玻璃纤维聚结器脱除油中乳化水

doi:10.16085/j.issn.1000-6613.2022-0292

摘要/Abstract

摘要：

随着油水分离技术的进步及新材料的开发，聚结法脱除油中乳化水的技术得以实现。本文采用亲水性玻璃纤维作为聚结元件，脱除白油中的乳化水（d₉₅=10μm）。通过实验考察聚结器中进料的表观流速（5~30m/h）、油品初始含水量（500~4000μL/L）、聚结器床层厚度（100~400mm）和玻璃纤维的孔隙率（0.80~0.95）对聚结分离效率的影响，并应用响应面法对各变量之间的协同效应进行分析，确定最佳操作条件，分析该条件下的粒级分离效率。实验结果显示，当表观流速为14m/h、初始含水量为1278μL/L、床层厚度为275mm和孔隙率为0.85时，分离效率最高，为95.18%。结果与响应面预测值（95.02%）相比，相对误差仅为0.17%，表明回归模型的可靠性高和实验的重现性较好。进出口粒径的分析表明聚结器的分离效果随水滴粒径的增加而提高，有效分离粒径>5μm。本文研究结果对采用玻璃纤维为聚结元件，分离密度差较大的成品油中乳化水的聚结器选型及操作参数设计具有实际应用价值。

关键词: 聚结, 分离, 玻璃纤维, 响应面法, 粒度分布, 乳液

Abstract:

With the advancement of oil-water separation technology and the development of new materials, the technology of removing emulsified water in oil by coalescence has been realized. In this paper, hydrophilic glass fibers were used as coalescing element to remove emulsified water (d₉₅=10μm) in white oil. The apparent flow rate (5—30m/h) of the feed in the coalescer, the initial water content of the oil (500—4000μL/L), the thickness of the coalescer bed (100—400mm) and the porosity (0.80—0.95) were investigated on the coalescence separation efficiency by experiments, and the response surface method was used to analyze the synergistic effects between the variables to determine the optimal operational conditions, and the grain dimeter separation efficiency under the conditions was analyzed. The experimental results demonstrated that when the apparent flow rate was 14m/h, the initial water content was 1278μL/L, the bed thickness was 275mm, the porosity was 0.85, and the highest separation efficiency was 95.18%. Compared with the predicted value of the response surface (95.02%), the relative error was only 0.17%, which indicated that the regression model had high reliability and good reproducibility of the experiments. The analysis of the inlet and outlet particle size showed that the separation effect of the coalescer increased with the increase of the water droplet size, and the effective separation particle size was >5μm. The research results in this paper have practical application value for the selection of coalescers and the design of operating parameters for separating emulsified water from refined oil products with large density differences by using glass fibers as coalescing elements.

Key words: coalescence, separation, glass fiber, response surface methodology, particle size distribution, emulsions

中图分类号:

TQ028.8

韩芬, 杨娜, 孙永利, 姜斌, 肖晓明, 张吕鸿. 玻璃纤维聚结器脱除油中乳化水[J]. 化工进展, 2022, 41(12): 6723-6732.

HAN Fen, YANG Na, SUN Yongli, JIANG Bin, XIAO Xiaoming, ZHANG Lyuhong. Removal of emulsified water in oil by glass fiber coalescer[J]. Chemical Industry and Engineering Progress, 2022, 41(12): 6723-6732.

