会议专题

Organic Acid Prediction in Biogas Plants Using UV/vis Spectroscopic Online-Measurements

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 onlinemeasurement 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.

LDA GerDA SVM classification UV/vis spectroscopy organic acids online-measurement anaerobic digestion

Christian Wolf Daniel Gaida Andre Stuhlsatz Sean McLoone Michael Bongards

National University of Ireland Maynooth, Department of Electronic Engineering,Co.Kildare, Maynooth, Cologne University of Applied Sciences, Institute of Automation and Industrial IT,Steinmüllerallee 1 Dusseldorf University of Applied Sciences, Institute for Information Technology,Department of Mechan

国际会议

International Conference on Life System Modeling and Simulation,and International Conference on Intelligent Computing for Sustainable Energy and Environment(2010生命系统建模与仿真国际会议暨m2010可持续能源与环境智能计算国际会议)

无锡

英文

200-206

2010-09-17(万方平台首次上网日期,不代表论文的发表时间)