基于模型的六箱一体化工艺优化控制研究

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 in Six-tank Integrative Activated Sludge Process

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 on-line 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.