• 论文
主办单位:煤炭科学研究总院有限公司、中国煤炭学会学术期刊工作委员会
基于多过程模型融合的流化床配风解耦燃烧参数预测与优化
  • Title

    Prediction and optimization of decoupled combustion parameters in fluidizedbed air distribution based on multi-process model integration method

  • 作者

    狄子琛常成功杨凤玲吴海滨程芳琴

  • Author

    DI Zichen;CHANG Chenggong;YANG Fengling;WU Haibin;CHENG Fangqin

  • 单位

    山西大学 资源与环境工程研究所清华大学 环境学院

  • Organization
    Institute of Resources and Environment Engineering, Shanxi University
    School of Environment,Tsinghua University
  • 摘要

    循环流化床广泛应用于矸石、污泥等低品位燃料转化,近年来随着其用途和需求变化,进行了广泛的适应性改造,准确模拟和预测流化床炉内燃烧状况可为此提供基础支撑。针对当前流化床模型复杂,难以兼顾多参数精准预测问题,构建了基于热力学和动力学的流化床模型,计算了燃料变化对需氧量的影响以及空隙率和温度随床层高度的变化。通过构建热力学模型,预测了碳含量为74.05%、17.71%、24.27%、34.01%的4种煤矸石,理论需氧量分别为15.17、4.00、4.47、6.20kg/h。计算结果关联了燃料类型与理论需氧量,可辅助风机功率、风量等参数设计;通过串联10个RCSTR动力学模块嵌入动力学模型,实现不同床层的空隙率、温度、气体分布等关键参数计算,单点参数误差低于15%。多过程模型融合方法的建立可实现不同类型静态指标分类预测,为燃料变换时调控流化床进风量、一二次风风口位置等参数提供理论依据和设计参考。

  • Abstract

    Circulating fluidized bed (CFB) has been widely used for the conversion of low-grade fuels such as gangue and sludge. In re⁃cent years, with the changes in the applications and requirements, extensive adaptive modifications have been made to the CFB. Accuratesimulation and prediction of the combustion performance inside the fluidized bed can provide fundamental support for these modifications.A fluidized bed model based on thermodynamics and kinetics was constructed to address the complexity of current fluidized bed models andthe difficulty of accurately predicting multiple parameters. The influence of fuel variation on the oxygen demand, as well as the variation ofvoid fraction and temperature with bed height were calculated. By constructing the thermodynamic model, the theoretical oxygen demandsfor four types of coal gangue with carbon contents of 74.05%, 17.71%, 24.27% and 34.01% were predicted, with theoretical oxygen de⁃mand of 15.17, 4.00, 4.47 and 6.20 kg/ h, respectively. The calculated results were related to fuel type and theoretical oxygen demand,which can assist in the design of parameters such as fan power and air volume. Furthermore, by embedding 10 RCSTR dynamic modules inseries into the kinetic model, the key parameters, including void fraction, temperature, and gas distribution, for different bed layerswere calculated,with the single-point parameter error of less than 15%. The classification and prediction of different types of static indica⁃tors can be achieved by the establishment of a multi process model fusion method, providing theoretical basis and design references for reg⁃ulating parameters such as fluidized bed air flow rate and primary-secondary air inlet positions during fuel transformation.

  • 关键词

    AspenPlus循环流化床参数预测热力学动力学

  • KeyWords

    Aspen Plus; circulating fluidized bed; parameter prediction; thermodynamics;kinetics

  • 基金项目(Foundation)
    山西省科技战略研究专项资助项目(202204031401048);山西省基础研究计划资助项目(202103021223027);山西省留学人员科技活动择优资助项目(20220003)
  • 文章目录

    0 引言

    1 工艺设计

       1.1 CFB燃烧器的燃煤过程

       1.2 基于热力学方法的CFB燃烧室模拟

       1.3 基于动力学模型的循环流化床燃烧室模拟

    2 结果与讨论

       2.1 不同燃料燃烧的需氧量预测

       2.2 床层空隙率对碳流量的影响

       2.3 CFB温度随床层高度的变化

       2.4 CO和CO2摩尔分数随床层高度的变化

    3 结论

  • DOI
  • 引用格式
    狄子琛,常成功,杨凤玲,等.基于多过程模型融合的流化床配风解耦燃烧参数预测与优化[J].洁净煤技术,2023,29(8):95-101.
  • Citation
    DI Zichen,CHANG Chenggong,YANG Fengling,et al.Prediction and optimization of decoupled combustion parameters influidized bed air distribution based on multi-process model integration method[J].Clean Coal Technology,2023,29(8):95-101.
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