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05:40
Comparison of Scale in a Photosynthetic Reactor System for Algal Remediation of Wastewater
Published on: March 6, 2017
Parameter subset selection for the dynamic calibration of activated sludge models (ASMs): experience versus systems
M V Ruano1, J Ribes, D J W De Pauw
1Dep. Enginyeria Química, Universitat de València, Doctor Moliner, 50. 46100, Burjassot, València, Spain. m.victoria.ruano@uv.es
Summary
Selecting parameters for activated sludge models is crucial. This study found temperature coefficients significantly impact models, challenging prior assumptions and proposing a combined approach for better subset selection.
Area of Science:
- Environmental Engineering
- Wastewater Treatment
- Mathematical Modeling
Background:
- Activated sludge models (ASM) are vital for wastewater treatment plant (WWTP) management.
- Parameter subset selection is a critical step in calibrating these complex dynamic models.
- Previous studies often excluded temperature correction coefficients from analysis.
Purpose of the Study:
- To evaluate systems analysis and experience-based approaches for parameter subset selection in activated sludge modeling.
- To investigate the influence of parameter significance on model calibration outcomes.
- To develop a robust method for identifying influential parameters in WWTP models.
Main Methods:
- Utilized the ASM2d dynamic model calibrated for nitrogen and phosphorus removal at the Haaren WWTP.
- Employed systems analysis to rank parameter significance based on data information content.
- Applied an experience-based approach for comparison and computational feasibility assessment.
Main Results:
- Temperature correction coefficients were identified as highly influential parameters, contradicting previous research.
- Systems analysis demonstrated that data information content dictates parameter significance and subset size, but is computationally intensive.
- The experience-based approach, while efficient, can lead to suboptimal parameter subsets due to its inability to account for data information content.
Conclusions:
- A combination of systems analysis and experience-based approaches offers a realistic and sound strategy for parameter subset selection in activated sludge modeling.
- Accurate parameter identification is essential for reliable WWTP process simulation and optimization.
- Future research should consider the impact of all parameters, including temperature corrections, in model calibration.
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