A hybrid intelligent model to predict the hydrogen concentration in the producer gas from a downdraft gasifier

نویسندگان

چکیده

This research work presents an artificial intelligence approach to predicting the hydrogen concentration in producer gas from biomass gasification. An experimental gasification plant consisting of air-blown downdraft fixed-bed gasifier fueled with exhausted olive pomace pellets and a conditioning unit was used collect whole dataset. During extensive campaign, volumetric composition measured recorded portable syngas analyzer at constant time step 10 seconds. The resulting dataset comprises nearly 75 hours operation total. A hybrid intelligent model developed aim performing fault detection measuring still provide reliable values event malfunction. best six local internal submodels that combine neural networks support vector machines for regression. results are remarkably satisfactory, mean absolute prediction error only 0.134% by volume. Accordingly, could be as virtual sensor or even avoid need real is specific gas.

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ژورنال

عنوان ژورنال: International Journal of Hydrogen Energy

سال: 2022

ISSN: ['0360-3199', '1879-3487']

DOI: https://doi.org/10.1016/j.ijhydene.2022.04.174