Scale-up effect analysis and modeling of liquid–solid circulating fluidized bed risers using multigene genetic programming--颗粒学报PARTICUOLOGY

Razzak, S. A., Al-Hammadi, S. A., Rahman, S. M., Quddus, M. R., Hossain, M. M., & Zhu, J. (2020). Scale-up effect analysis and modeling of liquid–solid circulating fluidized bed risers using multigene genetic programming. Particuology, 52, 57-66. https://doi.org/10.1016/j.partic.2019.12.003

Scale-up effect analysis and modeling of liquid–solid circulating fluidized bed risers using multigene genetic programming

Shaikh A. Razzak ^a *, Saddam A. Al-Hammadi ^a, Syed M. Rahman ^b, Mohammad R. Quddus ^c, Mohammad M. Hossain ^a, Jesse Zhu ^c

a Department of Chemical Engineering, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia
b Center for Environment & Water, RI, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia
c Department of Chemical and Biochemical Engineering, University of Western Ontario, Canada

10.1016/j.partic.2019.12.003

Volume 52, October 2020, Pages 57-66

Received 21 August 2017, Revised 14 July 2019, Accepted 12 December 2019, Available online 23 January 2020, Version of Record 24 June 2020.

E-mail: srazzak@kfupm.edu.sa

Highlights

• Model validated by comparing model predicted and pilot-scale LSCFB data.

• GP model prediction and experimental data are in agreement.

• Statistical performance measures of the GP model are quite competitive.

• Three different scales are compared with experiments for model validation.

• Different parameters are considered for comparing scale-up effects.

Abstract

Understanding scale-up effects on the hydrodynamics of a liquid‒solid circulating fluidized bed (LSCFB) unit requires both experimental and theoretical analysis. We implement multigene genetic programming (MGGP) to investigate the solid holdup and distribution in three LSCFB systems with different heights. In addition to data obtained here, we also use a portion of data sets of LSCFB systems developed by Zheng (1999) and Liang et al. (1996). Model predictions are in good agreement with the experimental data in both radial and axial directions and at different normalized superficial liquid and solid velocities. The radial profiles of the solid holdup are approximately identical at a fixed average cross-sectional solid holdup for the three LSCFB systems studied. Statistical performance indicators including the mean absolute percentage error (6.19%) and correlation coefficient (0.985) are within an acceptable range. The results suggest that a MGGP modeling approach is suitable for predicting the solid holdup and distribution of a scaled-up LSCFB system.

Graphical abstract

Keywords

Fluidization; Liquid‒solid circulating fluidized bed; Multigene genetic programming; Scale-up effect; Normalized superficial liquid velocity; Solid holdup

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