Integration of soft sensors and model predictive control for denitrification at a full-scale wastewater treatment plant

IF 6.7 2区 工程技术 Q1 ENGINEERING, CHEMICAL Journal of water process engineering Pub Date : 2025-04-01 Epub Date: 2025-03-11 DOI:10.1016/j.jwpe.2025.107422
Yingying Yang , Xiaodong Wang , Yuxing Wu , Feng Li , Zakhar Maletskyi , Shanshan Chen , Mingyue Tang , Zhiwen Song
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Abstract

Biological denitrification in wastewater treatment requires efficient carbon source management to maintain optimal process performance. This study addresses the approach of integrating a soft sensor model with model predictive control (MPC) for carbon source dosing control. A mechanistic model incorporating the heterotrophic yield coefficient was developed to determine external carbon requirements, while a multi-level feedback correction loop was introduced to enhance system adaptability. The proposed system was implemented and evaluated in a full-scale wastewater treatment plant (WWTP), demonstrating a 34.3 % reduction in carbon consumption, resulting in annual cost savings of USD 266,000. The results confirm that real-time soft sensor enabled MPC control improves process efficiency while maintaining stable nitrogen removal performance. This study provides a scalable and intelligent approach to wastewater treatment automation, emphasizing that practical implementation should not be delayed by concerns over model accuracy, as even moderate prediction deviations do not hinder the overall effectiveness of real-time control.

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集成软传感器和模型预测控制的反硝化在一个全面的污水处理厂
废水处理中的生物脱氮需要有效的碳源管理来保持最佳的工艺性能。本研究解决了将软测量模型与模型预测控制(MPC)相结合的碳源加药控制方法。建立了包含异养产量系数的机制模型来确定外部碳需求,并引入了多级反馈校正回路来增强系统适应性。该系统已在一家全面的污水处理厂(WWTP)中实施和评估,显示碳消耗减少34.3%,每年节省成本26.6万美元。结果证实,实时软传感器支持的MPC控制提高了过程效率,同时保持稳定的脱氮性能。本研究为污水处理自动化提供了一种可扩展和智能的方法,强调实际实施不应因对模型准确性的担忧而延迟,因为即使是适度的预测偏差也不会妨碍实时控制的整体有效性。
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来源期刊
Journal of water process engineering
Journal of water process engineering Biochemistry, Genetics and Molecular Biology-Biotechnology
CiteScore
10.70
自引率
8.60%
发文量
846
审稿时长
24 days
期刊介绍: The Journal of Water Process Engineering aims to publish refereed, high-quality research papers with significant novelty and impact in all areas of the engineering of water and wastewater processing . Papers on advanced and novel treatment processes and technologies are particularly welcome. The Journal considers papers in areas such as nanotechnology and biotechnology applications in water, novel oxidation and separation processes, membrane processes (except those for desalination) , catalytic processes for the removal of water contaminants, sustainable processes, water reuse and recycling, water use and wastewater minimization, integrated/hybrid technology, process modeling of water treatment and novel treatment processes. Submissions on the subject of adsorbents, including standard measurements of adsorption kinetics and equilibrium will only be considered if there is a genuine case for novelty and contribution, for example highly novel, sustainable adsorbents and their use: papers on activated carbon-type materials derived from natural matter, or surfactant-modified clays and related minerals, would not fulfil this criterion. The Journal particularly welcomes contributions involving environmentally, economically and socially sustainable technology for water treatment, including those which are energy-efficient, with minimal or no chemical consumption, and capable of water recycling and reuse that minimizes the direct disposal of wastewater to the aquatic environment. Papers that describe novel ideas for solving issues related to water quality and availability are also welcome, as are those that show the transfer of techniques from other disciplines. The Journal will consider papers dealing with processes for various water matrices including drinking water (except desalination), domestic, urban and industrial wastewaters, in addition to their residues. It is expected that the journal will be of particular relevance to chemical and process engineers working in the field. The Journal welcomes Full Text papers, Short Communications, State-of-the-Art Reviews and Letters to Editors and Case Studies
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