Process simulation and evaluation of CO2 removal from flue gas by binary compound solutions

doi:10.16085/j.issn.1000-6613.2018-1089

Abstract

Abstract:

To investigate the performance of the absorbents with high absorption capacity and strong regenerative capacity to compound absorbing CO₂ in the combustion flue gas, three binary compound solutions of methyldiethanolamine-piperazine (MDEA-PZ), potassium carbonate-piperazine (K₂CO₃-PZ) and ammonia-piperazine (NH₃-PZ) were selected. Based on the Rate-based model, the decarburization performance process simulations were conducted. The effect of three factors of absorbent, including molar flow rate, temperature and molar concentration ratio (X∶PZ), were studied by single-factor method. On this basic, the optimal process conditions were obtained by orthogonal test method. The result showed that, as the molar flow rate of the absorbent increases, the temperature of the absorbent decreases, and the PZ molar concentration in the absorbent increases, the CO₂ absorption efficiency increases. Under the optimal process conditions, the optimal absorption temperature of the K₂CO₃-PZ binary compound solution is 40°C. The optimal absorption temperature of the binary compound solution of MDEA-PZ and NH₃-PZ is 30°C. The optimal molar flow rate of the three binary compound solutions is 3.5×10⁵kmol/h, and the optimal molar concentration ratio is 60%∶40%. Under each optimal process conditions and other same conditions, the order of CO₂ absorption performance is MDEA-PZ>NH₃-PZ>K₂CO₃-PZ.

Key words: flue gas, CO₂ capture, Rate-based model, binary mixture, chemical absorption

摘要：

为探究吸收容量大、再生能力较强的吸收剂复合吸收燃烧烟气中CO₂的性能，采用N-甲基二乙醇胺-哌嗪（MDEA-PZ）、碳酸钾-哌嗪（K₂CO₃-PZ）以及氨水-哌嗪（NH₃-PZ）3种二元复合溶液，基于Rate-based模型对其进行脱碳性能过程模拟。以吸收剂的摩尔流量、温度以及摩尔分数配比（X∶PZ）3个因素进行单因素研究，并在此基础上采用正交试验的方法得出最佳工艺方案。结果表明，随着吸收剂的摩尔流量上升、温度下降以及吸收剂中PZ摩尔分数上升，CO₂吸收效率呈上升趋势。在最佳工艺方案中，K₂CO₃-PZ二元复合溶液最佳吸收温度为40℃，MDEA-PZ和NH₃-PZ两种二元复合溶液最佳吸收温度为30℃；3种二元复合溶液最佳摩尔流量为3.5×10⁵kmol/h，最佳摩尔分数配比为60%∶40%。在各自最佳工艺以及其他条件相同的情况下，吸收CO₂性能的优劣依次为MDEA-PZ、NH₃-PZ以及K₂CO₃-PZ。

关键词: 烟道气, 二氧化碳捕集, Rate-based模型, 二元混合物, 化学吸收

CLC Number:

TQ03-39

Tongbo FANG,Bingtao ZHAO,Daqi WANG,Yaxin SU. Process simulation and evaluation of CO₂ removal from flue gas by binary compound solutions[J]. Chemical Industry and Engineering Progress, 2019, 38(03): 1561-1566.

方童波,赵兵涛,王大淇,苏亚欣. 二元复合溶液脱除烟气中CO₂ 的过程模拟与评价[J]. 化工进展, 2019, 38(03): 1561-1566.

