Key factors governing alkaline pretreatment of waste activated sludge

doi:10.1016/j.cjche.2014.09.049

Chinese Journal of Chemical Engineering ›› 2015, Vol. 23 ›› Issue (5): 842-846.DOI: 10.1016/j.cjche.2014.09.049

• 能源、资源与环境技术 • 上一篇下一篇

Key factors governing alkaline pretreatment of waste activated sludge

Xianli Shi, Li Deng, Fangfang Sun, Jieyu Liang, Xu Deng

College of Life Sciences, Shenzhen Key Laboratory of Marine Bioresources and Ecology, Shenzhen University, Shenzhen 518060, China

收稿日期:2014-02-24 修回日期:2014-09-09 出版日期:2015-05-28 发布日期:2015-06-26
通讯作者: Xu Deng
基金资助:
Supported by the National Natural Science Foundation of China (51078234), Shenzhen R&D fund (JCYJ20140418193546101) and Shenzhen University R&D fund (T201203).

Key factors governing alkaline pretreatment of waste activated sludge

Xianli Shi, Li Deng, Fangfang Sun, Jieyu Liang, Xu Deng

College of Life Sciences, Shenzhen Key Laboratory of Marine Bioresources and Ecology, Shenzhen University, Shenzhen 518060, China

Received:2014-02-24 Revised:2014-09-09 Online:2015-05-28 Published:2015-06-26
Contact: Xu Deng
Supported by:
Supported by the National Natural Science Foundation of China (51078234), Shenzhen R&D fund (JCYJ20140418193546101) and Shenzhen University R&D fund (T201203).

摘要/Abstract

摘要： Alkaline pretreatment is an effective technology to disintegrate sewage sludge, where alkali dosage and sludge concentration are two important factors. pH value or alkali concentration is usually adjusted in order to determine a proper dosage of alkali. Our work has found that this is not a good strategy. A new parameter, the ratio of alkali to sludge (R_a/s), is more sensitive in controlling the alkali dosage. The sludge concentration C_s and retention time t are two other important factors to consider. The validity of these arguments is confirmed with modeling and experiments. The individual effect of R_a/s, C_s and t was studied separately. Then the combined effect of these three factors was evaluated. The sludge disintegration degree of 44.7% was achieved with the optimized factors. Furthermore, an alkaline-microwave combined pretreatment process was carried out under these optimized conditions. A high disintegration degree of 62.3% was achieved while the energy consumption of microwave was much lower than previously reported.

关键词: Waste activated sludge, Alkaline pretreatment, Waste treatment, Optimization, Biodegradation, Bioprocess design

Abstract: Alkaline pretreatment is an effective technology to disintegrate sewage sludge, where alkali dosage and sludge concentration are two important factors. pH value or alkali concentration is usually adjusted in order to determine a proper dosage of alkali. Our work has found that this is not a good strategy. A new parameter, the ratio of alkali to sludge (R_a/s), is more sensitive in controlling the alkali dosage. The sludge concentration C_s and retention time t are two other important factors to consider. The validity of these arguments is confirmed with modeling and experiments. The individual effect of R_a/s, C_s and t was studied separately. Then the combined effect of these three factors was evaluated. The sludge disintegration degree of 44.7% was achieved with the optimized factors. Furthermore, an alkaline-microwave combined pretreatment process was carried out under these optimized conditions. A high disintegration degree of 62.3% was achieved while the energy consumption of microwave was much lower than previously reported.

Key words: Waste activated sludge, Alkaline pretreatment, Waste treatment, Optimization, Biodegradation, Bioprocess design

Xianli Shi, Li Deng, Fangfang Sun, Jieyu Liang, Xu Deng. Key factors governing alkaline pretreatment of waste activated sludge[J]. Chinese Journal of Chemical Engineering, 2015, 23(5): 842-846.

Xianli Shi, Li Deng, Fangfang Sun, Jieyu Liang, Xu Deng. Key factors governing alkaline pretreatment of waste activated sludge[J]. Chin.J.Chem.Eng., 2015, 23(5): 842-846.

参考文献

[1] L.M. Shao, X.Y. Wang, H.C. Xu, P.J. He, Enhanced anaerobic digestion and sludge dewaterability by alkaline pretreatment and its mechanism, J. Environ. Sci. 24 (10) (2012) 1731-1738.

[2] A. Michinoka, J. Aron, M. Onuki, Analysis of PHA synthesis gene in activated sludge that produces PHA containing 3-hydroxyl-2-methylvalerate, Biotechnol. Bioeng. 96 (5) (2007) 871-880.

[3] W. Liu, D.H. Yang, L. Xu, C. Jia, W.J. Li, O.I. Bosire, C.M. Shen, Effect of return sludge pre-concentration on biological phosphorus removal in a novel oxidation ditch, Chinese J. Chem. Eng. 20 (4) (2012) 747-753.

