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使用Thiothrix和Ca.生物动力软感应. 微型细菌校准二次沉,空气和N₂O排放数字双胞胎

Vince Bakos¹, Yuge Qiu², Marta Nierychlo³

¹Department of Chemical Engineering, University of Bath, Claverton Down, Bath BA2 7AY, UK; Department of Applied Biotechnology and Food Science, Budapest University of Technology and Economics, Műegyetem rkp. 3, 1111 Budapest, Hungary.

|January 30, 2025

概括

本研究介绍了一种新的机械在线软传感器 (MOSS),用于提高水资源回收设施 (WRRF) 的气候弹性. MOSS 增强了数字双胞胎,以更好地适应冲击负载并减少温室气体排放.

科学领域:

环境工程环境工程
废水处理技术废水处理技术
适应气候变化适应气候变化

背景情况:

水资源回收设施 (WRRF) 面临着气候弹性方面的挑战,需要更好地适应冲击负荷和减少温室气体排放.
数据驱动软传感器提供高预测准确性,但缺乏可转移性,限制知识共享.
机械模型是可转移的,但通常是复杂的实施.

研究的目的:

引入一个机械在线软传感器 (MOSS),集成机械和数据驱动的方法.
开发一个用于校准二级沉箱,通风系统和N2O排放的数字双胞胎的系统.
提高WRRFs的气候弹性和运营效率.

主要方法:

通过将生物动力学模型与用于数字双胞胎校准的元模型集成,开发了MOSS.
利用离线沉柱测试和安普利康测序用于微生物分析和模型更新.
使用的多纤维社区预测因子 (Thiothrix和Ca. 微线) 用于动态校准.

主要成果:

通过使用MOSS.成功校准了二次沉箱,通风系统和N2O排放的数字双胞胎.
展示了MOSS在冲击负载条件下的早期预警能力.
使用实验室规模WRRF的实验数据验证了该方法.

结论:

在WRRF中,MOSS提供了一种可转移和准确的数字双胞胎校准方法.
机械和数据驱动方法的整合增强了气候弹性和流程优化.
这种方法有助于改善废水处理方面的知识共享和决策支持.

关键词:

活性污泥沉速度的速度.气化阿尔法因子生物动力学模型作为软传感器使用元建模进行动态校准.排放的氧化排放量.蒂奥特里克斯和卡尔. 微线索丝状细菌是细菌的细菌.

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