首页|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

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

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城市固废焚烧(municipal solid waste incineration,MSWI)过程产生的副产品颗粒物会造成大气污染和促使雾霾形成,从生成根源上探究其在焚烧炉内的形成机制与影响因素对降污减排极为关键。本文提出了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。首先,进行面向颗粒物生成的工艺流程分析以确定影响颗粒物浓度的多个主要因素;其次,面向真实基准工况构建輕合流体动力焚烧炉代码(fluid dynamic incinerator code,FLIC)与Fluent软件的炉内颗粒物数值仿真模型;然后,利用单因素法分析上述主要因素对颗粒物浓度的影响;最后,基于正交实验和极差分析获取多个因素的最佳参数组合(颗粒喷射速度0。15m/s,60μm,射流)。采用北京某MSWI厂提供的实际数据验证了所提方法的有效性,结果表明在颗粒粒径为35~55μm之间时,颗粒物浓度随颗粒粒径的增大而逐渐增大,该结果能够为从工艺改进和优化控制的角度降低颗粒物浓度提供数据支撑。
Modeling and analysis of particulate matter concentration in incinerator under benchmark conditions based on coupled numerical simulation
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.

municipal solid waste incineration(MSWI)particle concentrationcoupled numerical modelingunivariate analysisorthogonal experimentoptimal parameter

梁永琪、汤健、夏恒、陈佳昆、乔俊飞

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北京工业大学信息学部,北京 100124

智慧环保北京实验室,北京 100124

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

2024

化工进展
中国化工学会,化学工业出版社

化工进展

CSTPCD北大核心
影响因子:1.062
ISSN:1000-6613
年,卷(期):2024.43(z1)