Coupled systems mechanics

  • 제11권1호
  • /
  • Pages.79-91
  • /
  • 2022
  • /
  • 2234-2184(pISSN)
  • /
  • 2234-2192(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Good modeling practice of water treatment processes

  • Suvalija, Suvada (Department of Water Resources and Environmental Engineering, Faculty of Civil Engineering, University of Sarajevo) ;
  • Milisic, Hata (Department of Water Resources and Environmental Engineering, Faculty of Civil Engineering, University of Sarajevo) ;
  • Hadzic, Emina (Department of Water Resources and Environmental Engineering, Faculty of Civil Engineering, University of Sarajevo)
  • 투고 : 2021.06.16
  • 심사 : 2021.08.25
  • 발행 : 2022.02.25
⟨ 이전 논문 다음 논문 ⟩

초록

Models for water treatment processes include simulation, i.e., modelling of water quality, flow hydraulics, process controls and design. Water treatment processes are inherently dynamic because of the large variations in the influent water flow rate, concentration and composition. Moreover, these variations are to a large extent not possible to control. Mathematical models and computer simulations are essential to describe, predict and control the complicated interactions of the water treatment processes. An accurate description of such systems can therefore result in highly complex models, which may not be very useful from a practical, operational point of view. The main objective is to combine knowledge of the process dynamics with mathematical methods for processes estimation and identification. Good modelling practice is way to obtain this objective and to improve water treatment processes(its understanding, design, control and performance- efficiency). By synthesize of existing knowledge and experience on good modelling practices and principles the aim is to help address the critical strategic gaps and weaknessesin water treatment models application.

