基于模型的六箱一体化工艺优化控制研究  

Model-based Optimal Control Study in Six-tank Integrative Activated Sludge Process

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作  者:陈文亮[1,2,3] 吕锡武[1,3] 姚重华[2] 

机构地区:[1]东南大学,能源与环境学院,江苏南京210096 [2]华东理工大学,资源与环境工程学院,上海200237 [3]无锡太湖水环境研究中心,江苏无锡214135

出  处:《湖南大学学报(自然科学版)》2014年第12期123-131,共9页Journal of Hunan University:Natural Sciences

基  金:教育部科学研究重大项目(308010);国家'十二五'重大专项(2012ZX07101-005);江苏省科技支撑计划项目(BE2008667);江苏省自然科学基金资助项目(BK2011142)

摘  要:分析了基于模型的六箱一体化工艺的优化控制.针对六箱一体化工艺周期运行的特点,提出了两种阶段时间控制策略:Fix_time策略和NO3_control策略,前者的阶段时间是固定的,后者的阶段时间是通过在线检测缺氧池中SNO3及其变化速率自动进行控制的,Fix_time策略包含7个待优化参数,NO3_control策略包含6个待优化参数.在同时考虑出水水质和运行能耗两个目标的前提下,对两种策略进行了多目标优化分析.结果显示:NO3_control策略相比于Fix_time策略更具适应性,在不同的进水条件下依然能够满足缺氧反硝化的时间要求,因此出水水质更好,同时运行能耗也较低.该研究结果表明:针对六箱一体化工艺设计的NO3_control策略能够进一步提升六箱一体化工艺的性能.Model-based optimal control study of the six-tank integrative activated sludge process was carried out,and two step running time control strategies based on the cycle running feature of six-tank process were proposed,i.e.Fix_time strategy and NO3_control strategy.The step running time of the former was fixed,while that of the latter was controlled by SNO3 and its variation rate detected by the online sensors in the anoxic tanks.There were 7 parameters in Fix_time strategy and 6 parameters in NO3_ control strategy needed to be determined.The two strategies were analyzed in multi-objective optimization method considering effluent quality and energy consumption simultaneously.The results showed that NO3 _control strategy was more adaptive than Fix_time strategy because it could meet the time-demand of denitrification,and therefore,NO3_control strategy had better effluent quality with lower energy consumption.This research indicates that NO3_control strategy can improve the performance of the six-tank integrative activated sludge process.

关 键 词:优化 多目标优化 阶段时间 六箱一体化工艺 活性污泥 数学模型 

分 类 号:X522[环境科学与工程—环境工程] X11

 

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