahua Oil to less than 1% after pretreatment was 0.32 v/v methanol-to-Oil Ratio, 1.24% v/v H 2 SO 4 catalyst and 1.26 h reaction time at 60 °C. After the pretreatment of mahua Oil, transesterification reaction was carried out with 0.25 v/v methanol-to-Oil Ratio (6:1 molar Ratio) and 0.7% w/v KOH as an alkaline catalyst to produce biodiesel. The fuel properties of mahua biodiesel so obtained complied the requirements of both the American and European standards for biodiesel.
Emilia M Guadix - One of the best experts on this subject based on the ideXlab platform.
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Biodiesel production from mixtures of waste fish Oil, palm Oil and waste frying Oil: Optimization of fuel properties
Fuel Processing Technology, 2015Co-Authors: Vanessa F. De Almeida, Pedro J. García-moreno, Antonio Guadix, Emilia M GuadixAbstract:The present work studies the influence of waste fish Oil, palm Oil and waste frying Oil as raw material on biodiesel properties. The experimental planning was executed through acid esterification (6:1 methanol to Oil Ratio, 1 wt.% sulfuric acid, at 60 °C, 1 h) followed by transesterification (9:1 methanol to Oil Ratio, 0.5 wt.% sodium hydroxide, at 60 °C for 1 h). Biodiesel samples showed yield higher than 82%, reaching 90% for palm Oil (33.3 wt.%) and waste frying Oil (66.7 wt.%) biodiesel. FAME content was higher than 92.3% and had a maximum of 98.5% for waste fish Oil (33.3 wt.%) and palm Oil (66.7 wt.%) biodiesel. Special cubic models were used to fit experimental data, and were optimized by response surface methodology and multi-objective optimization. Viscosity (4.3 mm2/s) and COM (2.5 °C) were minimized when pure fish Oil was used as raw material, whereas IP maximum (22.0 h) was found for palm Oil biodiesel. Multi-objective optimization evidenced that although the use of the pure Oils as feedstock presented more advantages to biodiesel properties, the waste fish Oil (42.1 wt.%) and waste frying Oil (57.9 wt.%) mix is beneficial, if the aim is IP (20%) and COM (80%) improvement.
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optimization of biodiesel production from waste fish Oil
Renewable Energy, 2014Co-Authors: Pedro J Garciamoreno, Antonio Guadix, Mohriam Khanum, Emilia M GuadixAbstract:The present study deals with the production of biodiesel using waste fish Oil. The research assesses the effect of the transesterification parameters on the biodiesel yield and its properties, including temperature (40–60 °C), molar Ratio methanol to Oil (3:1–9:1) and reaction time (30–90 min). The experimental results were fitted to complete quadratic models and optimized by response surface methodology. All the biodiesel samples presented a FAME content higher than 93 wt.% with a maximum, 95.39 wt.%, at 60 °C, 9:1 of methanol to Oil Ratio and 90 min. On the other hand, a maximum biodiesel yield was found at the same methanol to Oil Ratio and reaction time conditions but at lower temperature, 40 °C, which reduced the saponification of triglycerides by the alkaline catalyst employed. Adequate values of kinematic viscosity (measured at 30 °C) were obtained, with a minimum of 6.30 mm2/s obtained at 60 °C, 5.15:1 of methanol to Oil Ratio and 55.52 min. However, the oxidative stability of the biodiesels produced must be further improved by adding antioxidants because low values of IP, below 2.22 h, were obtained. Finally, satisfactory values of completion of melt onset temperature, ranging from 3.31 °C to 3.83 °C, were measured.
Eriola Betiku - One of the best experts on this subject based on the ideXlab platform.
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application of agricultural waste based catalysts to transesterification of esterified palm kernel Oil into biodiesel a case of banana fruit peel versus cocoa pod husk
Waste and Biomass Valorization, 2019Co-Authors: Victoria O Odude, Ayo J Adesina, Oluwaseyi O Oyetunde, Omowumi O Adeyemi, Niyi B Ishola, Anietie Okon Etim, Eriola BetikuAbstract:This study aimed at modeling and optimizing the production of fatty acid methyl esters from esterified palm kernel Oil using two heterogeneous biowaste catalysts namely calcined banana peel ash (CBPA) and calcined cocoa pod husk ash (CCPHA). The central composite design of response surface methodology (RSM) was employed for investigating the individual and interactive effects of the process input variables (methanol/Oil Ratio, catalyst weight and reaction time) on the palm kernel Oil methyl esters (PKOME) yield. The same optimal conditions (methanol/Oil Ratio 0.8 v/v, catalyst weight 4 wt% and reaction time 65 min) were predicted by RSM for the transesterification reaction catalyzed by CBPA and CCPHA at constant temperature of 65 °C. The observed PKOME yields under the optimal condition using the two catalysts were 99.5 and 99.3 wt% for CBPA and CCPHA, respectively. The developed quadratic models were appraised using different statistical indicators such as coefficient of determination (R2) and average absolute deviation (AAD). R2 of 0.9064 and 0.8245 and AAD of 0.5526 and 0.6901 computed for CBPA and CCPHA-catalyzed transesterification reactions, respectively, showed both models gave good predictions. In both cases, methanol/Oil Ratio was the most significant factor on the PKOME yield. The PKOME produced using the two catalysts satisfied both the ASTM D6751 and EN 14214 standard specifications. Both banana fruit peel and cocoa pod husk could adequately serve as low-cost feedstock for PKOME synthesis.
