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Chemiluminescence Characteristics of Coal-Water Slurry Impinging Flames in Bench-Scale Entrained Flow Gasifier |
SONG Xu-dong1, GUO Qing-hua2, GONG Yan2*, SU Wei-guang1, BAI Yong-hui1, YU Guang-suo1, 2* |
1. State Key Laboratory of High-Efficiency Coal Utilization and Green Chemical Engineering, School of Chemistry and Chemical Engineering, Ningxia University, Yinchuan 750021, China
2. Key Laboratory of Coal Gasification and Energy Chemical Engineering of Ministry of Education, East China University of Science and Technology, Shanghai 200237, China |
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Abstract The flame spectrum detection technology applied to the effective monitoring of gasifier can reflect the working condition of gasifier in real time and guarantee the stable operation of gasifier. Based on the bench-scale entrained flow gasifier, the different chemiluminescence characteristics at different axial positions of the impinging plane (L) of coal-water slurry (CWS) flame are studied by the spectrometer, and the reaction zones in gasifier are characterized by different radical intensity and distributions. The results show that: OH*(306.7 nm, 309.8 nm), H*2 (382 nm), CH*(314.5 nm,387 nm), Na*(589 nm), Ar(671 nm)and K*(404 nm, 768 nm, 770 nm) characteristic peaks can be detected in the range of 300~800 nm. Different particle distributions can be used to characterize the macroscopic characteristics of flame. There is also a strong background radiation in CWS gasification flame. The background radiation mainly comes from the blackbody radiation generated by coal particles at high temperature and continuous rotational radiation of 350~600 nm generated by CO*2. The strong background radiation will interfere with the determination of free radical intensity radiation, which will be deducted by the calculation. The distribution of OH* can be used to characterize the flame reaction region, while CH* only exists in a relatively narrow reaction region of -10 cm<L<10 cm. When 0.9≤O/C≤1.1,OH* and CH* peak intensity exist at the impinging plane. With the increase of O/C, the existence position of CH* peak intensity turns to upstream. The intensity ratio of OH*/CH* varies with the change of O/C at different positions. OH*/CH* reflects the change of free radical excitation path. OH*/CH* is the lowest at the impinging plane, because of chemical excitation dominates. Chemical excitation mainly occurs in the range of -10 cm<L<10 cm. The intensity of Na* near the impinging plane is relatively high, but with the increase of |L|, the Na* intensity will decrease. The Na* intensity in the upstream is higher than that in the downstream. Different from Na*,the change of K* intensity is disordered in the region of -20 cm<L<20 cm. Since the excitation mode of alkali particles (Na* and K*) is thermal excitation, the distribution of alkali particles can be used to judge the high temperature region of the flame. However, due to the low content of Na and K particles in coal, the use of Na* and K* to characterize O/C will cause a large error. Because Na* and K* is less affected by background radiation, it can be used to characterize the flame frequency and reflect the gasification effect. Na* intensity fluctuates with the impact of flames. With the increase of O/C, the frequency of Na* intensity can indicate the change of flame fluctuation with the increase of oxygen gas velocity. And the Na* strength gradually increase, indicating that the violent impact is conducive to the reactions. There is a high intensity of H*2 in the impinging zone, and the H*2 intensity can represent the reactions of volatile matter.
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Received: 2018-12-19
Accepted: 2019-04-06
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Corresponding Authors:
GONG Yan, YU Guang-suo
E-mail: gsyu@ecust.edu.cn; yangong@ecust.edu.cn
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[1] WANG Fu-chen, DAI Zheng-hua(王辅臣, 代正华). Chemical World(化学世界), 2015, 56(1): 51.
[2] Oh J. Energy, 2016, 116: 986.
[3] Rankin B A, Magnotti G, Barlow R S, et al. Combustion and Flame, 2014, 161(11): 2849.
[4] Xu H, Liu F, Sun S, et al. Combustion and Flame, 2017, 177: 67.
[5] Escudero F, Fuentes A, Demarco R, et al. Experimental Thermal and Fluid Science, 2016, 73: 101.
[6] Moon C, Sung Y, Eom S, et al. Experimental Thermal and Fluid Science, 2014, 62(1): 99.
[7] Abboud J, Schobing J, Legros G, et al. Fuel, 2017, 193: 241.
[8] Parameswaran T, Hughes R, Gogolek P, et al. Fuel, 2014, 134: 579.
[9] Sung Y, Choi G. Fuel, 2016, 174: 76.
[10] Sung Y, Lee S, Eom S, et al. Energy, 2016, 103: 61.
[11] Mosbach T, Burger V, Gunasekaran B. Proceedings of ASME Turbo Expo 2015: Turbine Technical Conference and Exposition,2015, V04BT04A002: 1.
[12] Lauer M, Sattelmayer T. Journal of Engineering for Gas Turbines and Power. 2010, 132(6): 061502.
[13] Leo M D, Saveliev A, Kennedy L A, et al. Combustion and Flame,2007, 149: 435.
[14] Yan G, Guo Q, Jie Z, et al. Industrial & Engineering Chemistry Research,2013, 52(8): 3007.
[15] Van P J, Ashman P J, Alwahabi Z T, et al. Combustion and Flame,2011, 158: 1181. |
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