学会誌「EICA」

[特集] 遺伝アルゴリズムを用いた下水処理プロセスの運転設定値計画

内容

インテリジェント情報処理による上下水道プロセス制御への期待

巻

7巻3号2002年

Page

17

題名

遺伝アルゴリズムを用いた下水処理プロセスの運転設定値計画

Title

New Optimization Technique for Operational Set-Points of Activated Sludge Process Using Genetic Algorithm

著者

古川　誠司（三菱電機（株））

Authors

著者表記

Author attribution

著者勤務先名

Office name

著者所属名

キーワード

生物学的窒素リン除去、遺伝アルゴリズム、最適化、運転設定値計画、Activated Sludge Model No.2d (ASM2d)

Key Words

概要

Abstract

A new optimization technique to establish control setpoints for activated sludge process based upon Activated Sludge Model No.2d (ASM2d) and Genetic Algorithm (GA) has been developed. Process performance predicted by ASM2d, which was compared with the real data measured at an existing wastewater treatment plant and confirmed to be reliable enough, was used as the objective functions in determining new setpoints by the proposed optimization technique. It has been shown that this technique can determine the combinations of good setpoints that would yield effluent nitrogen and phosphorus concentrations below 10mg-N/L and 1mg-P/L, respectively. Moreover, these setpoints were found to be economically advantageous in comparison with other operational conditions. The proposed new optimization technique is expected to make significant contributions to the enhancement of biological nutrients removal in activated sludge process.