Details
| Original language | English |
|---|---|
| Pages (from-to) | 1810–1820 |
| Number of pages | 11 |
| Journal | Water science and technology |
| Volume | 86 |
| Issue number | 7 |
| Early online date | 26 Sept 2022 |
| Publication status | Published - 1 Oct 2022 |
Abstract
Based on a one-year pilot plant operation of a two-step biofilm nitritation-anammox pilot plant, N 2O mitigation strategies were identified by applying a newly developed biofilm modeling approach. Due to adapted plant operation, the N 2O emission could be diminished by 75% (8.8% → 2.3% of NH 4-N oxidized_AOB). The results (measurement and simulation) confirm the huge importance of denitrification as an N 2O source or N 2O sink, depending on the boundary conditions. A significant reduction of N 2O emissions could only be achieved with a one-step deammonification system, which is related to low nitrite and HNO 2 concentrations. Increased oxygen concentrations in the bulk phase are not related to decreased emissions. N 2O formation by ammonium-oxidizing bacteria (AOB) just shifts deeper into the biofilm; zones with low oxygen concentrations are not avoidable in biofilm systems. Low oxygen concentrations in the bulk phase, however, result in a reduction of the total net N 2O formation due to increased activity of heterotrophic bacteria directly at the source of N 2O formation (outer biofilm layer). For the model-based identification of mitigation strategies, the standard modeling approaches for biofilms were expanded by including the factor-based N 2O formation and emission approach. The new model 'Biofilm/N 2O ISAH' was successfully validated using data from pilot-scale measurement campaigns. Altogether, the investigation confirms that the employed digital model can strongly support the development of N 2O mitigation strategies without the need for specialized measurement inside the biofilm.
Keywords
- aeration strategies, control algorithms, denitrification, GHG Emissions
ASJC Scopus subject areas
- Environmental Science(all)
- Water Science and Technology
- Environmental Science(all)
- Environmental Engineering
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In: Water science and technology, Vol. 86, No. 7, 01.10.2022, p. 1810–1820.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Model-based identification and testing of appropriate strategies to minimize N2O emissions from biofilm deammonification
AU - Freyschmidt, A.
AU - Beier, M.
N1 - Funding Information: This work was carried out as part of the MiNzE project (‘Minimization of the CO2 footprint by adapted process development in process water treatment – testing of the MiNzE process in an immersed fixed bed’, FKZ: 02WQ1482B). We thank the German Federal Ministry of Education and Research for financial support. Publisher Copyright: © 2022 IWA Publishing. All rights reserved.
PY - 2022/10/1
Y1 - 2022/10/1
N2 - Based on a one-year pilot plant operation of a two-step biofilm nitritation-anammox pilot plant, N 2O mitigation strategies were identified by applying a newly developed biofilm modeling approach. Due to adapted plant operation, the N 2O emission could be diminished by 75% (8.8% → 2.3% of NH 4-N oxidized_AOB). The results (measurement and simulation) confirm the huge importance of denitrification as an N 2O source or N 2O sink, depending on the boundary conditions. A significant reduction of N 2O emissions could only be achieved with a one-step deammonification system, which is related to low nitrite and HNO 2 concentrations. Increased oxygen concentrations in the bulk phase are not related to decreased emissions. N 2O formation by ammonium-oxidizing bacteria (AOB) just shifts deeper into the biofilm; zones with low oxygen concentrations are not avoidable in biofilm systems. Low oxygen concentrations in the bulk phase, however, result in a reduction of the total net N 2O formation due to increased activity of heterotrophic bacteria directly at the source of N 2O formation (outer biofilm layer). For the model-based identification of mitigation strategies, the standard modeling approaches for biofilms were expanded by including the factor-based N 2O formation and emission approach. The new model 'Biofilm/N 2O ISAH' was successfully validated using data from pilot-scale measurement campaigns. Altogether, the investigation confirms that the employed digital model can strongly support the development of N 2O mitigation strategies without the need for specialized measurement inside the biofilm.
AB - Based on a one-year pilot plant operation of a two-step biofilm nitritation-anammox pilot plant, N 2O mitigation strategies were identified by applying a newly developed biofilm modeling approach. Due to adapted plant operation, the N 2O emission could be diminished by 75% (8.8% → 2.3% of NH 4-N oxidized_AOB). The results (measurement and simulation) confirm the huge importance of denitrification as an N 2O source or N 2O sink, depending on the boundary conditions. A significant reduction of N 2O emissions could only be achieved with a one-step deammonification system, which is related to low nitrite and HNO 2 concentrations. Increased oxygen concentrations in the bulk phase are not related to decreased emissions. N 2O formation by ammonium-oxidizing bacteria (AOB) just shifts deeper into the biofilm; zones with low oxygen concentrations are not avoidable in biofilm systems. Low oxygen concentrations in the bulk phase, however, result in a reduction of the total net N 2O formation due to increased activity of heterotrophic bacteria directly at the source of N 2O formation (outer biofilm layer). For the model-based identification of mitigation strategies, the standard modeling approaches for biofilms were expanded by including the factor-based N 2O formation and emission approach. The new model 'Biofilm/N 2O ISAH' was successfully validated using data from pilot-scale measurement campaigns. Altogether, the investigation confirms that the employed digital model can strongly support the development of N 2O mitigation strategies without the need for specialized measurement inside the biofilm.
KW - aeration strategies
KW - control algorithms
KW - denitrification
KW - GHG Emissions
UR - http://www.scopus.com/inward/record.url?scp=85140144077&partnerID=8YFLogxK
U2 - 10.2166/wst.2022.307
DO - 10.2166/wst.2022.307
M3 - Article
VL - 86
SP - 1810
EP - 1820
JO - Water science and technology
JF - Water science and technology
SN - 0273-1223
IS - 7
ER -