Figures/Tables 10

References 21

1	高凤玲，崔国民，黄晓璜 . CO₂的温室效应饱和度分析及其大气体积分数预测模型[J]. 上海理工大学学报，2017(4): 323-328.
	GAO Fengling , CUI Guomin , HUANG Xiaohuang . Greenhouse effect saturation analysis and the atmospheric concentration prediction model of CO₂ [J]. Journal of University of Shanghai for Science & Technology, 2017(4): 323-328.
2	何书申，赵兵涛，俞致远 . 基于胺法的旋流喷淋气液吸收烟气CO₂的性能[J]. 上海理工大学学报，2016，38(1)：25-30.
	HE Shushen , ZHAO Bingtao , YU Zhiyuan . Performance of CO₂ capture from flue gas with amines in vortex flow spraying scrubber [J]. Journal of University of Shanghai for Science & Technology, 2016, 38(1): 25-30.
3	周响球 . 燃煤电厂烟气二氧化碳捕获系统的仿真研究[D]. 重庆：重庆大学， 2008.
	ZHOU Xiangqiu . Simulation of CO₂ capture system for coal-fired power plants [D]. Chongqing: Chongqing University, 2008.
4	ARACHCHIGE U S P R , MELAAEN M C . Aspen Plus simulation of CO₂ removal from coal and gas fired power plants[J]. Energy Procedia, 2012, 23(2): 391-399.
5	YU Jingwen , WANG Shujuan , YU Hai . Experimental studies and Rate-based simulations of CO₂ absorption with aqueous ammonia and piperazine blended solutions[J]. International Journal of Greenhouse Gas Control, 2016, 50: 135-146.
6	张亚萍，刘建周，季芹芹，等 . 醇胺法捕集燃煤烟气CO₂工艺模拟及优化[J]. 化工进展，2013， 32(4)： 930-935.
	ZHANG Yaping , LIU Jianzhou , JI Qinqin , et al . Process simulation and optimization of flue gas CO₂ capture by the alkanolamine solutions [J]. Chemical Industry and Engineering Progress, 2013, 32(4): 930-935.
7	ZHANG Minkai , GUO Yincheng . A novel process for NH₃-based CO₂ capture by integrating flow-by capacitive ion separation [J]. International Journal of Greenhouse Gas Control, 2016, 54: 50-58.
8	ZHAO Bin , LIU Fangzheng , CUI Zheng , et al . Enhancing the energetic efficiency of MDEA/PZ-based CO₂ capture technology for a 650 MW power plant: Process improvement[J]. Applied Energy, 2017, 185: 362-375.
9	AROONWILAS A , VEAWAB A . Integration of CO₂ capture unit using blended MEA-AMP solution into coal-fired power plants[J]. Energy Procedia, 2009, 1(1): 4315-4321.
10	张克舫，刘中良，王远亚，等 . 化学吸收法CO₂捕集解吸能耗的分析计算[J]. 化工进展，2013，32(12)：3008-3014.
	ZHANG Kefang , LIU Zhongliang , WANG Yuanya , et al . Analysis and calculation of the desorption energy consumption of CO₂ capture process by chemical absorption method[J]. Chemical Industry and Engineering Progress, 2013, 32(12): 3008-3014.
11	DEY A, AROONWILAS A . CO₂ absorption into MEA-AMP blend: mass transfer and absorber height index[J]. Energy Procedia, 2009, 1(1): 211-215.
12	骆培成，焦真，张志炳 . 填料塔中碳酸钾/哌嗪混合吸收液脱除CO₂的体积传质系数[J]. 化工学报， 2005， 56(1): 53-57.
	LUO Peicheng , JIAO Zhen , ZHANG Zhibing . Volumetric mass transfer coefficients of dilute CO₂ absorption into mixtures of potassium carbonate and piperazine in packed column[J]. Journal of Chemical Industry & Engineering (China), 2005, 56(1): 53-57.
13	MORES P , RODRÍGUEZ N , SCENNA N , et al . CO₂ capture in power plants: minimization of the investment and operating cost of the post-combustion process using MEA aqueous solution[J]. International Journal of Greenhouse Gas Control, 2012, 10(1): 148-163.
14	ZHANG Minkai , GUO Yincheng . Rate-based modeling of absorption and regeneration for CO₂ capture by aqueous ammonia solution[J]. Applied Energy, 2013, 111(4): 142-152.
15	HUAMÁN R N E . Optimized simulation of CO₂ removal process from coal fired power plants with MEA by sensitivity analysis in Aspen plus [J]. Labor & Engenho, 2017, 11(2): 191.
16	BRAVO J L . Mass transfer in gauze packings[J]. Hydrocarbon Processing, 1985, 64(1): 91-95.
17	CHILTON T H , COLBURN A P . Mass transfer (absorption) coefficients prediction from data on heat transfer and fluid friction[J]. Ind. Eng. Chem., 1934: 26.
18	ARSHAD M , WUKOVITS W , FRIEDL A . Simulation of CO₂ absorption using the system K₂CO₃-piperazine[J]. Chemical Engineering Transactions, 2014, 39(2): 577-582.
19	BISHNOI S , ROCHELLE G T . Absorption of carbon dioxide into aqueous piperazine: reaction kinetics, mass transfer and solubility [J]. Chemical Engineering Science, 2000, 55(22): 5531-5543.
20	ALIE C , BACKHAM L , CROISET E , et al . Simulation of CO₂ capture using MEA scrubbing: a flowsheet decomposition method [J]. Energy Conversion & Management, 2005, 46(3): 475-487.
21	江文敏 . 化学吸收法捕集二氧化碳工艺的模拟及实验研究[D]. 杭州: 浙江大学， 2015.
	JIANG Wenmin . Simulation and experimental research of CO₂ chemical absorption system [D]. Hangzhou: Zhejiang University, 2015.