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two step conversion of neem azadirachta indica seed Oil into fatty methyl esters using a heterogeneous biomass based catalyst an example of cocoa pod husk
Energy & Fuels, 2017Co-Authors: Eriola Betiku, Anietie Okon Etim, Omoniyi Pereao, Tunde Victor OjumuAbstract:In this study, the viability of using calcined cocoa pod husk ash (CCPHA) as a catalyst for the transesterification of neem seed Oil (NSO) into biodiesel was investigated. Prior to transesterification to biodiesel, the Oil was pretreated with Fe2(SO4)3 via esterification to reduce its high acid value content. The Box-Behnken design (BBD) and central composite design (CCD) of response surface methodology (RSM) were used to investigate the individual and interactive effects of the methanol/Oil Ratio, catalyst amount, and reaction time on the acid value and biodiesel yield, respectively. Results of scanning electron microscopy (SEM), X-ray diffraction (XRD), Fourier transform infrared (FTIR), and elemental analysis showed that the catalytic action of the CCPHA produced was due to its K content and microstructural development when calcined at 700 °C for 4 h. The acid value of the NSO could be reduced from 11.57 to 1.80 mg of KOH/g of Oil using optimum values of the methanol/Oil Ratio of 2.19 (v/v), catalyst a...
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mathematical modeling and process parameters optimization studies by artificial neural network and response surface methodology a case of non edible neem azadirachta indica seed Oil biodiesel synthesis
Energy, 2014Co-Authors: Eriola Betiku, Sheriff Olalekan Ajala, Oluwasesan Ropo Omilakin, Adebisi A Okeleye, Abiola Ezekiel Taiwo, B O SolomonAbstract:This study aimed at using a non-edible NO (neem Oil) for biodiesel production by modeling and optimizing the two-step process involved. A significant quadratic regression model (p < 0.05) with R2 = 0.813 was obtained for the reduction of the acid value of the NO with high FFA to 1.22 mgKOH/g under the condition of methanol–Oil Ratio of 0.55, H2SO4 of 0.45%, time of 36 min and temperature of 60 °C using RSM (response surface methodology). For biodiesel synthesis, ANN (artificial neural networks) coupled with rotation inherit optimization established a better model than RSM. The condition established by ANN was temperature of 48.15 °C, KOH of 1.01%, methanol–Oil Ratio of 0.200, time of 42.9 min with actual NOB (neem Oil biodiesel) yield of 98.7% while RSM quadratic model gave the condition as temperature of 59.91 °C, KOH of 1.01%, methanol–Oil Ratio of 0.164, time of 45.60 min with actual NOB yield of 99.1%. R2 and absolute average deviations of the models from ANN and RSM were 0.991, 0.983, and 0.288, 0.334%, respectively. The results demonstrated that the models developed adequately represented the processes they described. Properties of NOB produced were within the ASTM D6751 and DIN EN 14214 biodiesel specifications.
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modeling and optimization of thevetia peruviana yellow oleander Oil biodiesel synthesis via musa paradisiacal plantain peels as heterogeneous base catalyst a case of artificial neural network vs response surface methodology
Industrial Crops and Products, 2014Co-Authors: Eriola Betiku, Sheriff Olalekan AjalaAbstract:Abstract In this work, response surface methodology (RSM) was used to optimize the pretreatment step (esterification) while the transesterification step was optimized using both RSM and artificial neural network (ANN). The acid value of yellow oleander Oil (YOO) with high FFA was reduced to 1.72 mgKOH g−1 by esterification with a statistically significant quadratic model at the optimal condition of methanol–Oil Ratio 0.35 (v/v), H2SO4 0.78% (v/v), reaction time 60 min and reaction temperature 55 °C. RSM predicted optimal condition for the transesterification was methanol–Oil Ratio 0.3 (v/v), reaction time 1.5 h and calcinated plantain peels (CPP) amount 3.0% (w/v) with yellow oleander Oil biodiesel (YOOB) yield of 95.25% (w/w), which was validated as 94.87% (w/w) while ANN predicted optimal condition was methanol–Oil Ratio 0.3 (v/v), reaction time 1.25 h and CPP amount 2.8% (w/v) with YOOB yield of 94.97% (w/w), which was validated as 95.09% (w/w). The results obtained showed that ANN was a better and more efficient optimization tool than RSM due to its higher value of R2 and lower value of AAD. The quality of the YOOB obtained was within the ASTM D6751 and DIN EN 14214 biodiesel specifications.
