Numerical simulation of struvite crystallization in fluidized bed reactor. (2nd February 2018)

• Record Type: Journal Article
• Authors: Ye, Xin; Gao, Yongchuan; Cheng, Jingcai; Chu, Dongyuan; Ye, Zhi-Long; Chen, Shaohua
• Is Part Of: Chemical engineering science. Volume 176(2018)
• Page Start: 242
• Page End: 253
• Publication Date: 2018-02-02
• Subjects: Computational fluid dynamics -- Population balance equation -- Struvite crystallization -- Fluidized bed reactor; Chemical engineering -- Periodicals; Génie chimique -- Périodiques; Chemical engineering; Periodicals; Electronic journals; 660
• DOI: 10.1016/j.ces.2017.10.048
• Languages: English
• ISSNs: 0009-2509

Abstract

Graphical abstract: Highlights: A CFD-PBE model was established to describe the struvite crystallization. Thermodynamics, kinetics and hydrodynamics were incorporated in the model. Predicted supersaturation and crystal size were dependent on the operating conditions. Split inlet module was better in supersaturation control than the integrated module. The modeling framework was a promising tool in reactor design and process control. Abstract: A numerical model has been developed for struvite-crystallization in a fluidized bed reactor (FBR). For the first time, the flow field and crystal size distribution (CSD) are simultaneously obtained via solving the model that couples computational fluid dynamics (CFD) and population balance equation (PBE). The model was first verified based on the experimental data, and used to explore the influences of operating conditions and reactor geometry. The results showed that the predictions were in good agreement with the experimental observations, giving similar phosphorus removal trend. The predicted supersaturation levels, solid concentrations, and CSDs were found to be strongly dependent on the recycle ratio, pH, and inflow rate. Moreover, the split module was considered better as compared with the traditional integrated module in terms of the supersaturation control. The proposed CFD–PBE modeling framework is thus considered to be a useful tool for performance evaluation and geometry optimization of struvite crystallization.