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An in-house built code incorporated into CFD model for the simulation of boiler's convection section
Fuel Processing Technology ( IF 7.5 ) Pub Date : 2020-06-01 , DOI: 10.1016/j.fuproc.2019.106333
Panagiotis Drosatos , Nikolaos Nikolopoulos , Emmanouil Kakaras

Abstract This work presents an in-house built code and its incorporation into an ANSYS Fluent® Computational Fluid Dynamics (CFD) model for the simulation of the convection section of a boiler without needing numerous thermodynamic or experimental data, sophisticated numerical grids or assumptions that decrease the validity of the model. This model has been applied in a recently retrofitted lignite-fired boiler's convection section. Due to the lack of experimental data after the retrofit, the investigation follows a parametric approach, assuming three different distributions of the ash fouling thickness. The three distributions have been suitably selected to fit the CFD results of the in-house built model in the full-load case with: 1) the CFD results using the Macro Heat Exchanger Model provided by ANSYS Fluent®, 2) the results of an ASPEN Plus® process model and 3) experimental data before the retrofit actions. The only necessary input data for the in-house built code are the inlet temperature, the average pressure and the mass flow rate of the working medium for each heat exchanger. Based on the results, it can be concluded that the in-house built model is robust, consistent and validated for the simulation of a boiler's convection section.

中文翻译:

内部构建的代码并入 CFD 模型,用于模拟锅炉对流部分

摘要 这项工作提出了一个内部构建的代码并将其合并到 ANSYS Fluent® 计算流体动力学 (CFD) 模型中,用于模拟锅炉的对流部分,而无需大量热力学或实验数据、复杂的数值网格或假设模型的有效性。该模型已应用于最近改造的褐煤锅炉的对流部分。由于改造后缺乏实验数据,调查采用参数化方法,假设灰垢厚度的三种不同分布。The three distributions have been suitably selected to fit the CFD results of the in-house built model in the full-load case with: 1) the CFD results using the Macro Heat Exchanger Model provided by ANSYS Fluent®, 2) ASPEN Plus® 过程模型的结果和 3) 改造前的实验数据。内部构建代码的唯一必要输入数据是每个换热器的入口温度、平均压力和工作介质的质量流量。基于这些结果,可以得出结论,内部构建的模型对于锅炉对流部分的模拟是稳健、一致和经过验证的。
更新日期:2020-06-01
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