open access publication

Article, 2024

Numerical modelling of surface aeration and N2O emission in biological water resource recovery

Water Research, ISSN 1879-2448, 0043-1354, Volume 255, Page 121398, 10.1016/j.watres.2024.121398

Contributors

Qiu, Yuge 0000-0001-8315-7246 (Corresponding author) [1] Ekström, Sara [2] Valverde-Pérez, Borja 0000-0001-7255-1395 [2] Smets, Barth F 0000-0003-4119-6292 [2] Climent, Javier 0000-0002-6699-0794 [3] Domingo-Félez, Carlos 0000-0003-3677-8597 [2] Cuenca, Raúl Martínez [3] Plósz, Benedek Gy 0000-0002-7081-7038 [1] [4]

Affiliations

  1. [1] University of Bath
    2. [NORA names: United Kingdom; Europe, Non-EU; OECD];
  2. [2] Technical University of Denmark
    3. [NORA names: DTU Technical University of Denmark; University; Denmark; Europe, EU; Nordic; OECD];
  3. [3] Jaume I University
    4. [NORA names: Spain; Europe, EU; OECD];
  4. [4] OsloMet – Oslo Metropolitan University
    5. [NORA names: Norway; Europe, Non-EU; Nordic; OECD]

Abstract

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.

Keywords

CFD, Denmark, N2O, N2O emissions, O emissions, O production, aeration, aeration system, biokinetic model, biokinetic parameters, boundary conditions, calibration, calibration model, conditions, design, emission, facilities, factors, gap, identification, impact, knowledge, knowledge gaps, limitations, mass-transfer processes, measurements, model, numerical model, operating boundary conditions, operation, parameters, predicting N<sub>2</sub>O emissions. Th, prediction, process, reactor design, reactor types, recovery, recovery facilities, resource recovery, resource recovery facilities, results, sensor measurements, simulation, simulation model, study, surface, surface aeration, surface aeration systems, system, systematic identification, two-phase CFD model, type, water resource recovery, water resource recovery facilities, years

Funders

  • Danish Agency for Science and Higher Education

Data Provider: Digital Science

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