智能优化揭示了废水处理中的无氧-氧-无氧过程的高效运行策略
Yufeng Xu1, Xiaonan Ding2, Fang Fang3
1Guangxi Key Laboratory of Environmental Pollution Control Theory and Technology, Guilin University of Technology, Guilin, China.
Bioresource technology
|February 2, 2026
概括
使用数据驱动方法优化废水处理的无氧-氧-无氧 (AOA) 过程提高了效率. 这种方法确定了可持续和具有成本效益的净水的最佳参数.
科学领域:
- 环境工程 环境工程
- 废水处理技术 废水处理技术
- 生物过程优化 生物过程优化
背景情况:
- 市政废水,特别是碳比较低的废水,对传统的处理过程构成挑战.
- 无氧-氧-无氧 (AOA) 工艺是一种生物方法,用于废水中去除营养.
- 优化操作参数对于最大限度地提高AOA流程的效率和有效性至关重要.
研究的目的:
- 开发一个自动化框架,以优化低C/N市政废水的连续流AOA流程.
- 确定最佳的操作参数,以提高除和整体工艺效率.
- 为了验证优化的AOA工艺对严格的废水标准的稳定性和适用性.
主要方法:
- 建立和验证用于AOA过程的活性污泥模型.
- 集成活性污泥模型与差异演变算法和超级计算用于自动优化.
- 动态建模用于验证优化操作参数的性能.
主要成果:
- 确定了最佳运行参数:液压保留时间~8h (通过过可减少到5-6.5h),污泥保留时间18-22天,以及优化反应堆体积分布,有利于无毒区.
- 优化策略的验证可靠性,证实符合严格的废水标准.
- 通过数据驱动优化,显著提高了流程效率,减少了足迹,降低了运营成本.
结论:
- 数据驱动优化为优化AOA流程提供了一条有效的途径,用于挑战废水流.
- 开发的框架为可持续的废水处理提供了一种变革性的方法,适用于其他生物工艺,如AAO.
- 优化的AOA流程参数可以提高性能,降低成本和环境效益.
关键词:
在AOAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA活性污泥活动污泥不同进化演变的差异化.低C/NN的使用率超级计算就是超级计算.更多相关视频
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