化工进展2024，Vol.43Issue(z1)：106-120,15.DOI:10.16085/j.issn.1000-6613.2024-0822
基于耦合数值仿真的基准工况下焚烧炉内颗粒物浓度建模与分析
Modeling and analysis of particulate matter concentration in incinerator under benchmark conditions based on coupled numerical simulation
摘要
Abstract
Particulate matter,a by-product of the municipal solid waste incineration(MSWI)process,can cause air pollution and contribute to haze formation.Exploring the formation mechanism of particulate matter in incinerators and the influencing factors from the generation source is very important for pollution reduction.In this article,the modeling and analysis of particle concentration in incinerator under benchmark conditions based on coupled numerical simulation was proposed.Firstly,the process flow for particulate matter generation was analyzed to determine the main factors affecting the concentration of particulate matter.Then,a numerical simulation model of particulate matter in incinerator coupled with fluid dynamic incinerator code(FLIC)and Fluent software was constructed for the real benchmark conditions.Then,the influence of the above main factors on the concentration of particulate matter was analyzed by single factor method.Finally,the optimal parameter combination of multiple factors(particle injecting velocityis 0.15m/s,60μm,wall-jet)was obtained based on orthogonal experiment and range analysis.The effectiveness of the proposed method was verified by the actual data provided by an MSWI plant in Beijing.The results indicated that when the particle size was between 35-55pm,the concentration of particulate matter gradually increased with the increase of particle size,which can provide data support for reducing the concentration of particulate matter from the perspective of process improvement and optimal control.关键词
城市固废焚烧/颗粒物浓度/耦合数值建模/单因素分析/正交实验/最优参数Key words
municipal solid waste incineration(MSWI)/particle concentration/coupled numerical modeling/univariate analysis/orthogonal experiment/optimal parameter分类
化学化工引用本文复制引用
梁永琪,汤健,夏恒,陈佳昆,乔俊飞..基于耦合数值仿真的基准工况下焚烧炉内颗粒物浓度建模与分析[J].化工进展,2024,43(z1):106-120,15.基金项目
国家自然科学基金(62073006) （62073006）
"新一代人工智能"重大项目(2021ZD0112302). （2021ZD0112302）
