摘要
针对传统污水处理厂曝气系统因溶解氧(DO)反馈控制波动大及模型预测控制(MPC)的前馈控制方式不可靠性所导致的能耗高、控制精度差、运行不稳定等问题,研发了以氧转移效率(OTE)为主控参数,结合机理模型、AI算法与专家经验的智能曝气控制系统。在苏州某污水处理厂进行的生产性试验表明,该系统实现了鼓风机电耗降低18%,去除单位耗氧污染物鼓风曝气电耗降低10%,气水比降低17.5%,吨水电耗降低20%,曝气效率(AE)提升至4.8 kg[O_(2)]/(kW·h)。与传统控制方式相比,OTE控制使各点溶解氧波动标准差降低50%以上,有效解决了纯溶解氧反馈的波动性以及常规MPC控制的不可靠性问题,证明了该系统在节能和稳定性控制方面均具有显著优势,为污水处理厂智能化升级和节能降碳提供了系统性创新解决方案。
Aiming at the problems of high energy consumption,poor control accuracy and unstable operation caused by the large fluctuation of dissolved oxygen(DO)feedback control and the unreliability of model predictive control(MPC)feedforward control in the aeration system of traditional sewage treatment plants,an intelligent aeration control system with oxygen transfer efficiency(OTE)as the main control parameter,combining mechanism models,AI algorithms and expert experience,was developed.The productive test conducted at a sewage treatment plant in Suzhou demonstrated that this system achieved a 18%reduction in the power consumption of the blower,a 10%reduction in the power consumption for treating oxygen-consuming pollutants through blow-aeration,a 17.5%decrease in the air-water ratio,a 20%reduction in the power consumption per ton of water,and an increase in the aeration efficiency(AE)to 4.8 kg[O_(2)]/(kW·h).Compared to traditional control methods,OTE-based control reduced the standard deviation of dissolved oxygen fluctuations at various points by over 50%.This effectively mitigates the volatility inherent in pure dissolved oxygen feedback control and the reliability issues associated with conventional MPC,proving the system′s significant advantages in energy-saving benefits and control stability,which provides a systematic and innovative solution for the intelligent upgrading and energy-saving/carbon reduction efforts of sewage treatment plants.
作者
丁永伟
王淦
高闯闯
王伟
胡文涛
DING Yongwei;WANG Gan;GAO Chuangchuang;WANG Wei;HU Wentao(Suzhou Drainage Co.,Ltd.,Suzhou 215000,China;Anhui PLAKeco Ecological Sci.&Tech.Co.,Ltd.,Hefei 230088,China)
出处
《工业用水与废水》
2026年第1期52-58,共7页
Industrial Water & Wastewater
基金
苏州市水利水务科技项目(2024003)。
关键词
氧转移效率
智能曝气
模型预测控制
节能降耗
污水处理
oxygen transfer efficiency
intelligent aeration
model predictive control
energy saving and consumption reduction
sewage treatment
