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huo xing wu ni gong yi de duo mu biao you hua fen xi
Author(s): 
Pages: 1918-1925
Year: Issue:  7
Journal: Acta Scientiae Circumstantiae

Keyword:  multi-objective optimizationactivated sludge processBSM1trade-offs;
Abstract: 研究了多目标优化方法在活性污泥工艺优化中应用的可行性,以国际水协(IWA)发布的基准仿真模型BSM1的工艺流程为对象,以出水水质、过程能耗和反应池体积的指标为优化目标,以反应池池容(5个)、混合液回流量、污泥回流量、污泥排放量、反应池氧气传质系数(3个)等11个变量为决策变量,构建了基于BSM1的多目标优化模型,并利用MatLab非支配排序遗传算法NSGA-II进行求解,获得了BSM1多目标优化模型的Pareto解.研究结果表明,在Dry进水条件下,通过将体积指标增大4.1%,可以明显改善出水水质指标(降低81.5%),能耗指标也能得到一定改善(降低13.3%);在3种进水条件(Dry,Rain,Storm)下,相对于BSM1工艺参数的缺省值,利用本研究的优化解作为工艺参数,均能不同程度改善出水水质、降低能耗.研究结果显示,在活性污泥过程不同目标之间进行权衡可以通过多目标优化方法来实现.
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