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Related Experiment Videos

Improving the predictions of ASM2d through modelling in practice.

L Larrea1, I Irizar, M E Hidalgo

  • 1Section of Environmental Engineering, CEIT, San Sebastián, Spain.

Water Science and Technology : a Journal of the International Association on Water Pollution Research
|May 7, 2002
PubMed
Summary

This study refines the ASM2d model for activated sludge wastewater treatment, improving predictions for carbon, nitrogen, and phosphorus removal. Adjustments enhance accuracy in predicting effluent quality under various operational conditions.

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Area of Science:

  • Environmental Engineering
  • Biotechnology
  • Water Treatment

Background:

  • Activated sludge models are crucial for optimizing wastewater treatment processes.
  • The ASM2d model requires calibration for accurate prediction of carbon, nitrogen, and phosphorus removal.
  • Pilot-scale studies reveal limitations in existing models for high-rate and alternating processes.

Purpose of the Study:

  • To enhance the predictive capabilities of the ASM2d model for activated sludge wastewater treatment.
  • To improve predictions for carbon, nitrogen, and phosphorus removal by adjusting model structure and kinetic coefficients.
  • To validate model modifications using experimental data from pilot-scale plants.

Main Methods:

  • Structural modification of the ASM2d model to include a soluble fraction of slowly biodegradable substrate.

Related Experiment Videos

  • Adjustment of kinetic coefficients, including oxygen saturation coefficients and denitrification reduction factors.
  • Calibration of parameters related to phosphorus storage and anaerobic hydrolysis.

    • Main Results:

    • Improved prediction of effluent filtered Chemical Oxygen Demand (COD) in high-rate carbon removal processes.
    • Accurate simulation of simultaneous nitrification-denitrification by increasing oxygen saturation coefficients.
    • Successful prediction of denitrification capacity loss under unfavorable conditions through decreased denitrification reduction factors.
    • Satisfactory prediction of phosphorus removal using both default and adjusted ASM2d parameters.

    Conclusions:

    • The modified ASM2d model provides enhanced accuracy for predicting effluent quality in activated sludge systems.
    • Model adjustments are essential for simulating complex processes like simultaneous nitrification-denitrification and denitrification loss.
    • The ASM2d model, with appropriate calibration, remains effective for predicting phosphorus removal.