Title:
Function Modeling of Inhibition in Bioethanol Fermentation Using an Adaptive System
Author(s):
Ntihuga, J.N., Senn, T., Gchwind, P., Kohlus, R.
Document(s):
Paper
Abstract:
This work concerns adaptive function modeling of inhibitory levels of and correlation between ethanol, dissolved carbon dioxide (CO2), pH, temperature, mash, rate of microbial growth and mass transfer of ethanol in stripping gas during anaerobic batch fermentation. The anaerobic batch fermentation experimental setup included six reactors of one litre each with sensors connected to a parameters recording system. Inhibitory effects on yeast growth were studied for the strain Saccharomyces cerevisiae (Kornbrand) under anaerobic batch conditions. Mass transfer of ethanol was carried out using modified dynamic gassing-out technique. Adaptive system was constructed using Synapse software to analyse different parameters affecting bio-ethanol fermentation. Using adaptive system, the effect of different parameters on anaerobic batch fermentation was divided into three important regions/models based on ratio of substrate to volumetric mass transfer coefficient and the ratio of volume of CO2 to ethanol: Favourable fermentation region/model S/ke<60 and Cin/Ethin>17.5; S/ke>125 and Cin/Ethin<11.5), unfavourable fermentation region/model (S/ke<60 and Cin/Ethin<11.5; S/ke>125 and Cin/Ethin>17.5) and complex fermentation region/model (60
Keywords:
adaptive system, growth inibition, stripping operation, saccharomyces cerevisiae (kornbrand), statistical model, volumetric mass transfer coefficient
Topic:
Biomass Conversion Technologies for Heating, Electricity and Chemicals
Subtopic:
Enzymatic processes
Event:
19th European Biomass Conference and Exhibition
Session:
OA6.2
Pages:
923 - 928
ISBN-13:
978-88-89407-55-4
ISBN-10:
88-89407-55-7
Paper DOI:
10.5071/19thEUBCE2011-OA6.2
Price:
FREE
