Upscaling of an electronic nose for completely stirred tank reactor stability monitoring from pilot-scale to real-scale agricultural co-digestion biogas plant.

This study investigated the use of an electronic nose for on-line anaerobic reactor state monitoring at the pilot-scale level and then upscaling to the full-scale level. E-nose indicator was compared to classical state indicators such as pH, alkalinity, volatile fatty acids concentration and to other gas phase compounds. Multivariate statistical process control method, based on principal component analysis and the Hotelling's T(2) statistics was used to derive an indicator representative of the reactor state. At the pilot-scale level, the e-nose indicator was relevant and could distinguish 3 process states: steady-state, transient and collapsing process. At the full-scale level, the e-nose indicator could provide the warning of the major disturbance whereas two slight disturbances were not detected and it gave one major false alarm. This work showed that gas phase relation with anaerobic process should be deeper investigated, as an e-nose could indicate the reactor state, focusing on the gas phase.

[1]  A Nordberg,et al.  Monitoring of a biogas process using electronic gas sensors and near-infrared spectroscopy (NIR). , 2000, Water science and technology : a journal of the International Association on Water Pollution Research.

[2]  Anne-Claude Romain,et al.  Chemometrics methods for the identification and the monitoring of an odour in the environement with an electronic nose , 2001 .

[3]  Kim H. Esbensen,et al.  Monitoring of anaerobic digestion processes: A review perspective , 2011 .

[4]  Weihua Li,et al.  Recursive PCA for Adaptive Process Monitoring , 1999 .

[5]  Gunnar Lidén,et al.  Predicting Fermentability of Wood Hydrolyzates with Responses from Electronic Noses , 1999, Biotechnology progress.

[6]  B. Schink,et al.  Anaerobic digestion: concepts, limits and perspectives. , 2002, Water science and technology : a journal of the International Association on Water Pollution Research.

[7]  Carl-Fredrik Mandenius,et al.  Assessment of the Performance of a Fed‐Batch Cultivation from the Preculture Quality Using an Electronic Nose , 2002, Biotechnology progress.

[8]  Alisa Rudnitskaya,et al.  Sensor systems, electronic tongues and electronic noses, for the monitoring of biotechnological processes , 2008, Journal of Industrial Microbiology & Biotechnology.

[9]  H Spanjers,et al.  Implementation of in-line infrared monitor in full-scale anaerobic digestion process. , 2006, Water science and technology : a journal of the International Association on Water Pollution Research.

[10]  C. Mandenius,et al.  Monitoring growth of the methanogenic archaea Methanobacterium formicicum using an electronic nose , 2001, Biotechnology Letters.

[11]  M. C. Horrillo,et al.  Advances in artificial olfaction: sensors and applications. , 2014, Talanta.

[12]  Khalil Arshak,et al.  A review of gas sensors employed in electronic nose applications , 2004 .

[13]  Robert F. Hickey,et al.  Behavior of carbon monoxide as a trace component of anaerobic digester gases and methanogenesis from acetate , 1990 .

[14]  G. Korotcenkov,et al.  Instability of metal oxide-based conductometric gas sensors and approaches to stability improvement (short survey) , 2011 .

[15]  Robert F. Hickey,et al.  The effect of heavy metals on methane production and hydrogen and carbon monoxide levels during batch anaerobic sludge digestion , 1989 .

[16]  Andreas Gronauer,et al.  Transfer of a near infrared spectroscopy laboratory application to an online process analyser for in situ monitoring of anaerobic digestion. , 2013, Bioresource technology.

[17]  Zulfiqur Ali,et al.  Chemical Sensors for Electronic Nose Systems , 2005 .

[18]  M. S. Switzenbaum,et al.  THE RESPONSE AND UTILITY OF HYDROGEN AND CARBON MONOXIDE AS PROCESS INDICATORS OF ANAEROBIC DIGESTERS SUBJECT TO ORGANIC AND HYDRAULIC OBERLOADS , 1991 .

[19]  C F Mandenius Electronic noses for bioreactor monitoring. , 2000, Advances in biochemical engineering/biotechnology.

[20]  Anders Feilberg,et al.  Real time monitoring of a biogas digester with gas chromatography, near-infrared spectroscopy, and membrane-inlet mass spectrometry. , 2011, Bioresource technology.

[21]  Herman Van Langenhove,et al.  The emission of volatile compounds during the aerobic and the combined anaerobic/aerobic composting of biowaste , 1999 .

[22]  Richard Dinsdale,et al.  Integration of NIRS and PCA techniques for the process monitoring of a sewage sludge anaerobic digester. , 2013, Bioresource technology.

[23]  Carl-Fredrik Mandenius,et al.  Physiologically Motivated Monitoring of Fermentation Processes by Means of an Electronic Nose , 2001 .

[24]  H. Troy Nagle,et al.  Handbook of Machine Olfaction: Electronic Nose Technology , 2003 .

[25]  Anne-Claude Romain,et al.  Evaluation of an electronic nose for the early detection of organic overload of anaerobic digesters , 2012, Bioprocess and Biosystems Engineering.

[26]  John F. MacGregor STATISTICAL PROCESS CONTROL OF MULTIVARIATE PROCESSES , 1994 .

[27]  I. Lundström,et al.  On-line monitoring of a cultivation using an electronic nose , 1998 .

[28]  Theodora Kourti,et al.  Process analysis, monitoring and diagnosis, using multivariate projection methods , 1995 .

[29]  Saija Rasi,et al.  Trace compounds of biogas from different biogas production plants. , 2007 .