INTRINSIC PARAMETERS OF DRY CHOPPED MISCANTHUS FOR COLD PARTICLE DYNAMIC MODELING
DOI:
https://doi.org/10.11113/jt.v82.13534Keywords:
Intrinsic parameter, helical pattern, particle dynamic, shape factor, discrete phase model, cold modelingAbstract
Miscanthus is a bioenergy crop that is very easy to cultivate. It has high volatile content with an average energy value of about 18.8 MJ/kg on a dry basis. With the benefits mentioned above, Miscanthus is potential as a fuel for the suspended furnace. Therefore, the furnace design for the Miscanthus particle needs to be developed immediately. A relatively fast and low-cost technique to develop a burner furnace design is the modeling. This study aims to determine the intrinsic parameter values of dry Miscanthus particles needed in cold particle dynamic modeling. The various reasonable experimental techniques were used to obtain these parameter’s values. Then, a series of simulations and experiments of dry chopped Miscanthus dynamic in a special burner was conducted to assess the conformity of these values. The intrinsic parameters values of dry chopped Miscanthus obtained are as follows; shape factor (fs) 0.52, true particle density (Ïp) 245 kg m-3, minimum, maximum, and mean particle diameters (dp) 106, 9520, and 1384 µm respectively, and spread parameter (n) 1.22. Qualitatively, the particle dynamic simulation results, using RSM and k-e models, showed similar particle pathlines to the experiment results, in terms of the frequency and intersection of the helical structure formed in the burner cylinder. It indicates that the intrinsic parameter values obtained in this study are reliable results and can be used for further simulation works. In addition, particle dynamics experiments and simulations also revealed that the particle pathline in the burner cylinder tend to move near the cylinder wall in a helical pattern; a single helix pattern in a single tangential inlet burner and a double helix pattern in a double tangential inlets burner. Regardless of the effect of the tangential inlet number, the helical pattern in the burner cylinder was also influenced by the initial swirl number (ISN) of the flow. The lower the ISN, the lower the helical frequency formed and vice versa. This study also proved that at low to moderate swirl intensities, the k-e turbulent model can be relied upon to model particle dynamics in a cyclone burner.
References
Chung, J. H. and Kim, D. S. 2012. Miscanthus as a Potential Bioenergy Crop in East Asia. Journal of Crop Science and Biotechnology. 15(2): 65-77.
Doi: 10.1007/s12892-012-0023-0.
Vanja, J., Nikola, B., Tajana, K., Josip, L., Ana, M. and Ivan, K. 2014. Fuel Properties’ Comparison of Allochthonous Miscanthus x Giganteus and Autochthonous Arundo Donax L.: A Study Case in Croatia. Agriculturae Conspectus Scientificus. 79(1): 7-11.
Victor, Ţ., Andrei, G., Alexandru, U., Mihai, G. and Aurelia, L. 2016. Prospects for the Utilization of the Miscanthus Giganteus and Polygonum Sachalinense for Solid Biofuel Production in the Republic of Moldova. A. Agronomy. 59: 543-546.
Luo, S., Xiao, B., Hu, Z., Liu, S. and He, M. 2010. Experimental Study on Combustion of Biomass Micron Fuel (BMF) in Cyclone Furnace. Energy Conversion and Management. 51: 2098-2102.
Doi:10.1016/j.enconman.2010.03.001.
Tokarski, S., Głod, K., Sciazko, M. and Zuwała, J. 2015. Comparative Assessment of the Energy Effects of Biomass Combustion and Co-Firing in Selected Technologies. Energy. 30: 1-9.
Doi:10.1016/j.energy.2015.06.044.
Stephen, M. B. K. and Philip, C. M. 2004. Simulation and Modeling of Wood Dust Combustion in Cyclone Burners. Final Technical Report. U. S. Department of Energy. 1-49.
Susanne, P. and Calle, N. 2004. The Effects of Particle Characteristics on Emissions from Burning Wood Fuel Powder. Fuel. 83: 813-821.
Doi:10.1016/j.fuel.2003.10.010.
Juan, H. S. A., Daniel, J. O. F., Caice, G. S., Justo, E. A., Leonardo, P. R. and Song, W. P. 2015. The Influence of Swirl Burner Geometry on the Sugar-Cane Bagasse Injection and Burning. International Journal of Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineering. 9(5): 798-801.
Pragati, K. and Sharma, H.K. 2013. Concept of Computational Fluid Dynamics (CFD) and its Applications in Food Processing Equipment Design. Journal of Food Processing and Technology. 3: 1-7.
Doi:10.4172/2157-7110.1000138.
