Influence of different start-up conditions on response characteristics of natural gas decarbonization device

doi:10.16085/j.issn.1000-6613.2021-0939

Abstract

Abstract:

Due to the influence of the gas field and the transportation environment, the field operation has been fluctuating for a long time, and the stable operation of the device is closely related to whether the response action under different working conditions is timely and effective. In order to analyze the response characteristics of the device under different operating conditions, an optimization study was carried out based on the actual operation of the natural gas decarbonization cycle experimental device built in the laboratory, and the key influencing factors were analyzed. The research results showed that in the single-factor experimental study, the influence of different intake air flow, tower internal pressure and lean liquid inlet temperature on the temperature field in the absorption tower and the response characteristics of the flash tank liquid level under start-up conditions had little difference. However, when the starting condition was at a large inlet flow, a high tower pressure, and a low or high lean liquid inlet temperature, the controller response would be delayed to a certain extent or the level fluctuation of the tower kettle was severe. Therefore, taking the response time of the bottom of the absorption tower as the evaluation index, and using the BBD design method to conduct a response surface analysis of the interaction of various factors, it was found that the absorption pressure had a very significant impact on the response time of the bottom of the tower, and the three factors interact with each other. Among them, the interaction between the absorption pressure and the temperature of the lean liquid entering the tower had a more significant impact on the target value.

Key words: natural gas decarbonization, alcohol amine, start-up conditions, response characteristics

摘要：

由于气田及输送环境影响，现场运行长期处于波动状态，而装置能否稳定运行与其在不同工况下的响应动作是否及时有效息息相关。为分析装置在不同开车工况下的响应特性，本文基于实验室建有的天然气脱碳循环实验装置实际运行情况进行优化研究，分析其中关键影响因素。研究结果表明，在单因素实验研究中，开车工况下不同进气流量、塔内压力以及贫液进塔温度对于吸收塔内温度场及闪蒸罐液位响应特性的影响差别不大。而对于开车工况处于较大的进气流量、较高的塔内压力、较低或较高的贫液进塔温度，其控制器响应会出现一定延迟或塔釜液位波动幅度较剧烈的情况。因此以吸收塔塔釜液位响应时间为评价指标，利用BBD设计法对各因素交互作用进行响应面分析，得到吸收压力对塔釜液位响应时间的影响极显著，并且在三种因素交互作用中，吸收压力与贫液进塔温度的交互作用对目标值的影响更为显著。

关键词: 天然气脱碳, 醇胺法, 开车工况, 响应特性

CLC Number:

TE644

WANG Yujuan, TANG Jianfeng, HUA Yihuai, CHEN Jing, SANG Wei, LIU Yunfei. Influence of different start-up conditions on response characteristics of natural gas decarbonization device[J]. Chemical Industry and Engineering Progress, 2022, 41(4): 1770-1780.

王玉娟, 唐建峰, 花亦怀, 陈静, 桑伟, 刘云飞. 不同开车工况对天然气脱碳装置响应特性影响[J]. 化工进展, 2022, 41(4): 1770-1780.

Figures/Tables 12

设备名称	规格与型号
吸收塔	尺寸为?38mm×4mm×750mm；材质为不锈钢304；设计压力6.3MPa
再生塔	尺寸为?57mm×3mm×750mm；材质为不锈钢304；设计压力1.6MPa
吸收塔塔釜	材质为不锈钢304；有效容积1.5L；设计压力6.3MPa
再生塔塔釜	材质为不锈钢304；有效容积2L；设计压力1.6MPa
再生塔再沸器	材质为不锈钢304；有效容积5L；设计压力1.6MPa
填料	3mm $θ$ 环散堆填料，材质316SS
塔顶冷凝器	列管冷凝器；材质为不锈钢304；换热面积0.5m²；管程设计压力6.3MPa
交叉换热器	列管换热器；材质为不锈钢304；设计压力1.6MPa
冷凝器	列管冷凝器；材质为不锈钢304；设计压力1.6MPa
冷凝器	套管冷却器；材质为不锈钢304；设计压力1.6MPa
气液分离器	材质为不锈钢304；有效容积10L；设计压力6.3MPa
闪蒸罐	材质为不锈钢304；有效容积20L；设计压力1.6MPa
MDEA储罐	材质为不锈钢304；有效容积20L；设计压力0.6MPa

