The paper is concerned with the numerical simulation of the coal gasification process in an entrained flow of high-temperature air-steam mixture. Due to the high initial temperature and the process staging, it is possible to obtain an efficient gasification process. The study aims to examine the stationary conditions of staged gasification process by using a mathematical model based on one-dimensional heat and mass transfer equations with combined submodels to describe physicochemical transformations. The simulation makes it possible to determine the boundaries of the transition from the “single-stage” to the “two-stage” gasification conditions and identify the most promising ones.
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Gasification of solid fuels for energy gas and chemicals production is one of the promising ways to improve the technological and environmental efficiency of fuel consumption [1]. Nowadays, gasification plants are successfully operating in a number of countries around the world, and new projects are being developed for their construction [2]. Among gasifiers for large power plants (more than 100 MWe), entrained flow reactors are widely used [3]. In the entrained flow conditions, reacting mixture is a suspension of fine solid particles or droplets in gaseous oxidizer.
Список литературы
1. A.M. Cormos, C. Dinca and C.C. Cormos, “Multi-fuel multi-product operation of IGCC power plants with carbon capture and storage (CCS)”, App. Therm. Eng., vol. 7, pp. 20-27, 2015. DOI: 10.1016/j.applthermaleng.2013.12.080
2. G. G. Olkhovskii, “New projects for CCGTs with coal gasification (Review)”, Therm. Eng., vol. 63, no. 10, pp. 679-689, 2016. DOI: 10.1134/S0040601516100074 EDN: XFNESB
3. I. Barnes, “Recent operating experience and improvement of commercial IGCC”, IEA Clean Coal Centre, London, UK, 2013.
4. A.M. Kler, E.A. Tyurina, A.S. Mednikov, “A plant for methanol and electricity production: Technical-economic analysis”, Energy, vol. 165B, pp. 890-899, 2018. DOI: 10.1016/j.energy.2018.09.179 EDN: UWNCAB
5. C. C. P. Pian and K. Yoshikawa, “Development of a high-temperature air-blown gasification system”, Biores. Tech., vol. 79, pp. 231-241, 2001. DOI: 10.1016/S0960-8524(01)00054-2
6. P. F. Li, J. C. Mi, B. B. Dally, F. F. Wang, L. Wang, Z. H. Liu, S. Chen and C. G. Zheng, “Progress and recent trend in MILD combustion”, Science China. Tech. Sci., vol. 54, no. 2, pp. 255-269, 2011. DOI: 10.1007/s11431-010-4257-0 EDN: ACBYUG
7. T. Hashimoto, K. Sakamoto, K. Ota, T. Iwahashi, Y. Kitagawa and K. Yokohama, “Development of coal gasification system for producing chemical synthesis source gas”, Mitsubishi Heavy Ind. Tech. Rev., vol. 47, no. 4, pp. 27-32, 2010.
8. A. Guiffrida, M. C. Romano and G. Lozza, “Thermodynamic analysis of air-blown gasification for IGCC applications”, App. Energy, vol. 88, pp. 3949-3958, 2011. DOI: 10.1016/j.apenergy.2011.04.009
9. A. F. Ryzhkov, S. I. Gordeev and T. F. Bogatova, “Selecting the process arrangement for preparing the gas turbine working fluid for an integrated gasification combined-cycle power plant”, Therm. Eng., vol. 62, no. 11, pp. 796-801, 2015. 10.1134/ S0040601515110075. DOI: 10.1134/S0040601515110075 EDN: VAFSLJ
10. S. K. Som and A. Datta, “Thermodynamic irreversibilities and exergy balance in combustion processes”, Prog. Energy Comb. Sci., vol. 34, pp. 351-376, 2008. DOI: 10.1016/j.pecs.2007.09.001
