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Numerical Research on Biomass Gasification in a Quadruple Fluidized Bed Gasifier Yan, Linbo; Jia, Ziyue; Wang, Ziliang; He, Boshu; Fang, Baizeng

Abstract

Utilization of bioenergy with carbon capture can realize carbon-negative syngas production. The quadruple fluidized bed gasifier (QFBG) integrates a chemical looping oxygen generation process and a dual fluidized bed gasifier with limestone as bed material. It is one promising device that can convert biomass to H₂-rich syngas whilst capturing CO₂ with little energy penalty. However, experimental or numerical simulation of QFBG is rarely reported on due to its complex structure, hindering the further commercialization and deployment of QFBG. In this work, a new computational fluid dynamics (CFD) solver is proposed to predict the complex physicochemical processes in QFBG based on the multi-phase particle in cell (MPPIC) methodology with the assistance of the open source software, OpenFOAM. The solver is first validated against experimental data in terms of hydrodynamics and reaction kinetics. Then, the solver is used to investigate the QFBG property. It is found that the QFBG can operate stably. The cold gas efficiency, H₂ molar fraction, and CO₂ capture rate of the QFBG are predicted to be 87.2%, 93.3%, and 90.5%, respectively, which is promising. It is believed that the solver can give reliable predictions for similar fluidized bed reactors.

Item Metadata

Title
Numerical Research on Biomass Gasification in a Quadruple Fluidized Bed Gasifier
Creator
Yan, Linbo; Jia, Ziyue; Wang, Ziliang; He, Boshu; Fang, Baizeng
Publisher
Multidisciplinary Digital Publishing Institute
Date Issued
2022-11-28
Description
Utilization of bioenergy with carbon capture can realize carbon-negative syngas production. The quadruple fluidized bed gasifier (QFBG) integrates a chemical looping oxygen generation process and a dual fluidized bed gasifier with limestone as bed material. It is one promising device that can convert biomass to H₂-rich syngas whilst capturing CO₂ with little energy penalty. However, experimental or numerical simulation of QFBG is rarely reported on due to its complex structure, hindering the further commercialization and deployment of QFBG. In this work, a new computational fluid dynamics (CFD) solver is proposed to predict the complex physicochemical processes in QFBG based on the multi-phase particle in cell (MPPIC) methodology with the assistance of the open source software, OpenFOAM. The solver is first validated against experimental data in terms of hydrodynamics and reaction kinetics. Then, the solver is used to investigate the QFBG property. It is found that the QFBG can operate stably. The cold gas efficiency, H₂ molar fraction, and CO₂ capture rate of the QFBG are predicted to be 87.2%, 93.3%, and 90.5%, respectively, which is promising. It is believed that the solver can give reliable predictions for similar fluidized bed reactors.
Subject
biomass-steam gasification; quadruple fluidized bed gasifier (QFBG); carbon capture; chemical looping air separation; multi-phase particle in cell
Genre
Article
Type
Text
Language
eng
Date Available
2025-06-09
Provider
Vancouver : University of British Columbia Library
Rights
CC BY 4.0
DOI
10.14288/1.0449074
URI
http://hdl.handle.net/2429/91317
Affiliation
Applied Science, Faculty of; Non UBC; Chemical and Biological Engineering, Department of
Citation
Processes 10 (12): 2526 (2022)
Publisher DOI
10.3390/pr10122526
Peer Review Status
Reviewed
Scholarly Level
Faculty; Researcher
Rights URI
https://creativecommons.org/licenses/by/4.0/
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CC BY 4.0