污水处理过程的多目标优化

发布时间：2018-01-14 05:34

本文关键词：污水处理过程的多目标优化　出处：《西安交通大学学报》2017年03期 　论文类型：期刊论文

【摘要】：为了在保证污水处理厂出水质量达标、控制日常运营成本的同时尽量减少温室气体(GHG)的排放,将温室气体的排放纳入了污水处理的性能评价范畴,并与出水质量(EQI)、操作成本指数(OCI)等传统性能评价指标构成了污水处理过程的多目标优化问题。为研究此性能指标的多目标优化问题,构建了简化的污水处理仿真平台BSM2-e,此平台包括初沉池、活性污泥反应器、二次澄清池和浓缩单元。针对多目标优化问题的求解,采用多目标进化算法NSGA-II对该算法的精英选择策略做了改进,算法在拥挤距离选择的基础上增加了筛选步骤,以改善算法的分布性,将该算法应用于BSM2-e多目标优化问题,取得了较好的仿真结果。优化结果表明,GHG排放指标与EQI有冲突,提高出水质量可增加温室气体的排放,而GHG排放指标与OCI无冲突,在不增加操作成本的情况下可有效降低温室气体的排放。
[Abstract]:In order to ensure the effluent quality of sewage treatment plant meet the standard and control the daily operating cost while reducing the greenhouse gas (GHG) emissions as far as possible, the greenhouse gas discharge is included in the performance evaluation of sewage treatment. The traditional performance evaluation indexes, such as EQI, OCI and so on, constitute the multi-objective optimization problem in the process of sewage treatment. A simplified sewage treatment simulation platform BSM2-ewas constructed, which includes primary settling tank, activated sludge reactor, secondary clarifier and concentration unit. The multi-objective evolutionary algorithm (NSGA-II) is used to improve the elite selection strategy of the algorithm. Based on the selection of congestion distance, the selection steps are added to improve the distribution of the algorithm. The algorithm is applied to BSM2-e multi-objective optimization problem and good simulation results are obtained. The optimization results show that there is a conflict between BSM2-e emission index and EQI. Improving the quality of effluent can increase the emission of greenhouse gas, but the GHG emission target has no conflict with OCI, which can effectively reduce the emission of greenhouse gas without increasing the operating cost.
【作者单位】：华东理工大学化工过程先进控制和优化技术教育部重点实验室;
【基金】：国家自然科学基金资助项目(61304071)
【分类号】：X703
【正文快照】： 随着我国城镇化和工业化速度的加快,生活污水和工业废水越来越多。为了减少环境污染,生活污水和工业废水需经有效处理后再循环利用或者排放,而污水处理过程会产生CO2、N2O和CH4气体。联合国气候变化政府专家委员会(IPCC)在1990年用全球变暖潜能(GWP)来反映温室气体的相对强度,

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