An autonomous operational trajectory searching system for an economic and environmental membrane bioreactor plant using deep reinforcement learning
Optimal operation of membrane bioreactor (MBR) plants is crucial to save operational costs while satisfying legal effluent discharge requirements. The aeration process of MBR plants tends to use excessive energy for supplying air to micro-organisms. In the present study, a novel optimal aeration sys...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | Water science and technology : a journal of the International Association on Water Pollution Research. - 1986. - 81(2020), 8 vom: 09. Apr., Seite 1578-1587
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| 1. Verfasser: |
Nam, KiJeon
(VerfasserIn) |
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| Weitere Verfasser: |
Heo, SungKu,
Loy-Benitez, Jorge,
Ifaei, Pouya,
Yoo, ChangKyoo |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2020
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| Zugriff auf das übergeordnete Werk: | Water science and technology : a journal of the International Association on Water Pollution Research
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| Schlagworte: | Journal Article
Membranes, Artificial |
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