Spatiotemporal analysis of aerosol dynamics in bismuth nucleation using multivariate Monte Carlo simulation

被引:0
作者
Shang, Cheng [1 ]
He, Song [1 ]
Xu, Zuwei [1 ]
Kruis, Frank Einar [2 ]
Zhao, Haibo [1 ]
机构
[1] Huazhong Univ Sci & Technol, Sch Energy & Power Engn, State Key Lab Coal Combust, 1037 Luoyu Rd, Wuhan 430074, Peoples R China
[2] Univ Duisburg Essen, Fac Engn Sci, Ctr Nanointegrat Duisburg Essen CENIDE, Bismarckstr 81, D-47057 Duisburg, Germany
基金
中国国家自然科学基金;
关键词
Population balance equation; Differentially weighted Monte Carlo; Multiple variables; Nucleation; Linear regression analysis; POPULATION BALANCE EQUATION; HOMOGENEOUS NUCLEATION; NANOPARTICLE SYNTHESIS; AGGREGATION; GROWTH; SOOT;
D O I
10.1016/j.ces.2024.120833
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Aerosol evolution is a sensitive process which strongly depends on the spatiotemporal environment, especially for the nucleation serving as the source term. Challenges and interests are rising when insights are needed to evaluate the dynamic events within the process. In our recent study, a multivariate population balance Monte Carlo (PBMC) simulation coupled with computational fluid dynamics (CFD) was verified with experimental results measured in the homogenous nucleation from bismuth vapor. Therefore, a further analyze relating the main mechanisms is established, which covers the nucleation, condensation, coagulation and wall deposition. The nucleation is found the most significant and great discrepancies in aerosol parameters are contributed by different theories. Competition of vapor consumption between the nucleation and condensation determines the concentration of primary particles and following aggregate growth. The coagulation dominates the evolution after the nucleation, while the radial migration leading to wall deposition helps in averaging the spatiotemporal aerosol concentration.
引用
收藏
页数:11
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