设备名称	规格与型号
吸收塔	尺寸为?38mm×4mm×750mm；材质为不锈钢304；设计压力6.3MPa
再生塔	尺寸为?57mm×3mm×750mm；材质为不锈钢304；设计压力1.6MPa
吸收塔塔釜	材质为不锈钢304；有效容积1.5L；设计压力6.3MPa
再生塔塔釜	材质为不锈钢304；有效容积2L；设计压力1.6MPa
再生塔再沸器	材质为不锈钢304；有效容积5L；设计压力1.6MPa
填料	3mm $θ$ 环散堆填料，材质316SS
塔顶冷凝器	列管冷凝器；材质为不锈钢304；换热面积0.5m²；管程设计压力6.3MPa
交叉换热器	列管换热器；材质为不锈钢304；设计压力1.6MPa
冷凝器	列管冷凝器；材质为不锈钢304；设计压力1.6MPa
冷凝器	套管冷却器；材质为不锈钢304；设计压力1.6MPa
气液分离器	材质为不锈钢304；有效容积10L；设计压力6.3MPa
闪蒸罐	材质为不锈钢304；有效容积20L；设计压力1.6MPa
MDEA储罐	材质为不锈钢304；有效容积20L；设计压力0.6MPa

因素水平

原料气流量A

/L·min^-1

吸收压力B

/MPa

贫液进塔温度C

/℃

-1

7.5

实验序号	实验方案因素水平			塔釜液位响应时间 /min
实验序号	A	B	C	塔釜液位响应时间 /min
1	0	-1	1	27
2	0	-1	-1	25
3	1	0	1	28
4	-1	-1	0	18
5	1	-1	0	20
6	1	1	0	22
7	-1	0	-1	24
8	1	0	-1	26
9	-1	0	1	25
10	-1	1	0	21
11	0	1	1	29
12	0	0	0	17
13	0	1	-1	27

方差来源	平方和SS	自由度df	均方MS	F	P	显著水平
模型	177.56	9	19.73	78.91	0.0021	**
A	8.00	1	8.00	32.00	0.0109	*
B	10.12	1	10.12	40.50	0.0079	**
C	6.13	1	6.13	24.50	0.0158	*
AB	0.25	1	0.25	1.00	0.3910
AC	0.25	1	0.25	1.00	0.3910
BC	1.17	1	1.17	2.75	0.2931
A²	2.29	1	2.29	9.14	0.0566
B²	11.57	1	11.57	46.29	0.0065	**
C²	137.29	1	137.29	549.14	0.0002	**
残差	0.75	3	0.25
总和	178.31	12

