摘要:
以陕西省某石化公司污水处理厂为研究对象,通过调试A/O-MBR中试系统的运行参数优化脱氮除碳处理效果,并基于活性污泥模型(ASMs)建立污水生物处理系统数学模型,对污水处理过程进行模拟研究。运行调试结果表明,优化运行参数后AO5工艺仍不能确保出水达标排放,而将原AO5工艺改为A2O4工艺使缺氧区停留时间由4 h延长至8 h后,在好氧池填料投加比20%,缺氧池100%污泥内回流和200%硝态液回流条件下,出水COD、NH4 +-N、TN分别为28.53、0.24、12.22 mg/L,满足《陕西省黄河流域污水综合排放标准》(DB 61/224—2018)中表2其他单位水污染物排放质量浓度限值标准。此外,基于ASMs模型构建的Ind. ASM-Petrochem模型可较为准确地模拟系统对COD和NH4 +-N的去除,对TN的模拟则需要进一步提升。
关键词:
A/O-MBR,
脱氮除碳,
停留时间,
填料,
Ind. ASM-Petrochem模型
Abstract:
In this paper, the sewage treatment plant of a petrochemical company in Shaanxi Province was used as the research object to optimize the effect of nitrogen and carbon removal by adjusting the operating parameters of A/O-MBR pilot system, and the mathematical model of sewage biological treatment system based on the activated sludge models(ASMs) was established to simulate the sewage treatment process. The results of operation and debugging showed that the AO5 process still could not ensure the effluent meet the standard after optimizing the operation parameters. Then the residence time of the anoxic zone was extended from 4 h to 8 h by changing the original AO5 process to A2O4 process. Under the conditions of 20% filling ratio in the aerobic tank, 100% sludge reflux in the anoxic tank, and 200% nitrate liquid reflux, effluent COD, NH4 +-N, and TN were 28.53 mg/L, 0.24 mg/L, and 12.22 mg/L, respectively, which met the concentration limit standards for other units of water pollutants in Table 2 of the Integrated Wastewater Discharge Standard of Yellow River Basin in Shaanxi Province(DB 61/224-2018). In addition, the Ind. ASM-Petrochem model based on the ASMs model could simulate the removal of COD and NH4 +-N accurately, while further improvement was needed for the simulation of TN.
Key words:
A/O-MBR,
nitrogen and carbon removal,
retention time,
filler,
Ind. ASM-Petrochem model
中图分类号:
郭春梅, 张晓玉, 王业腾, 孔繁鑫, 贾建伟, 陈进富, 赵龙. A/O-MBR工艺调试强化炼化废水脱氮除碳及模拟研究[J]. 工业水处理, 2025, 45(2): 96-103.
Chunmei GUO, Xiaoyu ZHANG, Yeteng WANG, Fanxin KONG, Jianwei JIA, Jinfu CHEN, Long ZHAO. A/O-MBR process debugging for enhancing denitrification and decarbonization of refining wastewater and simulation research[J]. Industrial Water Treatment, 2025, 45(2): 96-103.