Prediction of the internal flow state of the hydraulic units in large pumping stations based on digital twins

March 1, 2026Journal of Hydraulic Engineering

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Key Points

This research aims to develop an efficient method to predict the internal flow states of hydraulic units using digital twins.
Developed a flow state prediction method based on a surrogate model in a Simulink simulation environment.
Constructed a physical field reduced-order model for dynamic interactions.
Conducted system validation on a physical model experimental platform.
Average relative error in predicting static pressure, velocity, and total pressure is maintained below 5%.
Turbulence intensity prediction shows an average relative error of 8.5%.
Simulation time per operational point averages approximately 0.1 seconds, indicating significant efficiency improvement.

Study predicts flow states in hydraulic units, highlighting efficiency in real-time modeling.

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Si et al. (2026) studied this question.

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