Modelling and optimization of an activated sludge wastewater treatment process

被引：2
|
作者：
Nascu, Ioana [1 ,2 ]
Nascu, Ioan [3 ]
机构：
[1] Imperial Coll London, CPSE, Dept Chem Engn, London SW7 2AZ, England
[2] Texas A&M, Artie McFerrin Dept Chem Engn, College Stn, TX USA
[3] Tech Univ Cluj Napoca, Dept Automat, Cluj Napoca, Romania
来源：
26TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING (ESCAPE), PT A | 2016年 / 38A卷
关键词：
wastewater treatment plant; activated sludge process; modeling; model predictive control;
D O I：
10.1016/B978-0-444-63428-3.50198-3
中图分类号：
TQ [化学工业];
学科分类号：
0817 ;
摘要：
This paper investigates the performance of Model Predictive Control strategies used to improve the energy efficiency and effluent quality of a conventional Wastewater treatment plant. Two different model predictive control techniques are used: the extended predictive self-adaptive control, a model predictive control strategy based on online optimisation, and the multi-parametric model predictive control, a multiparametric control strategy based on offline optimisation. Both control strategies manage to efficiently optimize the aeration energy consumption while maintaining the discharged water quality within the regulations.
引用
收藏
页码：1159 / 1164
页数：6
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