Digital Twin for Pilot Plant for Water Treatment 

  • Agostino G. Bruzzone 
  • Kirill Sinelshchikov,  
  • Antonio Giovannetti,  
  • Aberto De Paoli,  
  • Roberto Ferrari,  
  • Federico Tarone,  
  • Lucio Piticchio  
  • a,b,c,d,e,f Simulation Team, via Magliotto 2, 17100 Savona, Italy
  • a.b SIM4Future, via Trento 34, Genova, 16145, Italy 
  • Arconhe, Corso Italia , 69, Catania, 95129, Italy 
Cite as
Bruzzone A.G., Sinelshchikov K., Giovannetti A., De Paoli A., Ferrari R., Gadupuri B., Reverberi A., Tarone F. (2022).,Digital twin for pilot plant for water treatment . Proceedings of the 10th International Workshop on Simulation for Energy, Sustainable Development & Environment (SESDE 2022). , 011 . DOI: https://doi.org/10.46354/i3m.2022.sesde.011

Abstract

The aim of the research project is to create a system that integrates live and virtual simulation in order to improve the efficiency and safety of heat exchangers and pipes within chemical industries thanks to an innovative biofilm and Limestone incrustations removal system. The solution presented has the purpose of solubilizing limescale and encrustations thanks to an integrated system that constantly monitors some system parameters and, thanks to the simulation, is able to adapt to the variations with  fine-tuning machine learning algorithms in order to always operate optimally. 

References

  1. Andritsos, N., Karabelas, A. J., & Koutsoukos, P. G. (1997). Morphology and structure of CaCO3 scale layers formed under isothermal flow conditions. Langmuir, 13(10), 2873-2879 
  2. Augustine, P. (2020). The industry use cases for the digital twin idea. In Advances in Computers (Vol. 117, No. 1, pp. 79-105). Elsevier. 
  3. Boxall, J. B., & Saul, A. J. (2005). Modeling discoloration in potable water distribution systems. Journal of Environmental Engineering, 131(5), 716-725 
  4. Bruzzone, A.G., Giovannetti, A., Massei, M. (2021). Improving Efficiency and Safety of heat exchangers and water piping by innovative Solutions. International Modeling & Simulation Multiconference. 
  5. Bruzzone, A. G., Massei, M., Reverberi, A., Cardelli, M., di Matteo, R., & Maglione, G. L. (2017). Simulation of Power Plant Environmental Impacts within the Extended Marine Framework. Chemical Engineering Transactions, 61, 1261-1266. 
  6. Bruzzone, A. G. & Bocca, E. (2012). Innovative solutions based on simulation combined with optimization techniques for maintenance service management within complex systems. International Journal of Modeling, Simulation, and Scientific Computing, 3(02). 
  7. Bruzzone A. G., Massei, M., Sinelshchikov, K., Fabbrini, G., Gotelli, M. & Molinari., A (2019b). Machine learning to support industrial digitalization and business transformation. In proceedings of 31st European Modeling and Simulation Symposium, EMSS, pp. 390-393. 
  8. Bruzzone, A.G., Sinelshchikov, K., Massei, M., Fabbrini, G. & Gotelli, M. (2020) Extended reality technologies for industrial innovation In Proceedings of 32nd European Modeling and Simulation Symposium, EMSS 2020, pp. 435-443Mattila-Sandholm, T. & Wirtanen, G., (1992), Biofilm formation in the industry: A review, Food Reviews International, 8:4, pp.573-603 
  9. Muryanto, S., Bayuseno, A. P., Ma’Mun, H., & Usamah, M. (2014). Calcium carbonate scale formation in pipes: effect of flow rates, temperature, and malic acid as additives on the mass and morphology of the scale. Procedia Chemistry, 9, 69-76. 
  10. Wei, Y., Law, A. W. K., Yang, C., & Tang, D. (2022). Combined Anomaly Detection Framework for Digital Twins of Water Treatment Facilities. Water, 14(7), 1001.