A Wavelet-Based Optimization Method for Biofuel Production

Maurizio Carlini, Sonia Castellucci, Guomin Sun, Jinsong Leng, Carlo Cattani and Alessandro Cardarelli
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Maurizio Carlini: Engineering School, DEIM, University of Tuscia, 01100 Viterbo, Italy
Sonia Castellucci: Engineering School, DEIM, University of Tuscia, 01100 Viterbo, Italy
Guomin Sun: School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu 611731, China
Jinsong Leng: School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu 611731, China
Carlo Cattani: Engineering School, DEIM, University of Tuscia, 01100 Viterbo, Italy
Alessandro Cardarelli: Engineering School, DEIM, University of Tuscia, 01100 Viterbo, Italy

Energies, 2018, vol. 11, issue 2, 1-17

Abstract: On a global scale many countries are still heavily dependent on crude oil to produce energy and fuel for transport, with a resulting increase of atmospheric pollution. A possible solution to obviate this problem is to find eco-sustainable energy sources. A potential choice could be the use of biodiesel as fuel. The work presented aims to characterise the transesterification reaction of waste peanut frying oil using colour analysis and wavelet analysis. The biodiesel production, with the complete absence of mucilages, was evaluated through a suitable set of energy wavelet coefficients and scalograms. The physical characteristics of the biodiesel are influenced by mucilages. In particular the viscosity, that is a fundamental parameter for the correct use of the biodiesel, might be compromised. The presence of contaminants in the samples can often be missed by visual analysis. The low and high frequency wavelet analysis, by investigating the energy change of wavelet coefficient, provided a valid characterisation of the quality of the samples, related to the absence of mucilages, which is consistent with the experimental results. The proposed method of this work represents a preliminary analysis, before the subsequent chemical physical analysis, that can be develop during the production phases of the biodiesel in order to optimise the process, avoiding the presence of impurities in suspension in the final product.

Keywords: biodiesel; colour histogram; wavelet analysis; scalogram; energy (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
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