量化,预测和减轻在全面的部分化/亚纳莫克斯反应堆中排放的氧化排放量,处理废水
Xavier Flores-Alsina1, Anna Katrine Vangsgaard2, Nerea Uri-Carreño3
1PROSYS Research Center, Department of Chemical and Biochemical Engineering, Technical University of Denmark, Søltofts Plads Building 228A, Kgs. Lyngby 2800, Denmark.
Water research
|March 11, 2025
概括
这项研究开发了数学工具,以预测部分化 (PN) 和anammox (ANX) 反应堆的N2O排放. 调查结果显示,化剂脱化是主要的N2O来源,运营变化可以减少排放.
科学领域:
- 环境工程 环境工程
- 废水处理 废水处理
- 生物地质化学循环的过程
背景情况:
- 废水处理所产生的氧化 (N2O) 排放是一个重大的环境问题.
- 部分化 (PN) 和亚纳摩克斯 (ANX) 工艺是有效的去除方法,但可以产生N2O.
- 在PN/ANX颗粒反应堆中量化和减轻N2O排放需要先进的建模.
研究的目的:
- 开发和组装用于量化,预测和评估PN/ANX颗粒反应堆N2O减排策略的数学工具.
- 在有氧颗粒式污泥系统中分析,复制和预测操作变量.
- 确定主要的N2O生产途径和导致高排放因子的因素.
主要方法:
- 使用数据预处理方法,过程模拟模型,控制算法和关键性能指标.
- 在2023年9月至12月的两个全尺寸数据集上测试了该方法.
- 采用正常化的RMSE来验证物种和溶解氧的模型预测.
主要成果:
- 数据预处理对于降低噪声和填补差距至关重要,使流程模拟能够顺利进行.
- 该模型准确地预测了氧化状态 (NHx,NO2-,NO3-,N2O) 和溶解氧 (DO),正常化的RMSE<1.
- 化剂脱 (ND) 被确定为主要的N2O生产途径,与低ANX活性和低DO相关,导致高排放因子.
结论:
- 开发的数学框架有效量化和预测PN/ANX颗粒反应堆中的N2O排放.
- 操作参数的调整可以增强ANX活动,并将N2O排放量降低到预期水平.
- 该研究强调了废水技术的全厂评估的重要性,以及数字双胞胎在实时监控方面的潜力.
相关概念视频
Overview of Nitrogen Metabolism
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