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机构地区:[1]北京工业大学北京市水质科学与水环境恢复工程重点实验室,北京100022
出 处:《环境科学》2008年第9期2501-2506,共6页Environmental Science
基 金:高等学校博士学科点专项科研基金项目(20060005002);北京市教委科技创新平台项目(PXM2008-014204-050843);北京工业大学青年基金项目(97005013200702);北京工业大学博士科研启动基金项目(52005013200702)
摘 要:曝气控制是生物脱氮工艺重要的控制变量,它决定着整个处理系统的处理效果和运行费用.应用Benchmark-BSM1平台模型对缺氧-好氧生物脱氮工艺几种典型的曝气控制策略进行了研究.结果表明,前馈-反馈曝气量控制最优,其次为反馈控制、恒DO控制和恒曝气量控制.前馈-反馈控制和恒DO控制相比较,出水氨氮浓度大约降低24%,最大出水氨氮浓度降低18%,曝气能耗降低9%.获得了曝气量最优控制方法以及在不同运行条件下应采用的曝气控制策略,为了实现缺氧-好氧生物脱氮工艺硝化反应的最优控制,应同时控制曝气量和好氧区体积.Aeration control is the important control variable for the biological nitrogen removal process, which determines the system removal performance and operational cost. Some typical control strategies of aeration for aerobic-anoxic biological nitrogen removal process were studied using Benchmark-BSM1 platform model. It was demonstrated that the best control strategy of aeration was feedforward-feedback control, following by feedback control, constant DO control and constant aeration flow rate control. Compared with constant DO control, the effluent ammonia concentration, the maximum effluent ammonia concentration and aeration cost were reduced by 24% , 18% , and 9% , respectively, with the feedforward-feedback control. The aeration control ideas and control strategies at different conditions were determined. In order to achieve nitrification optimal control, the aeration flow and aeration volume should be both controlled.
分 类 号:X703.1[环境科学与工程—环境工程]
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