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Related Experiment Videos

Maximum nitrogen removal in the step-feed activated sludge process.

Chi-Chung Tang1, Jeff Kuo, Jeffery S Weiss

  • 1Wastewater Research Section Technical Services Department, County Sanitation Districts of Los Angeles, 1955 Workman Mill Road, Whittier, CA 90601, USA. cctang@lacsd.org

Water Environment Research : a Research Publication of the Water Environment Federation
|May 11, 2007
PubMed
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Optimizing flow distribution in step-feed activated sludge processes maximizes nitrogen removal. This wastewater treatment model, dependent on BOD(L)-to-TKN ratios, accurately predicts performance and suggests operational adjustments for enhanced efficiency.

Area of Science:

  • Environmental Engineering
  • Wastewater Treatment Technologies
  • Nitrogen Removal Processes

Background:

  • Step-feed activated sludge (SFAS) is a key process for municipal wastewater treatment.
  • Optimizing nutrient removal, particularly nitrogen, is crucial for environmental protection.
  • Existing models may not fully capture SFAS performance under varying influent conditions.

Purpose of the Study:

  • To develop a mathematical framework for optimizing flow distributions in SFAS processes for maximum nitrogen removal.
  • To assess the impact of the biochemical oxygen demand (BOD(L))-to-total Kjeldahl nitrogen (TKN) ratio on nitrogen removal efficiency.
  • To validate the model using real-world operational data from multiple treatment plants.

Main Methods:

  • Development of a mathematical model to simulate nitrogen removal in SFAS processes.

Related Experiment Videos

  • Analysis of the relationship between BOD(L)/TKN ratio and nitrogen removal efficiency.
  • Application of the model to plant-specific data from four SFAS facilities over a 1-year period.
  • Comparison of model predictions with actual plant performance data.

    • Main Results:

    • Nitrogen removal efficiency is highly dependent on the BOD(L)-to-TKN ratio of the wastewater.
    • The SFAS process, with optimal flow distribution, outperforms the Modified Ludzack-Ettinger process for typical domestic wastewater.
    • The developed model accurately predicts nitrogen removal efficiencies observed in operational plants.
    • Operational strategies, including dynamic flow splitting, can significantly improve nitrogen removal at existing facilities.

    Conclusions:

    • The developed mathematical framework is a reliable tool for predicting and optimizing nitrogen removal in SFAS processes.
    • Wastewater characteristics, specifically the BOD(L)/TKN ratio, are critical determinants of SFAS performance.
    • Dynamic adjustment of flow distribution based on diurnal BOD(L) and TKN fluctuations offers a practical approach to enhance nitrogen removal efficiency in existing plants.