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Dynamic simulation of N2O emissions from a full-scale partial nitritation reactor
- Source :
- Biochemical Engineering Journal, Biochemical Engineering Journal, Elsevier, 2019, 152, pp.107356. ⟨10.1016/j.bej.2019.107356⟩, Biochemical Engineering Journal, 2019, 152, pp.107356. ⟨10.1016/j.bej.2019.107356⟩
- Publication Year :
- 2019
- Publisher :
- HAL CCSD, 2019.
-
Abstract
- International audience; This study deals with the potential and the limitations of dynamic models for describing and predicting nitrous oxide (N2O) emissions associated with biological nitrogen removal from wastewater. The results of a three-week monitoring campaign on a full-scale partial nitritation reactor were reproduced through a state-of-the-art model including different biological N2O formation pathways. The partial nitritation reactor under study was a SHARON reactor treating the effluent from a municipal wastewater treatment plant sludge digester. A qualitative and quantitative comparison between experimental data and simulation results was performed to identify N2O formation pathways as well as for model identification. Heterotrophic denitrifying bacteria and ammonium oxidizing bacteria (AOB) were responsible for N2O formation under anoxic conditions, whereas under aerated conditions the AOB were the most important N2O producers. Relative to previously proposed models, hydroxylamine (NH2OH) had to be included as a state variable in the AOB conversions in order to describe potential N2O formation by AOB under anoxic conditions. An oxygen inhibition term in the corresponding reaction kinetics was required to fairly represent the relative contribution of the different AOB pathways for N2O production. Nevertheless, quantitative prediction of N2O emissions with models remains a challenge, which is discussed.
- Subjects :
- 0106 biological sciences
Environmental Engineering
[SDV.BIO]Life Sciences [q-bio]/Biotechnology
[SDV]Life Sciences [q-bio]
Biomedical Engineering
Heterotroph
Digester effluent
Bioengineering
Wastewater treatment
01 natural sciences
Greenhouse gas emission
03 medical and health sciences
chemistry.chemical_compound
Denitrifying bacteria
010608 biotechnology
Ammonium
Biological nitrogen removal
Effluent
ComputingMilieux_MISCELLANEOUS
030304 developmental biology
0303 health sciences
Nitrous oxide
Pulp and paper industry
equipment and supplies
Anoxic waters
6. Clean water
Wastewater
chemistry
13. Climate action
Environmental science
Aeration
Dynamic simulation
Biotechnology
Subjects
Details
- Language :
- English
- ISSN :
- 1369703X
- Database :
- OpenAIRE
- Journal :
- Biochemical Engineering Journal, Biochemical Engineering Journal, Elsevier, 2019, 152, pp.107356. ⟨10.1016/j.bej.2019.107356⟩, Biochemical Engineering Journal, 2019, 152, pp.107356. ⟨10.1016/j.bej.2019.107356⟩
- Accession number :
- edsair.doi.dedup.....a7aafc8aac5db789ac0b847c57f6e38a
- Full Text :
- https://doi.org/10.1016/j.bej.2019.107356⟩