키워드

참고문헌

  1. Akinmolayan, F. (2017), "Mathematical modelling of clean water treatment works", Ph.D. Dissertation, Centre for Process Systems Engineering Department of Chemical Engineering, University College London.
  2. Alwazae, M., Perjons, E. and Johannesson, P. (2015) "Applying a template for best practice documentation", Procedia Comput. Sci., 72, 252-260. https://doi.org/10.1016/j.procs.2015.12.138.
  3. Ani, V.A. (2016), "Process modelling and simulation of a simple water treatment plant", Int. J. Intell. Syst. Appl. Eng., 4(4), 84-94. https://doi.org/10.18201/ijisae.2016426378.
  4. Argent, R.M., Sojda, R.S., Guipponi, C., McIntosh, B., Voinov, A.A. and Maier, H.R. (2016), "Best practices for conceptual modelling in environmental planning and management", Environ. Model. Softw., 80, 113-121. https://doi.org/10.1016/j.envsoft.2016.02.023.
  5. Black, D., Wallbrink, P. and Jordan, P. (2014), "Towards best practice implementation and application of models for analysis of water resources management scenarios", Environ. Model. Softw., 52, 136-148. https://doi.10.1016/j.envsoft.2013.10.023.
  6. Black, D., Wallbrink, P., Jordan, P., Waters, D., Carroll, C. and Blackmore, J. (2011), "Guidelines for water management modelling: Towards best-practice model application", eWater Cooperative Research Centre, Canberra, Australia.
  7. Dudley, J., Dillon, G. and Rietveld, L.C. (2008), "Water treatment simulators", J. Water Suppl.: Res. Technol.-AQUA, 57(1), 13-21. https://doi.org/10.2166/aqua.2008.096.
  8. Dzubur, A. and Serdarevic, A. (2020), "Daily influent variation for dynamic modeling of wastewater treatment plants", Couple. Syst. Mech., 9(2), 111-123. https://doi.org/10.12989/csm.2020.9.2.111.
  9. Harmel, R.D., Smith, P.K., Migliaccio, K.W., Chaubey, I., Douglas-Mankin, K.R., Benham, B., ... & Robson, B.J. (2014), "Evaluating, interpreting, and communicating performance of hydrologic/water quality models considering intended use: A review and recommendations", Environ. Model. Softw., 57, 40-51. https://doi.org/10.1016/j.envsoft.2014.02.013.
  10. Issa, H.M. (2019) "Optimization of wastewater treatment plant design using process dynamic simulation: A case study from Kurdistan, Iraq", ARO-Scientif. J. Koya Univ., 7(1), 59-66. https://doi.org/10.14500/aro.10488.
  11. Jakeman, A.J., Sawah, S. El., Cuddy, S., Robson, B., McIntyre, N. and Cook, F. (2018), "QWMN good modelling practice principles", Australian National University, Queensland Water Modelling Network, April.
  12. Jeppsson, U. (2017), "Modelling aspects of wastewater treatment processes", Ph.D. Dissertation, Department of Industrial Electrical Engineering and Automation (IEA) Lund Institute of Technology (LTH), Lund, Swede.
  13. Juntunen, P., Liukkonen, M., Pelo, M., Lehtola, J.M. and Hiltunen, Y. (2012), "Modelling of water quality: an application to a water treatment process", Appl. Comput. Intel. Soft Comput., 2012, Article ID 846321. https://doi.org/10.1155/2012/846321.
  14. Jusic, S., Milasinovic, Z., Milisic, H. and Hadzic, E. (2019), "Models for drinking water treatment processes", Couple. Syst. Mech., 8(6), 589-500. https://doi.org/10.12989/csm.2019.8.6.489.
  15. Rieger, L., Gillot, S., Langergraber, G., Ohtsuki, T., Shaw, A., Takacs, I. and Winkler, S. (2013), IWA Task Group on Good Modelling Practice-Guidelines for Use of Activated Sludge Models, IWA Publishing, London, UK.
  16. Rietveld, L. (2005), "Improving operation of drinking water treatment through modeling", Ph.D. Dissertation, Technical University TU Delft, The Netherlands.
  17. Rietveld, L.C., Van Der Helm, A.W.C., Van Schagen, K.M. and Van Der Aa, L.T.J. (2010). "Good modeling practice in drinking water, applied to Weesperkarspel plant of Waternet", Environ. Model. Softw., 25(5) 661-669. https://doi.org/10.1016/j.envsoft.2009.05.015.
  18. Rietveld, L.C., Van Schagen, K.M. and Van Dijk, J.C. (2004), "Information technology for linking research to education and training in drinking water treatment", Proceedings of the Water Institute of Southern Africa (WISA) Biennial Conference, Cape Town, South Africa, May.
  19. Scholten, H., Kassahun, A., Refsgaard, J.C., Kargas, T., Gavardinas, C. and Beulens, A.J.M. (2007), "A methodology to support multidisciplinary model-based water management", Environ. Model. Softw., 22(5), 743-759. https://doi.org/10.1016/J.ENVSOFT.2005.12.025.
  20. Serdarevic, A. and Dzubur, A. (2016), "Wastewater process modeling", Couple. Syst. Mech., 5(1), 21-39. http://doi.org/10.12989/csm.2016.5.1.021.
  21. Swan, R.W. (2015), "Optimization of water treatment works using Monte-Carlo methods and genetic algorithms", Ph.D. Dissertation, School of Civil Engineering, University of Birmingham, Birmingham.
  22. Ulinici, S.C., Vlad, G., Vaju, D., Balint, I., Baisan, G. and Hetvary, M. (2014), "Numerical modeling of processes in water treatment plants as a basis for an optimal design", J. Environ. Res. Protect., 11(3), 41-57.
  23. Van Waveren, R.H., Groot, S., Scholten, H., van Geer, F.C., Wosten, J.H.M., Koeze, R.D. and Noort, J.J. (2000), Good Modelling Practice Handbook, STOWA Report 99-05, Utrecht, RWS-RIZA, Lelystad, The Netherlands.
  24. Voinov, A., Jenni, K., Gray, S., Kolagani, N., Glynn, P.D., Bommel, P., ... & Smajgl, A. (2018), "Tools and methods in participatory modeling: Selecting the right tool for the job", Environ. Model. Softw., 109, 232-255. https://doi.org/10.1016/j.envsoft.2018.08.028.
  25. Wicklein, E., Batstone, D.J., Ducoste, J., Laurent, J., Griborio, A., Wicks, J., Saunders, S., Samstag, R., Potier, O. and Nopens, I. (2018), "Good modelling practice in applying computational fluid dynamics for WWTP modelling", Water Sci Technol., 73(5), 969-982. https://doi.org/10.2166/wst.2015.565.PMID:26942517.
  26. Yoann, M.M. (2013), "Development of an integrated tool for process modelling and life cycle assessment; Eco-design of process plants and application to drinking water treatment", PhD Dissertation, Institute National des Sciences Appliques de Toulouse (INSA Toulouse), Chemical and Process Engineering, Toulouse.