References
- Bashiri, H., Mostoufi, N., Radmanesh, R., Sotudehgharebagh, R., & Chaouki, J. (2010). Effect of bed diameter on the hydrodynamics of gas-solid fluidized beds. Iranian Journal of Chemistry and Chemical Engineering, 29(3), 27–36. https://doi.org/http://doi.org/10.1016/j.ijrmhm.2010.06.003
- Boemer, A., Qi, H., & Renz, U. (1998). Verification of Eulerian simulation of spontaneous bubble formation in a fluidized bed. Chemical Engineering Science, 53(10), 1835–1846. https://doi.org/https://doi.org/10.1016/S0009-2509(98)00044-X
- Bonniol, F., Sierra, C., Occelli, R., & Tadrist, L. (2009). Similarity in dense gas–solid fluidized bed, influence of the distributor and the air-plenum. Powder Technology, 189(1), 14–24. https://doi.org/https://doi.org/10.1016/j.powtec.2008.05.011
- Bricout, V., & Louge, M. Y. (2004). A verification of Glicksman’s reduced scaling under conditions analogous to pressurized circulating fluidization. Chemical Engineering Science, 59(13), 2633–2638. https://doi.org/https://doi.org/10.1016/j.ces.2004.03.017
- Correa, C. R., & Kruse, A. (2017). Supercritical water gasification of biomass for hydrogen production – Review. The Journal of Supercritical Fluids, 133, 573–590. https://doi.org/https://doi.org/10.1016/j.supflu.2017.09.019
- Ebrahimi, M., Siegmann, E., Prieling, D., Glasser, B. J., & Khinast, J. G. (2017). An investigation of the hydrodynamic similarity of single-spout fluidized beds using CFD-DEM simulations. Advanced Powder Technology, 28(10), 2465–2481. https://doi.org/https://doi.org/10.1016/j.apt.2017.05.009
- Ghazvinei, P. T., Darvishi, H. H., Mosavi, A., Yusof, K., Alizamir, M., & Shamshirband, S. (2018). Sugarcane growth prediction based on meteorological parameters using extreme learning machine and artificial neural network. Engineering Applications of Computational Fluid Mechanics, 12(1), 738–749. https://doi.org/https://doi.org/10.1080/19942060.2018.1526119
- Glicksman, L. R. (1984). Scaling relationships for fluidized beds. Chemical Engineering Science, 39(9), 1373–1379. https://doi.org/https://doi.org/10.1016/0009-2509(84)80070-6
- Glicksman, L. R. (1988). Scaling relationships for fluidized beds. Chemical Engineering Science, 43(6), 1419–1421. https://doi.org/https://doi.org/10.1016/0009-2509(88)85118-2
- Glicksman, L. R., Hyre, M., & Woloshun, K. (1993). Simplified scaling relationships for fluidized beds. Powder Technology, 77(2), 177–199. https://doi.org/https://doi.org/10.1016/0032-5910(93)80055-F
- Glicksman, L. R., Hyre, M. R., & Farrell, P. A. (1994). Dynamic similarity in fluidization. International Journal of Multiphase Flow, 20, 331–386. https://doi.org/https://doi.org/10.1016/0301-9322(94)90077-9
- Horio, M., Nonaka, A., Sawa, Y., & Muchi, I. (1986). A new similarity rule for fluidized bed scale-up. AICHE Journal, 32(9), 1466–1482. https://doi.org/https://doi.org/10.1002/aic.690320908
- Jong, W. D., & Ommen, J. R. V. 2019. Scale-up in fluidized bed biomass combustion, 33–60.
