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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 coupled to a process‐based digester model and an empirical model of indirect CO2 emissions. 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 CH4 and 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.
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 coupled to a process‐based digester model and an empirical model of indirect CO2 emissions. 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 CH4 and 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.
Comprehensive Numerical Modeling of Greenhouse Gas Emissions from Water Resource Recovery Facilities
Kim, Dongwook (Autor:in) / Bowen, James D. (Autor:in) / Kinnear, David (Autor:in)
Water Environment Research ; 87 ; 1955-1969
01.11.2015
15 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch