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Development of scaling approach based on experimental and CFD data for thermal stratification and mixing induced by steam injection through spargers

  • Xicheng Wang (Royal Institute of Technology (KTH), Division of Nuclear Engineering) ;
  • Dmitry Grishchenko (Royal Institute of Technology (KTH), Division of Nuclear Engineering) ;
  • Pavel Kudinov (Royal Institute of Technology (KTH), Division of Nuclear Engineering)
  • 투고 : 2023.08.21
  • 심사 : 2023.12.24
  • 발행 : 2024.03.25

초록

Advanced Pressurized Water Reactors (APWRs) and Boiling Water Reactors (BWRs) employ a suppression pool as a heat sink to prevent containment overpressure. Steam can be discharged into the pool through multi-hole spargers or blowdown pipes in both normal and accident conditions. Direct Contact Condensation (DCC) creates sources of momentum and heat. The competition between these two sources determines the development of thermal stratification or mixing of the pool. Thermal stratification is of safety concern as it reduces the cooling capability compared to a completely mixed pool condition. In this work we develop a scaling approach to prediction of the thermal stratification in a water pool induced by steam injection through spargers. Experimental data obtained from large-scale pool tests conducted in the PPOOLEX and PANDA facilities, as well as simulation results obtained using validated codes are used to develop the scaling. Two injection orientations, namely radial injection through multi-hole Sparger Head (SH) and vertical injection through Load Reduction Ring (LRR), are considered. We show that the erosion rate of the cold layer can be estimated using the Richardson number. In this work, scaling laws are proposed to estimate both the (i) transient erosion velocity and (ii) the stable position of the thermocline. These scaling laws are then implemented into a 1D model to simulate the thermal behavior of the pool during steam injection through the sparger.

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과제정보

The authors are thankful to the Swedish Radiation Safety Authority (SSM) for support of the authors participation in the OECD/NEA HYMERES 1 and 2 projects. The authors are thankful for the feedback and discussions with the experts of the HYMERES-2 project and are also grateful to colleagues at the PPOOLEX facility in LUT and support from NKS (Nordic Nuclear Safety Research) for the NKS-THEOS project. The computations were enabled by resources provided by the Swedish National Infrastructure for Computing (SNIC) at SNIC CENTRE, KTH partially funded by the Swedish Research Council through grant agreement no.2018-05973".

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