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| ホーム > 学会誌「EICA」 > 論文検索 > |
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| 内容 |
特集 |
| 巻 |
7巻3号2002年
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| Page |
17
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| 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
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| 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 |
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| 著者表記 |
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| 著者表記(英) |
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| 著者勤務先名 |
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| Office name |
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| 著者所属名 |
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| 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 |
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| 概要 |
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| 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. |
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