Home > Publications database > New H 2 O weighted sum of gray gases model for natural convection flows within large cavities > print |
001 | 903575 | ||
005 | 20240712084557.0 | ||
024 | 7 | _ | |a 10.1088/1742-6596/2116/1/012064 |2 doi |
024 | 7 | _ | |a 1742-6588 |2 ISSN |
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037 | _ | _ | |a FZJ-2021-05230 |
082 | _ | _ | |a 530 |
100 | 1 | _ | |a Liu, Xiongguo |0 P:(DE-Juel1)173874 |b 0 |e Corresponding author |u fzj |
245 | _ | _ | |a New H 2 O weighted sum of gray gases model for natural convection flows within large cavities |
260 | _ | _ | |a Bristol |c 2021 |b IOP Publ. |
264 | _ | 1 | |3 print |2 Crossref |b IOP Publishing |c 2021-11-01 |
264 | _ | 1 | |3 print |2 Crossref |b IOP Publishing |c 2021-11-01 |
336 | 7 | _ | |a article |2 DRIVER |
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520 | _ | _ | |a Radiation heat transfer plays a significant role in buoyancy driven flows for large scale facilities. In the analysis of nuclear containment safety during severe accidents, it has been found that the thermal radiation particularly affects the temperature distribution and containment pressurization due to the humidity environment. In order to model thermal radiation, one of the main challenges is the description of nongray gas property for the steam-air mixtures. The weighted sum of gray gases model (WSGG) is a reasonable method in engineering applications because of its computational efficiency. There are many WSGG models available for combustion applications, but none of them is dedicated for low temperature applications. Furthermore, most of the existing WSGG models only provide the fixed partial pressure ratios (e.g., pH2O = 2pCO2 for methane). To overcome this limitation, a tailored WSGG model is derived by the Line-by-Line model for a gas mixture composed of arbitrary concentrations of H2O. This tailored WSGG model is valid for the pressure path length ranging from 0.0001 to 10 atm · m, and for the temperature from 300 to 1200 K. The WSGG correlations are verified against the Line-by-Line benchmark solutions with isothermal/non-isothermal temperatures and homogeneous/non-homogeneous concentrations. The results demonstrate the ability and efficiency of the new tailored WSGG formulation. |
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542 | _ | _ | |i 2021-11-01 |2 Crossref |u http://creativecommons.org/licenses/by/3.0/ |
542 | _ | _ | |i 2021-11-01 |2 Crossref |u https://iopscience.iop.org/info/page/text-and-data-mining |
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700 | 1 | _ | |a Kelm, Stephan |0 P:(DE-Juel1)130361 |b 1 |u fzj |
700 | 1 | _ | |a Yin, Chungen |0 P:(DE-HGF)0 |b 2 |
700 | 1 | _ | |a Allelein, Hans-Josef |0 P:(DE-Juel1)130314 |b 3 |u fzj |
773 | 1 | 8 | |a 10.1088/1742-6596/2116/1/012064 |b IOP Publishing |d 2021-11-01 |n 1 |p 012064 |3 journal-article |2 Crossref |t Journal of Physics: Conference Series |v 2116 |y 2021 |x 1742-6588 |
773 | _ | _ | |a 10.1088/1742-6596/2116/1/012064 |g Vol. 2116, no. 1, p. 012064 - |0 PERI:(DE-600)2166409-2 |n 1 |p 012064 |t Journal of physics / Conference Series |v 2116 |y 2021 |x 1742-6588 |
856 | 4 | _ | |u https://juser.fz-juelich.de/record/903575/files/Liu_2021_J._Phys.%20_Conf._Ser._2116_012064.pdf |y OpenAccess |
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