生物质多孔介质气体流动阻力特性实验研究与数值模拟

潘存华; 陈鑫科; 周福; 张科; 曹蓝田; 肖意; 方庆艳; 张成; 陈刚

doi:10.19666/j.rlfd.202505089

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生物质多孔介质气体流动阻力特性实验研究与数值模拟

Thermal Power Generation Vol. 55, Issue 3, Pages: 92-99(2026)

更新时间：2026-08-07

- 生物质多孔介质气体流动阻力特性实验研究与数值模拟
- 作者机构：
  
  1. 中国大唐集团科学技术研究总院有限公司华东电力试验研究院
  2. 华中科技大学煤燃烧与低碳利用全国重点实验室
- 作者简介：
- 基金信息：
- DOI：10.19666/j.rlfd.202505089
  CLC： TK6
- Published：2026
- 稿件说明：
移动端阅览
[1]潘存华,陈鑫科,周福,等.生物质多孔介质气体流动阻力特性实验研究与数值模拟[J].热力发电,2026,55(03):92-99.
[1]潘存华,陈鑫科,周福,等.生物质多孔介质气体流动阻力特性实验研究与数值模拟[J].热力发电,2026,55(03):92-99. DOI： 10.19666/j.rlfd.202505089.

DOI：10.19666/j.rlfd.202505089.

摘要

生物质多为杆状、片状，搭建了生物质多孔介质气体流动阻力特性测试平台，对不同堆积密度的稻草杆与大豆壳开展了气流阻力测试，对传统Ergun模型与修正Ergun模型进行参数优化。结果表明：流经生物质多孔介质的所受阻力随着堆积密度与气体流速增加而显著增加，其中阻力与流速之间整体呈现明显的向上抛物线关系；随着施加在生物质上的载荷由50 kg/m

至2 800 kg/m

，其堆积密度可增加约2倍，在生物质自热数值模拟中忽视堆积高度引起的堆积密度与孔隙度变化可导致预测偏差；Ergun模型与修正Ergun模型均可实现对典型片状或杆状生物质的气流阻力评估，修正Ergun模型凭借更少的参数和直接基于堆积密度的计算优势，显著提升了工程适用性。

Abstract

Biomass fuel is a renewable and clean energy source that can replace fossil fuels and reduce carbon emissions. However

during storage and transportation

microbial metabolism in biomass can cause self-heating

which

through the “chimney effect”

accelerates air circulation and promotes aerobic reactions

potentially leading to thermal runaway and fires. Given that biomass typically has rod-like and flake-like shapes

conventional porous media gas flow resistance models are poorly adapted for assessing these processes. In this study

a testing platform for the gas flow resistance characteristics of biomass porous media was established. Gas flow resistance tests were conducted on rice straws and soybean shells at different bulk densities. The parameters of the conventional Ergun model and the modified Ergun model were optimized. The results show that the r

esistance experienced by gas flowing through biomass porous media significantly increases with bulk density and gas velocity

exhibiting a pronounced upward parabolic relationship. As the load applied to the biomass increases from 50 kg/m

to 2 800 kg/m

its bulk density can increase by approximately two times. Ignoring the changes in bulk density and porosity caused by stacking height in biomass self-heating numerical simulations can lead to prediction deviations. Both the Ergun model and the modified Ergun model can be used to evaluate the gas flow resistance of typical flake-like or rod-like biomass. The modified Ergun model

with fewer parameters and direct calculation based on bulk density

significantly enhances engineering applicability.

关键词

Keywords

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