Assessment of gas radiative property models in the presence of nongray particles

References

• M. F. Modest, “The treatment of nongray properties in radiative heat transfer: From past to present,” J. Heat Transfer, vol. 135, pp. 061801–1–12, 2013. DOI: 10.1115/1.4023596.
   Web of Science ®Google Scholar
• R. M. Goody and Y. L. Yung, Atmospheric Radiation. Oxford, UK: Clarendon Press, 1989.
   Google Scholar
• A. A. Lacis and V. Oinas, “A description of the correlated-k distribution method for modeling nongray gaseous absorption, thermal emission, and multiple scattering in vertically inhomogeneous atmospheres,” J. Geophys. Res., vol. 96, pp. 9027–9063, 1991. DOI: 10.1029/90jd01945.
   Web of Science ®Google Scholar
• V. Goutière, A. Charette, and L. Kiss, “Comparative performance of nongray gas modeling techniques,” Numer. Heat Transfer, Part B: Fundam., vol. 41, nos. 3–4, pp. 361–381, 2010. DOI: 10.1080/104077902753541069.
   Google Scholar
• P. J. Coelho, P. Perez, and M. El Hafi, “Benchmark numerical solutions for radiative heat transfer in two-dimensional axisymmetric enclosures with nongray sooting media,” Numer. Heat Transfer, Part B: Fundam., vol. 43, no. 5, pp. 425–444, 2003. DOI: 10.1080/713836240.
   Web of Science ®Google Scholar
• H. C. Hottel and A. F. Sarofim, Radiative Transfer. New York: McGraw-Hill, 1967.
   Google Scholar
• M. K. Denison and B. W. Webb, “An absorption-line blackbody distribution function for efficient calculation of gas radiative transfer,” J. Quant. Spectrosc. Radiat. Transfer, vol. 50, pp. 499–510, 1993. DOI: 10.1016/0022-4073(93)90043-h.
   Web of Science ®Google Scholar
• M. K. Denison, “A spectral line-based weighted-sum-of-gray-gases model for arbitrary RTE solvers,”, Ph.D. thesis, Brigham Young University, Provo, UT, 1994.
   Google Scholar
• M. K. Denison and B. W. Webb, “The spectral line-based weighted-sum-of-gray-gases model for H2O–CO2 mixtures,” ASME J. Heat Transfer, vol. 117, pp. 788–792, 1995.
   Web of Science ®Google Scholar
• J. Pearson, B. W. Webb, V. P. Solovjov, and J. Ma, “Updated correlation of the absorption line blackbody distribution function for H2O based on the HITEMP2010 database,” J. Quant. Spectr. Rad. Transfer, vol. 128, pp. 10–17, 2013. DOI: 10.1016/j.jqsrt.2012.07.016.
   Web of Science ®Google Scholar
• F. N. Çayan and N. Selçuk, “A comparative study of modeling of radiative heat transfer using MOL solution of DOM with gray gas, wide-band correlated-k, and spectral line-based weighted sum of gray gases models,” Numer. Heat Transfer, Part B: Fundam., vol. 52, no. 3, pp. 281–296, 2007. DOI: 10.1080/10407790701372728.
   Web of Science ®Google Scholar
• R. Demarco, J. L. Consalvi, A. Fuentes, and S. Melis, “Assessment of radiative property models in non-gray sooting media,” Int. J. Therm. Sci., vol. 50, pp. 1672–1684, 2011. DOI: 10.1016/j.ijthermalsci.2011.03.026.
   Web of Science ®Google Scholar
• P. D. Nguen. et al., “Application of the spectral line-based weighted-sum-of-gray-gases model (SLWSGG) to the calculation of radiative heat transfer in steel reheating furnaces firing on low heating value gases,” J. Phys.: Conf. Ser., vol. 369/012008, pp. 1–10, 2012.
   Google Scholar
• B. Garten, “Detailed radiation modeling of a particle-oxidation flame,” Int. J. Therm. Sci., vol. 87, pp. 68–84, 2015. DOI: 10.1016/j.ijthermalsci.2014.07.022.
   Web of Science ®Google Scholar
• G. Ozen and N. Selçuk, “SLW model for computational fluid dynamics modeling of combustion systems: Implementation and validation,” Numer. Heat Transfer, Part B: Fundam., vol. 70, no. 1, pp. 47–55, 2016. DOI: 10.1080/10407790.2016.1173499.
   Web of Science ®Google Scholar
• D. G. Goodwin, “Infrared optical constants of coal slags,” Ph.D. thesis, Stanford University, Stanford, USA, 1986.
   Google Scholar
• D. Bäckström. et al., “Particle composition and size distribution in coal flames—The influence on radiative heat transfer,” Exp. Therm. Fluid Sci. vol. 64, pp. 70–80, 2015. DOI: 10.1016/j.expthermflusci.2015.02.010.
