Coupled systems mechanics

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Model based control of filter run time on potable water treatment plant

  • Jusic, Suvada (Department of Water Resources Engineering and Environmental Engineering, Faculty of Civil Engineering, University of Sarajevo) ;
  • Milasinovic, Zoran (Department of Theoretical and Applied Hidromechanics and Hydraulic Structures and Facilities, Faculty of Civil Engineering, University of Sarajevo)
  • Received : 2015.04.27
  • Accepted : 2015.06.15
  • Published : 2015.06.25
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Abstract

Control of potable water treatment plant (PWTP) is nowadays based on experience. The aim of this article is to show that model based control of treatment process is more efficient than process operation based on experience. Stimela environment is used for modeling of processes of potable water treatment. Application of the model was conducted on PWTP "Crkvice" in Zenica (BiH). This plant has used conventional rapid sand filters. By effective application of the model it is determined the optimal filter run time for different input turbidity of raw water. This results in the possibility of reducing the consumption of backwashing water, lower costs for its pumping and reducing the amount of coagulants. In the existing practice, based on experience, these benefits are not used.

Keywords

References

  1. Amirtharajah, A. (1988), "Some theoretical and conceptual views of filtration", J. AWWA, 80(12), 36-46.
  2. Bakker, M., Rajewicz, T., Kien, H., Vreeburg, J.H.G. and Rietveld, L.C. (2014), "Advanced control of a water supply system: a case study", Water Pract. Technol., 9(2), 264-276. https://doi.org/10.2166/wpt.2014.030
  3. Campos, L.C., Smith, S.R. and Graham, N.J.D. (2006), "Deterministic-based model of slow sand filtration. I: model development i II: model application", J. Environ. Eng. - ASCE. 132(8), 872-894. https://doi.org/10.1061/(ASCE)0733-9372(2006)132:8(872)
  4. DHV Water BV, Stimela Online Dynamic - Stimela Environment for modelling. TU Delft [online] Url: http://www.stimela.com/ 2015.
  5. Dudley, J., Dillon, G. and Rietveld, L.C. (2008), "Water treatment simulators", J. Water Supply: Res. Technol.- AQUA, 57(1), 13-21. https://doi.org/10.2166/aqua.2008.096
  6. Ives, K.J. (1973), Mathematical models of deep bed filtration. In: The scientific basis of filtration, (Ed., Ives, K.J.)., Noordhoff - Leyden, the Netherlands.
  7. Jusic, S. (2011), Modeling of Conventional Rapid Filtration, PhD Dissertation, Faculty of Civil Engineering, University of Sarajevo, Sarajevo.
  8. Jusic, S. (2012), "Improving the management of rapid sand filtration process through modeling", Proceedings of the International Scientific Conference: People, Buildings and Environment, Lednice, Check Republic, November.
  9. Milasinovic, Z. (2004), Drainage Wells in Water Supply, Faculty of Civil Engineering, University of Sarajevo, Sarajevo, BiH.
  10. Rietveld, L.C. (2005), Improving Operation of Drinking Water Treatment through Modeling, PhD Dissertation, Faculty of Civil Engineering and Geosciences, University of Technology, TU Delft.
  11. Van Schagen, K.M. (2009), "Model-Based Control of Drinking-Water Treatment Plants", PhD Dissertation, Faculty of Civil Engineering and Geosciences, University of Technology, Delft.

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  1. Models for drinking water treatment processes vol.8, pp.6, 2015, https://doi.org/10.12989/csm.2019.8.6.489
  2. Daily influent variation for dynamic modeling of wastewater treatment plants vol.9, pp.2, 2015, https://doi.org/10.12989/csm.2020.9.2.111