Development of methodology for pre-classification of residual oil and fat (OGR) for biofuel production

• Grant number: 14/25001-2
• Support Opportunities: Program for Research on Bioenergy (BIOEN) - Regular Program Grants
• Start date: May 01, 2015
• End date: April 30, 2018
• Field of knowledge: Interdisciplinary Subjects
• Principal Investigator: Ana Lúcia Gabas
• Grantee: Ana Lúcia Gabas
• Host Institution: Escola de Engenharia de Lorena (EEL). Universidade de São Paulo (USP). Lorena , SP, Brazil
• Associated researchers: Adriano Francisco Siqueira ; Domingos Sávio Giordani ; Mariana Pereira de Melo

Abstract

Actually, Brazil stands out for generating 40% of its energy from renewable energy sources, especially products from sugar cane and biofuel. Brazil's political strategy is world leading production, use and marketing of biofuels, and it is expected an exponential growth in production in the next years. This project aims to contribute to the development of a methodology for pre-assessment of residual oil and fat (OGR), from the frying food for the production of biofuel. It is known that the characteristics of the raw material directly influence the final quality of the biofuel. Thus, it will be used an electronic nose for classifying the origin of the OGR, which will be correlated with the quality indicators of biofuel. This study will allow optimization of the production of biofuel, with considerable reduction in the analysis time and without using sophisticated and expensive equipment. (AU)

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

SIQUEIRA, ADRIANO F.; VIDIGAL, IGOR G.; MELO, MARIANA P.; GIORDANI, DOMINGOS S.; BATISTA, POLLYANNA S.; FERREIRA, ANA L. G.. Assessing Waste Cooking Oils for the Production of Quality Biodiesel Using an Electronic Nose and a Stochastic Model. ENERGY & FUELS, v. 33, n. 4, p. 3221-3226, APR 2019. (14/25001-2)

SIQUEIRA, A. F.; MELO, M. P.; GIORDANI, D. S.; GALHARDI, D. R. V.; SANTOS, B. B.; BATISTA, P. S.; FERREIRA, A. L. G.. Stochastic modeling of the transient regime of an electronic nose for waste cooking oil classification. Journal of Food Engineering, v. 221, p. 114-123, MAR 2018. (15/09766-1, 14/25001-2)