Comprehensive Numerical Modeling of Greenhouse Gas Emissions from Water Resource Recovery Facilities
A numerical model was developed to comprehensively predict greenhouse gas (GHG) emissions from water resource recovery facilities. An existing activated sludge model was extended to include a nitrifier-denitrification process and carbon dioxide (CO₂) as a state variable. The bioreactor model was cou...
| Veröffentlicht in: | Water environment research : a research publication of the Water Environment Federation. - 1998. - 87(2015), 11 vom: 15. Nov., Seite 1955-69 |
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| Format: | Online-Aufsatz |
| Sprache: | English |
| Veröffentlicht: |
2015
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| Zugriff auf das übergeordnete Werk: | Water environment research : a research publication of the Water Environment Federation |
| Schlagworte: | Journal Article Research Support, Non-U.S. Gov't Waste Water Carbon Dioxide 142M471B3J Nitrous Oxide K50XQU1029 Methane OP0UW79H66 |
| Zusammenfassung: | A numerical model was developed to comprehensively predict greenhouse gas (GHG) emissions from water resource recovery facilities. An existing activated sludge model was extended to include a nitrifier-denitrification process and carbon dioxide (CO₂) as a state variable. The bioreactor model was coupled to a process-based digester model and an empirical model of indirect CO₂emissions. Direct emissions were approximately 90% of total GHG emissions for a plantwide simulation using the Modified Ludzack-Ettinger process. Biogenic CO₂, nitrous oxide (N₂O), and methane (CH₄) represented 10, 43, and 34% of total emissions. Simulating a dissolved oxygen controlled closed-loop system reduced both sensitivity and uncertainty of GHG emissions. Nitrous oxide emissions were much more sensitive under different design and operating conditions compared to CH₄and CO₂, indicating a significant mitigation potential. An uncertainty analysis found that the uncertainty in GHGs emissions estimates could be significant. Nitrous oxide emissions dominated in both magnitude and uncertainty |
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| Beschreibung: | Date Completed 24.03.2016 Date Revised 07.12.2022 published: Print Citation Status MEDLINE |
| ISSN: | 1554-7531 |
| DOI: | 10.2175/106143015X14362865226671 |