A novel model-based adaptive control strategy for step-feed SBRs dealing with influent fluctuation
A novel model-based adaptive control strategy for step-feed sequence batch reactors (SBRs) was developed and compared with traditional fixed-parameters control strategy and statically optimal parameters control strategy under influent fluctuation period.The SBR was operated with automatic alteration of the operating parameters based on the numerical calculation results of fully coupled activated sludge model (FCASM).Since the influent fluctuated from one cycle to another,model-based adaptive control strategy was applied to optimize the operating parameters of the SBR accordingly.By using the model-based adaptive control strategy,the average removal efficiencies for total nitrogen (TN) and total phosphorus (TP) achieved in fluctuation tests were over 84% and 98%,respectively.Compared to traditional fixedparameters strategy,the TN removal efficiency was improved by 25.11%.
Influent fluctuation Model-based adaptive control strategy Fully coupled activated sludge model Step-feed
Tao Luo Min Yang Jingyi Han Peide Sun
School of Environmental Science and Engineering, Zhejiang Gongshang University, Hangzhou 310012, Chi School of Environmental Science and Engineering, Zhejiang Gongshang University, Hangzhou 310012, Chi
国内会议
杭州
英文
476-483
2014-11-13（万方平台首次上网日期，不代表论文的发表时间）