Your browser doesn't support javascript.
loading
Comprehensive Numerical Modeling of Greenhouse Gas Emissions from Water Resource Recovery Facilities.
Kim, Dongwook; Bowen, James D; Kinnear, David.
Afiliação
  • Kim D; Department of Civil and Environmental Engineering, University of North Carolina at Charlotte, Charlotte, North Carolina, USA.
Water Environ Res ; 87(11): 1955-69, 2015 Nov.
Article em En | MEDLINE | ID: mdl-26564584
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.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Dióxido de Carbono / Águas Residuárias / Metano / Modelos Teóricos / Óxido Nitroso Tipo de estudo: Prognostic_studies Idioma: En Revista: Water Environ Res Assunto da revista: SAUDE AMBIENTAL / TOXICOLOGIA Ano de publicação: 2015 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Dióxido de Carbono / Águas Residuárias / Metano / Modelos Teóricos / Óxido Nitroso Tipo de estudo: Prognostic_studies Idioma: En Revista: Water Environ Res Assunto da revista: SAUDE AMBIENTAL / TOXICOLOGIA Ano de publicação: 2015 Tipo de documento: Article País de afiliação: Estados Unidos