1. 北京低碳清洁能源研究院,北京,102209
2. 圣泰(北京)软件科技有限公司,北京,100125
安海泉(1988-),男,内蒙古包头人,高级工程师,博士研究生,主要研究方向为煤化工智能化应用,E-mail:flyingsea@yeah.net
网络首发:2025-07-14,
纸质出版:2025
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安海泉,刘臻,田钫丞,刘浩田,李振. 基于国产流程模拟软件的气流床气化炉专业模型建模动力工程学报, 2025, 45(7): 977-984 https://doi.
org/10.19805/j.cnki.jcspe.2025.240310
安海泉,刘臻,田钫丞,刘浩田,李振. 基于国产流程模拟软件的气流床气化炉专业模型建模动力工程学报, 2025, 45(7): 977-984 https://doi. DOI: 10.19805/j.cnki.jcspe.2025.240310.
org/10.19805/j.cnki.jcspe.2025.240310 DOI:
以国产流程模拟软件Simtech Simulator为基础
集成了气流床气化炉的平衡模型、动力学模型和降阶模型
形成了一套气流床气化炉专业模型
并进行了实际工业气化炉的建模与验证。结果表明:建立的气化炉专业模型均能很好地预测空气产品(AP)水煤浆气流床气化炉的气化结果
其中动力学模型和降阶模型的预测精度较高
预测绝对误差小于0.5%
这表明所建立的模型具备较好的预测能力;该模型可用于研究气化温度、动力学参数等对气化结果的影响
并进行气化炉流场分析
为气化工艺的优化提供新的途径。
Based on the domestic process simulation software Simtech Simulator
the equilibrium model
the kinetic model and the reduced-order model of the entrained-flow gasifier were integrated to form a set of professional model of the entrained-flow gasifier
and the modeling and validation of the actual industrial gasifier were carried out. Results show that the established gasifier professional models can predict the gasification results of air production (AP) coal-water slurry fluid-bed gasifier well
among which the kinetic model and the reduced-order model have higher prediction accuracy
and the absolute prediction error is less than 0.5%
indicating that the established models have good prediction ability. At the same time
the models can also be used to study the influence of gasification temperature and kinetic parameters on the gasification results
and carry out the gasifier flow field analysis
which provides a new way for the optimization of the gasification process.
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