[4] S.T. Cassini, M.C.E. Andrade, T.A. Abren, R. Keller, R.F. Gorclaves, Alkaline and acid hydrolytic processes in aerobic and anaerobic sludge: Effect on total EPS and factions, Water Sci. Technol. 53 (8) (2006) 51-58.

[5] R. Dewil, J. Baeyens, R. Goutvrind, The use of ultrasonics in the treatment of waste activated sludge, Chinese J. Chem. Eng. 14 (1) (2006) 105-113.

[6] R.U. Rani, S. Kaliappan, S.A. Kumar, J.R. Banu, Combined treatment of alkaline and disperser for improving solubilization and anaerobic biodegradability of dairy waste activated sludge, Bioresour. Technol. 126 (2012) 107-116.

[7] D.H. Kim, E. Jeong, S.E. Oh, H.S. Shin, Combined (alkaline+ultrasonic) pretreatment effect on sewage sludge disintegration, Water Res. 44 (2010) 3093-3100.

[8] I. Dogan, F.D. Sanin, Alkaline solubilization andmicrowave irradiation as a combined sludge disintegration and minimization method, Water Res. 43 (2009) 2139-2148.

[9] R. Navia, M. Soto, G. Vidal, Alkaline pretreatment of kraft mill sludge to improve its anaerobic digestion, Bull. Environ. Contam. Toxicol. 69 (2002) 869-876.

[10] H. Li, C.C. Li, W.J. Liu, S.X. Zou, Optimized alkaline pretreatment of sludge before anaerobic digestion, Bioresour. Technol. 123 (2012) 189-194.

[11] Q. Zhang, L. Tang, J. Zhang, Z. Mao, L. Jiang, Optimization of thermal-dilute sulfuric acid pretreatment for enhancement of methane production from cassava residues, Bioresour. Technol. 102 (2011) 3958-3965.

[12] G. Annadurai, S.M. Balan, T. Murugesan, Box-Behnken design in the development of optimized complex medium of phenol degradation using Pseudomonas putida (NICM2174), Bioprocess Eng. 21 (315) (1999) 421-428.

[13] APHA, Standards methods for the examination of water and wastewater, 20th., Amer. Pub. Heal. Assoc.2005. (Washington, D.C., USA).

[14] Y.X. Zhang, P.Y. Zhang, B.Q.Ma, H.Wu, S. Zhang, X. Xu, Sewage sludge disintegration by high-pressure homogenization: A sludge disintegration model, J. Environ. Sci. 24 (5) (2012) 814-820.

[15] V. Penaud, J.P. Delgenes, R. Moletta, Thermo-chemical pretreatment of a microbial biomass: Influence of sodium hydroxide oxidation on solubilization and anaerobic biodegradability, Enzym. Microb. Technol. 25 (3-5) (1999) 258-263.

[16] M.L. Torres, M.C.E. Llorens, Effect of alkaline pretreatment on anaerobic digestion of solid wastes, Waste Manag. 28 (2008) 2229-2234.

[17] I. Toreci, K.J. Kennedy, R.L. Droste, Effect of high temperature microwave irradiation on municipal thickened waste activated sludge solubilization, Heat Tran. Eng. 31 (9) (2010) 766-773.

[18] J. Yang, M. Ji, Y.H. Han, X.Q. Zhang, Effect of alkaline pretreatment on sludge disintegration and reduction, China Water Waste Water 23 (23) (2007) 93-96.

[19] B.Y. Xiao, J.X. Liu, Study on treatment of excess sludge under alkaline condition, Environ. Sci. 27 (2) (2006) 319-323.

[20] H. Li, Y. Jin, R.B. Mahar, Effects and model of alkaline waste activated sludge treatment, Bioresour. Technol. 99 (2008) 5140-5144.

[21] A.G. Vlyssides, P.K. Karlis, Thermal-alkaline solubilization of waste activated sludge as a pretreatment stage for anaerobic digestion, Bioresour. Technol. 91 (2004) 201-206.

[22] C.J. Chang, V.K. Tyagi, S.L. Lo, Effects of microwave and alkali induced pretreatment on sludge solubilization and subsequent aerobic digestion, Bioresour. Technol. 102 (2011) 7633-7640.

[23] Y.Y. Jin, H. Li, R.B. Mahar, Z.Y.Wang, Y.F. Nie, Combined alkaline and ultrasonic pretreatment of sludge before aerobic digestion, J. Environ. Sci. 21 (2009) 279-284.

[24] J.S. Kim, C.H. Park, T.H. Kim, M.G. Lee, S.Y. Kim, S.W. Kim, J.W. Lee, Effects of various pretreatments for enhanced anaerobic digestion with waste activated sludge, J. Biosci. Bioeng. 95 (3) (2003) 271-275.

[25] V.K. Tyagi, S.L. Lo, Enhancement in mesophilic aerobic digestion of waste activated sludge by chemically assisted thermal pretreatment method, Bioresour. Technol. 119 (2012) 105-113.

[26] J.H. Jang, J.H. Ahn, Effect of microwave pretreatment in presence of NaOH on mesophilic anaerobic digestion of thickened waste activated sludge, Bioresour. Technol. 131 (2013) 437-442.

Key factors governing alkaline pretreatment of waste activated sludge

Key factors governing alkaline pretreatment of waste activated sludge

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	Chuang Liang, Zhihao Liu, Baochang Sun, Haikui Zou, Guangwen Chu. Improvement in discharge characteristics and energy yield of ozone generation via configuration optimization of a coaxial dielectric barrier discharge reactor[J]. 中国化学工程学报, 2023, 60(8): 61-68.
[2]	Eileen Katherine Coronado-Aldana, Cindy Lizeth Ferreira-Salazar, Nubia Yineth Piñeros-Castro, Rubén Vázquez-Medina, Felipe A. Perdomo. Thermodynamic analysis, synthesis, characterization, and evaluation of 1-ethyl-3-methylimidazolium chloride: Study of its effect on pretreated rice husk[J]. 中国化学工程学报, 2023, 60(8): 143-154.
[3]	Yaran Bu, Changchun Wu, Lili Zuo, Qian Chen. The calculation and optimal allocation of transmission capacity in natural gas networks with MINLP models[J]. 中国化学工程学报, 2023, 59(7): 251-261.
[4]	Runze Chen, Yuran Chen, Xuemin Liang, Yapeng Kong, Yangyang Fan, Quan Liu, Zhenyu Yang, Feiying Tang, Johnny Muya Chabu, Maru Dessie Walle, Liqiang Wang. Oxidative exfoliation of spent cathode carbon: A two-in-one strategy for its decontamination and high-valued application[J]. 中国化学工程学报, 2023, 59(7): 262-269.
[5]	Danlei Chen, Yiqing Luo, Xigang Yuan. Cascade refrigeration system synthesis based on hybrid simulated annealing and particle swarm optimization algorithm[J]. 中国化学工程学报, 2023, 58(6): 244-255.
[6]	Haike Li, Xindong Li, Guozai Ouyang, Lang Li, Zhaohuang Zhong, Meng Cai, Wenhao Li, Wanfu Huang. Tannic acid/Fe³⁺ interlayer for preparation of high-permeability polyetherimide organic solvent nanofiltration membranes for organic solvent separation[J]. 中国化学工程学报, 2023, 57(5): 17-29.
[7]	Shanshan Mao, Tao Shen, Qing Zhao, Tong Han, Fan Ding, Xin Jin, Manglai Gao. Selective capture of silver ions from aqueous solution by series of azole derivatives-functionalized silica nanosheets[J]. 中国化学工程学报, 2023, 57(5): 319-328.
[8]	Jikai Dong, Bing Wang, Xinjie Wang, Chenxi Cao, Shikuan Chen, Wenli Du. Optimization of sensor deployment sequences for hazardous gas leakage monitoring and source term estimation[J]. 中国化学工程学报, 2023, 56(4): 169-179.
[9]	Dandan Ren, Shanshan Xiang, Yuwen Yan, Ruiying Kong, Xingchu Gong. Design and optimization of purification process of sinomenine hydrochloride[J]. 中国化学工程学报, 2023, 55(3): 63-72.
[10]	Yingjun Lin. Whole-process optimization for industrial production of glucosamine sulfate sodium chloride based on QbD concept[J]. 中国化学工程学报, 2023, 54(2): 153-161.
[11]	Shan Liu, Wenqi Zhong, Xi Chen, Li Sun, Lukuan Yang. Multiobjective economic model predictive control using utopia-tracking for the wet flue gas desulphurization system[J]. 中国化学工程学报, 2023, 54(2): 343-352.
[12]	Chao Zhang, Youzhi Liu, Weizhou Jiao, Hongyan Shen, Xigang Yuan, Shengkun Jia. An optimization method for enhancement of gas–liquid mass transfer in a bubble column reactor based on the entropy generation extremum principle[J]. 中国化学工程学报, 2023, 53(1): 83-88.
[13]	Monique Juna L. Leite, Ingrid Ramalho Marques, Mariane Carolina Proner, Pedro H.H. Araújo, Alan Ambrosi, Marco Di Luccio. Catalytically active membranes for esterification: A review[J]. 中国化学工程学报, 2023, 53(1): 142-154.
[14]	Xinqiang You, Kai Zhao, Ling Li, Ting Qiu. Ionic liquids as entrainer in extractive distillation for effectively separating 1-propanol–water azeotropic mixture[J]. 中国化学工程学报, 2022, 49(9): 224-233.
[15]	Jia Ren, Zengqiang Chen, Mingwei Sun, Qinglin Sun, Zenghui Wang. Proportion integral-type active disturbance rejection generalized predictive control for distillation process based on grey wolf optimization parameter tuning[J]. 中国化学工程学报, 2022, 49(9): 234-244.