污泥与褐煤共水热碳化的协同特性研究

doi:10.11949/0438-1157.20190072

化工学报 ›› 2019, Vol. 70 ›› Issue (8): 3132-3141.DOI: 10.11949/0438-1157.20190072

污泥与褐煤共水热碳化的协同特性研究

宋艳培^1,³(),庄修政^1,³,詹昊^2,³,王南涛^1,³,阴秀丽¹(),吴创之^1,³

1. 中国科学院广州能源研究所, 中国科学院可再生能源重点实验室, 广东省新能源和可再生能源重点实验室，广东广州 510640
2. 中国科学院广州地球化学研究所, 有机地球化学国家重点实验室, 广东省环境保护与资源利用重点实验室，广东广州 510640
3. 中国科学院大学，北京 100049

收稿日期:2019-01-25 修回日期:2019-04-18 出版日期:2019-08-05 发布日期:2019-08-05
通讯作者: 阴秀丽
作者简介:宋艳培（1994—），女，硕士研究生，<email>songyp@ms.giec.ac.cn</email>
基金资助:
国家重点研发项目(2016YFE0203300);广东省自然科学基金项目(2017B030308002);广州市科技计划项目(201803030006)

Investigation on synergistic characteristics of sludge and lignite during co-hydrothermal carbonization

Yanpei SONG^1,³(),Xiuzheng ZHUANG^1,³,Hao ZHAN^2,³,Nantao WANG^1,³,Xiuli YIN¹(),Chuangzhi WU^1,³

1. Key Laboratory of Renewable Energy, CAS, Guangdong Key Laboratory of New and Renewable Energy Research and Development, Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences, Guangzhou 510640, Guangdong, China
2. State Key Laboratory of Organic Geochemistry, Guangdong Key Laboratory of Environmental Protection and Resource Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, Guangdong, China
3. University of Chinese Academy of Sciences, Beijing 100049, China

Received:2019-01-25 Revised:2019-04-18 Online:2019-08-05 Published:2019-08-05
Contact: Xiuli YIN

摘要/Abstract

摘要：

污泥的资源化利用一直是国内外学者研究的焦点，对其进行水热提质处理后作为燃料应用是一种潜在的利用手段。本研究主要探讨城市污泥（SS）、脱墨污泥（DS）分别与褐煤（LC）以不同混合比例（3∶7、5∶5、7∶3）共水热碳化时的协同作用，并分析其固相产物（水热炭）的燃料品质。结果表明，当LC/SS、LC/DS混合比例为5∶5时，水热炭产率分别为81.08%和86.00%，并获得了最大协同系数（水热炭产率：1.69%和0.18%；有机物保留率：11.90%和2.64%；碳保留率：4.08%和0.77%）。其中，LC/SS的协同作用总是比LC/DS显著。随着LC添加量的增大，水热炭的热值和煤化程度均随之提高，不仅改善了水热炭的燃料特性，还使得燃烧过程更为稳定且充分。由此说明，通过共水热碳化预处理的方式可以制得较高品质的燃料，从而实现污泥/褐煤的有效利用。

关键词: 污泥, 褐煤, 共水热碳化, 协同作用, 燃料特性

Abstract:

The resource utilization of sludge has always been the focus of research by scholars. And their conversion into high quality solid fuels (hydrochars) via hydrothermal carbonization (HTC) is proved to be a promising potential technology. In this work, Co-HTC of sludge (sewage sludge, SS; deinking sludge, DS) and lignite (LC) was investigated to obtain a better preparation technology of sludge-derived hydrochars. The synergetic effect of mixing ratio (3∶7, 5∶5, 7∶3) on the HTC upgrading of sludge/LC mixtures was explored. And the combustion performance of hydrochars was also analyzed. The results have demonstrated that sludge/LC mixtures at a mixing ratio of 5∶5 have exhibited an optimal performance of hydrochar products. Specifically, the hydrochar yields can reach up to 81.08% and 86.00% for LC/SS and LC/DS, respectively. And high synergistic coefficients are observed in hydrochar yield (LC/SS-1.69%, LC/DS-0.18%), organics retention (LC/SS-11.90%, LC/DS-2.64%) and carbon retention (LC/SS-4.08%, LC/DS-0.77%), indicating a more remarkable synergetic effect of LC/SS than LC/DS. Besides, the higher heating value (HHV) and coalification degree of hydrochars can be enhanced by the increasing proportion of LC, which not only improves the fuel characteristics of hydrochars, but also makes it more stable and sufficient in the combustion process. These findings indicate that higher quality fuels can be obtained by Co-HTC pretreatment, thereby realizing the effective utilization of sludge/lignite.

