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设计一个新的喷泉反应堆用于污染降解,使用先进的氧化工艺与混合技术和建模评估评估
Amir Reza Ghannayi Ghamsari1, Madjid Mohseni2, Nima Esmaeilian1
1Department of Chemical Engineering, School of Material Engineering and Advanced Processes, Amirkabir University of Technology, Tehran, 15875-4413, Iran.
概括
本研究介绍了一种有效的紫外线/H2O2喷泉系统用于废水处理,达到99.73%的甲基色降解. 与超声波 (UV/US/H2O2) 进行混合,进一步提高了净化效率,证明了水处理的新方法.
科学领域:
- 环境化学环境化学
- 化学工程是化学工程的重要组成部分.
- 水处理技术水处理技术
背景情况:
- 越来越多的水和能源危机需要能源高效的废水处理.
- 光化学分解为污染物降解提供了显著的潜力.
- 新型反应堆设计和混合化可以提高治疗效率.
研究的目的:
- 为了研究一种使用UV/H2O2进行甲基色降解的新型喷泉系统的效率.
- 探索UV/H2O2与超声波混合的协同效应 (美国).
- 使用深度神经网络和动力模型来建模降解过程.
主要方法:
- 设计了一种喷泉系统,以创建用于UV/H2O2处理的薄,高混合液膜.
- 包括流量,H2O2度,温度和紫外线强度在内的关键参数得到了优化.
- 评估了UV/US/H2O2混合工艺的提升净化.
- 深度神经网络和伪第一阶动态模型应用于实验数据.
主要成果:
- 在90分钟内,UV/H2O2工艺在最佳条件下实现了99.73%的甲基色降解.
- 通过超声波 (UV/US/H2O2) 进行混合,提高了效率,在75分钟内达到99%的净化.
- 模型显示与实验数据相匹配,验证了该过程.
- 确定了1.168的协同系数和2.65g/kWh的能量产量.
结论:
- 设计的喷泉系统和UV/H2O2过程对污染物降解非常有效.
- 通过超声波进行混合,可显著提高废水处理效率.
- 开发的模型准确地预测了降解动力学,支持过程优化.
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