拉格朗治解剂用于合无氧化消化器中的水力动力学与生动力学转换建模
Prashant Kumar1, Jeremy Z Yan1, Nikolaus Rauch2
1Room 312, Unit of Environmental Engineering, University of Innsbruck, Technikerstrasse 23b, Innsbruck, 6020, Austria.
Water research
|February 3, 2024
概括
这项研究将计算流体动力学与废水处理的无氧消化模型相结合. 新的软件工具箱通过考虑水力动力学来提高预测生物化学过程的准确性.
科学领域:
- 环境工程 环境工程
- 生物化学工程 生物化学工程
- 计算科学 计算科学
背景情况:
- 传统的无氧消化模型往往缺乏准确性,原因是废水处理中的简化水力学考虑.
- 水力动力学显著影响生化反应速率和整体消化器性能.
- 将流体动力学与生物化学模型的整合对于改善过程理解和预测至关重要.
研究的目的:
- 介绍一个新的软件工具箱,将标准无氧消化模型号与标准无氧消化模型号相结合. 1 (ADMI) 使用基于粒子的拉格朗日模拟.
- 通过结合对生化过程的水力动力学效应来提高无氧消化模型的准确性.
- 为改善废水处理的优化和预测建模提供一个工具.
主要方法:
- 开发一个C++软件工具箱,实现ADMI.
- 将ADMI解决器与基于粒子的拉格朗日计算流体动力学 (CFD) 模拟器集成.
- 综合模型的概念和数值验证,包括对3D实验室尺度消化器的案例研究.
主要成果:
- 与传统模型相比,综合方法为生物化学转化过程提供了更多的洞察力.
- 该软件工具箱成功地将CFD模拟与ADMI连接起来,并考虑了水力动力学影响.
- 案例研究结果证明了解决者在现实的3D消化器场景中的能力,比标准ADMI更准确.
结论:
- 开发的综合方法为模拟废水处理中的无氧消化提供了更准确和更有洞察力的方法.
- 软件工具箱是运营商和设计师用于流程优化和预测建模的宝贵工具.
- 考虑水力动力学对于提高无氧消化模拟的可靠性至关重要.
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