Evaluating an e-nose ability to detect biogas plant efficiency: a case study
The demand for online monitoring and control of biogas process is increasing, since better monitoring and control system can improve process plants stability and economy. A number of parameters in both the liquid and the gas phase have been suggested as process indicators (pH, alkalinity, VFA and H2...
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doaj-e2c0b70c27694d5fa64c78bb91b821b02020-11-25T01:29:03ZengTaylor & Francis GroupItalian Journal of Animal Science1828-051X2016-01-0115111612310.1080/1828051X.2016.11479301147930Evaluating an e-nose ability to detect biogas plant efficiency: a case studyAnnamaria Costa0Francesco Maria Tangorra1Mauro Zaninelli2Roberto Oberti3Antoniotto Guidobono Cavalchini4Giovanni Savoini5Massimo Lazzari6la produzione animale e la sicurezza alimentare, University of Milanola produzione animale e la sicurezza alimentare, University of MilanoUniversità Telematica San RaffaeleUniversity of Milanola produzione animale e la sicurezza alimentare, University of Milanola produzione animale e la sicurezza alimentare, University of Milanola produzione animale e la sicurezza alimentare, University of MilanoThe demand for online monitoring and control of biogas process is increasing, since better monitoring and control system can improve process plants stability and economy. A number of parameters in both the liquid and the gas phase have been suggested as process indicators (pH, alkalinity, VFA and H2, redox potential, biogas production rate, biogas composition, FOS/TAC ratio, COD and/or VS reduction). The present study proposes the use of complex sensors as a possible solution to engineer a consistent control system. Tests were performed to analyze the biogas coming from a biogas plant in which conditions of pre-overloading and overloading were artificially inducted. The different inducted functioning conditions were recognised using a FOS/TAC tester, or the ratio volatile organic acids/alkaline buffer capacity. The FOS/TAC ratio has long been recognized extending as far as the imminent inversion of the digester biology to be detected at an early stage. Data coming from the e-nose were sorted and classified according to FOS/TAC ratio as a reference method. Not all the sensors of the e-nose were reactive to manure digestates, but four of them, sensitive to aromatic compounds, ammonia alkanes and methane, resulted crucial in the samples identification. Results confirmed that the e-nose can discriminate different digestion conditions, demonstrating the possibility to reduce the number of sensors in this innovative tool for biogas control systems. However, this instrument cannot be considered a complete alternative to traditional analysis systems, as, for example, the FOS/TAC titration, but a supporting tool for a quick analysis of the system.http://dx.doi.org/10.1080/1828051X.2016.1147930Digestatese-noseoverloadingsensors of the e-nose |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Annamaria Costa Francesco Maria Tangorra Mauro Zaninelli Roberto Oberti Antoniotto Guidobono Cavalchini Giovanni Savoini Massimo Lazzari |
spellingShingle |
Annamaria Costa Francesco Maria Tangorra Mauro Zaninelli Roberto Oberti Antoniotto Guidobono Cavalchini Giovanni Savoini Massimo Lazzari Evaluating an e-nose ability to detect biogas plant efficiency: a case study Italian Journal of Animal Science Digestates e-nose overloading sensors of the e-nose |
author_facet |
Annamaria Costa Francesco Maria Tangorra Mauro Zaninelli Roberto Oberti Antoniotto Guidobono Cavalchini Giovanni Savoini Massimo Lazzari |
author_sort |
Annamaria Costa |
title |
Evaluating an e-nose ability to detect biogas plant efficiency: a case study |
title_short |
Evaluating an e-nose ability to detect biogas plant efficiency: a case study |
title_full |
Evaluating an e-nose ability to detect biogas plant efficiency: a case study |
title_fullStr |
Evaluating an e-nose ability to detect biogas plant efficiency: a case study |
title_full_unstemmed |
Evaluating an e-nose ability to detect biogas plant efficiency: a case study |
title_sort |
evaluating an e-nose ability to detect biogas plant efficiency: a case study |
publisher |
Taylor & Francis Group |
series |
Italian Journal of Animal Science |
issn |
1828-051X |
publishDate |
2016-01-01 |
description |
The demand for online monitoring and control of biogas process is increasing, since better monitoring and control system can improve process plants stability and economy. A number of parameters in both the liquid and the gas phase have been suggested as process indicators (pH, alkalinity, VFA and H2, redox potential, biogas production rate, biogas composition, FOS/TAC ratio, COD and/or VS reduction). The present study proposes the use of complex sensors as a possible solution to engineer a consistent control system. Tests were performed to analyze the biogas coming from a biogas plant in which conditions of pre-overloading and overloading were artificially inducted. The different inducted functioning conditions were recognised using a FOS/TAC tester, or the ratio volatile organic acids/alkaline buffer capacity. The FOS/TAC ratio has long been recognized extending as far as the imminent inversion of the digester biology to be detected at an early stage. Data coming from the e-nose were sorted and classified according to FOS/TAC ratio as a reference method. Not all the sensors of the e-nose were reactive to manure digestates, but four of them, sensitive to aromatic compounds, ammonia alkanes and methane, resulted crucial in the samples identification. Results confirmed that the e-nose can discriminate different digestion conditions, demonstrating the possibility to reduce the number of sensors in this innovative tool for biogas control systems. However, this instrument cannot be considered a complete alternative to traditional analysis systems, as, for example, the FOS/TAC titration, but a supporting tool for a quick analysis of the system. |
topic |
Digestates e-nose overloading sensors of the e-nose |
url |
http://dx.doi.org/10.1080/1828051X.2016.1147930 |
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