2022
DOI: 10.1002/awwa.1922
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Demystifying Digital Twins: Definitions, Applications, and Benefits

Abstract: Key Takeaways For utilities, digital twins are the next step in their digital transformation. Digital twins have various functional purposes and levels of maturity. Digital twins can be used to transfer knowledge from a retiring workforce, support increased customer trust and satisfaction, and optimize operations.

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Cited by 9 publications
(2 citation statements)
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“…This implies that even for the smaller utilities that do have a hydraulic model, if the simulated results do not accurately reflect the field measurements, relying on the model to build sensor allocation models may lead to misguided outputs. Currently, technology vendors may offer utilities a solution to build a real-time hydraulic models by leveraging SCADA systems to record live operational data (Cooper et al, 2022). These real-time hydraulic models represent the state of the art and can be greatly beneficial to aid the hydraulic management goals of the operator.…”
Section: Literature Reviewmentioning
confidence: 99%
“…This implies that even for the smaller utilities that do have a hydraulic model, if the simulated results do not accurately reflect the field measurements, relying on the model to build sensor allocation models may lead to misguided outputs. Currently, technology vendors may offer utilities a solution to build a real-time hydraulic models by leveraging SCADA systems to record live operational data (Cooper et al, 2022). These real-time hydraulic models represent the state of the art and can be greatly beneficial to aid the hydraulic management goals of the operator.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Using IoT, AI and other technologies, the digital twin can monitor and optimise the production process in real time, reduce energy consumption and waste disposal costs, and reduce the impact of the business on the environment. Moreover, the digital twin system can monitor the status of equipment and production lines in real time, and through data analysis and simulation, it can predict potential malfunctions and equipment failures, and carry out repairs and maintenance in advance, which can reduce unexpected malfunctions and down times, and improve the availability and productivity of equipment [29].The above study shows that the use of digital twins has good results compared to traditional operation, management and fault prediction [30]. However, digital twins are dynamic rather than static [31], so the realtime and compatibility of data transmission is yet to be challenged [32].…”
Section: Introductionmentioning
confidence: 99%