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Erschienen in:
2010 | OriginalPaper | Buchkapitel
Organic Acid Prediction in Biogas Plants Using UV/vis Spectroscopic Online-Measurements
verfasst von : Christian Wolf, Daniel Gaida, André Stuhlsatz, Seán McLoone, Michael Bongards
Erschienen in: Life System Modeling and Intelligent Computing
Verlag: Springer Berlin Heidelberg
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The concentration of organic acids in anaerobic digesters is one of the most critical parameters for monitoring and advanced control of anaerobic digestion processes, making a reliable online-measurement system absolutely necessary. This paper introduces a novel approach to obtaining these measurements indirectly and online using UV/vis spectroscopic probes, in conjunction with powerful pattern recognition methods. An UV/vis spectroscopic probe from S::CAN is used in combination with a custom-built dilution system to monitor the absorption of fully fermented sludge at a spectrum from 200nm to 750nm. Advanced pattern recognition methods, like LDA, Generalized Discriminant Analysis (GerDA) and SVM, are then used to map the measured absorption spectra to laboratory measurements of organic acid concentrations. The validation of the approach at a full-scale 1.3MW industrial biogas plant shows that more than 87% of the measured organic acid concentrations can be detected correctly.