图/表 20

参考文献 22

1	高昊鹏, 杨宏伟, 杨士亮, 等. 润滑油中水分的危害及其检测研究[J]. 当代化工, 2014, 43(2): 240-242.
	GAO Haopeng, YANG Hongwei, YANG Shiliang, et al. Research on hazards and detection of water in lubricant oil[J]. Contemporary Chemical Industry, 2014, 43(2): 240-242.
2	秦娟, 辛寅昌, 马德华. 微乳液的油水分离和机理探讨及应用[J]. 化工学报, 2013, 64(5): 1797-1802.
	QIN Juan, XIN Yinchang, MA Dehua. Separation mechanism and application of oil-water microemulsion[J]. CIESC Journal, 2013, 64(5): 1797-1802.
3	ZHANG Jin, ZHAO Jianguo, QU Wenshan, et al. One-step, low-cost, mussel-inspired green method to prepare superhydrophobic nanostructured surfaces having durability, efficiency, and wide applicability[J]. Journal of Colloid and Interface Science, 2020, 580: 211-222.
4	YUAN Huaikui, HUANG Zhiming, SHEN Liwei, et al. Demulsification of crude oil emulsion using carbonized cotton/silica composites[J]. Colloids and Surfaces A: Physicochemical and Engineering Aspects, 2021, 617: 126421.
5	杨玉洁, 陈雯雯, 张倩, 等. 聚结技术及其乳化油水分离性能[J]. 化工进展, 2019, 38(S1): 10-18.
	YANG Yujie, CHEN Wenwen, ZHANG Qian, et al. Coalescence technology and its application in the separation of oil and water emulsion[J]. Chemical Industry and Engineering Progress, 2019, 38(S1): 10-18.
6	GADHAVE Ashish D, Neda MEHDIZADEH S, CHASE George G. Effect of pore size and wettability of multilayered coalescing filters on water-in-ULSD coalescence[J]. Separation and Purification Technology, 2019, 221: 236-248.
7	LOBO Lloyd, IVANOV Ivan, WASAN Darsh. Dispersion coalescence: kinetic stability of creamed dispersions[J]. AIChE Journal, 1993, 39(2): 322-334.
8	HAZLETT R N. Fibrous bed coalescence of water. Role of a sulfonate surfactant in the coalescence process[J]. Industrial & Engineering Chemistry Fundamentals, 1969, 8(4): 633-640.
9	KULKARNI Prashant S, PATEL Shagufta U, CHASE George G. Layered hydrophilic/hydrophobic fiber media for water-in-oil coalescence[J]. Separation and Ourification Technology, 2012, 85: 157-164.
10	LU Zhaojin, BAI Zhishan, LUO Huiqing, et al. Effect and optimization of bed properties on water-in-oil emulsion separation[J]. Journal of Dispersion Science and Technology, 2019, 40(3): 415-424.
11	HAN Qiang, KANG Yong. Separation of water-in-oil emulsion with microfiber glass coalescing bed[J]. Journal of Dispersion Science and Technology, 2017, 38(11): 1523-1529.
12	刘亚莉, 吴山东, 戚俊清. 聚结材料对油品脱水的影响[J]. 化工进展, 2006, 25(S1): 159-162.
	LIU Yali, WU Shandong, QI Junqing. Effect of coalescence packing material on removaling water from oil[J]. Chemical Industry and Engineering Progress, 2006, 25(S1): 159-162.
13	AGARWAL Swarna, VON ARNIM Volkmar, STEGMAIER Thomas, et al. Effect of fibrous coalescer geometry and operating conditions on emulsion separation[J]. Industrial & Engineering Chemistry Research, 2013, 52(36): 13164-13170.
14	LU Hao, YANG Qiang, XU Xiao, et al. Effect of the mixed oleophilic fibrous coalescer geometry and the operating conditions on oily wastewater separation[J]. Chemical Eengineering & Technology, 2016, 39(2): 255-262.
15	Radmila M Šećerov SOKOLOVIĆ, SOKOLOVIĆ Slobodan M. Effect of the nature of different polymeric fibers on steady-state bed coalescence of an oil-in-water emulsion[J]. Industrial & Engineering Chemistry Research, 2004, 43(20): 6490-6495.
16	ZHOU Yanbo, CHEN Li, HU Xiaomeng, et al. Modified resin coalescer for oil-in-water emulsion treatment: effect of operating conditions on oil removal performance[J]. Industrial & Engineering Chemistry Research, 2009, 48(3): 1660-1664.
17	ZHANG Luhong, ZHU Taoyue, SUN Yongli, et al. Experimental study of precision-woven fabrics for oil-in-water emulsion coalescence: operating conditions and oil saturation[J]. Journal of Dispersion Science and Technology, 2015, 36(2): 182-189.
18	Radmila M Šećerov SOKOLOVIĆ, VULIC Tatjana J, SOKOLOVIĆ Slobodan M. Effect of bed length on steady-state coalescence of oil-in-water emulsion[J]. Separation and Purification Technology, 2007, 56(1): 79-84.
19	SHIN C, CHASE G G, RENEKER D H. Recycled expanded polystyrene nanofibers applied in filter media[J]. Colloids and Surfaces A: Physicochemical and Engineering Aspects, 2005, 262(1/2/3): 211-215.
20	郑国兴, 蒋明虎, 王凤山. 含聚浓度对旋流器流场分布和分离性能的影响[J]. 化工机械, 2020, 47(2): 207-210.
	ZHENG Guoxing, JIANG Minghu, WANG Fengshan. Effect of polymer concentration on the flow filed distribution and separation performance of hydrocyclone[J]. Chemical Engineering & Machinery. 2020, 47(2): 207-210.
21	孙烁, 刘其友, 陈水泉, 等. 利用响应面法对L-2菌株降解石油烃进行优化[J]. 化工进展, 2019, 38(12): 5512-5518.
	SUN Shuo, LIU Qiyou, CHEN Shuiquan, et al. Optimization for degradation of total petroleum hydrocarbon by the strain L-2 with response surface methodology[J]. Chemical Industry and Engineering Progress, 2019, 38(12): 5512-5518.
22	张圆圆, 孟永斌, 张琳, 等. 响应面法优化微波辅助水蒸气蒸馏法提取油樟精油工艺[J]. 化工进展, 2020, 39(S2): 291-299.
	ZHANG Yuanyuan, MENG Yongbin, ZHANG Lin, et al. Optimization of microwave-assisted steam distillation extraction of Cinnamomum longepaniculatum essential oil by response surface methodology[J]. Chemical Industry and Engineering Progress, 2020, 39(S2): 291-299.

