A sliding-window based signal processing method for characterizing particle clusters in gas-solids high-density CFB reactor

被引：4

作者：

Wang, Chengxiu ^{[1
]}

Luo, Mengjie ^{[1
]}

Su, Xin ^{[1
]}

Lan, Xingying ^{[1
]}

Sun, Zeneng ^{[2
]}

Gao, Jinsen ^{[1
]}

Ye, Mao ^{[3
]}

Zhu, Jesse ^{[2
]}

机构：

[1] China Univ Petr, State Key Lab Heavy Oil Proc, Beijing 102249, Peoples R China

[2] Univ Western Ontario, Dept Chem & Biochem Engn, London, ON N6A 5B9, Canada

[3] Chinese Acad Sci, Dalian Inst Chem Phys, 457 Zhongshan Rd, Dalian 116023, Peoples R China

来源：

CHEMICAL ENGINEERING JOURNAL | 2023年 / 452卷

基金：

美国国家科学基金会;

关键词：

High-density; Circulating fluidized bed; Sliding window algorithm; Cluster; Signal processing; FLOW STRUCTURE; RISER; FLUX; DYNAMICS; VELOCITY; HYDRODYNAMICS; BEHAVIOR; HOLDUP;

D O I：

10.1016/j.cej.2022.139141

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Particle clusters in CFB risers were identified from the instantaneous solids holdup signals by a new sliding -window based signal processing method. By shifting the time window and calculating the mean and the stan-dard deviation within it, a non-linear threshold curve for identifying the clusters was derived instead of the conventional constant threshold. The optimal sliding window size was determined as Wb = 1024 data points by the bisection method on the entire piece of signals. Using the proposed method, a more realistic characterization of the particle clusters in both HDCFB and LDCFB was obtained by considering the bulk fluctuation of the gas -solids flow. The clusters in HDCFB have higher solids holdup and lower velocity than that in the LDCFB. The HDCFB is also found to have a greater number of loose clusters for better gas-solids contacting and exchanges in the center of the riser.

引用

页数：14