题名: |
A novel model-based adaptive control strategy for step-feed SBRs dealing with influent fluctuation |
正文语种: |
中文 |
作者: |
Tao Luo Min Yang Jingyi Han Peide Sun |
作者单位: |
School of Environmental Science and Engineering, Zhejiang Gongshang University, Hangzhou 310012, hina School of Environmental Science and Engineering, Zhejiang Gongshang University, Hangzhou 310012, hina;National Engineering Research enter of Urban Water Resources(Zhejiang Base), Hangzhou 310012, hina |
关键词: |
Influent fluctuation Model-based adaptive control strategy Fully coupled activated sludge model Step-feed |
摘要: |
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%. |
会议日期: |
20141113 |
会议举办地点: |
杭州 |
会议名称: |
浙江省环境科学学会2014年学术年会 |
出版日期: |
2014-11-13 |
母体文献: |
浙江省环境科学学会2014年学术年会论文集 |