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使用活性污泥模型模拟,优化在市级大型水上污水处理厂的生物除过程

Hai-Hsuan Cheng¹, Po-Wei Huang¹, Liang-Ming Whang²

¹Department of Environmental Engineering, National Cheng Kung University, No. 1, University Road, Tainan, 701, Taiwan.

|July 26, 2024

概括

这项研究利用模拟软件优化了废水处理厂的生物去除 (BNR). 结果表明,O/A操作对于有机负载较低是最好的,而A/O适用于更高的负载,平衡成本和去除.

科学领域:

环境工程环境工程
废水处理技术废水处理技术
生物化学工程生物化学工程

背景情况:

生物除 (BNR) 对于城市废水处理至关重要.
优化BNR流程需要准确的动态和静态参数.
污水处理厂 (WWTP) 经常面临挑战,因为不同的影响特性,在实现高效的去除方面.

研究的目的:

评估和确定不同城市废水处理厂 (WWTP) 最有效的生物除 (BNR) 过程.
通过分析各种场景来确定BNR的最佳运营策略,包括影响流量,内部回收和甲醇添加.
通过使用连续水质监测进行批量实验来验证活性污泥模型 (ASM) 参数的可靠性.

主要方法:

利用基于活性污泥模型 (ASM) 的BioWin模拟软件来评估BNR过程.
进行了批量实验,以确定ASM的动力和静态参数.
用于动态模拟和模型验证的持续水质监测.
分析了各种操作场景,以确定最佳的BNR配置.

主要成果:

自营性最大特异性增长率高于之前报告的水平,归因于低的COD/N比率,突出显示了对局部参数化的需要.
动态模拟显示平均相对误差低于20%,证实了ASM参数的可靠性.
对于有机含量低的植物 (COD = 60-110 mg/L) 建议进行氧化/无氧化 (O/A) 操作.
无氧/有氧 (A/O) 操作对有机物流入量较高的植物 (COD = 200 mg/L) 可能更有利.

结论:

对于准确的BNR过程模拟,ASM的局部参数化是必不可少的.
在O/A和A/O配置之间的选择取决于影响的有机含量 (COD水平).
优化的BNR策略可以提高WWTP中的运营成本和总去除效率.

关键词:

在 A/O 过程中,这就是BIOWIN的意义.化和脱化过程中的化和脱.这是一个O/A流程.

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