- -

Building and exploiting a Digital Twin for the management of drinking water distribution networks

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

  • Estadisticas de Uso

Building and exploiting a Digital Twin for the management of drinking water distribution networks

Show full item record

Conejos Fuertes, P.; Martínez Alzamora, F.; Hervás-Carot, M.; Alonso Campos, JC. (2020). Building and exploiting a Digital Twin for the management of drinking water distribution networks. Urban Water Journal. 17(8):704-713. https://doi.org/10.1080/1573062X.2020.1771382

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/162857

Files in this item

Item Metadata

Title: Building and exploiting a Digital Twin for the management of drinking water distribution networks
Author: Conejos Fuertes, P. Martínez Alzamora, Fernando Hervás-Carot, M. Alonso Campos, J. C.
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Hidráulica y Medio Ambiente - Departament d'Enginyeria Hidràulica i Medi Ambient
Issued date:
Abstract:
[EN] Digital Twins (DTs) are starting to be exploited to improve the management of water distribution systems (WDSs) and, in the future, they will be crucial for decision making. In this paper, the authors propose several ...[+]
Subjects: Water distribution systems , Real time , Detailed model , Digital Twin , Planning operation and maintenance , Epanet
Copyrigths: Reserva de todos los derechos
Source:
Urban Water Journal. (issn: 1573-062X )
DOI: 10.1080/1573062X.2020.1771382
Publisher:
Taylor & Francis
Publisher version: https://doi.org/10.1080/1573062X.2020.1771382
Type: Artículo

References

Chacón Ramírez, E., Albarrán, J. C., & Cruz Salazar, L. A. (2019). The Control of Water Distribution Systems as a Holonic System. Studies in Computational Intelligence, 352-365. doi:10.1007/978-3-030-27477-1_27

Grieves, M., et al. 2015. Virtually Intelligent Product Systems: Digital and Physical Twins. In Complex Systems Engineering: Theory and Practice, edited by S. Flumerfelt, et al., 175–200. American Institute of Aeronautics and Astronautics.

Hatchett, S., J. Uber, D. Boccelli, T. Haxton, R. Janke, A. Kramer, A. Matracia, and S. Panguluri. 2011. “Real-Time Distribution System Modeling: Development, Application, and Insights.” Urban Water Management: Challenges and Oppurtunities - 11thInternational Conference on Computing and Control for the Water Industry, CCWI 2011 July. [+]
Chacón Ramírez, E., Albarrán, J. C., & Cruz Salazar, L. A. (2019). The Control of Water Distribution Systems as a Holonic System. Studies in Computational Intelligence, 352-365. doi:10.1007/978-3-030-27477-1_27

Grieves, M., et al. 2015. Virtually Intelligent Product Systems: Digital and Physical Twins. In Complex Systems Engineering: Theory and Practice, edited by S. Flumerfelt, et al., 175–200. American Institute of Aeronautics and Astronautics.

Hatchett, S., J. Uber, D. Boccelli, T. Haxton, R. Janke, A. Kramer, A. Matracia, and S. Panguluri. 2011. “Real-Time Distribution System Modeling: Development, Application, and Insights.” Urban Water Management: Challenges and Oppurtunities - 11thInternational Conference on Computing and Control for the Water Industry, CCWI 2011 July.

Kartakis, S., Abraham, E., & McCann, J. A. (2015). WaterBox. Proceedings of the 1st ACM International Workshop on Cyber-Physical Systems for Smart Water Networks. doi:10.1145/2738935.2738939

Lin, J., Sedigh, S., & Miller, A. (2009). Towards Integrated Simulation of Cyber-Physical Systems: A Case Study on Intelligent Water Distribution. 2009 Eighth IEEE International Conference on Dependable, Autonomic and Secure Computing. doi:10.1109/dasc.2009.140

Qi, Q., & Tao, F. (2018). Digital Twin and Big Data Towards Smart Manufacturing and Industry 4.0: 360 Degree Comparison. IEEE Access, 6, 3585-3593. doi:10.1109/access.2018.2793265

Alac, M. (2008). Working with Brain Scans. Social Studies of Science, 38(4), 483-508. doi:10.1177/0306312708089715

Shi, Y., Xu, J., & Du, W. (2019). Discussion on the New Operation Management Mode of Hydraulic Engineering Based on the Digital Twin Technique. Journal of Physics: Conference Series, 1168, 022044. doi:10.1088/1742-6596/1168/2/022044

Tao, F., Zhang, H., Liu, A., & Nee, A. Y. C. (2019). Digital Twin in Industry: State-of-the-Art. IEEE Transactions on Industrial Informatics, 15(4), 2405-2415. doi:10.1109/tii.2018.2873186

Tao, F., Cheng, J., Qi, Q., Zhang, M., Zhang, H., & Sui, F. (2017). Digital twin-driven product design, manufacturing and service with big data. The International Journal of Advanced Manufacturing Technology, 94(9-12), 3563-3576. doi:10.1007/s00170-017-0233-1

Tao, F., & Qi, Q. (2019). Make more digital twins. Nature, 573(7775), 490-491. doi:10.1038/d41586-019-02849-1

Uber, J., S. Hatchett, S. Hooper, D. Boccelli, H. Woo, and R. Janke. 2014. Water Utility Case Study of Real-Time Network Hydaulic and Water Qualilty Modeling Using EPANET-RTX Libraries. EPA 6007R-14/350 Report. Cincinnati, Ohio: Environmental Protection Agency.

Wang, Z., Song, H., Watkins, D. W., Ong, K. G., Xue, P., Yang, Q., & Shi, X. (2015). Cyber-physical systems for water sustainability: challenges and opportunities. IEEE Communications Magazine, 53(5), 216-222. doi:10.1109/mcom.2015.7105668

[-]

recommendations

 

This item appears in the following Collection(s)

Show full item record