Chevanan, N., Womac, A. R. and Bitra, V. S. 2008. Loose-Filled and Tapped Densities of Chopped Switchgrass, Corn Stover and Wheat Straw. ASABE Annual International Meeting. Rhode Island, USA.
Lam, P. S., Sokhansanj, S., Bi, X., Mani, S., Lim, C. J., Womac, A. R., Hoque, M., Peng, J., JayaShankar, T., Naimi, L. J. and Nayaran, S. 2008. Bulk Density of Wet and Dry Wheat Straw and Switchgrass Particles. Applied Engineering in Agriculture. 24(3): 351-358.
Doi: 10.13031/2013.24490.
Peter, F. D., Jay, G. S., Douglas, R. W., Paul, D. and Jose, L. J. 2004. Particle Morphology and Density Characterization by Combined Mobility and Aerodynamic Diameter Measurements. Part 1: Theory. Aerosol Science and Technology. 38: 1185-1205.
Doi: 10.1080/027868290903907.
Carter, R. M. and Yan, Y. 2005. Measurement of Particle Shape Using Digital Imaging Techniques. Journal of Physics: Conference Series. 15: 177-182.
Doi:10.1088/1742-6596/15/1/030.
Baxter, L., Ip, L., Lu, H. and Tree, D. 2005. Distinguishing Biomass Combustion Characteristics and Their Implications for Sustainable Energy. The 5th Asia Pacific Conference on Combustion. University of Adelaide, Australia.
Ansys Inc. 2013. Ansys Documentation: Solver Theory.
Chen, J., Haynes, B. S. and Fletcher, D. F. 1999. A Numerical and Experimental Study of Tangentially Injected Swirling Pipe Flows. 2nd International Conference on CFD in the Minerals and Process Industries. Melbourne, Australia.
Yazid, B. 2017. Computation Engineering on Multi-Dimensional Turbulent Flows (in the Indonesian Language). First Edition. ITB Press, Bandung, Indonesia.
Lasse, A. R., Chungen, Y., Søren, K. K., Klaus, F. and Peter, O. 2007. Physical Characterization of Biomass Fuels Prepared for Suspension Firing in Utility Boilers for CFD Modelling. Biomass and Bioenergy. 31: 318-325.
Doi: 10.1016/j.biombioe.2007.01.015.
Jonas, D. and Ingwald, O. 2004. Evaluation of the Combustion Characteristics of Four Perennial Energy Crops (Arundo Donax, Cynara Cardunculus, Miscanthus X Giganteus and Panicum Virgatum). 2nd World Conference on Biomass for Energy, Industry and Climate Protection. Rome. Italy.
Mariusz, J. S., Michal, K., Malwina, S., Emilia, S., Marek, P. and Radoslaw, F. 2014. Thermophysical and Chemical Properties of Perennial Energy Crops Depending on Harvest Period. International Agrophysics. 28: 201-211.
Doi: 10.2478/intag-2014-0009.
Momeni, M., Yin, C., Kær, S. K., Hansen, T. B., Jensen, P. A. and Glarborg, P. 2013. Experimental Study on Effects of Particle Shape and Operating Conditions on Combustion Characteristics of Single Biomass Particles. Energy and Fuels. 27(1): 507−514.
Doi: 10.1021/ef301343q.
Holmgren, P., Wagner, D. R., Strandberg, A., Molinder, R., Wiinikka, H., Umeki, K. and Broström, M. 2017. Size, Shape, and Density Changes of Biomass Particles during Rapid Devolatilization. Fuel. 206: 342-351.
Doi:10.1016/j.fuel.2017.06.009.
Elfasakhany, A., Klason, T. and Bai, X. S. 2008. Modeling of Pulverised Wood Combustion Using a Functional Group Model. Combustion Theory and Modelling. 12(5): 883-890.
Doi: 10.1080/13647830802094344.
Chinsung, M., Hookyung, L., Sangmin, C. and Vasilije, M. 2016. Combustion Behavior of Relatively Large Pulverized Biomass Particles at Rapid Heating Rates. Energy & Fuels. 30: 10809-10822.
DOI: 10.1021/acs.energyfuels.6b01457.
Escue, A. and Cui, J. 2010. Comparison of Turbulence Models in Simulating Swirling Pipe Flows. Applied Mathematical Modelling. 34: 2840-2849.
Doi: 10.1016/j.apm.2009.12.018.
Vázquez, J. A. R. 2012. A Computational Fluid Dynamics Investigation of Turbulent Swirling Burners. Ph.D Thesis. University of Zaragoza, Spain.
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