scholarly journals Developing an Extreme Learning Machine-Based Model for Estimating the Isothermal Compressibility of Biodiesel

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Yue Wang ◽  
Hamid Heydari
Keyword(s):  
Fatty Acid ◽  
Extreme Learning Machine ◽  
Isothermal Compressibility ◽  
Fossil Fuels ◽  
Methyl Esters ◽  
Molecular Structures ◽  
Ethyl Esters ◽  
Long Chain Fatty Acid ◽  
Temperature And Pressure ◽  
Learning Machine

Nowadays, the high consumption of fossil fuels has caused many pollutants and environmental problems. Biodiesel has recently been considered as a clean and renewable alternative to fossil fuels. They are found in some molecular structures including fatty acid ethyl esters (FAEEs) and also fatty methyl esters (FAMEs), having various thermophysical characteristics. Thus, it appears essential to select the suitable methods for a particular diesel engine to estimate the ester characteristics. The current research sets out to develop a new and robust method predicting isothermal compressibility of long-chain fatty acid methyl and ethyl esters directly from several basic efficient parameters (pressure, temperature, normal melting point, and molecular weight). Therefore, as a novel and prevailing mathematical method in this field, an extreme learning machine was implemented for isothermal compressibility on the massive dataset. According to statistical evaluations, this novel established model had high accuracy and applicability (R2 = 1 and RMSE = 0.0018714) which is more accurate than previous models presented by former researchers. Among various factors of the sensitivity analysis, temperature and pressure had the greatest effect on the output values, so that the output parameter has a direct relationship with temperature and an inverse relationship with pressure with relevancy factors of 22.44% and −79.81%.

scholarly journals Improvement of the compression ignition behaviour and combustion efficiency of the second generation biofuel BIOXDIESEL

2019 ◽  
Vol 178 (3) ◽  
pp. 187-190 ◽  
Author(s):  
Mieczysław STRUŚ ◽  
Wojciech POPRAWSKI
Keyword(s):  
Fatty Acid ◽  
Diesel Fuel ◽  
Fossil Fuels ◽  
Second Generation ◽  
Methyl Esters ◽  
Component Composition ◽  
Ethyl Esters ◽  
Biodiesel Fuel ◽  
Compression Ignition ◽  
Generation Biofuel

Biodiesel fuel is covering more and more place in the market. The reason is a limited fossil fuels resources and the need to reduce emission of harmful substances by application of the fuel made of renewable resources. Currently in Poland and in Europe, the Fatty Acid Methyl Esters are used as biocomponent of the biodiesel fuel or it is used as pure biodiesel fuel. This paper presents the research on the biofuel, which contains mainly Fatty Acid Ethyl Esters, (the energetic value of FAEE is higher than FAME) and mineral Diesel fuel is a small addition. This paper presents research on the improvement of the compression ignition behaviour and combustion effectiveness of the second generation biofuel BIOXDIESEL, which contains up to 75% of biocomponents (FAEE with bioethanol) with addition of mineral Diesel fuel. Improvement of the auto-ignition properties is achieved through the multi-component composition of Bioxdiesel fuel and dosing of enriching additives. The quality of the fuel has been evaluated during engine testing and during laboratory measurement of fuel parameters. Whereas satisfactory results show that it is appropriate to supplement the composition of biofuels produced from waste vegetable and animal fats and alcohol with the refining additive.

Stereoselective synthesis of unsaturated very long chain fatty acid methyl esters

1999 ◽  
Vol 40 (21) ◽  
pp. 4041-4044 ◽  
Author(s):  
Julie Defretin ◽  
Jairo Saez ◽  
Xavier Franck ◽  
Reynald Hocquemiller ◽  
Bruno Figadère
Keyword(s):  
Fatty Acid ◽  
Fatty Acid Methyl Esters ◽  
Stereoselective Synthesis ◽  
Methyl Esters ◽  
Chain Fatty Acid ◽  
Long Chain Fatty Acid ◽  
Acid Methyl ◽  
Long Chain

scholarly journals Rapid NIR determination of alkyl esters in virgin olive oil

2017 ◽  
Vol 68 (2) ◽  
pp. 195 ◽  
Author(s):  
J. A. Cayuela
Keyword(s):  
Fatty Acid ◽  
Olive Oil ◽  
Predictive Models ◽  
Near Infrared ◽  
Methyl Esters ◽  
External Validation ◽  
Virgin Olive Oil ◽  
Ethyl Esters ◽  
The European Union ◽  
Alkyl Esters

The regulation of The European Union for olive oil and olive pomace established the limit of 35 mg·kg-1 for fatty acids ethyl ester contents in extra virgin olive oils, from grinding seasons after 2016. In this work, predictive models have been established for measuring fatty acid ethyl and methyl esters and to measure the total fatty acid alkyl esters based on near infrared spectroscopy (NIRS), and used successfully for this purpose. The correlation coefficients from the external validation exercises carried out with these predictive models ranged from 0.84 to 0.91. Different classification tests using the same models for the thresholds 35 mg·kg-1 for fatty acid ethyl esters and 75 mg·kg-1 for fatty acid alkyl esters provided success percentages from 75.0% to 95.2%.

ChemInform Abstract: Stereoselective Synthesis of Unsaturated Very Long Chain Fatty Acid Methyl Esters

ChemInform ◽  
2010 ◽  
Vol 30 (32) ◽  
pp. no-no
Author(s):  
Julie Defretin ◽  
Jairo Saez ◽  
Xavier Franck ◽  
Reynald Hocquemiller ◽  
Bruno Figadere
Keyword(s):  
Fatty Acid ◽  
Fatty Acid Methyl Esters ◽  
Stereoselective Synthesis ◽  
Methyl Esters ◽  
Chain Fatty Acid ◽  
Long Chain Fatty Acid ◽  
Acid Methyl ◽  
Long Chain
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