References 23

1	陈赓良. 醇胺法脱硫脱碳工艺的回顾与展望[J]. 石油与天然气化工, 2003, 32(3): 134-138, 142.
	CHEN Gengliang. Review and prospect for the desulfurization and decarbonization by oxyamine process[J]. Chemical Engineering of Oil and Gas, 2003, 32(3): 134-138, 142.
2	孙姣, 孙兵, 姬春彦, 等. 天然气脱硫过程的胺液污染问题及胺液净化技术研究进展[J]. 化工进展, 2014, 33(10): 2771-2777.
	SUN Jiao, SUN Bing, JI Chunyan, et al. Introduction of amine liquid pollution in natural gas desulfurization process and purification technology[J]. Chemical Industry and Engineering Progress, 2014, 33(10): 2771-2777.
3	田文爽, 孟硕, 张海滨, 等. MDEA脱碳装置模拟与优化[J]. 天然气与石油, 2018, 36(1): 48-54.
	TIAN Wenshuang, MENG Shuo, ZHANG Haibin, et al. Optimization of CO₂ removal process using MDEA amine[J]. Natural Gas and Oil, 2018, 36(1): 48-54.
4	李小飞, 王淑娟, 陈昌和. 胺法脱碳系统流程改进及优化模拟[J]. 化工学报, 2013, 64(10): 3750-3759.
	LI Xiaofei, WANG Shujuan, CHEN Changhe. Modification of process and optimization for CO₂ capture systems using amine solution[J]. CIESC Journal, 2013, 64(10): 3750-3759.
5	张旭. 天然气净化系统工艺过程与装置配气优化研究[D]. 西安: 西北大学, 2018.
	ZHANG Xu. Study on the optimization of technology process and gas distribution in natural gas purification system[D]. Xi’an: Northwest University, 2018.
6	SUENSON M M, GEORGAKIS C, EVANS L B. Steady-state and dynamic modeling of a gas absorber-stripper system[J]. Industrial & Engineering Chemistry Fundamentals, 1985, 24(3): 288-295.
7	郑成明, 张国欣. 某活化MDEA脱碳装置能耗分析及节能潜力分析[J]. 石化技术, 2019, 26(1): 268-269.
	ZHENG Chengming, ZHANG Guoxin. Energy consumption analysis and energy saving potential analysis of an activated MDEA decarbonization device [J]. Petrochemical Industry Technology, 2019, 26(1): 268-269.
8	ROMANO M C, CHIESA P, LOZZA G. Pre-combustion CO₂ capture from natural gas power plants, with ATR and MDEA processes[J]. International Journal of Greenhouse Gas Control, 2010, 4(5): 785-797.
9	范明龙, 花亦怀, 苏清博. 高含CO₂天然气胺法脱碳工艺设计[J]. 石油与天然气化工, 2021, 50(2): 35-41.
	FAN Minglong, HUA Yihuai, SU Qingbo. Design of amine decarbonization process for high CO₂ content natural gas[J]. Chemical Engineering of Oil & Gas, 2021, 50(2): 35-41.
10	MOIOLI S, PELLEGRINI L A, ROMANO M C, et al. Pre-combustion CO₂ removal in IGCC plant by MDEA scrubbing: modifications to the process flowsheet for energy saving[J]. Energy Procedia, 2017, 114: 2136-2145.
11	张磊, 蒋洪. 高含CO₂天然气脱碳工艺中MDEA活化剂优选[J]. 石油与天然气化工, 2017, 46(4): 22-29.
	ZHANG Lei, JIANG Hong. MDEA activator optimization for decarbonization process of high CO₂-containing natural gas[J]. Chemical Engineering of Oil & Gas, 2017, 46(4): 22-29.
12	唐建峰, 李晶, 陈杰, 等. TEA+DETA混合胺液脱除天然气中H₂S性能优选[J]. 石油学报, 2015, 36(8): 1004-1011, 1017.
	TANG Jianfeng, LI Jing, CHEN Jie, et al. Optimization on the performance of H₂S removal from natural gas by TEA + DETA mixed amine solution[J]. Acta Petrolei Sinica, 2015, 36(8): 1004-1011, 1017.
13	GUTIERREZ J P, BENITEZ L A, RUIZ E L ALE, et al. A sensitivity analysis and a comparison of two simulators performance for the process of natural gas sweetening[J]. Journal of Natural Gas Science and Engineering, 2016, 31: 800-807.
14	周丹, 陈杰, 花亦怀, 等. 三乙醇胺与烯胺混合胺液脱碳性能及配比优选实验研究[J]. 化工进展, 2015, 34(1): 95-101.
