Reduced Order Modeling of Once-through Steam Generator Based on Dynamic Mode Decomposition

Xu Yifan; Peng Minjun; Xia Genglei

doi:10.13832/j.jnpe.2024.03.0085

Volume 45 Issue 3

Jun. 2024

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Xu Yifan, Peng Minjun, Xia Genglei. Reduced Order Modeling of Once-through Steam Generator Based on Dynamic Mode Decomposition[J]. Nuclear Power Engineering, 2024, 45(3): 85-94. doi: 10.13832/j.jnpe.2024.03.0085

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Xu Yifan, Peng Minjun, Xia Genglei. Reduced Order Modeling of Once-through Steam Generator Based on Dynamic Mode Decomposition[J]. Nuclear Power Engineering, 2024, 45(3): 85-94. doi: 10.13832/j.jnpe.2024.03.0085

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Reduced Order Modeling of Once-through Steam Generator Based on Dynamic Mode Decomposition

doi: 10.13832/j.jnpe.2024.03.0085

College of Nuclear Science and Technology, Harbin Engineering University, Harbin, 150001, China

Received Date: 2023-07-22
Rev Recd Date: 2023-10-14
Publish Date: 2024-06-13

Abstract

Abstract

The operation characteristics of once-through steam generator (OTSG) have an important influence on the safety of the reactor. The large-scale and refined simulation model provides high fidelity simulation results for the thermal hydraulic characteristics and safety analysis of OTSG, but it also challenges the computing resources. Dynamic Mode Decomposition with Control (DMDc) is a data-driven model order reduction (MOR) method, which can establish a low-dimensional and accurate input-output model for the system with control inputs on the basis of dynamic mode decomposition (DMD) to replace the high-fidelity model for fast calculation. Considering that the thermal parameters of OTSG, such as steam pressure, are affected by the reactor control system in actual operation, the full-order model established by RELAP5 is used to obtain the high-fidelity simulation results of the main thermal parameters of OTSG under the conditions of rapid load reduction and rapid load increase, and the reduced-order model (ROM) of OTSG is established based on DMDc. The results show that DMDc can extract the dynamic characteristics of OTSG under variable load conditions, and the maximum relative error between the calculation results of reduced-order model and the full-order model is less than 2%. In addition, the effects of DMDc and DMD methods on OTSG reduced-order modeling are compared, which proves the superiority of DMDc method.

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References(28)

References

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