- Kelkar, V. V., & Ng, K. M. (2002). Development of fluidized catalytic reactors: Screening and scale-up. AICHE Journal, 48(7), 1498–1518. https://doi.org/https://doi.org/10.1002/aic.690480714
- Knowlton, T. M., Karri, S., & Issangya, A. (2005). Scale-up of fluidized-bed hydrodynamics. Powder Technology, 150(2), 72–77. https://doi.org/https://doi.org/10.1016/j.powtec.2004.11.036
- Lu, B., Zhang, J., Luo, H., Wang, W., Li, H., & Ye, M. (2017). Numerical simulation of scale-up effects of methanol-to-olefins fluidized bed reactors. Chemical Engineering Science, 171, 244–255. https://doi.org/https://doi.org/10.1016/j.ces.2017.05.007
- Lu, Y., Huang, J., Zheng, P., & Jing, D. (2015). Flow structure and bubble dynamics in supercritical water fluidized bed and gas fluidized bed: A comparative study. International Journal of Multiphase Flow, 73, 130–141. https://doi.org/https://doi.org/10.1016/j.ijmultiphaseflow.2015.03.011
- Lu, Y., Wei, L., & Wei, J. (2015). A numerical study of bed expansion in supercritical water fluidized bed with a non-spherical particle drag model. Chemical Engineering Research & Design, 104, 164–173. https://doi.org/https://doi.org/10.1016/j.cherd.2015.08.005
- Lu, Y., Zhang, T., & Dong, X. (2016). Numerical analysis of heat transfer and solid volume fraction profiles around a horizontal tube immersed in a supercritical water fluidized bed. Applied Thermal Engineering, 93, 200–213. https://doi.org/https://doi.org/10.1016/j.applthermaleng.2015.09.026
- Lu, Y., Zhao, L., & Guo, L. (2011). Technical and economic evaluation of solar hydrogen production by supercritical water gasification of biomass in China. International Journal of Hydrogen Energy, 36(22), 14349–14359. https://doi.org/https://doi.org/10.1016/j.ijhydene.2011.07.138
- Lu, Y., Zhao, L., Han, Q., Wei, L., Zhang, X., & Guo, L. (2013). Minimum fluidization velocities for supercritical water fluidized bed within the range of 633-693K and 23-27MPa. International Journal of Multiphase Flow, 49, 78–82. https://doi.org/https://doi.org/10.1016/j.ijmultiphaseflow.2012.10.005
- Maio, F., & Renzo, A. D. (2013). Verification of scaling criteria for bubbling fluidized beds by DEM–CFD simulation. Powder Technology, 248, 161–171. https://doi.org/https://doi.org/10.1016/j.powtec.2013.03.029
- Matsen, J. M. (1996). Scale-up of fluidized bed processes: Principle and practice. Powder Technology, 88(3), 237–244. https://doi.org/https://doi.org/10.1016/S0032-5910(96)03126-9
- Matsen, J. M. (1997). Design and scale-up of CFB catalytic reactors. Springer Netherlands.
- Matsumura, Y., & Minowa, T. (2004). Fundamental design of a continuous biomass gasification process using a supercritical water fluidized bed. International Journal of Hydrogen Energy, 29(7), 701–707. https://doi.org/https://doi.org/10.1016/j.ijhydene.2003.09.005
- Mosavi, A., Shamshirband, S., Salwana, E., Chau, K. W., & Tah, J. (2019). Prediction of multi-inputs bubble column reactor using a novel hybrid model of computational fluid dynamics and machine learning. Engineering Applications of Computational Fluid Mechanics, 13(1), 482–492. https://doi.org/https://doi.org/10.1080/19942060.2019.1613448
- Okolie, J. A., Rana, R., Nanda, S., Dalai, A. K., & Kozinski, J. A. (2019). Supercritical water gasification of biomass: A state-of-the-art review of process parameters, reaction mechanisms and catalysis. Sustainable Energy & Fuels, 3(3), 578–598. https://doi.org/https://doi.org/10.1039/C8SE00565F
- Ommen, J., Teuling, M., Nijenhuis, J., & Wachem, B. (2006). Computational validation of the scaling rules for fluidized beds. Powder Technology, 163(1-2), 32–40. https://doi.org/https://doi.org/10.1016/j.powtec.2006.01.010
- Ren, C., Jin, H., Ren, Z., Ou, Z., & Guo, L. (2020). Simulation of solid-fluid interaction in a supercritical water fluidized bed with a cold jet. Powder Technology, 363, 687–698. https://doi.org/https://doi.org/10.1016/j.powtec.2020.01.034
- Rüdisüli, M., Schildhauer, T. J., Biollaz, S. M. A., & van Ommen, J. R. (2012). Scale-up of bubbling fluidized bed reactors – A review. Powder Technology, 217, 21–38. https://doi.org/https://doi.org/10.1016/j.powtec.2011.10.004
- Shamshirband, S., Babanezhad, M., Mosavi, A., Nabipour, N., Hajnal, E., & Nadai, L. (2020). Prediction of flow characteristics in the bubble column reactor by the artificial pheromone-based communication of biological ants. Engineering Applications of Computational Fluid Mechanics, 14(1), 367–378. https://doi.org/https://doi.org/10.1080/19942060.2020.1715842
- Syamlal, M., & O’Brien, T. J. (1989). Computer simulation of bubbles in a fluidized bed. AICHE Symposium Series, 8, 22–31.
