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生物污水处理过程中营养物质去除的控制策略设计。

Design of control strategies for nutrient removal in a biological wastewater treatment process.

机构信息

Department of Chemical Engineering, National Institute of Technology, Warangal, Telangana, 506 004, India.

出版信息

Environ Sci Pollut Res Int. 2021 Mar;28(10):12092-12106. doi: 10.1007/s11356-020-09347-2. Epub 2020 Jun 6.

DOI:10.1007/s11356-020-09347-2
PMID:32506399
Abstract

Wastewater treatment plants (WWTP) are highly non-linear operations concerned with huge disturbances in flow rate and concentration of pollutants with uncertainties in the composition of influent wastewater. In this work, the activated sludge process model with seven reactor configuration in the ASM3bioP framework is used to achieve simultaneous removal of nitrogen and phosphorus. A total of 8 control approaches are designed and implemented in the advanced simulation framework for assessment of the performance. The performance of the WWTP (effluent quality index and global plant performance) and the operational costs are also evaluated to compare the control approaches. Additionally, this paper reports a comparison among proportional integral (PI) control, fuzzy logic control, and model-based predictive control (MPC) configurations framework. The simulation outcomes indicated that all three control approaches were able to enhance the performance of WWTP when compared with open loop operation.

摘要

污水处理厂(WWTP)是高度非线性操作,涉及到流量和污染物浓度的巨大干扰,以及进水废水中成分的不确定性。在这项工作中,使用 ASM3bioP 框架中的七个反应器配置的活性污泥工艺模型来实现氮和磷的同时去除。总共设计了 8 种控制方法,并在高级仿真框架中实施,以评估性能。还评估了污水处理厂的性能(出水质量指数和全厂性能)和运营成本,以比较控制方法。此外,本文还报告了比例积分(PI)控制、模糊逻辑控制和基于模型的预测控制(MPC)配置框架之间的比较。模拟结果表明,与开环操作相比,这三种控制方法都能够提高污水处理厂的性能。

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