   Web of Science ®Google Scholar
• R. Johansson, “Efficient treatment of non-grey radiative properties of particles and gases in modelling of radiative heat transfer in combustion environments,” Int. J. Heat Mass Transfer, vol. 108, pp. 519–528, 2017. DOI: 10.1016/j.ijheatmasstransfer.2016.12.042.
   Web of Science ®Google Scholar
• R. Johansson, T. Gronarz, and R. Kneer, “Influence of index of refraction and particle size distribution on radiative heat transfer in a pulverized coal combustion furnace,” J. Heat Transfer, vol. 139/042702, pp. 1–8, 2017. DOI: 10.1115/1.4035205.
   Web of Science ®Google Scholar
• C. Ates, N. Selçuk, and G. Kulah, “Effect of changing biomass source on radiative heat transfer during co-firing of high-sulfur content lignite in fluidized bed combustors,” Appl. Therm. Eng., vol. 128, pp. 539–550, 2018. DOI: 10.1016/j.applthermaleng.2017.09.011.
   Web of Science ®Google Scholar
• C. Ates, N. Selçuk, and G. Kulah, “Effect of limestone addition on radiative heat transfer during co-firing of high-sulfur content lignite with biomass in fluidized bed combustors,” 10th Mediterranean Combustion Symposium, Naples, Italy, September 17–21, 2017.
   Google Scholar
• M. P. Mengüç, S. Manickavasagam, and D. A. D’Sa, “Determination of radiative properties of pulverized coal particles from experiments,” Fuel, vol. 73, pp. 613–625, 1994. DOI: 10.1016/0016-2361(94)90048-5.
   Web of Science ®Google Scholar
• C. Ates, O. Sen, N. Selçuk, and G. Kulah, “Influence of spectral particle properties on radiative heat transfer in optically thin and thick media of fluidized bed combustors,” Int. J. Therm. Sci., vol. 122, pp. 266–280, 2017. DOI: 10.1016/j.ijthermalsci.2017.08.023.
   Web of Science ®Google Scholar
• T. Gronarz. et al., “Quantification of the influence of parameters determining radiative heat transfer in an oxy-fuel operated boiler,” Fuel Process. Technol., vol. 157, pp. 76–89, 2017. DOI: 10.1016/j.fuproc.2016.11.012.
   Web of Science ®Google Scholar
• C. Ates, N. Selçuk, and G. Kulah, “Significance of particle concentration distribution on radiative heat transfer in circulating fluidized bed combustors,” Int. J. Heat Mass Transfer, vol. 117, pp. 58–70, 2018. DOI: 10.1016/j.ijheatmasstransfer.2017.09.138.
   Web of Science ®Google Scholar
• C. Ates, N. Selçuk, G. Ozen, and G. Kulah, “Benchmarking grey particle approximations against nongrey particle radiation in circulating fluidized bed combustors,” Numer. Heat Transfer, Part B: Fundam., vol. 71, no. 5, 467–484, 2017. DOI: 10.1080/10407790.2017.1309144.
   Web of Science ®Google Scholar
• N. Crnomarkovic, M. Sijercic, S. Belosevic, D. Tucakovic, and T. Zivanovic, “Numerical investigation of processes in the lignite-fired furnace when simple gray gas and weighted sum of gray gases models are used,” Int. J. Heat Mass Transfer, vol. 56, pp. 197–205, 2013. DOI: 10.1016/j.ijheatmasstransfer.2012.09.024.
   Web of Science ®Google Scholar
• C. Yin, “On gas and particle radiation in pulverized fuel combustion furnaces,” Appl. Energy, vol. 157, pp. 554–561, 2015. DOI: 10.1016/j.apenergy.2015.01.142.
   Web of Science ®Google Scholar
• C. Ates, G. Ozen, N. Selcuk, and G. Kulah, “Radiative heat transfer in strongly forward scattering media of circulating fluidized bed combustors,” J. Quant. Spectrosc. Radiat. Transfer, vol. 182, pp. 264–276, 2016. DOI: 10.1016/j.jqsrt.2016.06.009.
   Web of Science ®Google Scholar
• S. Hjartstam, R. Johansson, K. Andersson, and F. Johnsson, “Computational fluid dynamics modeling of oxy-fuel flames: The role of soot and gas radiation,” Energy Fuels, vol. 26, pp. 2786–2797, 2012. DOI: 10.1021/ef200983e.
   Web of Science ®Google Scholar
• J. Zhang, T. Ito, S. Ito, D. Riechelmann, and T. Fujimori, “Numerical investigation of oxy-coal combustion in a large-scale furnace: Non-gray effect of gas and role of particle radiation,” Fuel, vol. 139, pp. 87–93, 2015. DOI: 10.1016/j.fuel.2014.08.020.
   Web of Science ®Google Scholar
• R. Johansson, B. Leckner, K. Andersson, and F. Johnsson, “Influence of particle and gas radiation in oxy-fuel combustion,” Int. J. Heat Mass Transfer, vol. 65, pp. 143–152, 2013. DOI: 10.1016/j.ijheatmasstransfer.2013.05.073.
