Digital Twin Test Bed for Fast Pump-as-Turbine Transition
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Solution Overview
Problem
Existing pump as turbine (PAT) systems face challenges in quickly and safely transitioning between stable working conditions due to the inherent instability and intermittence of renewable energy sources, leading to slow responses and significant security risks.
Innovation Solution
A test-bed for pump as turbine transition process based on digital twinning, comprising a PAT physical model, twinning data system, virtual system, and service system, which utilizes numerical simulation, machine learning, and data processing to optimize the transition process and ensure safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If empiricism is used to judge and adjust the transition process, then the system can operate without complex control mechanisms, but the response is slow and security risks increase
Solution Approach 1:
The patent applies preliminary action by pre-establishing a digital twin model that virtualizes the PAT transition process before actual transitions occur. The digital twin pre-calculates optimal transition paths and parameters, allowing the physical system to execute pre-determined safe transition strategies, thereby achieving fast response without complex real-time control mechanisms.
Solution Approach 2:
The patent creates a digital copy (digital twin) of the PAT system that replicates its transition behavior. This copying allows virtual simulation and optimization of transition processes, enabling the physical system to adopt pre-validated transition strategies from the digital model, thus improving response speed while maintaining controlled complexity.
2Reliability
If digital twinning is implemented for optimizing transition processes, then response speed and safety improve, but device complexity increases
Solution Approach 1:
The patent creates a virtual digital twin model that copies the essential dynamics of the PAT transition process. This digital copy enables safe virtual experimentation and optimization without modifying the physical system's hardware structure, thereby improving reliability while adding minimal physical complexity.
Solution Approach 2:
The patent replaces complex physical trial-and-error testing with virtual numerical simulation in the digital twin environment. This substitution allows comprehensive safety validation and optimization in silico, reducing the need for repeated physical experiments and complex safety instrumentation in the physical system.
3Stability of the object's composition
If numerical simulation is used to obtain optimal operation strategies, then transition stability improves, but computation time and data processing requirements increase
Solution Approach 1:
The patent performs preliminary numerical simulation in the digital twin to pre-determine optimal transition strategies before actual PAT transitions. By calculating and storing optimal paths in advance through virtual simulation, the system achieves stable transitions without requiring lengthy computation during critical transition moments.
Solution Approach 2:
The digital twin serves as a virtual copy where computationally intensive numerical simulations can be performed without affecting the physical system. This copying allows extensive stability optimization calculations to be completed in the virtual environment, with results transferred to guide the physical transition efficiently.
Data Source
AI summary
A test-bed for a pump as turbine transition process based on digital twinning is provided, including a PAT physical model used for controlling the pump as turbine transition process and collecting data of the pump as turbine transition process; a PAT twinning data system used for processing the data of the pump as turbine transition process to obtain a measurement database; a PAT twinning virtual system used for carrying out numerical simulation on the pump as turbine transition process based on the measurement database to obtain a value obtained by numerical simulation of a PAT virtual system; and a PAT service system used for processing the value obtained by the numerical simulation of the PAT virtual system, obtaining an optimal operation strategy and feeding the strategy back to the PAT physical model, and updating the measurement database at the same time.