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Predictive Modelling and Surface Analysis for Optimization of Production of Biofuel as A Renewable Energy Resource: Proposition of Artificial Neural Network Search
Joint Authors
Nguyen-Thoi, Trung
Garg, Akhil
Murthy, Sri Krishna
Goyal, Ankit
Rajasekar, N.
Pareek, Kapil
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-07-27
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
The present study undertakes the research problem on the optimization of production of biodiesel as a renewable energy resource from the transesterification of soybean oil and ethanol.
Predictive modelling and surface analysis techniques were applied based on the artificial neural network search algorithm to correlate the yield of ethyl ester and glycerol and the input parameters.
The formulated models accurately predicted the yield of the products with a high coefficient of determination.
When the reaction time is low, the ester yield decreases with an increase in temperature and the maximum yield of obtained biodiesel at a very low value of time of reaction and temperature.
Plots based on parametric and sensitivity analysis reveals that the yield of ethyl ester can be maximized and that of glycerol minimized at an integrated condition with lower ethanol/oil molar ratio, higher temperature value, higher catalyst concentration value, and longer time of reaction.
The global sensitivity analysis reveals that the catalyst concentration and temperature of the reaction influence the yield of ethyl ester the most.
In addition, an optimal ethyl ester yield of 95% can be achieved at specific input conditions.
Moreover, according to the results of global sensitivity analysis, the catalyst concentration is found to be most significant for both the glycerol and ethyl ester yield.
American Psychological Association (APA)
Murthy, Sri Krishna& Goyal, Ankit& Rajasekar, N.& Pareek, Kapil& Nguyen-Thoi, Trung& Garg, Akhil. 2020. Predictive Modelling and Surface Analysis for Optimization of Production of Biofuel as A Renewable Energy Resource: Proposition of Artificial Neural Network Search. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1194930
Modern Language Association (MLA)
Murthy, Sri Krishna…[et al.]. Predictive Modelling and Surface Analysis for Optimization of Production of Biofuel as A Renewable Energy Resource: Proposition of Artificial Neural Network Search. Mathematical Problems in Engineering No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1194930
American Medical Association (AMA)
Murthy, Sri Krishna& Goyal, Ankit& Rajasekar, N.& Pareek, Kapil& Nguyen-Thoi, Trung& Garg, Akhil. Predictive Modelling and Surface Analysis for Optimization of Production of Biofuel as A Renewable Energy Resource: Proposition of Artificial Neural Network Search. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1194930
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1194930