(In Press) Sensitivity analysis of catalyzed-transesterification as a renewable and sustainable energy production system by adaptive neuro-fuzzy methodology

Sajjadi, B, Bin Abdul Raman, A, Parthasarathy, R and Shamshirband, S 2016, '(In Press) Sensitivity analysis of catalyzed-transesterification as a renewable and sustainable energy production system by adaptive neuro-fuzzy methodology', Journal of the Taiwan Institute of Chemical Engineers, pp. 1-12.


Document type: Journal Article
Collection: Journal Articles

Title (In Press) Sensitivity analysis of catalyzed-transesterification as a renewable and sustainable energy production system by adaptive neuro-fuzzy methodology
Author(s) Sajjadi, B
Bin Abdul Raman, A
Parthasarathy, R
Shamshirband, S
Year 2016
Journal name Journal of the Taiwan Institute of Chemical Engineers
Start page 1
End page 12
Total pages 12
Publisher Elsevier BV
Abstract The current study aims at introducing a fast and precise method for analyzing the operation of renewable and sustainable energy systems. Accordingly, ultrasound assisted transesterification as a novel method of biodiesel synthesis and biodiesel synthesis using mechanical stirring were selected as the two main systems for renewable energy production. It is necessary to analyze the parameters which are the most influential on transesterification yield estimation and prediction in order to assess transesterification yield. ANFIS (adaptive neuro-fuzzy inference system) was used in this study for selecting the most influential parameters based on five input parameters (operational variables). The effectiveness of the proposed strategy was verified with the simulation results. Experiments were conducted to extract training data for the ANFIS network. Furthermore, RSM (response surface methodology) was used to design the experiments and analyze the interactive and individual effects of the five independent variables in order to evaluate the results predicted by ANFIS. The obtained results clearly demonstrated the effects of operational variables on the final transesterification yield.
Subject Chemical Engineering not elsewhere classified
Keyword(s) ANFIS
Biodiesel
Renewable energy
Transesterification
Variable selection
DOI - identifier 10.1016/j.jtice.2015.12.001
Copyright notice 2015 Taiwan Institute of Chemical Engineers
ISSN 1876-1070
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