Desulfurization and denitrification in a bubbling reactor with twist tape

doi:10.16085/j.issn.1000-6613.2018-1658

Abstract

Abstract:

Based on bubble column reactor, experimental study on the absorption of nitric oxide (NO) and sulfur dioxide (SO₂) by two mixed liquid oxidants [hydrogen peroxide (H₂O₂) and sodium persulfate (Na₂S₂O₈)] was performed. The experimental results showed that the addition of H₂O₂ can improve the desulfurization and denitrification performance of Na₂S₂O₈ solution. Considering the cost of the solution and the total efficiency, Mixed solution of 2% H₂O₂ and 10% Na₂S₂O₈ was selected as the working medium for the subsequent experiment and simulation. Based on numerical simulation method, the twist tape was introduced to the bubble column reactor. The effect of diameter, thickness and twist rate of twist tape on desulfurization and denitrification efficiency in the bubble column reactor was investigated. The numerical results showed that compared with general bubble column reactor, the twist tape could promote desulfurization and denitrification. The efficiency of desulfurization and denitrification increases with the increase of the twist tape diameter and the twist tape thickness, decreases with the increase of the twist rate of twist tape. When the twist diameter increased from 16mm to 24mm, the desulfurization and denitrification efficiency were increased by 3.88% and 3.45% respectively. When the twist tape thickness increased from 0.2mm to 1mm, the desulfurization and denitrification efficiencywere increased by 4.27% and 1.62% respectively. When the twist tape torsion increased from 0.25 to 0.75, the desulfurization and denitrification efficiency were decreased by 3.91% and 1.90% respectively.

Key words: bubble column reactor, experimental validation, numerical simulation, desulfurization, denitrification, twist tape

摘要：

在玻璃鼓泡反应器中进行Na₂S₂O₈和H₂O₂两种混合氧化剂吸收SO₂和NO的实验研究，结果表明：在Na₂S₂O₈氧化剂中加入H₂O₂可以促进脱硫脱硝，考虑溶液的成本以及系统的整体脱硫脱硝总效率，选取质量分数为2%的H₂O₂和10%的Na₂S₂O₈混合液具有较高的性价比。基于数值模拟的方法，将扭带引入鼓泡反应器中，研究扭带直径、厚度和扭率对鼓泡反应器脱硫脱硝效率的影响。数值模拟结果表明，与普通鼓泡反应器相比，加入扭带促进脱硫脱硝的效果。脱硫脱硝效率随着扭带直径和扭带厚度的增大而增大，随着扭带扭率的增大而减小，当扭带的直径从16mm增加到24mm时，系统的脱硫率和脱硝率分别增加了3.88%和3.45%；当扭带的厚度从0.2mm增加到1mm时，系统的脱硫率和脱硝率分别增加了4.27%和1.62%；当扭带的扭率从0.25增加到0.75时，系统的脱硫率和脱硝率分别降低了3.91%和1.90%。

关键词: 鼓泡反应器, 实验验证, 数值模拟, 脱硫, 脱硝, 扭带

CLC Number:

X736.3

Yuan XU, Hanzhong TAO, Dongwei ZHANG. Desulfurization and denitrification in a bubbling reactor with twist tape[J]. Chemical Industry and Engineering Progress, 2019, 38(06): 2992-3001.

许源, 陶汉中, 张栋玮. 内插扭带对鼓泡反应器脱硫脱硝效果的影响[J]. 化工进展, 2019, 38(06): 2992-3001.