- Verma, V., Padding, J. T., Deen, N. G., & Kuipers, J. (2015). Effect of bed size on hydrodynamics in 3-D gas–solid fluidized beds. AICHE Journal, 61(5), 1492–1506. https://doi.org/https://doi.org/10.1002/aic.14738
- Wagner, W., Cooper, J. R., Dittmann, A., Kijima, J., Kretzschmar, H., Kruse, A., Mares, R., Oguchi, K., Sato, H., & Stocker, I. (2000). The IAPWS industrial formulation 1997 for the thermodynamic properties of water and steam. Journal of Engineering for Gas Turbines & Power, 122(1), 150–184. https://doi.org/https://doi.org/10.1115/1.483186
- Wang, Q., Zhang, K., Brandani, S., & Jiang, J. (2009). Scale-up strategy for the jetting fluidized bed using a CFD model based on two-fluid theory. The Canadian Journal of Chemical Engineering, 87(2), 204–210. https://doi.org/https://doi.org/10.1002/cjce.20148
- Wei, L., Lu, Y., & Wei, J. (2013). Hydrogen production by supercritical water gasification of biomass: Particle and residence time distribution in fluidized bed reactor. International Journal of Hydrogen Energy, 38(29), 13117–13124. https://doi.org/https://doi.org/10.1016/j.ijhydene.2013.01.148
- Wen, C. Y., & Yu, Y. H. (1966). A generalized method for predicting the minimum fluidization velocity. AICHE Journal, 12(3), 610–612. https://doi.org/https://doi.org/10.1002/aic.690120343
- Werther, J. (1974). Influence of the bed diameter on the hydrodynamics of gas fluidized beds. ACS Symposium Series, 70(141), 53–62.
- Wu, G., Wang, Q., Zhang, K., & Wu, X. (2016). CFD simulation of hydrodynamics and heat transfer for scale-up of the jetting fluidized beds. Powder Technology, 304, 120–133. https://doi.org/https://doi.org/10.1016/j.powtec.2016.08.021
- Yao, L., & Lu, Y. (2017). Supercritical water gasification of glucose in fluidized bed reactor: A numerical study. International Journal of Hydrogen Energy, 42(12), 7857–7865. https://doi.org/https://doi.org/10.1016/j.ijhydene.2017.03.009
- Ye, X., An, X., Zhang, H., & Guo, B. (2020). Numerical simulation on flow and evaporation characteristics of desulfurization wastewater in a bypass flue. Engineering Applications of Computational Fluid Mechanics, 14(1), 411–421. https://doi.org/https://doi.org/10.1080/19942060.2020.1719891
- Zhang, H., Huang, Y., An, X., Yu, A., & Xie, J. (2021). Numerical prediction on the minimum fluidization velocity of in a supercritical water fluidized bed reactor: Effect of particle size distributions. Powder Technology, 389, 119–130. https://doi.org/https://doi.org/10.1016/j.powtec.2021.05.015
- Zhong, W., Liu, X., Grace, J. R., Epstein, N., Ren, B., & Jin, B. (2013). Prediction of minimum spouting velocity of spouted bed by CFD-TFM: Scale-up. Canadian Journal of Chemical Engineering, 91(11), 1809–1814. https://doi.org/https://doi.org/10.1002/cjce.21865