11. Q. Zhu, “High temperature syngas coolers”, IEA Clean Coal Centre, London, UK, Report CCC/257, 2015.
12. Integrated gasification combined cycle (IGCC) technologies, T. Wang and G. Stiegel, eds. Woodhead Publ., 2017. DOI: 10.1016/B978-0-08-100167-7.00001-9
13. G. Guan, “Clean coal technologies in Japan: A review”, Chinese J. Chem. Eng., vol. 25, no. 6, pp. 689-697, 2017. DOI: 10.1016/j.cjche.2016.12.008
14. Z. Huang, J. Zhang and G. Yue, “Status of domestic gasification technology in China”, Front. Energy Power Eng. China, vol. 3, no. 3, pp. 330-336, 2009. DOI: 10.1007/s11708-009-0021-1
15. S. Xu, Y. Ren, B. Wang, Y. Xu, L. Chen, X. Wang and T. Xiao, “Development of a novel 2-stage entrained flow coal dry powder gasifier”, App. Energy, vol. 113, pp. 318-323, 2014. DOI: 10.1016/j.apenergy.2013.07.045
16. A. F. Ryzhkov, T. F. Bogatova, Zeng Lingyan and P. V. Osipov, “Development of entrained-flow gasification technologies in the Asia-Pacific region (review)”, Therm. Eng., vol. 63, no. 11, pp. 791-801, 2016. DOI: 10.1134/S0040601516110069 EDN: XFLEUL
17. B. Zhang, Z. Ren and S. Shi, “Development of reduced order model for HNCERI gasifier”, in Clean Coal Technology and Sustainable Development, G. Yue and S. Li, eds., Springer, 2016, pp. 597-601. DOI: 10.1007/978-981-10-2023-0_81
18. M. Grabner and B. Meyer, “Performance and exergy analysis of the current developments in coal gasification technology”, Fuel, vol. 116, pp. 910-920, 2014. DOI: 10.1016/j.fuel.2013.02.045
19. A. Ryzhkov, T. Bogatova and S. Gordeev, “Technological solutions for an advanced IGCC plant”, Fuel, vol. 214, pp. 63-72, 2018. DOI: 10.1016/j.fuel.2017.10.099 EDN: XNTMLJ
20. A. Silaen and T. Wang, “Effect of turbulence and devolatilization models on coal gasification simulation in an entrained-flow gasifier”, Int. J. Heat Mass Trans., vol. 53, pp. 2074-2091, 2010. DOI: 10.1016/j.ijheatmasstransfer.2009.12.047
21. A. Slezak, J. M. Kuhlman, L.J. Shadle, J. Spenik and S. Shi, “CFD-simulation of entrained-flow coal gasification: Coal particle density/size fraction effects”, Powder Tech., vol. 203, pp. 98-108, 2010. DOI: 10.1016/j.powtec.2010.03.029 EDN: NWMQVZ
22. Y.-T. Luan, Y.-P. Chyou and T. Wang, “Numerical analysis of gasification performance via finite-rate model in a cross-type twostage gasifier”, Int. J. Heat Mass Trans., vol. 57, pp. 558-566, 2013. DOI: 10.1016/j.ijheatmasstransfer.2012.10.026
23. H. J. Jeong, D. K. Seo and J. Hwang, “CFD modeling for coal size effect on coal gasification in a two-stage commercial entrained-bed gasifier with an improved char gasification model”, App. Energy, vol. 123, pp. 29-36, 2014. 10.1016/j. apenergy.2014.02.026. DOI: 10.1016/j.apenergy.2014.02.026
24. A. Rakhshi and T. Witowski, “A framework for devolatilization breakdown in entrained flow gasification modeling”, Fuel, vol. 187, pp. 173-179, 2017. DOI: 10.1016/j.fuel.2016.09.036
25. M. Kumar, “Entrained flow gasification: Current status and numerical simulation”, in: Coal and biomass gasification. Recent advances and future challenges, S. De, A. K. Agarwal, V. S. Moholkar and B. Thallada, eds. Singapore: Springer, 2018. pp. 281-306. DOI: 10.1007/978-981-10-7335-9_11
26. C. Chen, M. Horio and T. Kojima, “Use of numerical modeling in the design and scale-up of entrained flow coal gasifiers”, Fuel, vol. 80, no. 10, pp. 1513-1523, 2001. DOI: 10.1016/S0016-2361(01)00013-8 EDN: ARDVKN