液体	密度/kg·m^-3	黏度/mPa·s	表面张力/mN·m^-1
去离子水	998.2	1.05	72.3
3^#工业白油	811.2	4.28	30.2

液体	密度/kg·m^-3	黏度/mPa·s	表面张力/mN·m^-1
去离子水	998.2	1.05	72.3
3^#工业白油	811.2	4.28	30.2

变量因素	变量编码	编码水平
变量因素	变量编码	-1	0	1
表观流速/m·h^-1	A	10	20	30
初始含水量/μL·L^-1	B	500	1000	1500
床层厚度/mm	C	100	200	300
床层孔隙率	D	0.80	0.85	0.90

变量因素	变量编码	编码水平
变量因素	变量编码	-1	0	1
表观流速/m·h^-1	A	10	20	30
初始含水量/μL·L^-1	B	500	1000	1500
床层厚度/mm	C	100	200	300
床层孔隙率	D	0.80	0.85	0.90

方差来源	平方和	自由度	均方	F值	P值	显著性
模型	2728.60	14	194.91	121.59	<0.0001	显著
A	538.81	1	538.81	336.11	<0.0001
B	1388.26	1	1388.26	865.98	<0.0001
C	69.84	1	69.84	43.57	<0.0001
D	12.26	1	12.26	7.65	0.0152
AB	17.85	1	17.85	11.44	0.0049
AC	9.06	1	9.06	5.65	0.0322
AD	0.27	1	0.27	0.17	0.6875
BC	0.65	1	0.65	0.40	0.5352
BD	10.99	1	10.99	6.85	0.0202
CD	0.58	1	0.58	0.36	0.5579
A²	31.51	1	31.51	19.65	0.0006
B²	625.38	1	625.38	390.11	<0.0001
C²	0.29	1	0.29	0.18	0.6777
D²	0.22	1	0.22	0.14	0.7176
残差	22.44	14	1.60
失拟项	16.44	10	1.64	1.10	0.5066	不显著
纯误差	6.00	4	1.50
总和	2751.24	28