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July 31, 2025Deleted Journal

Digital Twins for Water Utilities: Architectures, Calibration Workflows and Measured Benefits

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Key Points

Measured benefits include high prediction accuracy, improved leak detection, and energy savings.
Calibration workflows utilize hydraulic models and machine-learning algorithms to enhance accuracy.
Typical architectures integrate physical sensors, communication networks, and simulation engines across water systems.
Challenges related to data quality and computational demands may hinder the broader adoption of digital twins.

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Implication

This review highlights calibration workflows and measured benefits of digital twins in water utilities, indicating transformative potential.

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Cite This Study

Qi Li (2025) studied this question.

synapsesocial.com/papers/68f3eb011cfc5ad53f2908b4 https://doi.org/10.62051/ijmee.v6n3.05

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