27. H. Liu, C. Chen and T. Kojima, “Theoretical Simulation of Entrained Flow IGCC Gasifiers: Effect of Mixture Fraction Fluctuation on Reaction Owing to Turbulent Flow”, Energy Fuels, vol. 16, no. 5, pp. 1280-1286, 2002. DOI: 10.1021/ef0200626
28. W. Vicente, S. Ochoa, J. Aguillon and E. Barrios, “An Eulerian model for the simulation of an entrained flow coal gasifier”, App. Therm. Eng., vol. 23, no. 15, pp. 1993-2008, 2003. DOI: 10.1016/S1359-4311(03)00149-2 EDN: MTLJOT
29. M. Kumar and A. F. Ghoniem, “Application of a validated gasification model to determine the impact of coal particle grinding size on carbon conversion”, Fuel, vol. 108, pp. 565-577, 2013. DOI: 10.1016/j.fuel.2013.02.009
30. H. Watanabe, K. Tanno, H. Umetsu and S. Umemoto, “Modeling and simulation of coal gasification on an entrained flow coal gasifier with a recycled CO2 injection”, Fuel, vol 142, pp. 250-259, 2015. DOI: 10.1016/j.fuel.2014.11.012
31. H. Watanabe, S. Ahn and K. Tanno, “Numerical investigation of effects of CO2 recirculation in an oxy-fuel IGCC on gasification characteristics of a two-stage entrained flow coal gasifier”, Energy, vol. 118, pp. 181-189, 2017. 10.1016/j. energy.2016.12.031. DOI: 10.1016/j.energy.2016.12.031
32. M. S. Alam, A. T. Wijayanta, K. Nakaso and J. Fukai, “Study on coal gasification with soot formation in two-stage entrainedflow gasifier”, Int. J. Energy Environ. Eng., vol. 6, pp. 255-265, 2015. DOI: 10.1007/s40095-015-0173-1
33. V. Kuznetsov, M. Chernetskiy and A. Ryzhkov “Study of the two-stage gasification process of pulverized coal at the hydrodynamic flow separation”, J. Phys. Conf. Ser., vol. 754, 2016. DOI: 10.1088/1742-6596/754/11/112007 EDN: XZTELR
34. V. Kuznetsov, M. Chernetskiy, N. Abaimov and A. Ryzhkov, “Study of the two-stage gasification process of pulverized coal with a combined countercurrent and concurrent flow system”, MATEC Web Conf., vol. 115, 2017. 10.1051/ matecconf/201711503008. DOI: 10.1051/matecconf/201711503008 EDN: UXQDLN
35. M. Sijeric and K. Hanjalic, “Application of computer simulation in a design study of a new concept of pulverized coal gasification. Part II. Model of coal reactions and discussion of results”, Combust. Sci. Tech., vol. 97, pp. 351-375, 1994. DOI: 10.1080/00102209408935385
36. H. Watanabe and M. Otaka, “Numerical simulation of coal gasification in entrained flow coal gasifier”, Fuel, vol. 85, pp. 1935- 1943, 2006. DOI: 10.1016/j.fuel.2006.02.002
37. N. A. Abaimov, E. B. Butakov, A. P. Burdukov and A. F. Ryzhkov, “Investigation of two-stage air-blown and air-steam-blown entrained-flow coal gasification”, J. Phys. Conf. Ser., vol. 899, 2017. DOI: 10.1088/1742-6596/899/9/092001 EDN: XNGZWM
38. N. A. Abaimov and A. F. Ryzhkov, “Development of advanced air-blown entrained-flow two-stage bituminous coal IGCC gasifier”, EPJ Web Conf, vol. 159, 2017. DOI: 10.1051/epjconf/201715900001 EDN: ZNAEKH
39. R. F. D. Monaghan and A. F. Ghoniem, “A dynamic reduced order model for simulating entrained flow gasifiers. Part II: Model validation and sensivity analysis”, Fuel, vol. 94, pp. 280-297, 2012. DOI: 10.1016/j.fuel.2011.08.046
40. H. Ishi, T. Hayashi, H. Tada, K. Yokohama, R. Takashima and J. Hayashi, “Critical assessment of oxy-fuel integrated coal gasification combined cycles”, App. Energy, vol. 233-234, pp. 156-169, 2019. DOI: 10.1016/j.apenergy.2018.10.021
