Introducing new monitoring indices from the headspace of biogas digester via e-nose: A case study

Ehsan Savand-Roumi, Seyed Saeid Mohtasebi*, Shahin Rafiee, Hossein Ghanavati, Benyamin Khoshnevisan


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This study focused on the monitoring of a biogas digester (BD) for treatment of food waste using an e-nose system. The e-nose system along with Principal Component Analysis (PCA) were applied to monitor the gaseous headspace of a mesophilic BD. In this method the digester was allowed to feed based on monitoring indices, i.e. “recovery time” and “position of sensors”, using e-nose data analysis. The results showed that the digester can be kept under the steady-state condition and good performance during evaluation phase, as organic acids to total alkalinity (FOS/TAC) was 0.2–0.3, pH was stabilized near to 8, the mean of volatile solids reduction and the daily methane production rate were 82% and 1.24 Nm3/m3 d, respectively. This study presents a robust monitoring of BD based on an adaptable reference point and graphical monitoring on plots of PCA that make it more flexible than the classical parameter monitoring with determined threshold.

TidsskriftMeasurement: Journal of the International Measurement Confederation
Antal sider10
StatusUdgivet - 28. feb. 2022

Bibliografisk note

Funding Information:
This work was supported by the University of Tehran Science & Technology Park (Project No. 5884203). We would like to thank the University of Tehran, Agriculture Machinery Faculty.

Publisher Copyright:
© 2022 Elsevier Ltd


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