Key words: sludge, lignite, co-hydrothermal carbonization, synergistic effects, products characterization

中图分类号:

TK 6

宋艳培, 庄修政, 詹昊, 王南涛, 阴秀丽, 吴创之. 污泥与褐煤共水热碳化的协同特性研究[J]. 化工学报, 2019, 70(8): 3132-3141.

Yanpei SONG, Xiuzheng ZHUANG, Hao ZHAN, Nantao WANG, Xiuli YIN, Chuangzhi WU. Investigation on synergistic characteristics of sludge and lignite during co-hydrothermal carbonization[J]. CIESC Journal, 2019, 70(8): 3132-3141.

图/表 9

参考文献 30

1	Saba A , Saha P , Reza M T . Co-hydrothermal carbonization of coal-biomass blend: influence of temperature on solid fuel properties[J]. Fuel Processing Technology, 2017, 167: 711-720.
2	Kambo H S , Dutta A . A comparative review of biochar and hydrochar in terms of production, physico-chemical properties and applications[J]. Renewable and Sustainable Energy Reviews, 2015, 45: 359-378.
3	Parshetti G , Liu Z , Jain A , et al . Hydrothermal carbonization of sewage sludge for energy production with coal[J]. Fuel, 2013, 111(3): 201-210.
4	Mun T Y , Tumsa T Z , Lee U , et al . Performance evaluation of co-firing various kinds of biomass with low rank coals in a 500 MWe coal-fired power plant[J]. Energy, 2016, 115: 954-962.
5	Zhuang X Z , Huang Y Q , Liu H C , et al . Relationship between physicochemical properties and dewaterability of hydrothermal sludge derived from different source[J]. Journal of Environmental Sciences, 2018, 69(7): 1-10.
6	Zhuang X Z , Zhan H , Huang Y Q , et al . Conversion of industrial biowastes to clean solid fuels via hydrothermal carbonization (HTC): upgrading mechanism in relation to coalification process and combustion behavior[J]. Bioresource Technology, 2018, 267: 17-29.
7	Liao J , Fei Y , Marshall M , et al . Hydrothermal dewatering of a Chinese lignite and properties of the solid products[J]. Fuel, 2016, 180: 473-480.
8	Wu J H , Wang J , Liu J Z , et al . Moisture removal mechanism of low-rank coal by hydrothermal dewatering: physicochemical property analysis and DFT calculation[J]. Fuel, 2017, 187: 242-249.
9	Liu J Z , Wu J H , Zhu J F , et al . Removal of oxygen functional groups in lignite by hydrothermal dewatering: an experimental and DFT study[J]. Fuel, 2016, 178: 85-92.
10	Alvarez R , Clemente C , Gomez-Limon D . The influence of nitric acid oxidation of low rank coal and its impact on coal structure [J]. Fuel, 2003, 82(15): 2007-2015.
11	Zhuang X Z , Huang Y Q , Song Y P , et al . The transformation pathways of nitrogen in sewage sludge during hydrothermal treatment[J]. Bioresource Technology, 2017, 245(Pt A): 463-470.
12	Zhang X J , Zhang L , Li A M . Hydrothermal co-carbonization of sewage sludge and pinewood sawdust for nutrient-rich hydrochar production: synergistic effects and products characterization[J]. Journal of Environmental Management, 2017, 201(2): 52-62.
13	Yao Z L , Ma X Q . Characteristics of co-hydrothermal carbonization on polyvinyl chloride wastes with bamboo[J]. Bioresource Technology, 2017, 247: 302-309.
14	王定美, 王跃强, 袁浩然, 等 . 水热炭化制备污泥生物炭的碳固定[J]. 化工学报, 2013, 64(7): 2625-2632.
	Wang D M , Wang Y Q , Yuan H R , et al . Carbon fixation of sludge biochar by hydrothermal carbonization[J]. CIESC Journal, 2013, 64(7): 2625-2632.
15	Liao Y F , Ma X Q . Thermogravimetric analysis of the co-combustion of coal and paper mill sludge[J]. Applied Energy, 2010, 87(11): 3526-3532.