Figures/Tables 15

References 27

1	BHATTACHARYA M , RAFIQ S , BHATTACHARYA S . The role of technology on the dynamics of coal consumption-economic growth: new evidence from China[J]. Applied Energy, 2015, 154: 686-695.
2	LEI Y , LI L , PAN D . Study on the relationships between coal consumption and economic growth of the six biggest coal consumption countries: with coal price as a third variable[J]. Energy Procedia, 2014, 61: 624-634.
3	NURROHIM A , SAKUGAWA H . A fuel-based inventory of NO _x and SO emissions from manufacturing industries in Hiroshima Prefecture, Japan[J]. Applied Energy, 2004, 78(4): 355-369.
4	NURROHIM A , SAKUGAWA H . Fuel-based inventory of NO _x and SO emissions from motor vehicles in the Hiroshima Prefecture, Japan[J]. Applied Energy, 2005, 80(3): 291-305.
5	SUSIANTO, PÉTRISSANS M , PÉTRISSANS A , et al . Experimental study and modelling of mass transfer during simultaneous absorption of SO and NO with chemical reaction[J]. Chemical Engineering & Processing Process Intensification， 2005, 44(10): 1075-1081.
6	李俊华，陈建军，郝吉明 . 控制大气污染化工技术的研究进展[J]. 化工进展， 2005, 24(7): 703-709.
	LI Junhua ， CHEN Jianjun ， HAO Jiming . Recent progress of air pollution control technology[J]. Chemical Industry and Engineering Progress, 2005, 24(7): 703-709.
7	陈利秋，缪天成 . 我国燃煤大气污染控制对策探讨[J]. 化工进展, 1991,10(6): 18-26.
	CHEN Liqiu ， Tiancheng MIU . Discussion on control measures of coal burning air pollution in China[J]. Chemical Industry and Engineering Progress, 1991,10(6): 18-26.
8	YANG Weiguo , WANG Jinfu , JIN Yong . Gas-liquid mass transfer in a slurry bubble column reactor under high temperature and high pressure[J]. Chinese Journal of Chemical Engineering, 2001, 9(3): 253-257.
9	张清凤，陈晓平 . 喷射鼓泡塔海水脱硫特性[J]. 化工学报, 2016, 67(4): 1572-1579.
	ZHANG Qingfen ， CHEN Xiaoping . Desulphurization properties of seawater with jet bubbling reactor[J]. Journal of Chemical Industry and Engineering（China）, 2016, 67(4): 1572-1579.
10	ZHAO Y , LIU F , GUO T X , et al . Experiments and reaction characteristics of liquid phase simultaneous removal of SO₂ and NO[J]. Science in China, 2009, 52(6): 1768-1775.
11	柏源，李忠华，薛建明，等 . 燃煤烟气H₂O₂脱硝性能影响因素的实验研究[J]. 化工进展, 2012, 31(1): 208-212.
	BAI Yuan ， LI Zhonghua ， XUE Jianming , et al . Experimental study on affecting factors for the performance of denitrification using H₂O₂ solution in coal-fired flue gas[J]. Chemical Industry and Engineering Progress, 2012, 31(1): 208-212.
12	马双忱，马京香，赵毅，等 . 紫外/过氧化氢法同时脱硫脱硝的研究[J]. 热能动力工程, 2009, 24(6): 792-795.
13	Shuangchen MA ， Jingxiang MA ， ZHAO Yi , et al . Research of ultraviolet hydrogen-peroxide method for simultaneous desulfuration and denitrification[J]. Journal of Engineering for Thermal Energy and Power, 2009, 24(6): 792-795.
14	LIU Y , ZHANG J , SHENG C , et al . Simultaneous removal of NO and SO₂ from coal-fired flue gas by UV/H₂O₂ advanced oxidation process[J]. Chemical Engineering Journal, 2010, 162(3): 1006-1011.
15	LIU Y , ZHANG J , SHENG C . Kinetic model of NO removal from SO₂-containing simulated flue gas by wet UV/H₂O₂ advanced oxidation process[J]. Chemical Engineering Journal, 2011, 168: 183-189.
16	KHAN N E , ADEWUYI Y G . Absorption and oxidation of nitric oxide (NO) by aqueous solutions of sodium persulfate in a bubble column reactor[J]. Industrial & Engineering Chemistry Research, 2010, 49(18): 8749-8760.
17	GAO X C , MA X X, KANG X , et al . Oxidative absorption of NO by sodium persulfate coupled with Fe²⁺, Fe₃O₄, and H₂O₂ [J]. Environmental Progress & Sustainable Energy, 2015, 34(1): 117-124.
18	LI G , YAND X , DAI G . CFD simulation of gas-liquid flow in bubble column[J]. Journal of Chemical Industry & Engineering, 2008, 59(8): 1958-1965.
19	CHEN P , X M P D, Sanyal J . Three dimensional simulation of bubble column flows with bubble coalescence and breakup[J]. AIChE Journal, 2010, 51(3): 696-712.
20	LEHR F , MILLIES M , MEWES D . Bubble size distributions and flow fields in bubble columns[J]. AIChE Journal, 2010, 48(11): 2426-2443.
21	刘鑫，张煜，张丽，等 . 基于气泡群相间作用力模型的加压鼓泡塔流体力学模拟[J]. 化工学报, 2017, 68(1): 87-96.
	LIU Xin ， ZHANG Yu ， ZHANG Li ，et al . Hydrodynamics simulation of pressurized bubble column based on bubble swarm interphase force models[J].CIESC Journal , 2017, 68(1): 87-96.
22	李兆奇，赵远方，管小平，等 . 含垂直列管束内构件鼓泡塔的CFD模拟[J]. 化工学报, 2015,64(3): 932-941.
	LI Zhangqi ， ZHAO Yuanfang ， GUAN Xiaoping ，et al . CFD simulation of bubble column with vertical bundle internals[J].CIESC Journal , 2015, 64(3): 932-941.
23	翟甜，郝惠娣，高利博，等 . 鼓泡塔气液两相流内部流场的流体力学特性[J]. 化工进展, 2013, 32(10): 2319-2323.
	ZHAI Tian ， HAO Huidi ， GAO Libo ，et al . Fluid mechanics behavior of gas-liquid flow in bubble columns inner flow field[J]. Chemical Industry and Engineering Progress, 2013, 32(10): 2319-2323.
24	BUWA V V , RANADE V V . Dynamics of gasliquid flow in a rectangular bubble column: experiments and single/multi-group CFD simulations[J]. Chemical Engineering Science, 2002, 57(22): 4715-4736.
25	CHAN-MOU T . Mean value and correlation problems connected with the motion of small particles suspended in a turbulent fluid[M]. Ph.d.Thesis Delft, 1947.
26	RAMKRISHNAD D , MAHONEY A W . Population balance modeling. Promise for the future [J]. Chemical Engineering Science, 2002, 57(4): 595-606.
27	HAGESAETHER L , JAKOBSEN H A , SVENDSEN H F . A model for turbulent binary breakup of dispersed fluid particles[J]. Chemical Engineering Science, 2002, 57(16): 3251-3267.

