文献类型：期刊文献

英文题名：Dynamic optimization of aeration operations for a benchmark wastewater treatment plant

作者：Luo, Jianxu[1]; Biegler, Lorenz T.[2]

机构：[1] Automation Department, East China University of Science and Technology, Shanghai 200237, China; [2] Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh PA 15213, United States

年份：2011

卷号：44

期号：1 PART 1

起止页码：14189

外文期刊名：IFAC Proceedings Volumes (IFAC-PapersOnline)

收录：EI(收录号：20124015493447)

语种：英文

外文关键词：Effluents - Water quality - Sewage pumping plants - Wastewater treatment - Reclamation - Water treatment plants - Dissolved oxygen

摘要：This study considers the optimization of aeration operations of a challenging benchmark wastewater treatment plant (WWTP), described by the Benchmark Simulation Model 1 (BSM1). The objective is to minimize aeration energy cost while maintaining effluent quality within regulation-specified limits. For this study, the optimization model based on BSM1 was developed using the AMPL language and IPOPT nonlinear programming (NLP) solver. Optimal air volume and the corresponding dissolved oxygen (DO) setpoint were obtained at steady state conditions. Finally, optimal dynamic aeration operations were obtained under dry weather conditions, using an efficient nonlinear programming strategy. This result showed significant improvements over conventional strategies based on setpoints alone. ? 2011 IFAC.