16	Li F Y , Cao X D , Zhao L , et al . Effects of mineral additives on biochar formation: carbon retention, stability, and properties[J]. Environmental Science & Technology, 2014, 48(19): 11211-11217.
17	Tay J H , Chen X G , Jeyaseelan S , et al . Optimising the preparation of activated carbon from digested sewage sludge and coconut husk[J]. Chemosphere, 2001, 44(1): 45-51.
18	Seredych M , Bandosz T J . Tobacco waste/industrial sludge based desulfurization adsorbents: effect of phase interactions during pyrolysis on surface activity[J]. Environmental Science & Technology, 2007, 41(10): 3715-3721.
19	Xie C D , Liu J Y , Xie W M , et al . Quantifying thermal decomposition regimes of textile dyeing sludge, pomelo peel, and their blends[J]. Renewable Energy, 2018, 122: 55-64.
20	Xie C D , Liu J Y , Zhang X C , et al . Co-combustion thermal conversion characteristics of textile dyeing sludge and pomelo peel using TGA and artificial neural networks[J]. Applied Energy, 2018, 212: 786-795.
21	庄修政, 黄艳琴, 阴秀丽, 等 . 污泥水热处理制备清洁燃料的研究进展[J]. 化工进展, 2018, 37(1): 311-318.
	Zhuang X Z , Huang Y Q , Yin X L , et al . Research on clean solid fuel derived from sludge employing hydrothermal treatment[J]. Chemical Industry and Engineering Progress, 2018, 37(1): 311-318.
22	庄修政, 宋艳培, 詹昊, 等 .水热污泥与煤在混燃过程中的协同效应特性研究[J]. 燃料化学学报, 2018, 46(12): 1437-1446.
	Zhuang X Z , Song Y P , Zhan H , et al . Synergistic effects in co-combusting of hydrochar derived from sewage sludge with different-rank coals[J]. Journal of Fuel Chemistry and Technology, 2018, 46(12): 1437-1446.
23	Zornoza R , Moreno-Barriga E , Acosta J A , et al . Stability, nutrient availability and hydrophobicity of biochars derived from manure, crop residues, and municipal solid waste for their use as soil amendments[J]. Chemosphere, 2016, 144: 122-130.
24	Barbanera M , Cotana F , Di-Matteo U . Co-combustion performance and kinetic study of solid digestate with gasification biochar[J]. Renewable Energy, 2018, 121: 597-605.
25	He C , Giannis A , Wang J Y . Conversion of sewage sludge to clean solid fuel using hydrothermal carbonization: hydrochar fuel characteristics and combustion behavior[J]. Applied Energy, 2013, 111: 257-266.
26	He C , Wang K , Yang Y H , et al . Utilization of sewage-sludge-derived hydrochars toward efficient cocombustion with different-rank coals: effects of subcritical water conversion and blending scenarios[J]. Energy & Fuels, 2014, 28(9): 6140-6150.
27	Gil M V , Oulego P , Casal M D , et al . Mechanical durability and combustion characteristics of pellets from biomass blends[J]. Bioresource Technology, 2010, 101: 8859-8867.
28	Mursito A T , Hirajima T , Sasaki K . Upgrading and dewatering of raw tropical peat by hydrothermal treatment[J]. Fuel, 2010, 89(3): 635-641.
29	Peng C , Zhai Y B , Zhu Y , et al . Production of char from sewage sludge employing hydrothermal carbonization: char properties, combustion behavior and thermal characteristics[J]. Fuel, 2016, 176: 110-118.
30	Nonaka M , Hirajima T , Sasaki K . Upgrading of low rank coal and woody biomass mixture by hydrothermal treatment[J]. Fuel, 2011, 90(8): 2578-2584.

Sample	Proximate analysis/%(mass, db)			Ultimate analysis /%(mass,daf)					Fuel ratio	HHV / (J·g^-1)
Sample	A	VM	FC	C	H	O	N	S	Fuel ratio	HHV / (J·g^-1)
SS	56.11	37.57	6.32	48.46	8.20	34.61	7.59	1.14	0.17	9451
DS	66.02	32.65	1.33	57.45	7.18	32.19	2.59	0.59	0.04	5520
LC	6.73	48.41	44.86	65.70	5.02	27.84	0.90	0.54	0.93	24100

