Numerical simulation of gas-solid flow characteristics in poly-generation bubbling fluidized bed

WANG Hao; LUO Zhongyang; FANG Mengxiang; WANG Qinhui; CEN Jianmeng

doi:10.19666/j.rlfd.202202052

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Numerical simulation of gas-solid flow characteristics in poly-generation bubbling fluidized bed

更新时间：2025-09-28

- Numerical simulation of gas-solid flow characteristics in poly-generation bubbling fluidized bed
- Thermal Power Generation Vol. 51, Issue 8, Pages: 116-123(2022)
- 作者机构：
  
  浙江大学能源清洁利用国家重点实验室
- 作者简介：
- 基金信息：
- DOI：10.19666/j.rlfd.202202052
  CLC： TK229.66
- Published：2022
- 稿件说明：
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WANG Hao, LUO Zhongyang, FANG Mengxiang, et al. Numerical simulation of gas-solid flow characteristics in poly-generation bubbling fluidized bed[J]. Thermal power generation, 2022, 51(8): 116-123.
DOI：

WANG Hao, LUO Zhongyang, FANG Mengxiang, et al. Numerical simulation of gas-solid flow characteristics in poly-generation bubbling fluidized bed[J]. Thermal power generation, 2022, 51(8): 116-123. DOI： 10.19666/j.rlfd.202202052.

摘要

为了深入探究流化床内的气固流动规律，以浙江大学1 MW循环流化床热电气多联产试验台为研究对象，使用开源软件MFi X对多联产系统热解炉在不同热解温度（500、600、700℃）时稳态的气体组分分布和炉内固体颗粒相体积分数的变化规律进行了数值模拟。模拟过程使用计算流体力学中被广泛应用于流化床数值模拟的欧拉双流体模型和Gidaspow曳力模型，采用Fortran语言编写热解反应子程序，基于OpenMpI技术实现了三维流化床热解炉的并行化模拟。结果表明：数值模拟结果能准确预测稳态运行时炉膛出口的气体组成以及炉内轴向固相体积分数呈近“S”型分布的环-核结构现象。

Abstract

In order to deeply understand the law of gas-solid flow in fluidized bedboiler

by taking the 1 MW circulating fluidized bed heat-electricity-gas poly-generation test bench in Zhejiang University as the research object

the open source software MFiX was used to simulate the gas components distribution and solid phase volume fraction at different pyrolysis temperatures(500/600/700 ℃). The simulation process was carried out by adopting Eulerian two-fluid model and Gidaspow drag model

which was widely used in numerical simulation of fluidized bed in computational fluid dynamics. The pyrolysis reaction subroutine was written in FORTRAN and the parallel simulation of three-dimensional model was realized based on OpenMpI technology. The results show that

the numerical simulation results can accurately predict the gas composition at furnace outlet. Moreover

a core-annulus structure(nearly ‘S' distribution) of axial solid volume fraction was also found in the furnace.

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