生物质低温热解与氧化动力学特性研究

周福; 潘存华; 邓中乙; 张科; 陈鑫科; 方庆艳; 崔明硕; 张成; 陈刚

doi:10.19666/j.rlfd.202507110

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生物质低温热解与氧化动力学特性研究

更新时间：2026-06-12

- 生物质低温热解与氧化动力学特性研究
- Thermal Power Generation Vol. 55, Issue 4, Pages: 62-71(2026)
- 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. 中国大唐集团科学技术研究总院有限公司
  3. 华中科技大学能源与动力工程学院
- 作者简介：
- 基金信息：
- DOI：10.19666/j.rlfd.202507110
  CLC： TK6
- Published：2026
- 稿件说明：
移动端阅览
[1]周福,潘存华,邓中乙,等.生物质低温热解与氧化动力学特性研究[J].热力发电,2026,55(04):62-71.
[1]周福,潘存华,邓中乙,等.生物质低温热解与氧化动力学特性研究[J].热力发电,2026,55(04):62-71. DOI： 10.19666/j.rlfd.202507110.

DOI：10.19666/j.rlfd.202507110.

摘要

生物质在储存与运输过程中易发生自燃，传统生物质自燃研究中热重分析/量热实验常采用粉末状样品，这与生物质的实际储存状态存在较大差异。另外，现有的生物质反应动力学模型在250℃以下温度区间的适应性较差。基于此，搭建了生物质低温热解与氧化特性测试平台，在不同氧气气氛下对不同颗粒尺寸（原始大颗粒、2.0 mm颗粒以及0.2 mm颗粒）的稻草秆与大豆壳的热失重行为开展测试。构建了热解-组分独立氧化模型与热解-总包氧化模型，并进行了参数优化，实现了生物质在低温区间热解与氧化行为的准确预测。结果表明：生物质反应速率随温度升高显著提升，但当生物质消耗到一定程度后，升温对生物质反应速率的促进作用逐渐减弱。提高氧气含量可加快生物质的反应速率，但其对反应速度的促进作用弱于温度升高的影响；在相同温度和氧含量条件下，2.0 mm颗粒样品的反应速率最高，原始样品的反应速率最低，0.2 mm颗粒样品的反应速率介于两者之间；对原始颗粒尺寸的生物质样品开展实验并针对性地构建生物质自燃反应动力学模型更符合实际情况；该热解-总包氧化模型能较好地预测不同粒径的稻草秆和大豆壳在不同氧含量下随温度升高过程中质量损失规律，适用于低温区间生物质热解及氧化反应的预测。

Abstract

Biomass resources in China are widely distributed and highly abundant

holding great potential for substituting traditional fossil fuels and promoting the achievement of carbon peak and carbon neutrality goals. During storage and transportation

biomass is prone to self-heating. When the accumulated heat raises the internal temperature of biomass to a certain level

chemical reactions will gradually accelerate

leading to biomass selfignition. In traditional biomass self-ignition studies

thermogravimetric/calorimetric experiments typically employ powdered samples. However

this approach significantly deviates from the actual storage conditions of biomass. Moreover

existing biomass reaction kinetics models exhibit poor adaptability below 250 ℃. To address these issues

a testing platform for the low-temperature pyrolysis and oxidation characteristics of biomass was established. The thermal degradation behavior of rice straw and soybean shell samples with different particle sizes(original large particles

2.0 mm particles

and 0.2 mm particles) was investigated under various oxygen concentrations. Two kinetic models

namely the pyrolysis-independent component oxidation model and the pyrolysis-lumped oxidation model

were developed and optimized. These models accurately predicted the pyrolysis and oxidation behavior of biomass in the low-temperature range. The results indicated that the reaction rate increased significantly with temperature. However

as biomass consumption progressed

the promoting effect of temperature on the reaction rate gradually diminished. Increasing the oxygen concentration also accelerated the reaction rate

but its impact was weaker than that of temperature elevation. Under the same temperature and oxygen concentration conditions

the 2.0 mm particle samples exhibited the highest reaction rate

while the original samples had the lowest rate

with the 0.2 mm particle samples falling in between. Experiments on biomass samples with original particle sizes and the development of targeted kinetic models are more representative of real-world conditions. The pyrolysis-lumped oxidation model effectively predicted the mass loss behavior of rice straw and soybean shell samples with different particle sizes under various oxygen concentrations as the temperature increased

demonstrating its applicability for predicting low-temperature pyrolysis and oxidation reactions of biomass.

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