Biodiesel from frying oil with Artificial neural networks technique: Methods of production

In this study, we used a mix of frying oils (FO) to make biodiesel and then checked its properties. Biodiesel, made from vegetable contents and frying oils, has become a popular and clean energy source recently Biodiesel, as an non-conventional fuel, offers various benefits over fossil fuels, including renewability, reduced emissions of air contaminants, and the flexibility to be produced from a variety of feedstocks. Frying oil can assist as a capability resource for biodiesel manufacture, addressing the environmental challenge posed by its disposal. The ester interchange process is crucial for synthesis of biodiesel, offering a cost-effective solution under mild reaction conditions. Using biodiesel is good for the environment and also helps reduce the dilemma of whether to use crops for fuel or food. We used an artificial neural network to forecast the results of the experiment. The neural network model was based on the bank propagation learning algorithm. The results showed that using an artificial neural network is a good method, providing acceptable results.

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Publication Details

Published
2024-11-22
DOI
https://doi.org/10.1109/icaccm61117.2024.11059138
Primary Topic
Biodiesel Production and Applications
Type
article
Field-Weighted Citation Impact
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article

Biodiesel from frying oil with Artificial neural networks technique: Methods of production

Vivek Goel, Sunil Kumar, Preeti
Biodiesel Production and Applications
article

Biodiesel from frying oil with Artificial neural networks technique: Methods of production

Vivek Goel, Sunil Kumar, Preeti
article en

Abstract

In this study, we used a mix of frying oils (FO) to make biodiesel and then checked its properties. Biodiesel, made from vegetable contents and frying oils, has become a popular and clean energy source recently Biodiesel, as an non-conventional fuel, offers various benefits over fossil fuels, including renewability, reduced emissions of air contaminants, and the flexibility to be produced from a variety of feedstocks. Frying oil can assist as a capability resource for biodiesel manufacture, addressing the environmental challenge posed by its disposal. The ester interchange process is crucial for synthesis of biodiesel, offering a cost-effective solution under mild reaction conditions. Using biodiesel is good for the environment and also helps reduce the dilemma of whether to use crops for fuel or food. We used an artificial neural network to forecast the results of the experiment. The neural network model was based on the bank propagation learning algorithm. The results showed that using an artificial neural network is a good method, providing acceptable results.

Gurukul Kangri Vishwavidyalaya (IN)
Openalex Percentile: Top 74%
Biodiesel Production and Applications
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