Improving the nitrogen removal efficiency of an A2/O based WWTP by using an on-line Knowledge Based Expert System

被引:68
|
作者
Baeza, JA [1 ]
Gabriel, D [1 ]
Lafuente, J [1 ]
机构
[1] Univ Autonoma Barcelona, Dept Engn Quim, ETSE, E-08193 Barcelona, Spain
关键词
Knowledge Based Expert System (KBES); expert control; real time; nitrogen removal; nitrification; denitrification; activated sludge;
D O I
10.1016/S0043-1354(01)00402-X
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The results obtained using an expert system to control an activated sludge process involving nutrient removal are reported. The study was conducted at a pilot plant using an Anaerobic/Anoxic/Oxic (A(2)/O) scheme for which a distributed control system was specially developed. The system allows various expert operational approaches to be developed with a view to minimize nitrogen levels in the outlet while using the minimum amount of energy. The proposed distributed control system is supervised by a Knowledge Based Expert System (KBES) constructed with G2(C) (a tool for expert system development) and permits the on-line implementation of every operating strategy of the experimental system. A set of experiments involving variable loads and flow-rates was carried out. It revealed that the amount of removed nitrogen could be increased by 11% compared to the usual operating conditions. This increase resulted in a decrease in the amount of total nitrogen and ammonium nitrogen in the outlet by 49% and 64%, respectively. These improvements were achieved with little energy cost because the performance of the treatment plant was optimised using operating rules implemented in real time. (C) 2002 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:2109 / 2123
页数:15
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