Effect of incompletely converted soybean oil on biodiesel quality

Fernando, Sandun; Karra, Prashanth; Hernández, Rafael; Jha, Saroj Kumar

doi:10.1016/j.energy.2006.06.019

Cited by 163 publications

(87 citation statements)

References 5 publications

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“…The cloud point was reported to be -2.06 °C. The cloud point depends upon the feedstock used and must be taken into consideration if the fuel is to be used in cold environments (Fernando et al, 2007). The calorific value of JCL biodiesel was 39.3 MJ/kg, which was almost 88% of the calorific value of diesel (44.8 MJ/kg).…”

Section: Biodiesel Characterizationmentioning

confidence: 99%

Production of Biodiesel via In-Situ Supercritical Methanol Transesterification

Ani¹,

Ishak²,

Ismail³

2011

Biodiesel - Feedstocks and Processing Technologies

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Section: Biodiesel Characterizationmentioning

confidence: 99%

Production of Biodiesel via In-Situ Supercritical Methanol Transesterification

Ani¹,

Ishak²,

Ismail³

2011

Biodiesel - Feedstocks and Processing Technologies

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“…Biodiesel is safer to handle, store and transport compared to petroleum diesel because it is biodegradable, non-toxic and has a higher flash point than diesel. One of the major advantages of biodiesel is that it has potential to reduce dependency on imported petroleum through the use of domestic feedstocks for production [29,30].…”

Section: Biodieselmentioning

confidence: 99%

The Use of Artificial Neural Networks for Identifying Sustainable Biodiesel Feedstocks

et al. 2013

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Abstract:Over the past few decades, biodiesel produced from oilseed crops and animal fat is receiving much attention as a renewable and sustainable alternative for automobile engine fuels, and particularly petroleum diesel. However, current biodiesel production is heavily dependent on edible oil feedstocks which are unlikely to be sustainable in the longer term due to the rising food prices and the concerns about automobile engine durability. Therefore, there is an urgent need for researchers to identify and develop sustainable biodiesel feedstocks which overcome the disadvantages of current ones. On the other hand, artificial neural network (ANN) modeling has been successfully used in recent years to gain new knowledge in various disciplines. The main goal of this article is to review recent literatures and assess the state of the art on the use of ANN as a modeling tool for future generation biodiesel feedstocks. Biodiesel feedstocks, production processes, chemical compositions, standards, physio-chemical properties and in-use performance are discussed. Limitations of current biodiesel feedstocks over future generation biodiesel feedstock have been identified. The application of ANN in modeling key biodiesel quality parameters and combustion performance in automobile engines is also discussed. This review has determined that ANN modeling has a high potential to contribute to the development of renewable energy systems by accelerating biodiesel research.

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“…ASTM D 445 provides a method for obtaining the kinematic viscosity and the calculation method to determine the dynamic viscosity (Fernando et al 2007). Cannon glass capillary kinematic viscometer was used for determination of viscosity of all biodiesel samples.…”

Section: Physical Properties Measurementmentioning

confidence: 99%

“…Flash point temperature is the minimum temperature at which vapor pressure of the hydrocarbon is sufficient to produce the vapor needed for spontaneous ignition of the fuel with air in the presence of an external source, i.e., spark or flame. A Pensky-Martens closed-cup tester of fuel oils (ASTM 1994a) was used to determine this property according to ASTM D 93 (Fernando et al 2007). …”

Section: Physical Properties Measurementmentioning

confidence: 99%

Utilization of constructional lime as heterogeneous catalyst in biodiesel production from waste frying oil

Ghanei

Moradi

Heydarinasab

et al. 2013

Int. J. Environ. Sci. Technol.

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Waste frying oil as valueless material which is disposed to environment can be used as a promising feedstock to produce biodiesel. In this study, constructional lime was used as alkaline heterogeneous catalyst for biodiesel production from virgin and waste frying oil. After determining the best activation temperature for the catalyst (600°C), transesterification reactions were carried out at 65°C, MeOH to oil molar ratio of 12:1, and 1 wt% of activated constructional lime under vigorous mixing for 5 h. Yield of reactions for virgin and waste frying oil (2.17 % free fatty acid) and pretreated waste frying oil (0.918 % free fatty acid) were 87, 93.9, and 94 %, respectively. Transesterification of virgin frying oil and pretreated waste frying oil were done at 65°C, MeOH to oil molar ratio of 6:1, and 1 wt% of KOH as catalyst under vigorous mixing for 2 h, for comparison. Yield of the reaction was 98.6 and 95.1 %, respectively. Therefore, when constructional lime is used as catalyst pretreatment of waste oil is not necessary.

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Effect of incompletely converted soybean oil on biodiesel quality

Cited by 163 publications

References 5 publications

Production of Biodiesel via In-Situ Supercritical Methanol Transesterification

Production of Biodiesel via In-Situ Supercritical Methanol Transesterification

The Use of Artificial Neural Networks for Identifying Sustainable Biodiesel Feedstocks

Utilization of constructional lime as heterogeneous catalyst in biodiesel production from waste frying oil

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