使用CRFSMA算法和数学模型优化一个真正的市政污水处理厂
Chunchang Lu1, Ying Chen2, Behrooz Eskandarpour3
1Chongqing Vocational Institute of Engineering, Chongqing, 402260, China.
Heliyon
|August 22, 2024
概括
生物废水处理的新数学模型使用多标准优化优化12个参数,改善了14.8%的废水质量,减少了18.83%的能源消耗. 这提高了城市卫生效率.
科学领域:
- 环境工程 环境工程
- 水处理技术 水处理技术
- 数学建模的数学建模
背景情况:
- 生物废水处理对城市卫生至关重要.
- 优化处理过程是提高效率和减少环境影响的关键.
- 现有的模型往往需要精细化,以便在现实世界中应用.
研究的目的:
- 开发,校准和验证生物废水处理的数学模型.
- 为此过程确定最有效的多标准优化 (MCO) 算法.
- 通过提高废水处理效率来提高城市卫生条件.
主要方法:
- 使用多标准优化 (MCO) 技术来评估帕雷托最佳解决方案.
- 作为性能指标的内置能源消耗,废水质量和体积.
- 在MATLAB中测试了三种算法 (CRFSMA,粒子群,NSGA-III) 在适应的无氧-无氧-有氧 (A2O) 框架上.
主要成果:
- 在三维优化中,CRFSMA算法表现出了卓越的性能.
- 废水质量提高了14.8%.
- 总 (TN),化学氧气需求 (COD),总 (TP) 和氨分别减少了0.95,2.38,0.04和0.14 mg/L.
- 总成本指数下降,总体体积下降了18.27%,能源利用率下降了18.83%.
结论:
- 使用CRFSMA算法开发的数学模型有效地优化了生物废水处理.
- 经过调整的A2O框架显示与现实世界废水数据的兼容性.
- 该研究强调了节能,减排和改善城市卫生设施的巨大潜力.
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