   Web of Science ®Google Scholar
• P. Perez, M. El Hafi, P. J. Coelho, and R. Fournier, “Accurate solutions for radiative heat transfer in two-dimensional axisymmetric enclosures with gas radiation and reflective surfaces,” Numer. Heat Transfer, Part B: Fundam., vol. 47, no. 1, pp. 39–63, 2004. DOI: 10.1080/10407790490515639.
   Web of Science ®Google Scholar
• V. P. Solovjov and B. W. Webb, “An efficient method for modeling radiative transfer in multicomponent gas mixtures with soot,” J. Heat Transfer, vol. 123, pp. 450–456, 2001. DOI: 10.1115/1.1350824.
   Web of Science ®Google Scholar
• V. P. Solovjov, D. Lemonnier, and B. W. Webb, “SLW-1 modeling of radiative heat transfer in nonisothermal nonhomogeneous gas mixtures with soot,” J. Heat Transfer, vol. 133, pp. 102701–1–9, 2011. DOI: 10.1115/1.4003903.
   Web of Science ®Google Scholar
• J. Meulemans, “An assessment of some non-gray global radiation models in enclosures,” J. Phys.: Conf. Ser., vol. 676, pp. 012017, 1–12, 2016. DOI: 10.1088/1742-6596/676/1/012017.
   Google Scholar
• M. F. Modest and R. J. Riazzi, “Assembly of full-spectrum k-distributions from a narrow-band database: Effects of mixing gases, gases and nongray absorbing particles, and mixtures with nongray scatterers in nongray enclosures,” J. Quant. Spectrosc. Radiat. Transfer, vol. 90, pp. 169–189, 2005. DOI: 10.1016/j.jqsrt.2004.03.007.
   Web of Science ®Google Scholar
• N. Selçuk, Y. Gogebakan, H. Harmandar, and H. Altindag, “Effect of recycle on combustion and emission characteristics of high sulfur lignite,” Comb. Sci. Technol., vol. 176, pp. 959–975, 2004.
   Web of Science ®Google Scholar
• L. A. Dombrovsky, “The use of transport approximation and diffusion-based models in radiative transfer calculations,” Comput. Therm. Sci.: Int. J., vol. 4, pp. 297–315, 2012. DOI: 10.1615/computthermalscien.2012005050.
   Google Scholar
• C. B. Ludwig, W. Malkmus, J. E. Reardon, and J. A. L. Thomson, “Handbook of infrared radiation from combustion gases,” NASA SP-3080, Washington, DC: Scientific and Technical Information Office, NASA, 1973 Available: https://ntrs.nasa.gov/search.jsp?R=19730019075. Accessed: Mar. 15, 2018.
   Google Scholar
• A. Soufiani and J. Taine, “High temperature gas radiative property parameters of statistical narrow-band model for H2O, CO2, and CO and correlated-k (CK) model for H2O and CO2,” Int. J. Heat Mass Transfer, vol. 40, pp. 987–991, 1997. DOI: 10.1016/0017-9310(96)00129-9.
   Web of Science ®Google Scholar
• M. Kozan and N. Selçuk, “Investigation of radiative heat transfer in freeboard of a 0.3 MWt AFBC test rig,” Combust. Sci. Technol., vol. 153, pp. 113–126, 2000. DOI: 10.1080/00102200008947254.
   Web of Science ®Google Scholar
• N. Selçuk, A. Batu, and I. Ayranci, “Performance of method of lines solution of discrete ordinates method in the freeboard of a bubbling fluidized bed combustor,” J. Quant. Spectrosc. Radiat. Transfer, vol. 73, pp. 503–516, 2002. DOI: 10.1016/s0022-4073(01)00225-4.
   Web of Science ®Google Scholar
• B. G. Carlson and K. D. Lathrop, “Transport theory-the method of discrete ordinates,” in Computing Methods in Reactor Physics, H. Greenspan, C. N. Kelber, and D. Okrent, Eds. New York: Gordon & Breach, 1968, pp. 165–266.
   Google Scholar
• N. Selçuk and N. Kayakol, “Evaluation of angular quadrature and spatial differencing schemes for discrete ordinates method in rectangular furnaces,” Proc. of 31st National Heat Transfer Conference, Houston, Texas, USA, ASME HTD, vol. 325, pp. 151–158, August 3–6, 1996.
   Google Scholar
• R. Weiner, B. A. Schmitt and H. Podhaisky, “ROWMAP-a ROW-code with Krylov techniques for large stiff ODEs,” Halle/Saale, Germany: FB Mathematik und Informatik, Universitaet Halle, Technical Report 44, 1996.
   Google Scholar
• S. H. Kim and K. Y. Huh, “A new angular discretization scheme of the finite volume method for 3-D radiative heat transfer in absorbing, emitting and anisotropically scattering media,” Int. J. Heat Mass Transfer, vol. 43, pp. 1233–1242, 2000. DOI: 10.1016/s0017-9310(99)00211-2.
   Web of Science ®Google Scholar