Machine learning assisted combined systems of wastewater treatment plants with constructed wetlands optimal decision-making
Copyright © 2024. Published by Elsevier Ltd..
This study proposed an efficient framework for optimizing the design and operation of combined systems of wastewater treatment plants (WWTP) and constructed wetlands (CW). The framework coupled a WWTP model with a CW model and used a multi-objective evolutionary algorithm to identify trade-offs between energy consumption, effluent quality, and construction cost. Compared to traditional design and management approaches, the framework achieved a 27 % reduction in WWTP energy consumption or a 44 % reduction in CW cost while meeting strict effluent discharge limits for Chinese WWTP. The framework also identified feasible decision variable ranges and demonstrated the impact of different optimization strategies on system performance. Furthermore, the contributions of WWTP and CW in pollutant degradation were analyzed. Overall, the proposed framework offers a highly efficient and cost-effective solution for optimizing the design and operation of a combined WWTP and CW system.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:399 |
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| Enthalten in: |
Bioresource technology - 399(2024) vom: 27. Apr., Seite 130643 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Dai, Wei [VerfasserIn] |
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| Links: |
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| Themen: |
Activated sludge model No.2d |
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| Anmerkungen: |
Date Completed 12.04.2024 Date Revised 12.04.2024 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1016/j.biortech.2024.130643 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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NLM370423860 |
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| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Copyright © 2024. Published by Elsevier Ltd. | ||
| 520 | |a This study proposed an efficient framework for optimizing the design and operation of combined systems of wastewater treatment plants (WWTP) and constructed wetlands (CW). The framework coupled a WWTP model with a CW model and used a multi-objective evolutionary algorithm to identify trade-offs between energy consumption, effluent quality, and construction cost. Compared to traditional design and management approaches, the framework achieved a 27 % reduction in WWTP energy consumption or a 44 % reduction in CW cost while meeting strict effluent discharge limits for Chinese WWTP. The framework also identified feasible decision variable ranges and demonstrated the impact of different optimization strategies on system performance. Furthermore, the contributions of WWTP and CW in pollutant degradation were analyzed. Overall, the proposed framework offers a highly efficient and cost-effective solution for optimizing the design and operation of a combined WWTP and CW system | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Activated sludge model No.2d | |
| 650 | 4 | |a Cost-benefit | |
| 650 | 4 | |a Multi-objective optimization | |
| 650 | 4 | |a Optimal control strategies | |
| 650 | 4 | |a Random forest | |
| 650 | 7 | |a Wastewater |2 NLM | |
| 700 | 1 | |a Pang, Ji-Wei |e verfasserin |4 aut | |
| 700 | 1 | |a Zhao, Ying-Jun |e verfasserin |4 aut | |
| 700 | 1 | |a Ding, Jie |e verfasserin |4 aut | |
| 700 | 1 | |a Sun, Han-Jun |e verfasserin |4 aut | |
| 700 | 1 | |a Cui, Hai |e verfasserin |4 aut | |
| 700 | 1 | |a Mi, Hai-Rong |e verfasserin |4 aut | |
| 700 | 1 | |a Zhao, Yi-Lin |e verfasserin |4 aut | |
| 700 | 1 | |a Zhang, Lu-Yan |e verfasserin |4 aut | |
| 700 | 1 | |a Ren, Nan-Qi |e verfasserin |4 aut | |
| 700 | 1 | |a Yang, Shan-Shan |e verfasserin |4 aut | |
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