Amir H Mohammadi - One of the best experts on this subject based on the ideXlab platform.
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toward prediction of petroleum reservoir fluids properties a rigorous model for estimation of solution gas Oil Ratio
Journal of Natural Gas Science and Engineering, 2016Co-Authors: Seyedmorteza Tohidihosseini, Sassan Hajirezaie, Mehran Hashemidoulatabadi, Abdolhossein Hemmatisarapardeh, Amir H MohammadiAbstract:Abstract The amount of dissolved gas in production Oil has been always a great question in Oil and gas industry. Solution gas Oil Ratio is considered as a representative for the fraction of gas which is dissolved in Oil during different stages of Oil production. Several experimental methods have been developed for measuring this parameter. However, experimental procedures are usually time consuming, tedious and expensive. Thus, development of analytical equations and empirical correlations for estimation of solution gas Oil Ratio is of vital importance. In this study, a novel learning approach called least square support vector machine (LSSVM) optimized by coupled simulated annealing (CSA) was developed for calculating solution gas Oil Ratio as a function of temperature, bubble point pressure, gas specific gravity and Oil API. To this end, a large number of data points including more than a thousand data sets from multiple reservoirs covering a wide range of reservoir conditions and pressure-volume-temperature (PVT) properties were gathered from various sources of literature. In addition, several statistical and graphical analyses including Average Absolute Percentage Relative Error (AAPRE), Average Percentage Relative Error (APRE), Root Mean Square Error (RMSE) and Coefficient of Determination (R 2 ) were carried out to evaluate the accuracy and validity of model and to compare it with the most well-known implicit and explicit correlations of solution gas Oil Ratio estimation. Moreover, relevancy factor was employed to investigate the impact of each input parameter on solution gas Oil Ratio showing that bubble point pressure has the greatest effect on solution gas Oil Ratio. Finally, leverage approach was utilized to detect the data outliers and to find the applicability domain of the proposed model. The results in this study show that the developed model is able to estimate solution gas Oil Ratio with high accuracy and reliability making it possible to use the model in commercial software packages with various applications in Oil and gas industry.
Alok Kumar Tiwari - One of the best experts on this subject based on the ideXlab platform.
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biodiesel production from jatropha Oil jatropha curcas with high free fatty acids an optimized process
Biomass & Bioenergy, 2007Co-Authors: Alok Kumar Tiwari, Akhilesh Kumar, Hifjur RahemanAbstract:Response surface methodology (RSM) based on central composite rotatable design (CCRD) was used to optimize the three important reaction variables-methanol quantity (M), acid concentRation (C) and reaction time (T) for reduction of free fatty acid (FFA) content of the Oil to around 1 % as compared to methanol quantity (AT) and reaction time (T) and for carrying out transesterification of the pretreated Oil. Using RSM, quadratic polynomial equations were obtained for predicting acid value and transesterification. Verification experiments confirmed the validity of both the predicted models. The optimum combination for reducing the FFA of Jatropha curcas Oil from 14% to less than 1% was found to be 1.43% v/v H2SO4 acid catalyst, 0.28 v/v methanol-to-Oil Ratio and 88-min reaction time at a reaction temperature of 60 degrees C as compared to 0.16 v/v methanol-to-pretreated Oil Ratio and 24 min of reaction time at a reaction temperature of 60 degrees C for producing biodiesel. This process gave an average yield of biodiesel more than 99%. The fuel properties of jatropha biodiesel so obtained were found to be comparable to those of diesel and confirming to the American and European standards. (c) 2007 Elsevier Ltd. All rights reserved.
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biodiesel production from jatropha Oil jatropha curcas with high free fatty acids an optimized process
Biomass & Bioenergy, 2007Co-Authors: Alok Kumar Tiwari, Akhilesh Kumar, Hifjur RahemanAbstract:Abstract Response surface methodology (RSM) based on central composite rotatable design (CCRD) was used to optimize the three important reaction variables—methanol quantity (M), acid concentRation (C) and reaction time (T) for reduction of free fatty acid (FFA) content of the Oil to around 1% as compared to methanol quantity (M′) and reaction time (T′) and for carrying out transesterification of the pretreated Oil. Using RSM, quadratic polynomial equations were obtained for predicting acid value and transesterification. Verification experiments confirmed the validity of both the predicted models. The optimum combination for reducing the FFA of Jatropha curcas Oil from 14% to less than 1% was found to be 1.43% v/v H2SO4 acid catalyst, 0.28 v/v methanol-to-Oil Ratio and 88-min reaction time at a reaction temperature of 60 °C as compared to 0.16 v/v methanol-to-pretreated Oil Ratio and 24 min of reaction time at a reaction temperature of 60 °C for producing biodiesel. This process gave an average yield of biodiesel more than 99%. The fuel properties of jatropha biodiesel so obtained were found to be comparable to those of diesel and confirming to the American and European standards.
