遺伝アルゴリズムによる活性汚泥プロセスの設定値計画

• 古川 誠司

  三菱電機株式会社先端技術総合研究所

• 安齋 純雄

  東京都下水道局南多摩処理場

• 廣辻 淳二

  三菱電機株式会社先端技術総合研究所

• 田中 久雄

  三菱電機株式会社電力・産業システム事業所

書誌事項

タイトル別名

• New Optimization Technique for Operational Setpoints of Activated Sludge Process Using Genetic Algorithm.
• イデン アルゴリズム ニ ヨル カッセイ オデイ プロセス ノ セッテイチ ケイカク

抄録

A new optimization technique for establishing control setpoints for an activated sludge process based on Activated Sludge Model No.2d (ASM2d) and Genetic Algorithm (GA) has been developed. Process performance predicted by ASM2d, which was compared with the data measured at an existing wastewater treatment plant and confirmed to be sufficiently reliable, was used as the objective function 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^-1 and 1mg-P·l^-1, 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 nutrient removal in the activated sludge process.

収録刊行物

• 水環境学会誌

  水環境学会誌 26 (1), 39-45, 2003

  公益社団法人 日本水環境学会

キーワード

• Activated Sludge Model No.2d (ASM2d)
• biological nutrient removal
• Genetic Algorithm
• optimization

詳細情報

• CRID: 1390282680058503040
• NII論文ID: 10010225326
• NII書誌ID: AN10372439
• DOI: 10.2965/jswe.26.39
• COI: 1:CAS:528:DC%2BD3sXht12ltbs%3D
• ISSN: 18813690
• ISSN: 09168958
• NDL書誌ID: 6428879
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I6428879
• Web Site: https://www.jstage.jst.go.jp/article/jswe/26/1/26_1_39/_pdf
• 本文言語コード: ja
• データソース種別:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
• 抄録ライセンスフラグ: 使用不可