Experimental and computational studies of circulating fluidized bed

Experimental and computational studies of circulating fluidized bed

Ali Moradi Nastaran Ahmadpour Samani Masih Mojarrad Masih Mojarrad Janitha c. Bandara Britt M. E. Moldestad

 

University of South-Eastern Norway, Norway

Page: 
302-313
|
DOI: 
https://doi.org/10.2495/EQ-V5-N4-302-313
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: 

Biomass gasification represents an efficient process for the production of power, heat and biofuels. Different technologies are used for gasification and this article focuses on a circulating fluidized bed (CFB) system. Understanding the behaviour of particles is of primary importance and a cold flow CFB experimental unit was constructed and tested. The particle circulation rate is greatly affected by the loop seal performance, and therefore the loop seal should be properly optimized to maintain an uninterrupted operation. Smooth flow regimes were obtained for the CFB by varying the loop seal aeration rates. Particles with size 850–1000 µm and 1000–1180 µm were chosen for the experiments. The minimum flow rates of air into the riser for the two particle sizes were found to be 1.3 and 1.5 Sm3/ min, respectively. To obtain a smooth flow regime, a velocity range for aeration in the loop seal was found for the two particle sizes. Based on the experimental results, combinations of flow rates were suggested for the simulations. A Computational Particle Fluid Dynamic (CPFD) model was developed using Barracuda VR, and the model was validated against experimental results. The simulated results for the system regarding the pressure and the height of the bed material in the standpipe agreed well with the experimental results. The deviation between the experimental and computational pressure was less than 0.5% at all the locations for both the particle sizes. The deviation in particle level was about 6% for the 850–1000 µm particles and 17% for the 1000–1150 µm particles. Both the experiments and the simulations predicted that a small fraction of the circulating sands are emitted from the top of the rig. The validated CPFD model was further used to predict the flow behaviour and the particle circulation rate in the CFB.

Keywords: 

Baracuda, circulating fluidized bed, CPFD, gasification, loop seal, multiphase flow

  References

[1] Grace, J.R. & Bi, H., Introduction to circulating fluidized beds. Circulating Fluidized Beds, Springer, pp. 1–20, 1997.

[2] Klenov, O.P., Noskov, A.S. & Parahin, O.A., Investigation of behaviors in circulating fluidized bed. Chemical Engineering Science, 329, pp. 66–76, 2017. https://doi.org/10.1016/j.cej.2017.06.092

[3] Wang, Q., Wang, P., Yang, H., Lu, J., Liu, Q., Zhang, H., Wei, L. & Zhang, M., Application of CPFD method in the simulation of a circulating fluidized bed with a loop seal Part II—Investigation of solids circulation. Powder Technology, 253, pp. 822–828, 2014. https://doi.org/10.1016/j.powtec.2013.11.040

[4] Bandara, J.C., Thapa, R., Nielsen, H.K., Moldestad, B.M.E. & Eikeland, M.S., Circulating fluidized bed reactors – Part 01: Analyzing the effect of particle modelling parameters in Computational Particle Fluid Dynamic (CPFD) simulation with experimental validation. Particulate Science and Technology, 2019, doi:10.1080/02726351.2019.1697773

[5] CPFD Software. LLC, “Barracuda VR Series 15,” User Manual.

[6] Jaiswal, R., Furuvik, N.C.I.S., Thapa, R.K. & Moldestad, B.M.E., Method of identifying an operating regime in a bubbling fluidized bed gasification reactor. International Journal of Energy Production & Management, 5(1), pp. 24–34, 2020. https://doi.org/10.2495/eq-v5-n1-24-34

[7] Furuvik, N.C.I.S., Jaiswal, R., Thapa R.K. & Moldestad, B.M.E., CPFD model for prediction of flow behavior in an agglomerated fluidized bed gasifier. International Journal of Energy Production and Management, 4(2), pp. 105–114, 2019. https://doi.org/10.2495/eq-v4-n2-105-114

[8] Furuvik, N.C.I., Jaiswal, R., Thapa, R.K. & Moldestad, B.M.E., Study of agglomeration in fluidized bed gasification of biomass using CPFD simulations. Linköping Electronic Conference Proceedings, 170, pp. 176–181, 2019.

[9] Thapa, R.K., Frohner, A., Tondl, G., Pfeifer, C. & Halvorsen, B.M., Circulating fluidized bed combustion reactor: Computational Particle Fluid Dynamic model validation and gas feed position optimization. Computers & Chemical Engineering, 92, pp.180–188, 2016. https://doi.org/10.1016/j.compchemeng.2016.05.008

[10] Chen, C., Werther, J., Heinrich, S., Qi, H.-Y. & Ulrich, E., CPFD simulation of circulating fluidized bed risers. Powder Technology, 235, pp. 238–247, 2013. https://doi.org/10.1016/j.powtec.2012.10.014