Machine learning technology in biodiesel research: A review

The drastic rise in global warming and the fossil fuel consumption have resulted in destruction of the ecological balance, reduction of the environmental quality, and demotion of the sustainable development. The utilization of biofuels have been paid much attention to by researchers and policy makers due to its benefits and indisputable contributions to protect the living environment. Free fatty acid-rich rice bran oil which is unsuitable for food purposes could be a good candidate for biofuel production. Accordingly, rice bran oil-based biofuels (straight oil and its biodiesel) as promising alternative fuels to petrodiesel were reviewed in this article from the sources, components, and physicochemical perspectives. In addition, biodiesel production from rice bran oil using various methods and catalysts was thoroughly detailed. The oxidative stability of rice bran biodiesel as a function of the storage time was also discussed. The application of rice bran oil-based biofuels to diesel engines was completely analyzed and critically discussed based on engine performance, combustion, and emissions characteristics. The effects of using rice bran oil-based biofuels on the lubricating oil degradation, deposit formation, wear, and sound intensity of diesel engines were explained in detail. Finally, the economic aspects of using rice bran oil and its biodiesel as fuels were also assessed. As a conclusion, the blend containing 20% rice bran oil biodiesel and 80% petrodiesel fuel, both in volume, could be the most effective composition considering the techno-economic aspects of diesel engines; meanwhile the remaining blends appeared to be improper for the existing diesel engines.

Rice bran oil-based biodiesel as a promising renewable fuel alternative to petrodiesel: a review.

Effect of emission from ethylic biodiesel of edible and non-edible vegetable oil, animal fats, waste oil and alcohol in CI engine

Estimation of biodiesel cetane number, density, kinematic viscosity and heating values from its fatty acid weight composition

Modeling of cetane number of biodiesel from fatty acid methyl ester (FAME) information using GA-, PSO-, and HGAPSO- LSSVM models

One of the important properties of fuel related to compression ignition (CI) engine applications is the cetane number. The present work aims to develop a universal model to predict the cetane number of any candidate biodiesel fuel based on its fatty acid methyl ester composition using a multi-linear regression approach. The biodiesel composition effects on the cetane number are captured through two new parameters, viz., straight-chain saturated factor (SCSF) and modified degree of unsaturation (DUm), which can be estimated directly from the measured biodiesel composition data. The proposed composition-based approach for predicting the cetane number of biodiesel is not limited to a specific data set. The predictions from the proposed correlation are compared to the measured cetane number of nine different biodiesel fuels of varied compositions, having wide variations of the cetane number in the range of 49–62. The comparison is found to be quite satisfactory, with a regression coefficient of 0.95 and an av...

Shashank Mishra

Papers

Predicting the Cetane Number of Biodiesel Fuels from Their Fatty Acid Methyl Ester Composition

Comparison of biodiesel fuel behavior in a heavy duty turbocharged and a light duty naturally aspirated engine

A composition based approach to predict density, viscosity and surface tension of biodiesel fuels