首页|Introducing new monitoring indices from the headspace of biogas digester via e-nose: A case study
Introducing new monitoring indices from the headspace of biogas digester via e-nose: A case study
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NSTL
Elsevier
? 2022 Elsevier LtdThis 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.
Biogas digesterE-noseFood wasteMonitoring
Mohtasebi S.S.、Rafiee S.、Ghanavati H.、Khoshnevisan B.、Savand-Roumi E.
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Department of Agricultural Machinery Engineering Faculty of Agricultural Engineering and Technology University College of Agriculture and Natural Resources University of Tehran
Microbial Biotechnology Department Agricultural Biotechnology Research Institute of Iran (ABRII) Agricultural Research Extension and Education Organization (AREEO)
University of Southern Denmark Institute of Chemical Engineering Biotechnology and Environmental Technology
NSTL
Elsevier
