A Wavelet-Based Optimization Method for Biofuel Production

Energies

Alessandro Cardarelli¹  Maurizio Carlini¹  Sonia Castellucci¹  Carlo Cattani¹  Jinsong Leng²  Guomin Sun² 

[1] Engineering School, DEIM, University of Tuscia, 01100 Viterbo, Italy;School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu 611731, China;

关键词: biodiesel;    colour histogram;    wavelet analysis;    scalogram;    energy;   

DOI  :  10.3390/en11020377

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown