活性污泥厌氧消化综合性机理模型在石化污水处理设施系统性优化中的应用

李晨光; 邓巧斯; 杜惟玮

doi:10.13205/j.hjgc.202506010

活性污泥厌氧消化综合性机理模型在石化污水处理设施系统性优化中的应用

doi: 10.13205/j.hjgc.202506010

1. 中国石油化工股份有限公司天津分公司, 天津 300270;
2. 四川文韬工程技术有限公司, 成都 610000

详细信息

作者简介:
李晨光（1969—），男，高级工程师，主要研究方向为工业水处理与运行优化。lichenguang.tjsh@sinopec.com

通讯作者:
杜惟玮（1981—），女，博士，高级工程师，主要研究方向为市政与工业污水污泥处理工艺过程建模优化。wdu@wentaotech.com

计量
- 文章访问数: 84
- HTML全文浏览量: 31
- PDF下载量: 1
- 被引次数: 0
出版历程
- 收稿日期: 2024-02-05
- 录用日期: 2025-04-03
- 修回日期: 2024-02-18

Application of comprehensive activated-anaerobic sludge mechanistic model in optimizing wastewater facilities at a petrochemical wastewater treatment plant

1. Sinopec Tianjin Petrochemical Company, Tianjin 300720, China;
2. Sichuan Wentao Engineering Technology Co., Ltd., Chengdu 610000, China

摘要

摘要: 石化污水由于来水复杂、处理流程长，传统的工艺优化方法往往依赖于经验、耗时长、试错成本高，且对于较大的工艺调整具有不可预测的风险。活性污泥与厌氧消化综合性机理模型在市政污水处理行业得到了较好的使用与验证，但在工业污水处理中的使用则存在一定挑战；在工业污水处理中应用模型，需要确定目标工业水质组分及其对生化反应动力学和污泥沉降性的影响。以专业污水建模软件BioWin为工具，结合数据分析，建立了能反映厌氧消化反应、纯氧曝气、表面曝气、膜反应器等污水生化处理设施当前运行现状的工艺模型。结合对工艺的深入理解，采用单因素与复合因素分析，设置了大量工艺分析情景，利用已校准的模型进行定量化评估，在目标污水处理厂实现了以节约运行成本、减少操作人员工作量为目标的系统化优化效果。
- 石化污水 /
- 工艺模拟 /
- 机理模型 /
- 活性污泥 /
- 厌氧消化 /
- 处理能力
Abstract: To handle the complicated influent， petrochemical wastewater treatment facilities are usually designed as a long process including multiple treatment stages. The traditional operation strategy of such plants mainly relies on the experiences of the operators. It usually takes considerable of time and cost to find the optimum operating conditions， and carries unpredictable risks of non-compliance. The use of mechanistic models for simulating the biological processes has been widely applied in optimizing municipal wastewater treatment plants. It’s more challenging to calibrate the mechanistic models for applications in industrial wastewater treatment. This project used BioWin， a process modeling software， to develop and calibrate a model for simulating biological processes， including anaerobic digestion， pure oxygen aeration systems， surface aeration process， and membrane reactors， at a petrochemical wastewater treatment plant in Tianjin. The calibrated model was used to conduct scenarios analyses， systematically optimizing the wastewater treatment facilities to reduce the operational cost and operator workload.
- petrochemical wastewater /
- process modeling /
- mechanistic model /
- activated sludge /
- anaerobic digestion /
- treatment capacity

HTML全文

参考文献(17)

[1]	ZHAO G H，SONG C X，LIU Y R，et al. Research progress on analysis and characterization technology of organic matters in petrochemical wastewater［J］. Environmental Protection of Chemical Industry，2023，43（5）:572-579. 赵光辉，宋春侠，刘颖荣，等. 石化废水中有机物分析表征技术研究进展［J］. 化工环保，2023，43（5）:572-579.
[2]	DUAN C R. Research progress on wastewater treatment technology in petrochemical industry［J］. Contemporary Chemical Research，2021（14）:109-110. 段聪仁. 石油化工废水处理技术研究进展［J］. 当代化工研究，2021（14）:109-110.
[3]	ZHANG X. Research on operation optimization and compliance transformation technology of wastewater treatment plant based on BioWin［D］. Beijing:Beijing University of Civil Engineering and Architecture，2017. 张行. 基于BioWin的污水厂运行优化及达标改造技术研究［D］. 北京:北京建筑大学，2017.
[4]	WANG Q，DENG Q S，WU W，et al. Operation diagnosis and carbon source optimization of Yongchuan wastewater treatment plant based on mechanism model［J］. Environmental Engineering，2022，40（6）:219-225. 王骞，邓巧斯，吴畏，等. 基于机理模型的永川污水处理厂运行诊断与碳源优化［J］. 环境工程，2022，40（6）:219-225.
[5]	HU Z R，LU H L，DU W W，et al. Application of process simulation in operation and management of wastewater treatment plants:methods and cases［C］// Annual Conference of China Water Supply and Drainage Magazine. China Water Supply and Drainage Magazine，2012. 胡志荣，卢欢亮，杜惟玮，等. 工艺模拟在污水处理厂运行和管理中的应用——方法和实例［C］// 中国给水排水杂志社年会. 中国给水排水杂志社，2012.
[6]	SHAO Q，WAN F，DU W W，et al. Enhancing biological nitrogen removal for a retrofit project using wastewater with a low C/N ratio—a model-based study［J］. Environ Sci Pollut Res，2021，28，53074-53086.
[7]	LIU T B，WANG L，WANG M H，et al. Modeling and optimization of wastewater treatment system in refining and chemical enterprises［J］. Sino-Global Energy，2020，25（2）:64-71. 刘天波，王乐，王明恒，等. 炼化企业污水处理系统建模与优化［J］. 中外能源，2020，25（2）:64-71.
[8]	LI C X，YANG Z P，RAO H K，et al. Simulation study on petrochemical wastewater treatment plant based on key parameter determination［J］. Environmental Science and Technology，2023，36（3）:1-5. 李彩霞，杨宗璞，饶辉凯，等. 基于关键参数测定的石化污水处理厂模拟研究［J］. 环境科技，2023，36（3）:1-5.
[9]	DU W W，DENG Q S，BYE C. Using process modeling to overcome the challenge of operating a biological wastewater treatment process treating fertilizer wastewater［C］// IWA Water in Industry，Nanjing，China，2021.
[10]	SUN H W，DUAN J H，SONG X N，et al. Simulation and optimization of biochemical treatment unit for refinery wastewater［J］. Environmental Engineering，2017，35（2）:19-23，63. 孙华伟，段继海，宋项宁，等. 炼油污水生化处理单元的模拟与优化［J］. 环境工程，2017，35（2）:19-23，63.
[11]	BARKER P，DOLD P. General model for biological nutrient removal activated-sludge systems:model presentation［J］. Water Environment Research，1997，69（5）:969-984
[12]	WANG K，SHEN Z，ZHANG M，et al. Research progress on treatment technology of acrylonitrile wastewater［J］. Water Treatment Technology，2014，40（2）:8-14. 王科，沈峥，张敏，等. 丙烯腈废水处理技术的研究进展［J］. 水处理技术，2014，40（2）:8-14.
[13]	HE X J. Method for deep denitrification and decarbonization of acrylonitrile wastewater by Sohio process［J］. Industrial Water Treatment，2014，34:55-59. 何小娟. Sohio法丙烯腈污水深度脱氮除碳的方法［J］，工业水处理，2014，34:55-59
[14]	ZHANG X F，ZHANG H，LUO Z. High-efficiency treatment technology of electrochemical-chemical composite oxidation for acrylonitrile wastewater［J］. Modern Chemical Industry，2018，38（6）:179-181. 张晓飞，张华，罗臻. 丙烯腈污水电化学-化学复合氧化高效处理技术［J］. 现代化工，2018，38（6）:179-181.
[15]	LI B，PAN X F，LIU T T，et al. Study on advanced treatment technology for biochemical effluent of acrylonitrile［J］. Qilu Petrochemical Technology，2018，46（2）:83-88. 李波，潘咸峰，刘婷婷，等. 丙烯腈生化出水深度处理技术研究［J］. 齐鲁石油化工，2018，46（2）:83-88.
[16]	LIU D Y，RONG H W. Identification of key toxic substances in petrochemical ethylene industrial wastewater［J］. Environmental Engineering，2012，30（4）:101-104. 刘旦宇，荣宏伟. 石化乙烯工业废水中关键毒性物质的鉴别［J］. 环境工程，2012，30（4）:101-104.
[17]	ZHANG H，LIU G Q，ZHANG X F，et al. Composition characteristics and biological toxicity of dissolved organic matter in petrochemical wastewater［J］. Environmental Protection of Chemical Industry，2023，43（4）:534-540. 张华，刘光全，张晓飞，等. 石化废水溶解性有机物的组成特征及生物毒性［J］. 化工环保，2023，43（4）:534-540.