期刊
JOURNAL OF ANALYTICAL AND APPLIED PYROLYSIS
卷 154, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.jaap.2020.105011
关键词
Computational fluid dynamics (CFD); Bio-Oil; Fast pyrolysis; Spouted bed reactor
资金
- Iran's Ministry of Science, Research and Technology by Spain's ministries of Science, Innovation, and Universities (MCIU/AEI/FEDER, UE) [RTI2018-098283-J-I00, PID2019-107357RB-I00]
- European Union [823745]
- Basque Government [IT1218-19, KK-2020/00107]
This study applied a 2D Euler-Euler multiphase CFD model with the KTGF theory to describe biomass pyrolysis in a spouted bed reactor. By coupling a CFD hydrodynamic model with a pyrolysis kinetic model, the study successfully predicted biomass pyrolysis product yields, demonstrating the potential of CFD techniques for reactor design and optimization.
A 2D Euler-Euler multiphase computational fluid dynamics (CFD) model in conjunction with the kinetic theory of granular flow (KTGF) was applied to describe the biomass pyrolysis in a spouted bed reactor. The primary interest in this work was the development of a CFD hydrodynamic model of the reactor coupled with a pyrolysis kinetic model for the prediction of biomass pyrolysis product yields (gas, bio-oil, and char). The kinetic model is based on three parallel reactions for the formation of the pyrolysis products and a secondary reaction of gas formation from bio-oil. The CFD hydrodynamic model suitably predicts the behavior of the spouting regime, and its simultaneous resolution with the kinetic model leads to a satisfactory quantitative agreement between the predicted and experimental values for bio-oil and gas yields. This study is evidence of the great potential of CFD techniques for the design, optimization, and scale-up of conical spouted bed reactors.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据