	ZHOU Dan, CHEN Jie, HUA Yihuai, et al. Experimental study on performance and proportion optimization of TEA+enamine mixed solution for natural gas decarburization[J]. Chemical Industry and Engineering Progress, 2015, 34(1): 95-101.
15	唐建峰, 陈杰, 花亦怀, 等. 大型天然气净化工艺模拟实验装置的研制[J]. 实验室研究与探索, 2015, 34(1): 63-66, 117.
	TANG Jianfeng, CHEN Jie, HUA Yihuai, et al. Development of the mass imitative experimental device of natural gas purification process[J]. Research and Exploration in Laboratory, 2015, 34(1): 63-66, 117.
16	花亦怀, 郭清, 冯颉, 等. 天然气脱碳单一胺液及混合胺液解吸性能研究[J]. 天然气化工(C1化学与化工), 2014, 39(1): 47-51.
	HUA Yihuai, GUO Qing, FENG Jie, et al. Study on desorption properties of single amine and mixed amines in natural gas decarbonization process[J]. Natural Gas Chemical Industry, 2014, 39(1): 47-51.
17	姚丽蓉, 赵德银, 崔伟, 等. 基于响应面分析法的天然气脱氮工艺优化[J]. 天然气化工(C1化学与化工), 2020, 45(6): 75-81.
	YAO Lirong, ZHAO Deyin, CUI Wei, et al. Optimization of nitrogen rejection process based on response surface analysis[J]. Natural Gas Chemical Industry, 2020, 45(6): 75-81.
18	邓骥, 刘红, 陈海涛, 等. 基于RSM的天然气脱硫脱碳装置适应性建模及分析[J]. 石油与天然气化工, 2014, 43(6): 595-601.
	DENG Ji, LIU Hong, CHEN Haitao, et al. Establishment and analysis for adaptive model of natural gas desulfurization and decarburization facilities based on RSM[J]. Chemical Engineering of Oil & Gas, 2014, 43(6): 595-601.
19	陈杰, 张新军, 褚洁, 等. MDEA+MEA天然气脱碳工艺影响因素[J]. 化工学报, 2015, 66(S2): 250-256.
	CHEN Jie, ZHANG Xinjun, CHU Jie, et al. Factors affecting decarbonization of natural gas with MDEA+MEA[J]. CIESC Journal, 2015, 66(S2): 250-256.
20	诸林, 邓骥, 杨洋, 等. 基于响应面的天然气三甘醇脱水装置用能优化[J]. 化学工程, 2015, 43(2): 40-43, 48.
	ZHU Lin, DENG Ji, YANG Yang, et al. Optimization of energy utilization for natural gas dehydration facilities based on RSM[J]. Chemical Engineering (China), 2015, 43(2): 40-43, 48.
21	陈杰, 唐建峰, 金新明, 等. 醇胺法脱碳工艺参数中试实验与模拟优化[J]. 石油学报(石油加工), 2017, 33(5): 966-974.
	CHEN Jie, TANG Jianfeng, JIN Xinming, et al. The pilot scale experiment and optimization simulation of decarbonization process parameters by alcohol amine[J]. Acta Petrolei Sinica (Petroleum Processing Section), 2017, 33(5): 966-974.
22	曾树兵, 陈文峰, 郭洲, 等. MDEA混合胺法脱碳在珠海天然气液化项目中的应用[J]. 石油与天然气化工, 2007, 36(6): 485-487, 438.
	ZENG Shubing, CHEN Wenfeng, GUO Zhou, et al. The application of MDEA-based solvent for CO₂ removal in NGL project[J]. Chemical Engineering of Oil & Gas, 2007, 36(6): 485-487, 438.
23	李景辉, 叶仲斌, 吴基荣, 等. 醇胺法天然气脱硫脱碳装置有效能分析与节能措施探讨[J]. 现代化工, 2018, 38(6): 186-191.
	LI Jinghui, YE Zhongbin, WU Jirong, et al. Analysis on effective energy and study on energy saving measures for natural gas desulfurization and decarbonization plant by alcohol amine method[J]. Modern Chemical Industry, 2018, 38(6): 186-191.

[1]	LI Hong, JI Ke, Tianqinji QI, LI Xiaojing, WAN Huihui, ZHANG Yongchun, CHEN Shaoyun. Properties of CO₂ absorption-desorption based on alcohol amines solutions and their degradation [J]. Chemical Industry and Engineering Progress, 2022, 41(2): 1025-1035.
[2]	Jianfeng TANG, Yujuan WANG, Yue WANG, Yihuai HUA, Jie CHU, Wei SANG, Jing CHEN. Applicability of Aspen HYSYS for simulation of amine decarbonization regeneration process [J]. Chemical Industry and Engineering Progress, 2021, 40(2): 747-754.