Abstract:Fatty acid alkyl esters (FAMEs) derived from waste vegetable oils and non-edible oil sources are the most attractive alternative liquid biofuel in the energy field. Substitute methyl esters derived from waste cooking oil (WCO) have a lower induction period (3.12 h) and do not satisfy the Biodiesel EN 14214:2012 Standard (8 h). In this study, concentrations of 100, 250, 500, and 1000 ppm of four different types of phenolic antioxidants—butylated hydroxyanisole (BHA), butylated hydroxytoluene (BHT), tert-butyl h… Show more
“…TBHQ molecules have two -OH groups connected to the aromatic ring structure, while BHT and BHA have only one. 46,47 To model the behavior of the antioxidants in biodiesel, the data from Tables 1, 2, and 3 were also grouped into a single spreadsheet and used in the regression module of the multilayer perceptron (MLP) artificial neural networks. In the worksheet, cases from 1 to 19 correspond to samples containing TBHQ, from 20 to 36 correspond to samples with BHA, and from 37 to 55 to samples with BHT.…”
The objective of the present work was to apply self-organizing feature maps (SOFM) and multilayer perceptron (MLP) to evaluate the protective capacity of tert-butylhydroquinone (TBHQ), butylhydroxyanisole (BHA), and butylhydroxytoluene (BHT) antioxidants against the biodiesel oxidation reaction. For this, the antioxidant concentration and the biodiesel compliance parameters were used as continuous input variables and the type of antioxidant as a categorical. The SOFM proved to be an adequate tool for the classification of biodiesel samples containing antioxidants. The performance of the 5 most active networks of the model ranged from 89 to 99% for training, testing, and validation with an error below 1.42 × 10-4. Statistical tests applied to validate the model showed no significant difference between predicted and experimental values. The global sensitivity analysis showed that the relative protection factor (RPF) contributed with 34.89%, the antioxidant with 31.49%, the induction period with 10.69%, the water content with 6.00%, and the others all together with 16.93% in the construction of the regression models by MLP.
“…TBHQ molecules have two -OH groups connected to the aromatic ring structure, while BHT and BHA have only one. 46,47 To model the behavior of the antioxidants in biodiesel, the data from Tables 1, 2, and 3 were also grouped into a single spreadsheet and used in the regression module of the multilayer perceptron (MLP) artificial neural networks. In the worksheet, cases from 1 to 19 correspond to samples containing TBHQ, from 20 to 36 correspond to samples with BHA, and from 37 to 55 to samples with BHT.…”
The objective of the present work was to apply self-organizing feature maps (SOFM) and multilayer perceptron (MLP) to evaluate the protective capacity of tert-butylhydroquinone (TBHQ), butylhydroxyanisole (BHA), and butylhydroxytoluene (BHT) antioxidants against the biodiesel oxidation reaction. For this, the antioxidant concentration and the biodiesel compliance parameters were used as continuous input variables and the type of antioxidant as a categorical. The SOFM proved to be an adequate tool for the classification of biodiesel samples containing antioxidants. The performance of the 5 most active networks of the model ranged from 89 to 99% for training, testing, and validation with an error below 1.42 × 10-4. Statistical tests applied to validate the model showed no significant difference between predicted and experimental values. The global sensitivity analysis showed that the relative protection factor (RPF) contributed with 34.89%, the antioxidant with 31.49%, the induction period with 10.69%, the water content with 6.00%, and the others all together with 16.93% in the construction of the regression models by MLP.
For biodiesel to be an effective alternative to diesel and to become widely used, it must overcome various hurdles. Oxidation stability and low-temperature performance are the two critical characteristics of biodiesel fuel. This chapter describes an approach based on the use of organic additives of synthetic or natural origin to overcome the problems presented by biodiesel. Although it is a field in which a large amount of information already exists, it is necessary to continue searching for new, more economical, and effective additives of natural origin.
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