4.6 Article

Mixing evolution behavior of raw and gasified biomass pellets in a fluidized bed reactor

Journal

CHEMICAL ENGINEERING SCIENCE
Volume 264, Issue -, Pages -

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ces.2022.118161

Keywords

Biomass pellet; Gasification; Fluidized bed; Binary mixing evolution; Convolutional neural networks

Funding

  1. National Natural Science Foundation of China [52076044]
  2. German Research Foundation [392123414]

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This study investigates the mixing evolution behavior of biomass pellets at different gasification stages and determines the real-time distribution of particles through visualization experiments and image processing techniques. The migration paths of biomass pellets during gasification are revealed, and the improvement of binary mixing and adaptability to different biomass loadings are discussed.
Due to a large particle size and a small specific surface, a homogeneous mixing of biomass pellets with bed materials during gasification plays a critical role in the devolatilization and carbon conversion. In this work, the mixing evolution behavior of biomass pellets at different gasification stages is investigated for the first time. Two bubbling fluidized beds are established to perform the preparation of biomass samples undergoing different gasification times and visualized mixing experiments, respectively. An image processing technique is introduced for the determination of the real-time distribution of biomass pellets. The vertical and lateral migration paths of biomass pellets at different gasification stages are revealed. The improvement of binary mixing by adjusting the operating conditions as well as the adaptability to different biomass loadings are discussed. A convolutional neural network is developed to validate the influence of fluidization velocity on the resulting flow and classify the fluidization behavior. (C) 2022 Published by Elsevier Ltd.

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