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Ramos, H.M.; Kuriqi, A.; Besharat, M.; Creaco, E.; Tasca, E.; Coronado-Hernández, O.E.; Pienika, R.; Iglesias-Rey, P. Smart Water Grids and Digital Twin for the Management of System Efficiency in Water Distribution Networks. Water 2023, 15, 1129. https://doi /10.3390/w15061129
Ramos HM, Kuriqi A, Besharat M, Creaco E, Tasca E, Coronado-Hernández OE, Pienika R, Iglesias-Rey P. Smart Water Grids and Digital Twin for the Management of System Efficiency in Water Distribution Networks. Water. 2023; 15(6):1129. https://doi /10.3390/w15061129
Ramos, Helena M., Alban Kuriqi, Mohsen Besharat, Enrico Creaco, Elias Tasca, Oscar E. Coronado-Hernández, Rodolfo Pienika, and Pedro Iglesias-Rey. 2023. "Smart Water Grids and Digital Twin for the Management of System Efficiency in Water Distribution Networks" Water 15, no. 6: 1129. https://doi /10.3390/w15061129
Ramos, H. M., Kuriqi, A., Besharat, M., Creaco, E., Tasca, E., Coronado-Hernández, O. E., Pienika, R., & Iglesias-Rey, P. (2023). Smart Water Grids and Digital Twin for the Management of System Efficiency in Water Distribution Networks. Water, 15(6), 1129. https://doi /10.3390/w15061129
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The expected benefits of a Smart Water Grid are the following:
Real-time monitoring of asset condition for preventive maintenance. With advanced sensing technologies, data on pipeline condition can be used to develop a risk-based model for pipe replacement projects. This enables WSN to better plan and schedule the mains replacement and rehabilitation programme, so that the right pipes are replaced at the right time.
Real-time water consumption information to help customers conserve water. On the customers'' end, WSN hopes to use technologies like automated meter readings and smart water efficient gadgets provide real-time feedback on water and energy usage to customers. This enables customers to make informed choices towards water conservation within their homes and company premises. In addition, the usage data from automated meter readings will enable more accurate demand prediction for optimizing pumping schedules, water turn-over in service reservoirs, and water required to be treated and pumped.
Decision support tools, such as predictive hydraulic modelling, valve operation simulation, demand prediction modelling and pipeline failure analysis, help to improve network assessments and planning.
This paper covers the five key aspects of the Smart Water Grid system, in relation to both the key operational aspects of a water distribution system (asset management, leak management, water quality monitoring) and the customers'' end (automated meter reading and water conservation). For each aspect, the paper focuses on the challenges, current technology, PUB''s experience with technology and identified gaps, and the technology roadmap.
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