在废水处理中综合优化废水质量,能源使用和化学剂量,采用循环残留方向贝叶斯框架
Ke Chen1, Min Yang2, Ning Gui3
1Hunan Province Key Laboratory of Pollution Control and Resources Reuse Technology, University of South China, Hengyang, 421001, Hunan, China; School of Ecology and Environment, Faculty of Intelligent Systems, Harbin Institute of Technology (Shenzhen), Shenzhen, 518055, China.
Journal of environmental management
|February 10, 2026
概括
一个新的循环残留驱动多目标贝叶斯优化 (CRS-MOBO) 框架主动调整了废水处理控制. 这种先进的方法可以降低能源和化学成本,同时保持废水质量,优于传统方法.
科学领域:
- 环境工程 环境工程
- 过程控制 过程控制
- 优化算法 优化算法
背景情况:
- 污水处理厂 (WWTP) 面临着动态的流入,导致废水质量不稳定,能源消耗高,化学品过度使用.
- 传统的控制策略往往会对干扰产生反应,导致过度通风和过量化 (PAC) 过量服用等效率低下.
研究的目的:
- 为WWTPs引入一种新的主动控制框架,即循环残余控制多目标贝叶斯优化 (CRS-MOBO).
- 为了提高废水质量,减少化学剂量,并在动态影响条件下降低能源消耗.
主要方法:
- 开发了CRS-MOBO框架,整合了24小时影响模式的剩余周期模型.
- 与贝叶斯的多目标优化器相结合的剩余引导偏好转向用于主动的溶解氧设定点和PAC剂量调整.
- 与PID控制和NSGA-II对比的基准CRS-MOBO使用基于ASM的SUMO模拟器与真实WWTP数据.
主要成果:
- CRS-MOBO 降低了通风能源消耗量3.1% (相对于 PID) 和1.9% (相对于 NSGA-II).
- PAC化学品的成本降低了20.2% (相对于PID) 和22.9% (相对于NSGA-II).
- 所有废水质量指标均保持在法规限制内,即使在非周期性干扰的情况下也表现出强的表现.
结论:
- CRS-MOBO框架为优化WWTP运营提供了一个主动和有效的解决方案.
- 与传统和基于知识的方法相比,这种方法显著提高了效率和成本效益.
- 在管理动态影响条件和干扰方面,CRS-MOBO表现稳定可靠.
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