序号	网格数量	脱硫效率 /%	脱硫误差 /%	脱硝效率 /%	脱硝误差 /%
1	74.87×10³	78.08	—	17.92	—
2	115.49×10³	75.68	3.17	18.89	5.13
3	149.38×10³	73.11	3.52	19.46	2.93
4	155.07×10³	72.73	0.52	19.56	0.51
5	189.39×10³	71.56	1.63	20.33	3.79
6	240.25×10³	70.41	1.63	21.23	4.24
7	265.70×10³	69.94	0.67	21.47	1.12
8	308.43×10³	69.68	0.37	21.81	1.56
9	331.04×10³	69.54	0.20	21.99	0.82
10	361.10×10³	69.48	0.09	22.08	0.41

序号	网格数量	脱硫效率 /%	脱硫误差 /%	脱硝效率 /%	脱硝误差 /%
1	74.87×10³	78.08	—	17.92	—
2	115.49×10³	75.68	3.17	18.89	5.13
3	149.38×10³	73.11	3.52	19.46	2.93
4	155.07×10³	72.73	0.52	19.56	0.51
5	189.39×10³	71.56	1.63	20.33	3.79
6	240.25×10³	70.41	1.63	21.23	4.24
7	265.70×10³	69.94	0.67	21.47	1.12
8	308.43×10³	69.68	0.37	21.81	1.56
9	331.04×10³	69.54	0.20	21.99	0.82
10	361.10×10³	69.48	0.09	22.08	0.41

参数名称	数值/mm
反应器直径D ₁	80
反应器进口直径d ₁	10
扭带直径d ₂	16～24
反应器高度H ₁	80
扭带高度l ₂	12～60
扭带厚度t ₂	0.2～1

参数名称	数值/mm
反应器直径D ₁	80
反应器进口直径d ₁	10
扭带直径d ₂	16～24
反应器高度H ₁	80
扭带高度l ₂	12～60
扭带厚度t ₂	0.2～1

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