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...

Ausführliche Beschreibung

Bibliographische Detailangaben
Veröffentlicht in:Water environment research : a research publication of the Water Environment Federation. - 1998. - 87(2015), 11 vom: 15. Nov., Seite 1955-69
1. Verfasser: Kim, Dongwook (VerfasserIn)
Weitere Verfasser: Bowen, James D, Kinnear, David
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2015
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
LEADER 01000naa a22002652 4500
001 NLM254600026
003 DE-627
005 20231224172724.0
007 cr uuu---uuuuu
008 231224s2015 xx |||||o 00| ||eng c
024 7 |a 10.2175/106143015X14362865226671  |2 doi 
028 5 2 |a pubmed24n0848.xml 
035 |a (DE-627)NLM254600026 
035 |a (NLM)26564584 
040 |a DE-627  |b ger  |c DE-627  |e rakwb 
041 |a eng 
100 1 |a Kim, Dongwook  |e verfasserin  |4 aut 
245 1 0 |a Comprehensive Numerical Modeling of Greenhouse Gas Emissions from Water Resource Recovery Facilities 
264 1 |c 2015 
336 |a Text  |b txt  |2 rdacontent 
337 |a ƒaComputermedien  |b c  |2 rdamedia 
338 |a ƒa Online-Ressource  |b cr  |2 rdacarrier 
500 |a Date Completed 24.03.2016 
500 |a Date Revised 07.12.2022 
500 |a published: Print 
500 |a Citation Status MEDLINE 
520 |a 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 
650 4 |a Journal Article 
650 4 |a Research Support, Non-U.S. Gov't 
650 7 |a Waste Water  |2 NLM 
650 7 |a Carbon Dioxide  |2 NLM 
650 7 |a 142M471B3J  |2 NLM 
650 7 |a Nitrous Oxide  |2 NLM 
650 7 |a K50XQU1029  |2 NLM 
650 7 |a Methane  |2 NLM 
650 7 |a OP0UW79H66  |2 NLM 
700 1 |a Bowen, James D  |e verfasserin  |4 aut 
700 1 |a Kinnear, David  |e verfasserin  |4 aut 
773 0 8 |i Enthalten in  |t Water environment research : a research publication of the Water Environment Federation  |d 1998  |g 87(2015), 11 vom: 15. Nov., Seite 1955-69  |w (DE-627)NLM098214292  |x 1554-7531  |7 nnns 
773 1 8 |g volume:87  |g year:2015  |g number:11  |g day:15  |g month:11  |g pages:1955-69 
856 4 0 |u http://dx.doi.org/10.2175/106143015X14362865226671  |3 Volltext 
912 |a GBV_USEFLAG_A 
912 |a SYSFLAG_A 
912 |a GBV_NLM 
912 |a GBV_ILN_350 
951 |a AR 
952 |d 87  |j 2015  |e 11  |b 15  |c 11  |h 1955-69