烟气参数	数值	吸收剂参数	数值
流量/kmol·h^－1	69738.9	流量/kmol·h^-1	250000
压力/MPa	0.1	压力/MPa	0.12
温度/℃	57.8	温度/℃	40
CO₂体积分数/%	12.8	总摩尔浓度/mol·L^-1	2
O₂体积分数/%	2.9	摩尔分数配比	90%∶10%
N₂体积分数/%	68.3	CO₂负荷/molCO₂·(mol吸附剂^-1)	0.1
H₂O体积分数/%	16

烟气参数	数值	吸收剂参数	数值
流量/kmol·h^－1	69738.9	流量/kmol·h^-1	250000
压力/MPa	0.1	压力/MPa	0.12
温度/℃	57.8	温度/℃	40
CO₂体积分数/%	12.8	总摩尔浓度/mol·L^-1	2
O₂体积分数/%	2.9	摩尔分数配比	90%∶10%
N₂体积分数/%	68.3	CO₂负荷/molCO₂·(mol吸附剂^-1)	0.1
H₂O体积分数/%	16

水平	因素
水平	温度A/℃	摩尔流量B/kmol·h^－1	摩尔分数C配比
1	30	2.0×10⁵	60%∶40%
2	40	2.5×10⁵	70%∶30%
3	50	3.0×10⁵	80%∶20%
4	60	3.5×10⁵	90%∶10%

水平	因素
水平	温度A/℃	摩尔流量B/kmol·h^－1	摩尔分数C配比
1	30	2.0×10⁵	60%∶40%
2	40	2.5×10⁵	70%∶30%
3	50	3.0×10⁵	80%∶20%
4	60	3.5×10⁵	90%∶10%

参数	K₂CO₃-PZ二元复合溶液			MDEA-PZ二元复合溶液			NH₃-PZ二元复合溶液
参数	A	B	C	A	B	C	A	B	C
K ₁	254.1	195.9	257.7	277.0	200.5	271.0	238.2	156.3	232.9
K ₂	254.1	235.5	254.3	248.9	230.9	256.3	220.8	193.4	218.1
K ₃	251.9	272.6	250.6	229.0	257.8	232.5	199.0	227.3	199.3
K ₄	250.8	306.8	248.3	219	284.8	214.2	179.4	260.4	187.1
k ₁	63.51	48.99	64.42	69.24	50.1	67.74	59.55	39.07	58.23
k ₂	63.53	58.88	63.58	62.24	57.72	64.08	55.21	48.36	54.53
k ₃	62.97	68.14	62.65	57.25	64.45	58.12	49.76	56.81	49.83
k ₄	62.7	76.7	62.07	54.75	71.19	53.54	44.84	65.11	46.77
极差	0.833	27.713	2.348	14.493	21.07	14.203	14.705	26.038	11.463

Process simulation and evaluation of CO₂ removal from flue gas by binary compound solutions

二元复合溶液脱除烟气中CO₂ 的过程模拟与评价

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