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| Author(s): |
Igor Gomes Vidigal
Total Authors: 1
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| Document type: | Master's Dissertation |
| Press: | Lorena. |
| Institution: | Universidade de São Paulo (USP). Escola de Engenharia de Lorena (EEL/ASDI) |
| Defense date: | 2020-09-03 |
| Examining board members: |
Ana Lucia Gabas Ferreira;
Heizir Ferreira de Castro;
Eduardo Homem de Siqueira Cavalcanti
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| Advisor: | Ana Lucia Gabas Ferreira; Maria Lúcia Caetano Pinto da Silva |
| Abstract | |
The reuse of waste cooking oil (WCO) is considered an alternative raw material for the biodiesel production, since it takes advantage of the residues of the frying process after the use in the food chain, adding value and reducing the impact on the environment. Biodiesel, despite being a good alternative to fossil fuels, has low oxidative stability. The techniques for evaluating this parameter are generally costly and slow, therefore the objective of this study was to develop and validate a fast and reliable predictive system, based on the signals from the sensors of a portable electronic nose. Biodiesel was synthesized from commercial soybean oil and six OGR samples and their physical and chemical characteristics were determined before and after storage in AISI 1020 carbon steel and HDPE containers for 30 and 60 days at room temperature and 43°C. The results indicated that the oxidation rate was higher for samples stores for 60 days in steel flasks and under heating. The interpretation of the olfactory profile information was performed through the principal components analysis (PCA) of the signals generated from the 32 electronic nose sensors and in the stochastic modelling of individual sensor profiles. The model generated by the PCA was not able to discriminate the samples according to the levels of oxidation. On the other hand, the stochastic model involving a combination of signal parameters from 11 sensors showed an excellent quality of fit (R2 = 0,91) with training set that corresponds to 45 samples of different oxidative stability indexes and a good quality forecast (R2 = 0,84) with a validation set of 18 samples. The electronic nose system proved to accurate and efficient and can be used by biodiesel producers and distributors to access the stability oxidative of fuel in loco. (AU) | |
| FAPESP's process: | 17/25340-0 - Study of oxidative stability for a quality of biofuel |
| Grantee: | Igor Gomes Vidigal |
| Support Opportunities: | Scholarships in Brazil - Master |