16 May 2008 Hybrid optical fiber sensor and artificial neural network system for bioethanol quality control and productivity enhancement
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Proceedings Volume 7004, 19th International Conference on Optical Fibre Sensors; 70042Z (2008); doi: 10.1117/12.786030
Event: 19th International Conference on Optical Fibre Sensors, 2008, Perth, WA, Australia
Abstract
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.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Edmilton Gusken, Ricardo M. Salgado, Carlos E. V. Rossell, Takaaki Ohishi, Carlos K. Suzuki, "Hybrid optical fiber sensor and artificial neural network system for bioethanol quality control and productivity enhancement", Proc. SPIE 7004, 19th International Conference on Optical Fibre Sensors, 70042Z (16 May 2008); doi: 10.1117/12.786030; https://doi.org/10.1117/12.786030
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KEYWORDS
Bioalcohols

Fiber optics sensors

Intelligence systems

Artificial neural networks

Control systems

Refractive index

Water

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