aeration system modelling – case studies from three full-scale … · 2015. 7. 22. · fit of...
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Aeration System Modelling – Case Studies from Three Full-scale WWTPs
Magnus Arnell & Ulf Jeppsson IEA, Lund University, Sweden
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Lund University / LTH / BME / IEA / Arnell & Jeppsson – Watermatex-15 / 2015-06-16
Energy production
GHG emission
COD/N/P
Energy use
Operational cost
Health
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Lund University / LTH / BME / IEA / Arnell & Jeppsson – Watermatex-15 / 2015-06-16
Benchmark Simulation Model no. 2 (BSM2)
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Lund University / LTH / BME / IEA / Arnell & Jeppsson – Watermatex-15 / 2015-06-16
Why dynamic modelling of aeration
• Wastewater is dynamic in composition and load • DO concentration is strongly influencing treatment
efficiency, energy requirement, greenhouse gas emissions, etc.
• Air flow is a key control handle at WWTPs • Engineering purposes
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Lund University / LTH / BME / IEA / Arnell & Jeppsson – Watermatex-15 / 2015-06-16
Components of the aeration system
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Lund University / LTH / BME / IEA / Arnell & Jeppsson – Watermatex-15 / 2015-06-16
Oxygen transfer model
• Includes oxygen transfer limitations (α, F) • Temperature compensation important • Allows for realistic, i.e. dynamic non-linear, OTE curve • Important to consider diffusor density and air flow
restrictions (min & max)
Beltrán, S. et al. (2013) Model-based optimization of aeration systems in WWTPs. (ICA2013).
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Lund University / LTH / BME / IEA / Arnell & Jeppsson – Watermatex-15 / 2015-06-16
Case studies
• Three municipal WWTPs • Case 1 – plant-wide model to answer questions about
marginal environmental effects of stricter effluent limits. Research project.
• Case 2 – model of water train to evaluate options for enhanced nitrogen removal and forecasted load increase. Consultancy project.
• Case 3 – plant-wide model to assess operational problems and evaluate future plant expansions. Consultancy project.
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Lund University / LTH / BME / IEA / Arnell & Jeppsson – Watermatex-15 / 2015-06-16
Three WWTPs
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Lund University / LTH / BME / IEA / Arnell & Jeppsson – Watermatex-15 / 2015-06-16
Fit of SOTE curves
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Lund University / LTH / BME / IEA / Arnell & Jeppsson – Watermatex-15 / 2015-06-16
Results Case 1
Difference of means: 4.4 % Goodness of Fit (NRMSE): -8.6
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Lund University / LTH / BME / IEA / Arnell & Jeppsson – Watermatex-15 / 2015-06-16
Results Case 2
Difference of means: 13 % Goodness of Fit (NRMSE): -0.032
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Lund University / LTH / BME / IEA / Arnell & Jeppsson – Watermatex-15 / 2015-06-16
Results case 3
Difference of means: 5.3 % Goodness of Fit (NRMSE): -0.25
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Lund University / LTH / BME / IEA / Arnell & Jeppsson – Watermatex-15 / 2015-06-16
Conclusions
• Dynamic modelling of aeration system is important and oxygen transfer model is crucial
• The implemented model is simple and robust with simple case specific adaptations
• For evaluation on shorter time scale or estimation of peak air flow demand a more detailed calibration of the bio-process model is needed
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Lund University / LTH / BME / IEA / Arnell & Jeppsson – Watermatex-15 / 2015-06-16
Thank you for your attention!
Magnus Arnell [email protected]
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Lund University / LTH / BME / IEA / Arnell & Jeppsson – Watermatex-15 / 2015-06-16