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基于ASM1-SMP模型的生物过程建模:混合建模方法将投影整合到潜结构 (PLS) 和人工神经网络 (ANN) 中
H Benaliouche1,2, D Abdessemed2, F Benaliouche3
1Laboratory of Environmental Process Engineering (LIPE), Faculty of Process Engineering, University Salah Boubnider Constantine 3, El Khroub, Algeria.
Preparative biochemistry & biotechnology
|May 29, 2025
概括
一个新的活性污泥模型预测可溶性微生物产品的形成和降解,改善膜生物反应器废水处理. 这种动态模型增强了对污染的控制,并促进了高效净化水的综合模拟.
科学领域:
- 环境工程 环境工程
- 生物化学工程 生物化学工程
- 水处理技术水处理技术
背景情况:
- 活性污泥模型对于废水处理过程的模拟至关重要.
- 溶性微生物产品 (SMP) 显著影响膜生物反应器 (MBR) 的性能和污染.
- 现有的模型需要改进,以准确预测SMP动态.
研究的目的:
- 开发一种包含SMP动力学的新型动态活性污泥模型.
- 预测利用相关产品 (UAP) 和生物质相关产品 (BAP) 的形成和降解.
- 促进MBR的综合模拟,以改善废水处理控制.
主要方法:
- 在ASM1和SMP动力学基础上开发了一种新的动态数学模型.
- 包括6个额外的线性微分方程ASM1-SMP质量平衡.
- 使用MATLAB和Aquasim验证模型,将模拟输出与实验数据进行比较.
主要成果:
- 对氨,酸盐/酸盐和可溶有机物质的模型预测显示平均偏差低于0.1g/L.
- 模型模拟和实验UAP/BAP测量之间的偏差在不同的污泥保留时间 (SRT) 中低于20%.
- 混合建模 (PLS+ANN) 显示了SMP的强大预测性能,R2值为0.99.
结论:
- 新的活性污泥模型准确预测SMP动力学,并改进了MBR模拟.
- 该模型提供了对污染的增强控制,并促进了综合废水处理设计.
- 混合建模方法显著提高了SMP的预测准确性.
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