Actas de congresos
Hybrid Optical Fiber Sensor And Artificial Neural Networks System For Bioethanol Quality Control And Productivity Enhancement
Registro en:
9780819472045
Proceedings Of Spie - The International Society For Optical Engineering. , v. 7004, n. , p. - , 2008.
0277786X
10.1117/12.786030
2-s2.0-45549096232
Autor
Gusken E.
Salgado R.M.
Rossell C.E.V.
Ohishi T.
Suzuki C.K.
Institución
Resumen
Bioethanol is produced by bio-chemical process that converts sugar or biomass feedstock into ethanol. After bio-chemical process, the solution is distilled under controlled conditions of pressure and temperature, in order to obtain an ethanol-water solution. However, the ethanol concentration analysis is generally performed off-line and, sometimes, a re-distillation process becomes necessary. In this research, an optical apparatus based on Fresnel reflection has been used in combination with artificial neural networks for determination of bioethanol concentration in hydro-alcoholic solution at any temperature. The volumetric concentration and temperature effect was investigated. This intelligent system can effectively detect and update in real-time the correction of distillation parameters to reduce losses of bioethanol and also to improve the quality in a production plant. 7004
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