评估一种适应性最佳控制方法的通用性,以优化膜过系统
Aymen Chaaben1,2, Fatma Ellouze3, Nihel Ben Amar4
1Laboratory of Environmental Biotechnology (LBE), National Research Institute for Agriculture, Food and Environment (INRAE), University of Montpellier, 34000 Montpellier, France.
Membranes
|June 25, 2025
概括
本研究介绍了膜过系统的适应性最佳控制 (AOC) 策略. 该AOC优化过和反冲循环,显著减少能源消耗和延长膜寿命.
科学领域:
- 环境工程 环境工程
- 化学工程是化学工程的重要组成部分.
- 过程控制 过程控制
背景情况:
- 膜过系统对于水处理和分离过程至关重要.
- 污染和能源消耗是膜系统中的重大运行挑战.
- 现有的控制策略往往缺乏适应动态条件的适应性.
研究的目的:
- 开发和评估膜过的适应性最佳控制 (AOC) 策略.
- 通过动态调节过和反冲循环来优化系统性能.
- 为了减少能源消耗和减轻膜污染.
主要方法:
- 采用了一种专注于蛋糕层形成的恒定流量模型.
- 开发了一个自适应最佳控制 (AOC) 算法,以动态调整过 (F) 和反冲 (BW) 时间比.
- 该策略在不同的干扰条件下在微过 (MF) 和超过 (UF) 系统上进行了测试.
主要成果:
- 该AOC战略有效地将能源消耗降低了7%至30%.
- 由于高效的透使用,观察到膜寿命的显著延长.
- 控制行为主要受到混合液体悬浮固体 (MLSSs) 的波动的影响.
结论:
- AOC策略是优化膜过操作的强大有效方法.
- 对系统干扰,特别是MLSS波动的实时适应能力是一个关键优势.
- 这种方法可以节省大量的能量,并提高了与固定时间控制模式相比,膜的耐用性.
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