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Model-based evaluation of mechanisms and benefits of mainstream shortcut nitrogen removal processes.
Al-Omari, Ahmed; Wett, Bernhard; Nopens, Ingmar; De Clippeleir, Haydee; Han, Mofei; Regmi, Pusker; Bott, Charles; Murthy, Sudhir.
Afiliación
  • Al-Omari A; Department of Mathematical Modelling, Statistics and Bio-informatics, Ghent University, Coupure Links 653, 9000 Ghent, Belgium E-mail: ahmed.al-omari@dcwater.com; DC Water and Sewer Authority, 20032 Washington, DC, USA.
  • Wett B; ARAconsult, Unterbergerstr.1, A-6020 Innsbruck, Austria.
  • Nopens I; Department of Mathematical Modelling, Statistics and Bio-informatics, Ghent University, Coupure Links 653, 9000 Ghent, Belgium E-mail: ahmed.al-omari@dcwater.com.
  • De Clippeleir H; Department of Earth and Environmental Engineering, Columbia University, New York, NY, USA.
  • Han M; Laboratory of Microbial Ecology and Technology (LabMET), Ghent University, Ghent, Belgium.
  • Regmi P; Civil and Environment Engineering Department, Old Dominion University, Norfolk, VA 23529, USA.
  • Bott C; Hampton Roads Sanitation District, Virginia Beach, VA 23455, USA.
  • Murthy S; DC Water and Sewer Authority, 20032 Washington, DC, USA.
Water Sci Technol ; 71(6): 840-7, 2015.
Article en En | MEDLINE | ID: mdl-25812092
ABSTRACT
The main challenge in implementing shortcut nitrogen removal processes for mainstream wastewater treatment is the out-selection of nitrite oxidizing bacteria (NOB) to limit nitrate production. A model-based approach was utilized to simulate the impact of individual features of process control strategies to achieve NO(-)(2)-N shunt via NOB out-selection. Simulations were conducted using a two-step nitrogen removal model from the literature. Nitrogen shortcut removal processes from two case studies were modeled to illustrate the contribution of NOB out-selection mechanisms. The paper highlights a comparison between two control schemes; one was based on online measured ammonia and the other was based on a target ratio of 1 for ammonia vs. NOx (nitrate + nitrite) (AVN). Results indicated that the AVN controller possesses unique features to nitrify only that amount of nitrogen that can be denitrified, which promotes better management of incoming organics and bicarbonate for a more efficient NOB out-selection. Finally, the model was used in a scenario analysis, simulating hypothetical optimized performance of the pilot process. An estimated potential saving of 60% in carbon addition for nitrogen removal by implementing full-scale mainstream deammonification was predicted.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Bacterias / Contaminantes Químicos del Agua / Eliminación de Residuos Líquidos / Nitrógeno Tipo de estudio: Prognostic_studies Idioma: En Revista: Water Sci Technol Asunto de la revista: SAUDE AMBIENTAL / TOXICOLOGIA Año: 2015 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Bacterias / Contaminantes Químicos del Agua / Eliminación de Residuos Líquidos / Nitrógeno Tipo de estudio: Prognostic_studies Idioma: En Revista: Water Sci Technol Asunto de la revista: SAUDE AMBIENTAL / TOXICOLOGIA Año: 2015 Tipo del documento: Article País de afiliación: Estados Unidos