煤粉燃烧过程颗粒物群平衡–反应器网络耦合模型研究  

Coupling of Population Balance Model With Reactor Network in Pulverized Coal Combustion

作　　者：王可轩 黄骞 马鹏 杨远平 李水清[1] WANG Kexuan;HUANG Qian;MA Peng;YANG Yuanping;LI Shuiqing(Key Laboratory for Thermal Science and Power Engineering of Ministry of Education,Department of Energy and Power Engineering,Tsinghua University,Beijing 100084,China)

机构地区：[1]清华大学能源与动力工程系热科学与动力工程教育部重点实验室,北京100084

出　　处：《工程热物理学报》2024年第12期3899-3905,共7页Journal of Engineering Thermophysics

基　　金：国家自然科学基金(No.52006121);华能集团总部科技项目‘基础能源科技研究专项(三)’(No.HNKJ22-H105)。

摘　　要：煤粉燃烧过程的颗粒物生成机理复杂,且受流场影响显著,因此发展流场耦合的颗粒物生成模型对碳中和约束下火电机组灵活运行的颗粒物控制十分重要。本文提出了一种将描述颗粒物生成的群平衡模型框架与反应器网络模型耦合的建模方法,可在适宜的计算量下刻画流场特性对颗粒演化动力学的影响。针对用于研究煤粉燃烧颗粒物演化的多元扩散平焰燃烧器,本文建立了一维级联的多反应器网络模型,表明可通过模型参数的调节准确复现流场关键温度分布特性。进而验证了群平衡–反应器网络耦合模型对煤粉燃烧过程的细颗粒物粒径分布特性具有良好的预测能力。The generation mechanism of particles during pulverized coal combustion is complex and significantly influenced by the flow field.Therefore,developing a particle generation model coupled with the fow field is crucial for controlling particle emissions in the fexible operation of coal-fired power plants under carbon neutrality constraints.This article proposes a modeling approach that couples a group balance model framework for particle generation with a reactor network model,allowing for the characterization of the infuence of fow field characteristics on particle evolution kinetics with reasonable computational cost.For the study of particle evolution during pulverized coal combustion,a one-dimensional cascaded reactor network model is established,which accurately reproduces the key temperature distribution characteristics of the flow field through adjustment of model parameters.Furthermore,the coupling model of group balance and reactor network demon-strates good predictive capability for the particle size distribution characteristics of fine particles during coal combustion.

关 键 词：煤粉燃烧 颗粒物 群平衡模型 反应器网络模型 平焰燃烧器 

分 类 号：TK123[动力工程及工程热物理—工程热物理]