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Simulation of entrained flow gasification reactor with Multi Phase Particle in Cell (MP-PIC) approach

Ramesh Timsina
Department of Process, Energy and Environmental Technology, University of South-Eastern Norway, Porsgrunn

Rajan K. Thapa
Department of Process, Energy and Environmental Technology, University of South-Eastern Norway, Porsgrunn

Britt M. E. Moldestad
Department of Process, Energy and Environmental Technology, University of South-Eastern Norway, Porsgrunn

Marianne S. Eikeland
Department of Process, Energy and Environmental Technology, University of South-Eastern Norway, Porsgrunn

Ladda ner artikelhttps://doi.org/10.3384/ecp20176428

Ingår i: Proceedings of The 61st SIMS Conference on Simulation and Modelling SIMS 2020, September 22-24, Virtual Conference, Finland

Linköping Electronic Conference Proceedings 176:61, s. 428-434

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Publicerad: 2021-03-03

ISBN: 978-91-7929-731-2

ISSN: 1650-3686 (tryckt), 1650-3740 (online)

Abstract

Entrained flow gasification is a promising technology for conversion of biomass into valuable fuels and chemicals. Residues and byproduct formed during a gasification process possess a significant challenge prior to the production of synthetic fuel (biofuel). Present work focuses on the simulation of an entrained flow gasification reactor in Barracuda, which is based on the Computational Particle Fluid Dynamics (CPFD) modelling. The model is validated against experimental gas compositions reported in the literature. The model was used to study the flow behavior as well as the distribution of product gases and temperature inside the reactor. Simulations showed zones of high and low-temperature regions suggesting different reactions zones such as a partial combustion zone near a fuel injector followed by a gasification zone. The flow behavior inside the reactor shows zones of recirculation, spreading and the fast flowing zone. Results from the product gas distributions inside a reactor supports the reason behind the zones with different temperature.

Nyckelord

entrained flow, biomass gasification, CPFD, MP-PIC approach

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