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基于BioWin模型的AAO-MBR工艺模拟与优化研究
BioWin model-based simulation and optimization of AAO-MBR
【摘要】 针对武汉市某污水处理厂在AAO-MBR工艺运行过程中存在的脱氮除磷处理效果不稳定、除磷剂投加量大的问题,使用BioWin模拟软件对2020年与2021年两年运行数据进行校准、验证后,误差为17.66%,可用于对该工艺污水处理效果的预测。模拟结果表明二期工艺处理效果较好,各项指标均能100%达标,但生物除磷的效率较低,导致二期投药量较大。通过设置合理的好氧池溶解氧,提高硝化液回流比和增加剩余污泥排放量方法可有效改善污水处理厂AAO-MBR工艺生物脱氮除磷效果。由于水温对污水处理效果影响较大,本研究提出了水温分时段调整运行参数优化方案,BioWin模拟结果显示该方案能节省11%的PAC药剂投加。这些优化结果将为污水处理厂运行的稳定达标、节能降耗提供重要的技术和理论依据。
【Abstract】 In response to the issue of unstable nitrogen and phosphorus removal performance, as well as the excessive dosage of phosphorus removal agent in the AAO-MBR process at a wastewater treatment plant in Wuhan City, the BioWin simulation software was used to calibrate and validate the operational data from 2020 and 2021. An error of 17.66% was observed, indicating its suitability for predicting the wastewater treatment efficiency of the process. The simulation results showed that the second-stage process exhibited better treatment performance, with all indicators meeting 100% compliance. However, the efficiency of biological phosphorus removal was relatively low, leading to a higher dosage requirement in the second stage. To improve the biological denitrification and phosphorus removal efficiency of the AAO-MBR process at the treatment plant, measures were suggested, such as setting an appropriate dissolved oxygen level in the aerobic tank, increasing the nitrate recirculation ratio, and enhancing the discharge of excess sludge. Moreover, considering the significant impact of water temperature on the treatment performance, a time-based adjustment scheme for optimizing operational parameters based on water temperature was proposed in this study. Simulation results demonstrated that this scheme could save 11% of PAC dosage. These optimization outcomes provided important technical and theoretical foundations for stable compliance, energy efficiency, and cost reduction in the operation of the wastewater treatment plant.
【Key words】 BioWin simulation software; AAO-MBR process; Calibration; Mathematical simulation; Optimization;
- 【文献出处】 给水排水 ,Water & Wastewater Engineering , 编辑部邮箱 ,2023年S2期
- 【分类号】X703;TU992.3
- 【下载频次】16