Real time monitoring of a biogas digester with gas chromatography, near-infrared spectroscopy, and membrane-inlet mass spectrometry

Ward, Alastair James; Bruni, Emiliano; Lykkegaard, Morten K.; Feilberg, Anders; Adamsen, Anders Peter S.; Jensen, Anders Peter; Poulsen, Allan K.

doi:10.1016/j.biortech.2010.12.052

Cited by 73 publications

(69 citation statements)

References 27 publications

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“…However, the training data set to calculate the distance from the steady-state process must be carefully managed [11,30]. True performance of a gas sensor array for biogas process monitoring could only be estimated by extending the present work to conditions prevailing in real agricultural situations while comparing results with VFA monitoring in the liquid phase, the latter being a well accepted method for identifying organic overload state the anaerobic process [8,[37][38][39][40]. For future experiments, an automated e-nose system that acquires automatically the biogas sample and gives real-time monitoring on hourly basis of the bioreactor status should be evaluated, allowing process control and possibly some interventions on the bioreactors.…”

Section: Future Workmentioning

confidence: 99%

Evaluation of an electronic nose for the early detection of organic overload of anaerobic digesters

Adam

Lemaigre²,

Romain

et al. 2012

Bioprocess Biosyst Eng

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This study aimed at analysing the utilization of an electronic nose (e-nose) to serve as a specific monitoring tool for anaerobic digestion process, especially for detecting organic overload. An array of non specific metal oxide semiconductor gas sensors were used to detect process faults due to organic overload events in twelve 1.8-L anaerobic semi-continuous reactors. Three different load strategies were followed: (1) a cautious organic load (1.3 gVS L -1 day -1 ); (2) an increasing load strategy (1.3-5.3 gVS L -1 day -1 ) and (3) a cautious organic load with load pulses of up to 12 gVS L -1 day -1 . A first monitoring campaign was conducted with three different substrates: sucrose, maize oil and a mix of sucrose/oil during 60 days. The second campaign was run with dry sugar beet pulp for 45 days. Hotelling's T 2 value and upper control limit to a reference set of digesters fed with a cautious OLR (1.3 gVS L -1 day -1 ) was used as indirect state variable of the reactors. Overload situations were identified by the e-nose apparatus with Hotelling's T 2 values at least four times higher in magnitude than the upper control limit of 23.7. These results confirmed that the e-nose technology appeared promising for online detection of process imbalances in the domain of anaerobic digestion.

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Section: Future Workmentioning

confidence: 99%

Evaluation of an electronic nose for the early detection of organic overload of anaerobic digesters

Adam

Lemaigre²,

Romain

et al. 2012

Bioprocess Biosyst Eng

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“…Furthermore, combination of pH and ORP also reflects fermentation pathway which links to methanogenesis efficiency (Ren et al, 2002). Spectroscopy has more application in monitoring parameters of gas phase than liquid phase, i.e., near-infrared (NIR) for gas components (Ward et al, 2011), but is limited by sensitivity in biogas monitoring. Recent progress in accuracy of biogas flow rate monitoring made it very attractive approach for gas-phase online monitoring.…”

mentioning

confidence: 99%

“…Lots of methods have been developed for online monitoring of parameters in both the liquid and gas phases of AD, including chromatography (Lenz et al, 2011;Ward et al, 2011), pH titration (Lutzhoft et al, 2014), fuel cell (Liu et al, 2011), and spectroscopy (Ward et al, 2011), but their applications are limited in practice owing to robustness and accuracy. For example, gas chromatography is the most accurate method for volatile fatty acids (VFAs) monitoring in liquid phase, but pretreatment of liquid samples is great challenge due to complexity of AD slurry (Lenz et al, 2011;Ward et al, 2011). Titration could be directly applied in monitoring total VFAs of the AD slurry, but its accuracy is limited by variation of pH buffer capacity (Lutzhoft et al, 2014).…”

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confidence: 99%

Biogas-pH automation control strategy for optimizing organic loading rate of anaerobic membrane bioreactor treating high COD wastewater

Liu

Sui

et al. 2016

Bioresource Technology

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“…Para mensurar a evolução do processo, algumas variáveis deverão ser monitoradas ou controladas (WARD et al, 2011;GASCH et al, 2013 …”

Section: Introductionunclassified

Balanço de massa no tratamento de resíduos sólidos orgânicos provenientes de restaurantes em biorreator

Neto

Silva²,

Pinheiro³

2017

Eng. Sanit. Ambient.

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RESUMOO tratamento de resíduos sólidos orgânicos por digestão anaeróbia é realizado por um consórcio de micro-organismos, no qual as archaea metanogênicas são as limitantes do processo, por serem mais sensíveis às mudanças nas condições do meio e possuírem crescimento lento. Para acompanhar a evolução do tratamento, algumas variáveis do processo de digestão anaeróbia são monitoradas, dentre elas, a demanda química de oxigênio (DQO), geralmente utilizada para estimar a matéria degradável e passível de ser convertida em biogás. Com o objetivo de avaliar a eficiência do processo To monitor the treatment, some variables of anaerobic digester process are monitored, among them, the chemical oxygen demand (COD), usually used to estimate the degradable material and that can be converted into biogas. In order to evaluate the efficiency of biomass conversion process into methane, this article is based on adapted mass balance of the literature using COD values and volume of biogas generated in anaerobic reactor, here called the bioreactor. Biogas production was monitored daily using the water displacement method, with the aid of an electronic counter.The treatment was satisfactory, based on mass balance, which showed that 50% of the amount of COD entered into the system was completely converted into methane gas. Comparing to the values described in the literature that are in the range of 50 to 70%, the treatment efficiency can be elevated with adjustments to control parameters which influence the process of anaerobic digestion, such as keep the temperature constant at 37°C and balanced pH and alkalinity, which can improve the environmental conditions at all stages of degradation of organic matter and increase conversion into methane gas.

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Real time monitoring of a biogas digester with gas chromatography, near-infrared spectroscopy, and membrane-inlet mass spectrometry

Cited by 73 publications

References 27 publications

Evaluation of an electronic nose for the early detection of organic overload of anaerobic digesters

Evaluation of an electronic nose for the early detection of organic overload of anaerobic digesters

Biogas-pH automation control strategy for optimizing organic loading rate of anaerobic membrane bioreactor treating high COD wastewater

Balanço de massa no tratamento de resíduos sólidos orgânicos provenientes de restaurantes em biorreator

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