A web-enabled software for real-time biogas fermentation monitoring – Assessment of dark fermentations for correlations between medium conductivity and biohydrogen evolution
作者： E.B. Gueguim Kana , Stefan Schmidt , R.H. Azanfack Kenfack
DOI: 10.1016/J.IJHYDENE.2013.06.019
关键词: Dark fermentation 、 Gompertz function 、 Process engineering 、 Biohydrogen 、 Conductivity 、 Carbon dioxide 、 Environmental science 、 Hydrogen 、 Fermentation 、 Biogas
摘要: Abstract A web-enabled software was developed for continuous online monitoring of biohydrogen, biomethane and carbon dioxide gas fractions, temperature, Dissolved Oxygen (DO), pH, conductivity volume biogas fermentations. The cumulative volumes are computed recursively at 1 min intervals. Process data streamed into a MySQL database accessible on Local Area Network in real-time. This evaluated via two batches dark fermentations biohydrogen production using anaerobic sludge as inoculum glucose substrate. effect sampling frequency the accuracy hydrogen determination possible correlations between medium evolution were examined. Data showed an erroneous over estimation 12.09% 16.23% 12 24 h intervals, suggesting adoption high rate to derive reliable key process parameters from Gompertz model. Partial observed fractions with maximum changes 5.0 21.1 S × cm −1 , corresponding peaks concentrations 33.53% 44.86%, respectively. Accurate application conductimetric techniques real-time requires further understanding all sources changes. implemented could generate throughput actionable information development optimization.
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