Economic Comparison of Continuous and Batch Production of Biodiesel Using Soybean Oil

Benavides, Pahola Thathiana; Salazar, Juan M.; Diwekar, Urmila M.

doi:10.1002/ep.11736

Cited by 17 publications

(11 citation statements)

References 27 publications

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“…The literature is replete with research articles and reviews [6][7][8] on the modeling, 9-11 simulation, [12][13][14] process integration, [15][16][17] and optimization 11,[17][18][19][20] of biodiesel production. The transesterification kinetics has been their primary goal with most studies focusing on the methanolysis 21-23 and ethanolysis [24][25][26] of specific common oils such as soybean, 27,28 sunflower, 29,30 and palm oils.…”

Section: Introductionmentioning

confidence: 99%

Practically Useful Models for Kinetics of Biodiesel Production

Chhabra

Mosbach

Karimi

et al. 2019

ACS Sustainable Chem. Eng.

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We developed four kinetic models of varying complexity for biodiesel production. The models incorporate both transesterification and saponification, thereby making them practically applicable. We then propose an iterative parameter estimation algorithm to identify a prefixed number of significant rate constants via sensitivity analysis and estimate their kinetic parameters (A and ∆E) using non-linear regression. Using experimental data on eight different oils, two alcohols, and two catalysts, we show that our models accurately predict the dynamic concentration profiles of various species during the transesterification of oil. Furthermore, we demonstrate the applicability of the best model (based on the values of Mean Absolute Error (MAE), Root Mean Square Error (RMSE), and Akaike Information Criterion (AIC)) for eleven additional experiments by predicting the final biodiesel properties with significant accuracy. Finally, 1 using N-way ANOVA, we identify the choice of oil, alcohol and catalyst as the most significant input factors followed by the operating conditions of the reactor.

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Section: Introductionmentioning

confidence: 99%

Practically Useful Models for Kinetics of Biodiesel Production

Chhabra

Mosbach

Karimi

et al. 2019

ACS Sustainable Chem. Eng.

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“…As a renewable fuel, biodiesel has some advantages compared to petroleum-based diesel, since it is biodegradable and non-toxic, also, it has more favorable combustion emission profile, lower sulfur content as well as lubrication and cleaning machines which are better than diesel fuel [1,2]. Some vegetable oils that are usually used as the feedstock of biodiesel are palm oils, soybean, sunflower, rapeseed and jatropha [3][4][5][6][7]. Kemiri Sunan (Reutealis trisperma) oil can be used to produce biodiesel as well because its oil content is 50%-56% and the oil cannot be used as oil food due to its poisonous content (alpha oleo stearic acid) [8,9].…”

Section: Introduction mentioning

confidence: 99%

Selecting Biofuel Obtained from Sunan Pecan Oil for Diesel Engine Fuel

Kramadibrata¹,

Nurjanah²,

Muhaemin³

et al. 2019

JAST-A

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In search of biofuel as sustainable energy alternatives for anticipating the gradually decreasing fossil fuel that surely would affect engine performances of industrial machinery as a whole, the research herewith was aimed to confirm that oil obtained from compressing Sunan pecan seeds (Reutalis trisperma) is the suitable unedible raw oil material to be processed. By carrying out esterification and transesterification processes, the oil became biofuel which consists of various forms of long-chains components of fatty acid methyl ester (FAME). To make it usable for diesel engine, steps of further processes have been done, i.e., purification and fractionation to produce FAME of single fatty acid components as well as selecting them by PROMETHEE method. The result showed that FAME with single unfractionated fatty acid components was closed to diesel oil characteristics and so the most appropriate biofuel for internal combustion engine.

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“…High demand for diesel fuels has been increasing the petroleum prices in recent years . Depletion of world petroleum reserves and increasing environmental concerns have encouraged engineers and scientists to look for alternative, clean, and renewable energy sources (fuels) that can reduce the negative environmental impact of fossil fuels and secure the energy supplies .…”

Section: Introductionmentioning

confidence: 99%

Comparison of empirical equations and artificial neural network results in terms of kinematic viscosity prediction of fuels based on hazelnut oil methyl ester

Eryılmaz

Arslan

Yeşilyurt

et al. 2016

Env Prog and Sustain Energy

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This study investigates the prediction of kinematic viscosity values of hazelnut oil methyl ester (HOME) using empirical equations and artificial neural network (ANN) methods under varying temperature and blend ratio conditions with ultimate euro diesel (UED) fuel. Four different fuel blends (20, 40, 60, and 80% by volume mixing ratio) were studied along with UED fuel and pure biodiesel. Tests for kinematic viscosity were performed in the temperature range of 293.15–373.15 K at the intervals of 1 K for each fuel sample. Moreover, physicochemical properties of hazelnut crude oil (HCO), HOME and its blends, and also fatty acid composition of HCO and HOME were measured and discussed in light of ASTM and EN standards. Regression analyses were conducted using MATLAB software to determine the coefficient of determination (R2), root mean square error (RMSE), and correlation constants. The best R2 and RMSE values were obtained by Eq. 6 as 0.9999 and 0.0068, respectively. In the analyses conducted using ANN, R2, and RMSE were obtained as 0.999986 and 0.00149 respectively based on the overall HOME–UED fuel blends. Although R2 values obtained by these two methods were close to each other, RMSE obtained using ANN was smaller than that of the one obtained by Eq. 6. In conclusion, the ANN method captures the best accuracy for the prediction of biodiesel kinematic viscosity with the highest R2 of 0.999986 and the lowest RMSE of 0.00149, which is within ±1% error range of the experimental data. © 2016 American Institute of Chemical Engineers Environ Prog, 35: 1827–1841, 2016

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Economic Comparison of Continuous and Batch Production of Biodiesel Using Soybean Oil

Cited by 17 publications

References 27 publications

Practically Useful Models for Kinetics of Biodiesel Production

Practically Useful Models for Kinetics of Biodiesel Production

Selecting Biofuel Obtained from Sunan Pecan Oil for Diesel Engine Fuel

Comparison of empirical equations and artificial neural network results in terms of kinematic viscosity prediction of fuels based on hazelnut oil methyl ester

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