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|Type:||Artigo de evento|
|Title:||Development Of A Hybrid Neural System For Monitoring The Bioethanol Production With Yeast Recycling|
|Abstract:||A software sensor system was developed to obtain the biomass substrate and product concentration rates from secondary measurements as pH, turbidity, CO2 rate, and temperature. The sensor software uses a neural hybrid model to combine a multilayer perception artificial neural network and the mass balance that describes the fermentation kinetic process. A mixture of hydrolyzed bagasse and cane molasses was used as fermentation material. This type of composition is typical of the second generation ethanol production process coupled with the first generation process. The integrated structure allows making the monitoring of bioethanol production in real time. This is an abstract of a paper presented at the 2013 AIChE Spring Meeting & 9th Global Congress on Process Safety (San Antonio, TX 4/28-5/2/2013).|
|Appears in Collections:||Unicamp - Artigos e Outros Documentos|
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