Qiu, Yuge and Ekström, Sara and Valverde-Pérez, Borja and Smets, Barth F. and Climent, Javier and Domingo-Félez, Carlos and Martínez Cuenca, Raúl and Plósz, Benedek G. (2024) Numerical modelling of surface aeration and N2O emission in biological water resource recovery. Water Research, 255: 121398. ISSN 0043-1354
AI Summary:
This study addresses knowledge gaps related to the systematic identification and calibration of computational fluid dynamic CFD simulation models. The calibrated model accurately predicts liquid sensor measurements obtained in the Lynetten Water Resource Recovery Facility WRRF, Denmark.AI Topics:
Biokinetic modelling of N2O production and emission has been extensively studied in the past fifteen years. In contrast, the physical-chemical hydrodynamics of activated sludge reactor design and operation, and their impact on N2O emission, is less well understood. This study addresses knowledge gaps related to the systematic identification and calibration of computational fluid dynamic (CFD) simulation models. Additionally, factors influencing reliable prediction of aeration and N2O emission in surface aerated oxidation ditch-type reactor types are evaluated. The calibrated model accurately predicts liquid sensor measurements obtained in the Lynetten Water Resource Recovery Facility (WRRF), Denmark. Results highlight the equal importance of design and operational boundary conditions, alongside biokinetic parameters, in predicting N2O emission. Insights into the limitations of calibrating gas mass-transfer processes in two-phase CFD models of surface aeration systems are evaluated.
Title | Numerical modelling of surface aeration and N2O emission in biological water resource recovery |
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Creators | Qiu, Yuge and Ekström, Sara and Valverde-Pérez, Borja and Smets, Barth F. and Climent, Javier and Domingo-Félez, Carlos and Martínez Cuenca, Raúl and Plósz, Benedek G. |
Identification Number | 10.1016/j.watres.2024.121398 |
Date | 15 May 2024 |
Divisions | College of Science and Engineering > School of Engineering > Infrastructure and Environment |
Publisher | Elsevier |
Additional Information | This research was partially funded by the Danish Agency for Science, Technology and Innovation through the Research Project LaGas (12-132633). |
URI | https://pub.demo35.eprints-hosting.org/id/eprint/262 |
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Item Type | Article |
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Depositing User | Unnamed user with email ejo1f20@soton.ac.uk |
Date Deposited | 11 Jun 2025 16:36 |
Revision | 13 |
Last Modified | 12 Jun 2025 10:47 |
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