School of Resources and Environmental Engineering, East China University of Science and Technology, Meilong Road, Shanghai 200237, China E-mail:
School of Energy and Environment, Southeast University, Sipailou Road, Nanjing 210096, China.
Water Sci Technol. 2014;69(10):2052-8. doi: 10.2166/wst.2014.119.
Optimal design of activated sludge process (ASP) using multi-objective optimization was studied, and a benchmark process in Benchmark Simulation Model 1 (BSM1) was taken as a target process. The objectives of the study were to achieve four indexes of percentage of effluent violation (PEV), overall cost index (OCI), total volume and total suspended solids, making up four cases for comparative analysis. Models were solved by the non-dominated sorting genetic algorithm in MATLAB. Results show that: ineffective solutions can be rejected by adding constraints, and newly added objectives can affect the relationship between the existing objectives; taking Pareto solutions as process parameters, the performance indexes of PEV and OCI can be improved more than with the default process parameters of BSM1, especially for N removal and resistance against dynamic NH4(+)-N in influent. The results indicate that multi-objective optimization is a useful method for optimal design ASP.
采用多目标优化方法对活性污泥工艺（ASP）进行了优化设计，并以基准模拟模型 1（BSM1）中的基准工艺为目标工艺。研究的目标是实现四个出水超标率（PEV）、综合成本指数（OCI）、总体积和总悬浮固体的指标，共构成四个案例进行对比分析。模型通过 MATLAB 中的非支配排序遗传算法进行求解。结果表明：通过添加约束条件可以排除无效解，新增目标会影响现有目标之间的关系；将 Pareto 解作为工艺参数，PEV 和 OCI 的性能指标可以得到改善，比 BSM1 的默认工艺参数更好，特别是对于脱氮和抵抗进水动态 NH4（+）-N 能力。结果表明，多目标优化是 ASP 优化设计的一种有效方法。
