Methyl Ester Production from Rubber Seed oil Using Two-Step Pretreatment Process

Satyanarayana, M.; Muraleedharan, C.

doi:10.1080/15435070903501290

Cited by 47 publications

(15 citation statements)

References 9 publications

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“…All these types of oils come from vegetables or animal fat, making it biodegradable and nontoxic (Marchetti, Miguel, & Errazu, 2007). In the biodiesel production process, different types of catalysts, such as alkali catalysts, acidic catalysts and enzymatic catalysts, are used (Burton, Fan, & Austic, 2010;Mumtaz et al, 2012;Parida, Sahu, & Misra, 2012;Satyanarayana & Muraleedharan, 2010). However, the alkali catalysts are used mainly in industry, because they improve the transesterification rate especially under moderate reaction conditions (Freedman, Pryde, & Mounts, 1984).…”

Section: Introductionmentioning

confidence: 99%

An Experimental Investigation of the Effective Parameters on Wet Washing of Biodiesel Purification

Abbaszadeh¹,

Ghobadian²,

Najafi³

et al. 2014

Int J Automot Mech Eng

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The purity level of biodiesel has a strong effect on fuel properties and on engine life. Therefore, a purification step is necessary. Generally, there are two accepted methods for purifying biodiesel: wet washing and dry washing. In this research, the effective parameters on wet purification of biodiesel were investigated. Three types of biodiesel wash water (tap water, distilled water and water with 3% phosphoric acid), three wet washing temperatures (30, 45 and 60ºC), and three levels of water to biodiesel ratios (0.5, 1 and 1.5 v/v) were used. In order to perform the wet washing of biodiesel, a bubble washing technique was used. The catalyst, soap and water residue were considered as the criteria to choose the optimum water washing condition and were measured after the wet washing of crude biodiesel. The results showed that the best condition for catalyst and soap removal from biodiesel are acidified water, a temperature of 60ºC and a water to biodiesel ratio of 1.5 (v/v). Also, the least amount of water residue in the final purified biodiesel was observed when using tap water at a temperature of 60ºC and a water to biodiesel ratio of 0.5 (v/v).

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Section: Introductionmentioning

confidence: 99%

An Experimental Investigation of the Effective Parameters on Wet Washing of Biodiesel Purification

Abbaszadeh¹,

Ghobadian²,

Najafi³

et al. 2014

Int J Automot Mech Eng

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show abstract

“…Perusal of the literature studied showed that several works had been performed for the production of bio-diesel (Satyanarayana and Muraleedharan (2010), Panchal et al (2010), Mohanraj, and Murugu Mohan Kumar (2013), Vedaraman et al (2011), Agarwal et al (2013) and Kabir et al(2013)) from various oils including rubber seed oil. However, only limited works had been done by employing both the catalyst in esterification process for the methyl ester production using rubber seed oil.…”

Section: Introductionmentioning

confidence: 98%

Comparative Studies on Biodiesel From Rubber Seed Oil Using Homogeneous and Heterogeneous Catalysts

Devi¹,

Subadevi

Raj

2014

International Journal of Green Energy

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Non edible oils are being lucratively utilized for the production of biodiesel. Rubber seed oil being a byproduct can have fiscal advantage in its use. Rubber seed oil, which gets hold of minimum industrial application, was chosen as a raw material for the production of biodiesel in the present study. Perusal of the literature studied showed that very few works in rubber seed oil have been carried out by using heterogeneous catalyst. Therefore, in this study, an attempt has been made to compare the efficiency of homogeneous and heterogeneous catalysts for biodiesel production from the rubber seed oil. Consequently, for the selection of a suitable catalyst, quantitative analysis of rubber seed methyl ester was made by FTIR (Fourier Transform Infra Red Spectroscopy).

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“…Among the biofuels, vegetable oil-based biodiesels and to a lesser extent, raw vegetable oils are newly considered as the most promising options [4][5][6][7][8][9][10][11][12]. There are many articles related to engine performance, emission and combustion characteristics when biodiesel and its derivatives are used as fuel and it has been found to be economical and competitive compared to standard diesel [13][14][15][16][17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Applications of artificial neural networks in prediction of performance, emission and combustion characteristics of variable compression ratio engine fuelled with waste cooking oil biodiesel

Muralidharan

Vasudevan

2014

J Braz. Soc. Mech. Sci. Eng.

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The intention of this study is to predict the performance, emission and combustion characteristics of a single-cylinder, four-stroke variable compression ratio engine fuelled with waste cooking oil methyl ester and its blends-standard diesel with the aid of artificial neural network (ANN). The tests were performed with fuel blends of 20, 40, 60 and 80 % biodiesel with standard diesel, with an engine speed of 1,500 rpm and at compression ratios of 18:1, 19:1, 20:1, 21:1 and 22:1 under different loading conditions. Three different ANN models based on standard feed-forward back-propagation algorithm have been developed to predict the performance, emission and combustion characteristics of VCR engine. To train the network, compression ratio, blend percentage and percentage load were used as input parameters whereas engine parameters such as brake thermal efficiency, specific fuel consumption, brake power, indicated mean effective pressure, mechanical efficiency and exhaust gas temperature were used as output parameters for the performance model and exhaust emissions such as carbon dioxide, carbon monoxide, hydrocarbon and NO x were used as output parameters for emission model. Separate model is developed for combustion characteristics in which compression ratio, blend percentage, load percentage and crank angle were used as the input parameters whereas combustion pressure, heat release rate, ignition delay, combustion duration and mass fraction burnt were used as the output parameters. This study shows that there is a good correlation between the ANN-predicted values and the experimental data for different engine performance, emission parameters and combustion characteristics. Keywords Biodiesel Á Variable compression ratio engine Á Performance Á Combustion Á Emission Á Artificial neural networks List of symbols ANN Artificial neural networks B20 20 % Biodiesel ? 80 % Diesel B40 40 % Biodiesel ? 60 % Diesel B60 60 % Biodiesel ? 40 % Diesel B80 80 % Biodiesel ? 20 % Diesel BP Brake power BTE Brake thermal efficiency CA Crank angle CO Carbon monoxide CO 2 Carbon dioxide CNG Compressed natural gas CR Compression ratio HC Hydro carbon IMEP Indicated mean effective Pressure LM Levenberg-Marquardt (algorithm) MLP Multi-layer perception MSE Mean square error NO x Nitrogen oxides O 2

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Methyl Ester Production from Rubber Seed oil Using Two-Step Pretreatment Process

Cited by 47 publications

References 9 publications

An Experimental Investigation of the Effective Parameters on Wet Washing of Biodiesel Purification

An Experimental Investigation of the Effective Parameters on Wet Washing of Biodiesel Purification

Comparative Studies on Biodiesel From Rubber Seed Oil Using Homogeneous and Heterogeneous Catalysts

Applications of artificial neural networks in prediction of performance, emission and combustion characteristics of variable compression ratio engine fuelled with waste cooking oil biodiesel

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