TECHNICAL PAPERS
Apr 1, 2006

Comparison of Two Model Concepts for Simulation of Nitrogen Removal at a Full-Scale Biological Nutrient Removal Pilot Plant

Publication: Journal of Environmental Engineering
Volume 132, Issue 4

Abstract

The experimental studies conducted at the Hanover-Gümmerwald pilot wastewater treatment plant (WWTP) focused on minimizing nitrogen loads discharged during stormwater events. The data collected during the plant operation were used for a long-term process simulation. The aim of this study was to compare predictive capabilities of two different mechanistic models (ASM2d and ASM3P) in terms of nitrogen removal. The influent wastewater composition was generated using on-line measurements of only three parameters (COD, NNH4+ , PPO43 ) and the model predictions were primarily compared with on-line data (concentrations of NNH4+ , NNO3 ) originating from the aerobic zone of the bioreactor. The simulation results confirmed the experimental data concerning the capabilities of the system for handling increased flows during stormwater events. The predicted peaks of NNH4+ at the line with the quadruple dry weather flow rate were normally exceeding 8gNm3 (similar to the observations), whereas no (or minor) peaks of NNH4+ were predicted for the line with the double dry weather flow rate. The relationships between ASM2d and ASM3P predictions for NNH4+ and NNO3 were highly correlated (r2=0.830.99) with the slopes remaining close to 1.0. Both models appear to be equally suitable for practical applications in common municipal WWTPs.

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Acknowledgments

This research was financially supported by the Federal Ministry of Education and Research (BmBF) under Project No. 02 WA 98499 and the pilot plant was operated in cooperation with the City of Hanover. The Alexander von Humboldt Foundation is especially acknowledged for supporting J. Makinia during his research in the ISAH. The writers wish to thank Dr. Katja Seggelke for her engagement and scientific research in the above-mentioned project as well as intensive collection and evaluation of the data, which could be used for this study.

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Published In

Go to Journal of Environmental Engineering
Journal of Environmental Engineering
Volume 132Issue 4April 2006
Pages: 476 - 487

History

Received: Sep 9, 2004
Accepted: Aug 16, 2005
Published online: Apr 1, 2006
Published in print: Apr 2006

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Authors

Affiliations

Adjunct, Faculty of Civil and Environmental Engineering, Gdansk Univ. of Technology, ul. Narutowicza 11/12, 80-952 Gdansk, Poland. E-mail: [email protected]
K.-H. Rosenwinkel [email protected]
Professor and Head of the Institute, Institute for Sanitary Engineering and Waste Management, Univ. of Hanover, Welfengarten 1, D-30167 Hanover, Germany (corresponding author). E-mail: [email protected]
Research Assistant, Institute for Sanitary Engineering and Waste Management, Univ. of Hanover, Welfengarten 1, D-30167 Hanover, Germany. E-mail: [email protected]

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