An Efficient Scheme for Coupling OpenMC and FLUENT with Adaptive Load Balancing

Zhang, Qingyang; Peng, Tao; Zhang, Guangchun; Liu, Jie; Guo, Xijing; Gong, Chunye; Yang, Bo; Fan, Xukai

doi:10.1155/2021/5549602

Cited by 8 publications

(3 citation statements)

References 32 publications

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“…As a result, a stable and efficient solution is needed for the whole HTR nuclear power plant. Traditional methods for solving coupled systems are the operator splitting method [2] and the Picard iteration method [3,4], but these two methods cannot be competent for such large-scale and complex problems, due to their weak stability and linear convergence rate. The JFNK (Jacobian-free Newton-Krylov) method is a promising method to solve this challenging issue, which could realize all the physical field synchronization convergence and has a higher convergence rate and stronger stability than the traditional methods [5].…”

Section: Introductionmentioning

confidence: 99%

A Modified JFNK for Solving the HTR Steady State Secondary Circuit Problem

Jiang

Zhang

et al. 2023

Energies

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A nuclear power plant is a complex coupling system, which features multi-physics coupling between reactor physics and thermal-hydraulics in the reactor core, as well as the multi-circuit coupling between the primary circuit and the secondary circuit by the shared steam generator (SG). Especially in the pebble-bed modular HTR nuclear power plant, different nuclear steam supply modules are further coupled together through the shared main steam pipes and the related equipment in the secondary circuit, since the special configuration of multiple reactor modules connects to a steam turbine. The JFNK (Jacobian-Free Newton–Krylov) method provides a promising coupling framework to solve the whole HTR nuclear power plant problem, due to its excellent convergence rate and strong robustness. In this work, the JFNK method was modified and applied to the steady-state calculation of the HTR secondary circuit, which plays an important role in simultaneous solutions for the whole HTR nuclear power plant. The main components in the secondary circuit included SG, steam turbine, condenser, feed pump, high/low-pressure heat exchanger, deaerator, as well as the extraction steam from the steam turbine. The results showed that the JFNK method can effectively solve the steady state issue of the HTR secondary circuit. Moreover, the JFNK method could converge well within a wide range of initial values, indicating its strong robustness.

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Section: Introductionmentioning

confidence: 99%

A Modified JFNK for Solving the HTR Steady State Secondary Circuit Problem

Jiang

Zhang

et al. 2023

Energies

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“…Several coupling algorithms have been developed to solve this large-scale neutronics/thermal-hydraulics nonlinear system. Picard iteration is the most common method since it could fully reuse the existing codes for individual physics [1][2][3]. Specifcally, in Picard iteration, the coupling boundary information is exchanged between diferent physical felds to consider the coupling efect, while each physical feld is still solved by the original existing code.…”

Section: Introductionmentioning

confidence: 99%

A Reduced Order Model Based on ANN-POD Algorithm for Steady-State Neutronics and Thermal-Hydraulics Coupling Problem

Liu

Han

2023

Science and Technology of Nuclear Installations

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The neutronics and thermal-hydraulics (N/TH) coupling behavior analysis is a key issue for nuclear power plant design and safety analysis. Due to the high-dimensional partial differential equations (PDEs) derived from the N/TH system, it is usually time consuming to solve such a large-scale nonlinear equation by the traditional numerical solution method of PDEs. To solve this problem, this work develops a reduced order model based on the proper orthogonal decomposition (POD) and artificial neural networks (ANNs) to simulate the N/TH coupling system. In detail, the POD method is used to extract the POD modes and corresponding coefficients from a set of full-order model results under different boundary conditions. Then, the backpropagation neural network (BPNN) is utilized to map the relationship between the boundary conditions and POD coefficients. Therefore, the physical fields under the new boundary conditions could be calculated by the predicated POD coefficients from ANN and POD modes from snapshot. In order to assess the performance of an ANN-POD-based reduced order method, a simplified pressurized water reactor model under different inlet coolant temperatures and inlet coolant velocities is utilized. The results show that the new reduced order model can accurately predict the distribution of the physical fields, as well as the effective multiplication factor in the N/TH coupling nuclear system, whose relative errors are within 1%.

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“…The realization and parallel performance of the PI algorithm of grouped Gauss-Seidel type and grouped Jacobi type were studied. The results show that the adaptive load balancing algorithm can improve the computational efficiency of the block Jacobi algorithm and the performance of the Gauss-Seidel algorithm [30]. Cheng et al simulated the whole process of water flow and reconnection for the pumped storage system, and showed that the two high-amplitude single pulses generated by the axial force and radial force of the flow channel during this process are destructive [31].…”

Section: Introductionmentioning

confidence: 99%

A 1D-3D Coupling Model to Evaluate Hydropower Generation System Stability

et al. 2022

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This paper proposes a novel 1D-3D approach for the stability characteristics of the hydropower generation system (HGS) in transition processes. First, a 1D-3D coupling model was established for the HGS in the load-reduction process. Second, a sensitivity analysis of the HGS’s parameters to the rotation speed and discharge was conducted. Third, the pressure pulsation characteristics of the HGS with three typical guide vane openings were analyzed during the load-reduction process. The results show that with the closure of the guide vane, the discharge gradually decreases and it is sensitive to the change in hydraulic parameters. The rotation speed fluctuates at the early stage of the transition process and is easily affected by mechanical parameters. In addition, the pressure pulsation inside the Francis turbine is more intense under small openings than large openings, and the primary frequency of pressure pulsation under three opening degrees is the blade frequency. The 1D-3D coupling model successfully integrates the advantages of traditional methods and provides a reference for predicting system stability and exploring the stability mechanism.

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An Efficient Scheme for Coupling OpenMC and FLUENT with Adaptive Load Balancing

Cited by 8 publications

References 32 publications

A Modified JFNK for Solving the HTR Steady State Secondary Circuit Problem

A Modified JFNK for Solving the HTR Steady State Secondary Circuit Problem

A Reduced Order Model Based on ANN-POD Algorithm for Steady-State Neutronics and Thermal-Hydraulics Coupling Problem

A 1D-3D Coupling Model to Evaluate Hydropower Generation System Stability

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