Assessment on population balance model and wall boiling model for subcooled boiling flow of steam generator of nuclear power plant. (August 2022)

• Record Type: Journal Article
• Authors: Hu, Guang; Zhang, Huang; Liu, Qianfeng
• Is Part Of: Annals of nuclear energy. Volume 173(2022)
• Publication Date: 2022-08
• Subjects: Population balance model -- Wall boiling model -- Subcooled boiling flow -- Bubble behaviors -- Steam generator -- Nuclear power plant; Nuclear energy -- Periodicals; Nuclear engineering -- Periodicals; 621.4805
• DOI: 10.1016/j.anucene.2022.109128
• Languages: English
• ISSNs: 0306-4549

Abstract

Highlights: Non-dimensional analysis between various typical experiment facilities and steam generator (SG) of the nuclear power plant (NPP) are carried out. Influences of the combinations of the PBM kernel and wall boiling model are evaluated. Various parameters including the bubble size distribution are compared and validated with the experiment data. It demonstrates an integral method for the selection of the model combination in the subcooled boiling flow. Abstract: Assessments on the combinations of the population balance model (PBM) and wall boiling model are meaningful for the calculation of the steam generator (SG) of the nuclear power plant (NPP). Firstly, the non-dimensional analysis between the report experiment and the SG of the NPP are carried out. Then, the influences of the models of the active nucleation site density N n combined with the PBM kernels are analyzed. Lastly, the error analysis on the combinations is illustrated. The results show that the one model combination performs relatively better for the calculation of the Sauter mean diameter (SMD) d p (maximum relative error 6.09%), void fraction α (maximum relative error 20.06%) and superficial liquid velocity j l (maximum relative error 2.06%) of the SG of the NPP. This study demonstrates an integral method and process for the selection of the model combinations in the subcooled boiling flow conditions.