Janitha C. Bandara
Process Energy and Environmental Technology, University College of Southeast Norway, Norway
Rajan K. Thapa
Process Energy and Environmental Technology, University College of Southeast Norway, Norway
Britt M.E. Moldestad
Process Energy and Environmental Technology, University College of Southeast Norway, Norway
Marianne S. Eikeland
Process Energy and Environmental Technology, University College of Southeast Norway, Norway
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http://dx.doi.org/10.3384/ecp17142991Published in: Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016
Linköping Electronic Conference Proceedings 142:146, p. 991-997
Published: 2018-12-19
ISBN: 978-91-7685-399-3
ISSN: 1650-3686 (print), 1650-3740 (online)
Fluidization technology is widely used in solid processing industry due to the high efficiency, high heat and mass transfer rate and uniform operating conditions throughout the reactor. Biomass gasification is an emerging renewable energy technology where fluidized bed reactors are more popular compared to fixed bed reactor systems due to their scalability to deliver high throughput. Fluidization of large biomass particles is difficult, and the process is therefore assisted by a bed material with higher density. The combination of different types of particles makes it challenging to predict the fluid-dynamic behavior in the reactor. Computational particle fluid dynamics simulations using the commercial software Barracuda VR were performed to study the fluidization properties for a mixture of particles with different density and size. The density ratio for the two types of particles was six, which is the typical ratio for bed material to biomass in a gasifier. The results from simulations with Barracuda VR regarding bed pressure drop and the minimum fluidization velocity, show good agreement with available experimental data. The deviation between experimental data and simulations are less than 12%. Particle segregation was clearly observed both in the simulations and in the experimental study.
fluidization, particle density and size, pressure drop, minimum fluidization velocity, drag models, computational particle fluid dynamics