Simulative prediction of ultrafine particulate matter formation by means of different pyrolysis models
Simulative prediction of ultrafine particulate matter formation by means of different pyrolysis models
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DOI：
10.1016/j.fuel.2019.116865
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发表时间：
2020-04
期刊：
影响因子：
7.4
通讯作者：
C. Axt;S. Pielsticker;Thobias Kreitzberg-;O. Hatzfeld;Qirui Gao;Shuiqing Li;R. Kneer
中科院分区：
文献类型：
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作者：
C. Axt;S. Pielsticker;Thobias Kreitzberg-;O. Hatzfeld;Qirui Gao;Shuiqing Li;R. Kneer
本文研究了两种不同热解模型对无机超细颗粒物（PM）生成模拟预测的敏感性。考虑到PM的形成，体积守恒的离散截面人口平衡模型（PBM）。挥发物释放是PBM的输入参数，因此影响计算的PM形成。作为经验热解模型的代表，傅-张模型（FZM）被使用。相比之下，化学逾渗脱挥发分模型（CPD）被认为是复杂的热解网络模型的代表。后者考虑了燃料成分、加热速率和颗粒温度的影响。由于中国准东褐煤挥发分含量较高，有利于颗粒物的形成，因此，本文对中国准东褐煤（dp = 65-74 μ m）的热解模型影响进行了评价。为了研究粒子加热速率对模型的影响，考虑了两种不同的气体温度（1200 K和1500 K，用能量平衡法计算的分别为5.28 × 104 Ks-1和7.51× 104 Ks-1）。此外，这些条件被选择，因为从以前的研究中的PM颗粒尺寸分布（PSD）的实验数据是可用的。PSD的建模和验证与现有的实验PSD数据。这些实验数据是在Hencken燃烧器的研究中获得的。两种模型（FZM和CPD）的结果在预测PSD方面显示出明显的差异。研究表明，CPD模型显著改善了超细颗粒形成的预测。
In this study, the sensitivity of two different pyrolysis models on the simulative prediction of inorganic ultrafine Particulate Matter (PM) formation is investigated. For consideration of PM formation, the volume-conserved discrete-sectional Population Balance Model (PBM) is used. The volatile release is an input parameter of the PBM and thus influences the calculated PM formation. As a representative of an empirical pyrolysis model, the Fu-Zhang model (FZM) is used. In comparison, the Chemical Percolation Devolatilization model (CPD) is taken as a representative for sophisticated pyrolysis network models. The latter takes influences of fuel composition, heating rate and particle temperature into account. The evaluation of the pyrolysis model impact is determined for a pulverized (d p= 65–74 μ m) Chinese lignite (Zhundong) since this fuel has a relatively high volatile content and thus favors the formation of particulate matter. To investigate the influence of particle heating rate in the models, two different gas temperatures (1200 K and 1500 K, respectively 5.28· 10 4 K s− 1 and 7.51× 10 4 K s− 1 calculated with the energy balance) are considered. Furthermore, these conditions are selected because experimental data of the PM particle size distribution (PSD) from previous studies are available. The modeling of PSD is performed and validated with the existing experimental PSD data. These experimental data were achieved in investigations with a Hencken burner. The results of the two models (FZM and CPD) show recognizable differences in predicting the PSD. This study indicates that the CPD model improves significantly the prediction of ultrafine PM formation.