Sample	Proximate analysis/%(mass, db)			Ultimate analysis /%(mass,daf)					Fuel ratio	HHV / (J·g^-1)
Sample	A	VM	FC	C	H	O	N	S	Fuel ratio	HHV / (J·g^-1)
SS	56.11	37.57	6.32	48.46	8.20	34.61	7.59	1.14	0.17	9451
DS	66.02	32.65	1.33	57.45	7.18	32.19	2.59	0.59	0.04	5520
LC	6.73	48.41	44.86	65.70	5.02	27.84	0.90	0.54	0.93	24100

Sample		Proximate analysis/%(mass,db)			Ultimate analysis/%(mass,daf)					Fuel ratio
Sample		A	VM	FC	C	H	O	N	S	EV	CV	SC/%
LC/SS	L0∶S1	76.46	19.80	3.74	56.19	8.62	29.41	4.46	1.32	0.19	—	—
	L3∶S7	51.77	30.27	17.96	61.00	6.53	29.13	2.72	0.62	0.59	0.44	36.26
	L5∶S5	35.59	35.25	29.16	62.90	5.69	28.92	2.02	0.47	0.83	0.60	37.94
	L7∶S3	23.42	39.72	36.86	64.22	5.41	28.42	1.57	0.38	0.93	0.76	21.49
	L1∶S0	6.49	46.52	46.99	66.72	4.85	27.10	1.03	0.30	1.01	—	—
LC/DS	L0∶D1	70.61	25.53	3.86	59.54	7.04	32.13	0.92	0.37	0.15	—	—
	L3∶D7	50.40	33.45	16.15	62.06	5.83	30.83	0.92	0.36	0.48	0.41	18.01
	L5∶D5	37.04	36.29	26.67	63.50	5.51	29.75	0.92	0.32	0.73	0.58	26.55
	L7∶D3	24.37	40.71	34.92	64.83	5.45	28.48	0.93	0.31	0.86	0.75	13.97
	L1∶D0	6.49	46.52	46.99	66.72	4.85	27.10	1.03	0.30	1.01	—	—

Sample		Proximate analysis/%(mass,db)			Ultimate analysis/%(mass,daf)					Fuel ratio
Sample		A	VM	FC	C	H	O	N	S	EV	CV	SC/%
LC/SS	L0∶S1	76.46	19.80	3.74	56.19	8.62	29.41	4.46	1.32	0.19	—	—
	L3∶S7	51.77	30.27	17.96	61.00	6.53	29.13	2.72	0.62	0.59	0.44	36.26
	L5∶S5	35.59	35.25	29.16	62.90	5.69	28.92	2.02	0.47	0.83	0.60	37.94
	L7∶S3	23.42	39.72	36.86	64.22	5.41	28.42	1.57	0.38	0.93	0.76	21.49
	L1∶S0	6.49	46.52	46.99	66.72	4.85	27.10	1.03	0.30	1.01	—	—
LC/DS	L0∶D1	70.61	25.53	3.86	59.54	7.04	32.13	0.92	0.37	0.15	—	—
	L3∶D7	50.40	33.45	16.15	62.06	5.83	30.83	0.92	0.36	0.48	0.41	18.01
	L5∶D5	37.04	36.29	26.67	63.50	5.51	29.75	0.92	0.32	0.73	0.58	26.55
	L7∶D3	24.37	40.71	34.92	64.83	5.45	28.48	0.93	0.31	0.86	0.75	13.97
	L1∶D0	6.49	46.52	46.99	66.72	4.85	27.10	1.03	0.30	1.01	—	—

Sample	Residues /%(mass)	Characteristic temperatures /℃			(dw/dt)_max/ (%(mass)·min^-1)	(dw/dt)_mean/ (%(mass)·min^-1)	S×10⁸/ (min^-2·℃^-3)
Sample	Residues /%(mass)	T _i	T _m	T _b	(dw/dt)_max/ (%(mass)·min^-1)	(dw/dt)_mean/ (%(mass)·min^-1)	S×10⁸/ (min^-2·℃^-3)
SS	57.7	210.8	309.1	730.5	-1.81	-0.60	3.37
L0S1	76.6	222.7	313.3	711.3	-0.95	-0.34	0.92
L3S7	52.7	315.7	384.7	696.9	-5.25	-0.71	5.36
L5S5	37.5	319.7	371.1	681.1	-7.69	-0.96	10.60
L7S3	25.8	325.4	366.7	669.2	-9.74	-1.16	15.96
L1S0	9.0	333.3	364.5	662.1	-13.96	-1.44	27.32
DS	50.9	240.3	330.7	789.5	-1.57	-0.65	2.23
L0D1	60.3	292.1	338.9	772.3	-1.22	-0.53	0.99
L3D7	43.9	299.4	375.7	745.4	-3.38	-0.78	3.97
L5D5	34.0	310.2	375.0	740.4	-5.03	-0.93	6.56
L7D3	29.2	312.4	367.3	716.1	-5.87	-1.03	8.67
L1D0	9.0	333.3	364.5	662.1	-13.96	-1.44	27.32

