Method of identifying an operating regime in a bubbling fluidized bed gasification reactor

Method of identifying an operating regime in a bubbling fluidized bed gasification reactor

Rajan Jaiswal Nora C. I. S. Furuvik Rajan K. Thapa Britt M. E. Moldestad

 

Department of Natural Science and Maritime Science, University of South-Eastern Norway, Porsgrunn, Norway

Page: 
24-34
|
DOI: 
https://doi.org/10.2495/EQ-V5-N1-24-34
Received: 
N/A
| |
Accepted: 
N/A
| | Citation

© 2020 IIETA. This article is published by IIETA and is licensed under the CC BY 4.0 license (http://creativecommons.org/licenses/by/4.0/).

OPEN ACCESS

Abstract: 

This work presents a new method for identifying the bubbling regime of a fluidized bed gasification reactor. The method has been developed using experimental measurements and a computational model. Pressure drops are measured in experiments, and pressure drop as well as solid volume fraction fluctuations are calculated by implementing the model. experiments are carried out with sand and limestone particles of mean diameter 346 µm and 672 µm, respectively. A computational particle fluid dynamics (CPFD) model has been developed for the reactor and implemented using a commercial CPFD software Barracuda VR. The model is validated against experimental measurements. The validated model is used to analyse the fluctuation of pressure drop and solid volume fraction as a function of superficial air velocity. The change in standard deviation of pressure drop and solid volume fraction fluctuation is used to predict the transition from one regime to another. The method can be used in the design and operation of a bubbling fluidized bed gasification reactor. The results show that the minimum fluidization velocity for sand and limestone are 0.135 m/s and 0.36 m/s, respectively and are independent of the particle aspect ratio. Both types of particle beds make the transition into bubbling regime as soon as they get fluidized. The bed aspect ratios have almost no effect on the onset of bubbling fluidization regime. The slugging velocity decreases with increasing aspect ratio for both types of particles. The operating range of the bubbling fluidized bed for sand particle is 0.2–0.4 m/s and 0.5–0.8 m/s for the limestone particles.

Keywords: 

biomass gasification, CPFD, fluidized bed, pressure drop, solid volume fraction

  References

[1] McKendry, P., Energy production from biomass (part 1): Overview of biomass. Bioresource Technology, 83(1), pp. 37–46, 2002. https://doi.org/10.1016/S0960-8524(01)00118-3

[2] Demirbas, A., Global renewable energy resources. Energy Sources, 28(8), pp. 779–792, 2006. https://doi.org/10.1080/00908310600718742

[3] Kern, S., Pfeifer, C. & Hofbauer, H., Gasification of wood in a dual fluidized bed gasifier: Influence of fuel feeding on process performance. Chemical Engineering Science, 90, pp. 284–298, 2013. https://doi.org/10.1016/j.ces.2012.12.044

[4] Rapagnà, S., Jand N., Kiennemann, A. & Foscolo, P.U., Steam-gasification of biomass in a fluidised-bed of olivine particles. Biomass and Bioenergy, 19(3), pp. 187–197, 2000. https://doi.org/10.1016/s0961-9534(00)00031-3

[5] Singh, R.I., Brink, A. & Hupa, M., CFD modeling to study fluidized bed combustion and gasification. Applied Thermal Engineering, 52(2), pp. 585–614, 2013. https://doi.org/10.1016/j.applthermaleng.2012.12.017

[6] Hjertager, B.H., Multi-fluid CFD analysis of chemical reactors. Multiphase reacting flows: modelling and simulation, eds. D.L. Marchisio & R.O. Fox, Springer, pp. 125–179, 2007.

[7] Xie, J., Zhong, W., Jin, B., Shao, Y. & Liu, H., Simulation on gasification of forestry residues in fluidized beds by Eulerian–Lagrangian approach. Bioresource Technology, 121, pp. 36–46, 2012. https://doi.org/10.1016/j.biortech.2012.06.080

[8] Thapa, R., Pfeifer, C. & Halvorsen, B.M., Modeling of reaction kinetics in bubbling fluidized bed biomass gasification reactor. International Journal of Energy and Environment, 5(1), pp. 35–44, 2014.

[9] Andrews, M.J. & O’Rourke, P.J., The multiphase particle-in-cell (MP-PIC) method for dense particulate flows. International Journal of Multiphase Flow, 22(2), pp. 379–402, 1996. https://doi.org/10.1016/0301-9322(95)00072-0

[10] Snider, D.M., An incompressible three-dimensional multiphase particle-in-cell model for dense particle flows. Journal of Computational Physics, 170(2), pp. 523–549, 2001. https://doi.org/10.1006/jcph.2001.6747

[11] Gidaspow, D., Multiphase Flow and Fluidization: Continuum and Kinetic Theory Descriptions, Academic Press, 1994.

[12] Yates, J., Fundamentals of Fluidized-Bed Chemical Processes, Butterworth-Heinemann, 2013.

[13] Yerushalmi, J. & Cankurt, N.T., Further studies of the regimes of fluidization. Powder Technology, 24(2), pp. 187–205, 1979. https://doi.org/10.1016/0032-5910(79)87036-9