Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 423723
Title Prediction of trace compounds in biogas from anaerobic digestion using the MATLAB Neural Network Toolbox
Author(s) Strik, D.P.B.T.B.; Domnanovich, A.M.; Zani, L.; Braun, R.; Holubar, P.
Source Environmental Modelling & Software 20 (2005)6. - ISSN 1364-8152 - p. 803 - 810.
DOI http://dx.doi.org/10.1016/j.envsoft.2004.09.006
Department(s) Sub-department of Environmental Technology
WIMEK
Publication type Refereed Article in a scientific journal
Publication year 2005
Keyword(s) model no. 1 - reactor
Abstract The outlook to apply the highly energetic biogas from anaerobic digestion into fuel cells will result in a significantly higher electrical efficiency and can contribute to an increase of renewable energy production. The practical bottleneck is the fuel cell poisoning caused by several gaseous trace compounds like hydrogen sulfide and ammonia. Hence artificial neural networks were developed to predict these trace compounds. The experiments concluded that ammonia in biogas can indeed be present up to 93 ppm. Hydrogen sulfide and ammonia concentrations in biogas were modelled successfully using the MATLAB Neural Network Toolbox. A script was developed which made it easy to search for the best neural network models' input/output-parameters, settings and architectures. The models were predicting the trace compounds, even under dynamical conditions. The resulted determination coefficients (R2) were for hydrogen sulfide 0.91 and ammonia 0.83. Several model predictive control tool strategies were introduced which showed the potential to foresee, control, reduce or even avoid the presence of the trace compounds.
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