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13 - Electrical and Electronic Engineering, Metallurgy and Materials
Queen's University Belfast
Predicting organic acid concentration from UV/vis spectro measurements - a comparison of machine learning techniques
The paper describes research on an innovative new machine learning enabled approach to online indirect measurement of organic acid concentration in biogas plants using UV/vis spectroscopic probes. The research, undertaken in collaboration with the Gummersbach Environmental Computing Centre (GECO-C), University of Applied Sciences Cologne, for the first time makes online measurement of volatile fatty acids affordably available to small-to-medium scale biogas plants. The availability of VFA measurements greatly enhances process monitoring and affords new opportunities for biogas process control and optimisation. The proposed measurement system is currently being piloted at a bio-waste biogas plant in Northwest Germany.