41. I. G. Donskoy, D. A. Svishchev, V. A. Shamansky and A. N. Kozlov, “Mathematical modeling of the staged pulverized coal gasification process”, Sci. Bull. NSTU., vol. 58, no. 1, pp. 231-245, 2015. DOI: 10.17212/1814-1196-2015-1-231-245 EDN: TZGXPV
42. I. G. Donskoi, “Mathematical modeling of the reaction zone of a Shell-Prenflo gasifier with the use of the models of sequential equilibrium”. Solid Fuel Chem., vol. 50, no. 3, pp. 191-196, 2016. DOI: 10.3103/S0361521916030034 EDN: DKKUOV
43. I. G. Donskoy, V. A. Shamansky, A. N. Kozlov and D. A. Svishchev, “Coal gasification process simulations using combined kinetic-thermodynamic models in one-dimensional approximation”, Combust. Theor. Model., vol. 21, no. 3, pp. 529-559, 2017. DOI: 10.1080/13647830.2016.1259505 EDN: YFPFEL
44. S.S. Hla, D.G. Roberts and D.J. Harris, “A numerical model for understanding the behaviour of coals in an entrained-flow gasifier”, Fuel Proc. Tech., vol. 134, pp. 424-440, 2015. DOI: 10.1016/j.fuproc.2014.12.053
45. Y. Ju and C.-H. Lee, “Evaluation of the energy efficiency of the shell coal gasification process by coal type”, Energy Convers. Manag., vol. 143, pp. 123-136, 2017. DOI: 10.1016/j.enconman.2017.03.082
46. M. H. Sahraei, M. A. Duchesne, R. W. Hughes and L. A. Ricardez-Sandoval, “Dynamic reduced order modeling of an entrained-flow slagging gasifier using a new recirculation ratio correlation”, Fuel, vol. 196, pp. 520-531, 2017. 10.1016/j. fuel.2017.01.079. DOI: 10.1016/j.fuel.2017.01.079
47. B. Zhang, Z. Ren, S. Shi, S. Yan and F. Fang, “Numerical analysis of gasification and emission characteristics of a two-stage entrained flow gasifier”, Chem. Eng. Sci., vol. 152, pp. 227-238, 2016. DOI: 10.1016/j.ces.2016.06.021 EDN: WUSCSJ
48. M. Hwang, E. Song and J. Song, “One-dimensional modeling of an entrained coal gasification process using kinetic parameters”, Energies, vol. 9, 2016. DOI: 10.3390/en9020099
49. D. A. Frank-Kamenetskii, Diffusion and Heat Exchange in Chemical Kinetics, USA: Princeton Univ. Press, 2015.
50. A. V. Messerle, V. E. Messerle and A. B. Ustimenko, “Plasma thermochemical preparation for combustion of pulverized coal”, High Temp,. vol. 55, no. 3, pp. 352-360, 2017. DOI: 10.1134/S0018151X17030142 EDN: XNDWVU
51. J. Kim, H. Oh, S. Lee and Y.-S. Yoon, “Advanced One-Dimensional Entrained-Flow Gasifier Model Considering Melting Phenomenon of Ash”, Energies, vol. 11, no. 4, 2018. DOI: 10.3390/en11041015
52. D. Safronov, T. Forster, D. Schwitalla, P. Nikriyuk, S. Guhl, A. Richter and B. Meyer, “Numerical study on entrained-flow gasification performance using combined slag model and experimental characterization of slag properties”, Fuel Proc. Tech., vol. 161, pp. 62-75, 2017. DOI: 10.1016/j.fuproc.2017.03.007
53. V. I. Kovenksii, “Method of calculating the bed combustion of a solid fuel coke residue”, Theor. Found. Chem. Eng., vol. 46, no. 2, pp. 180-192, 2012. DOI: 10.1134/S004057951202005418 EDN: XMYCJJ
54. Patankar S.V. Numerical heat transfer and fluid flow, NY: Taylor&Francis, 1980.
55. A. F. Ryzhkov, N. A. Abaimov, I. G. Donskoy and D. A. Svishchev, “Modernization of Air-Blown Entrained-Flow Gasifier of Integrated Gasification Combined Cycle Plant”, Combust. Explos. Shock Waves, vol. 54, no. 3, pp. 337-344, 2018. DOI: 10.1134/S0010508218030103
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