Activated-Sludge Treatment using Model Predictive Control

1. Introduction

Climate variability has introduced new challenges for the management of activated-sludge treatment in petroleum refining. A parametric study was carried out using model predictive control to assess the influence of the principal design variables. The model predicted activated-sludge treatment with an average error of less than 49%. Further validation under realistic field conditions is advisable before any widespread commercial implementation is attempted.

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2. Materials and Methods

The method is described in the printed article, of which the PDF galley is a faithful rendition.

3. Results and Discussion

Results are reported in full in the PDF, together with the figures and tables referenced above.

4. Conclusion

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