globalchange  > 气候减缓与适应
DOI: 10.1016/j.watres.2018.01.036
Scopus记录号: 2-s2.0-85041417479
论文题名:
On the derivation of a simple dynamic model of anaerobic digestion including the evolution of hydrogen
作者: Giovannini G.; Sbarciog M.; Steyer J.-P.; Chamy R.; Vande Wouwer A.
刊名: Water Research
ISSN: 431354
出版年: 2018
卷: 134
起始页码: 209
结束页码: 225
语种: 英语
英文关键词: Mathematical modeling ; Parameter estimation ; Principal component analysis ; Sensitivity analysis
Scopus关键词: Dynamic models ; Hydrogen ; Mathematical models ; Parameter estimation ; Principal component analysis ; Process monitoring ; Sensitivity analysis ; Control strategies ; Data-driven approach ; Detailed modeling ; Evolution of hydrogens ; Key variables ; Monitoring and control ; Re identifications ; Wine processing ; Anaerobic digestion ; hydrogen ; hydrogen ; anaerobic digestion ; control system ; data set ; hydrogen ; monitoring ; numerical model ; parameter estimation ; principal component analysis ; reaction kinetics ; sensitivity analysis ; anaerobic digestion ; Article ; conceptual framework ; control strategy ; hydrogen evolution ; kinetic parameters ; model ; molecular dynamics ; monitoring ; priority journal ; simulation ; stoichiometry ; waste water management ; wine industry ; anaerobic growth ; bioreactor ; kinetics ; metabolism ; principal component analysis ; sewage ; theoretical model ; waste water ; wine ; Anaerobiosis ; Bioreactors ; Hydrogen ; Kinetics ; Models, Theoretical ; Principal Component Analysis ; Waste Disposal, Fluid ; Waste Water ; Wine
英文摘要: Hydrogen has been found to be an important intermediate during anaerobic digestion (AD) and a key variable for process monitoring as it gives valuable information about the stability of the reactor. However, simple dynamic models describing the evolution of hydrogen are not commonplace. In this work, such a dynamic model is derived using a systematic data driven-approach, which consists of a principal component analysis to deduce the dimension of the minimal reaction subspace explaining the data, followed by an identification of the kinetic parameters in the least-squares sense. The procedure requires the availability of informative data sets. When the available data does not fulfill this condition, the model can still be built from simulated data, obtained using a detailed model such as ADM1. This dynamic model could be exploited in monitoring and control applications after a re-identification of the parameters using actual process data. As an example, the model is used in the framework of a control strategy, and is also fitted to experimental data from raw industrial wine processing wastewater. © 2018 Elsevier Ltd
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/112899
Appears in Collections:气候减缓与适应

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作者单位: Service D'Automatique, Université de Mons, 31 Boulevard Dolez, Mons, 7000, Belgium; Escuela de Ingeniería Bioquímica, Pontificia Universidad Católica de Valparaíso, Av. Brasil 2085, Valparaíso, Chile; Laboratoire de Biotechnologie de L'Environnement, Narbonne, 11100, France

Recommended Citation:
Giovannini G.,Sbarciog M.,Steyer J.-P.,et al. On the derivation of a simple dynamic model of anaerobic digestion including the evolution of hydrogen[J]. Water Research,2018-01-01,134
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