污泥与褐煤共水热碳化的协同特性研究

Investigation on synergistic characteristics of sludge and lignite during co-hydrothermal carbonization

RichHTML

PDF (PC)

可视化

被引次数

摘要/Abstract

引用本文

使用本文

图/表 9

参考文献 30

相关文章 15

编辑推荐

Metrics

本文评价

[1]	刘春雨, 周桓宇, 马跃, 岳长涛. CaO调质含油污泥干燥特性及数学模型[J]. 化工学报, 2023, 74(7): 3018-3027.
[2]	屈园浩, 邓文义, 谢晓丹, 苏亚欣. 活性炭/石墨辅助污泥电渗脱水研究[J]. 化工学报, 2023, 74(7): 3038-3050.
[3]	张兰河, 赖青燚, 王铁铮, 关潇卓, 张明爽, 程欣, 徐小惠, 贾艳萍. H₂O₂对SBR脱氮效率和污泥性能的影响[J]. 化工学报, 2023, 74(5): 2186-2196.
[4]	陈宇豪, 陈晓平, 马吉亮, 梁财. 市政污泥回转窑焚烧气态污染物排放特性研究[J]. 化工学报, 2023, 74(5): 2170-2178.
[5]	程伟江, 汪何琦, 高翔, 李娜, 马赛男. 锂离子电池硅基负极电解液成膜添加剂的研究进展[J]. 化工学报, 2023, 74(2): 571-584.
[6]	罗欣宜, 冯超, 刘晶, 乔瑜. 污泥不同热处理工艺产物磷的浸出回收实验研究[J]. 化工学报, 2022, 73(9): 4034-4044.
[7]	沈嘉辉, 王侃宏, 郁达伟, 胡大洲, 魏源送. 游离氨调理污泥厌氧消化优化产甲烷过程与强化有机物释放[J]. 化工学报, 2022, 73(9): 4147-4155.
[8]	郝泽光, 张乾, 高增林, 张宏文, 彭泽宇, 杨凯, 梁丽彤, 黄伟. 生物质与催化裂化油浆共热解协同作用研究[J]. 化工学报, 2022, 73(9): 4070-4078.
[9]	张军, 胡升, 顾菁, 袁浩然, 陈勇. 甲醇体系电镀污泥衍生磁性多金属材料催化糠醛加氢转化[J]. 化工学报, 2022, 73(7): 2996-3006.
[10]	陈冠益, 童图军, 李瑞, 王燕杉, 颜蓓蓓, 李宁, 侯立安. 热解时间对污泥生物炭活化过硫酸盐的影响研究[J]. 化工学报, 2022, 73(5): 2111-2119.
[11]	宋超宇, 熊亚选, 张金花, 金宇贺, 药晨华, 王辉祥, 丁玉龙. 污泥焚烧炉渣基定型复合相变储热材料的制备和性能[J]. 化工学报, 2022, 73(5): 2279-2287.
[12]	杨晓阳, 王宝凤, 宋旭涛, 杨凤玲, 程芳琴. 污泥与高硫煤共水热碳化过程中硫氮形态转化规律[J]. 化工学报, 2022, 73(11): 5211-5219.
[13]	张立, 吴建华, 崔舒惠, 严锋, 孙浩, 钱飞跃. PN/A颗粒污泥-固相反硝化组合工艺的菌群功能解析[J]. 化工学报, 2022, 73(11): 5128-5137.
[14]	王润涛, 罗泽军, 王储, 朱锡锋. 生物油蒸馏残渣与废弃塑料催化共热解协同作用的研究[J]. 化工学报, 2022, 73(11): 5088-5097.
[15]	成珊, 罗睿, 田红, 王振琦, 黄经春, 乔瑜. 水热碳化温度对污泥有机氮固液相迁移转化路径影响研究[J]. 化工学报, 2022, 73(11): 5220-5229.