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https://doi.org/10.37358/Rev.Chim.1949

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Revista de Chimie (Rev. Chim.), Year 2020, Volume 71, Issue 5, 132-140

https://doi.org/10.37358/RC.20.5.8121

Danuta Matei, Bogdan Doicin, Diana Cursaru, Dorin Stanica Ezeanu

Yield Optimization Using Artificial Neural Networks in Biodiesel Production from Soybean Oil

Abstract:

Biodiesel plays an important role in reducing the dependency of petroleum fuels and reduce environmental pollution. Biodiesel has attracted attention as a renewable, non-toxic, and biodegradable fuel. In the past years, researchers have expanded their work to new methods of obtaining biodiesel. In this work, biodiesel production using soybean oil from the industry is described. Biodiesel was further analyzed and compared with the EN biodiesel specifications. The characterization of biodiesel was performed in order to obtain density, viscosity and flash point. Moreover, the study was focused in optimized the biodiesel yield, obtain from soybean oil using Artificial Neural Networks (ANN). The variable parameters were molar ratio between methanol and oil, reaction temperature and catalyst quantity. The paper concludes that the ANN can be successfully used to optimize the biodiesel yield.
Keywords:
soybean oil; biodiesel; artificial neural network; artificial intelligence

Issue: 2020, Volume 71, Issue 5
Pages: 132-140
Publication date: 2020/5/29
https://doi.org/10.37358/RC.20.5.8121
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Creative Commons License
This article is published under the Creative Commons Attribution 4.0 International License
Citation Styles
Cite this article as:
MATEI, D., DOICIN, B., CURSARU, D., EZEANU, D.S., Yield Optimization Using Artificial Neural Networks in Biodiesel Production from Soybean Oil, Rev. Chim., 71(5), 2020, 132-140.

Vancouver
Matei D, Doicin B, Cursaru D, Ezeanu DS. Yield Optimization Using Artificial Neural Networks in Biodiesel Production from Soybean Oil. Rev. Chim.[internet]. 2020 May;71(5):132-140. Available from: https://doi.org/10.37358/RC.20.5.8121


APA 6th edition
Matei, D., Doicin, B., Cursaru, D. & Ezeanu, D.S. (2020). Yield Optimization Using Artificial Neural Networks in Biodiesel Production from Soybean Oil. Revista de Chimie, 71(5), 132-140. https://doi.org/10.37358/RC.20.5.8121


Harvard
Matei, D., Doicin, B., Cursaru, D., Ezeanu, D.S. (2020). 'Yield Optimization Using Artificial Neural Networks in Biodiesel Production from Soybean Oil', Revista de Chimie, 71(5), pp. 132-140. https://doi.org/10.37358/RC.20.5.8121


IEEE
D. Matei, B. Doicin, D. Cursaru, D.S. Ezeanu, "Yield Optimization Using Artificial Neural Networks in Biodiesel Production from Soybean Oil". Revista de Chimie, vol. 71, no. 5, pp. 132-140, 2020. [online]. https://doi.org/10.37358/RC.20.5.8121


Text
Danuta Matei, Bogdan Doicin, Diana Cursaru, Dorin Stanica Ezeanu,
Yield Optimization Using Artificial Neural Networks in Biodiesel Production from Soybean Oil,
Revista de Chimie,
Volume 71, Issue 5,
2020,
Pages 132-140,
ISSN 2668-8212,
https://doi.org/10.37358/RC.20.5.8121.
(https://revistadechimie.ro/Articles.asp?ID=8121)
Keywords: soybean oil; biodiesel; artificial neural network; artificial intelligence


RIS
TY - JOUR
T1 - Yield Optimization Using Artificial Neural Networks in Biodiesel Production from Soybean Oil
A1 - Matei, Danuta
A2 - Doicin, Bogdan
A3 - Cursaru, Diana
A4 - Ezeanu, Dorin Stanica
JF - Revista de Chimie
JO - Rev. Chim.
PB - Revista de Chimie SRL
SN - 2668-8212
Y1 - 2020
VL - 71
IS - 5
SP - 132
EP - 140
UR - https://doi.org/10.37358/RC.20.5.8121
KW - soybean oil
KW - biodiesel
KW - artificial neural network
KW - artificial intelligence
ER -


BibTex
@article{RevCh2020P132,
author = {Matei Danuta and Doicin Bogdan and Cursaru Diana and Ezeanu Dorin Stanica},
title = {Yield Optimization Using Artificial Neural Networks in Biodiesel Production from Soybean Oil},
journal = {Revista de Chimie},
volume = {71},
number = {5},
pages = {132-140},
year = {2020},
issn = {2668-8212},
doi = {https://doi.org/10.37358/RC.20.5.8121},
url = {https://revistadechimie.ro/Articles.asp?ID=8121}
}
 
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