Numerical investigation on performance of moisture separator by Lagrangian-Eulerian strategy: Physical mechanisms, theoretical models, and advanced algorithms

作     者：Zhang, Huang Liu, Qianfeng 

作者机构：Washington Univ Dept Energy Environm & Chem Engn St Louis MO 63130 USA Tsinghua Univ Dept Energy & Power Engn Beijing 100084 Peoples R China Tsinghua Univ Key Lab Adv Reactor Engn & Safety Inst Nucl & New Energy Technol Beijing 100084 Peoples R China 

出 版 物：《ANNALS OF NUCLEAR ENERGY》 (核能纪事)

年 卷 期：2020年第137卷

页      面：107081-107081页

核心收录：

学科分类：08[工学] 0827[工学-核科学与技术] 

基　　金：Natural Science Foundation of Beijing [3184051, 3194054] State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation (Chengdu University of Technology) [PLC20190602] 

主　　题：Lagrangian-Eulerian simulation Droplet dynamics Moisture separators Numerical algorithms 

摘      要：Moisture separator (MS) plays a key role in safe and economic operation of most nuclear power plant of light water reactor. Numerical simulation of two-phase flows is widely used to understand the mechanism of MS, and optimize its design. Lagrangian-Eulerian (LE) simulation strategy is a promising modeling approach that can provide the detailed interaction between droplets and steam, and the size distribution of droplets at a certain time, which is able to depict a complete picture of droplet-laden flows in MS. However, there lacks research on systematically reviewing the state-of-the-art progress on developing practical models used in LE simulation for MS. In this work, the physical understanding of different droplet behaviors, which includes droplet generation, droplet motion, droplet collision, droplet-wall impaction and droplet break-up, are first discussed. Second, the practical models of these droplet behaviors are presented, in particular, the models of droplet generation and droplet-wall impaction are examined in detail. Further, four numerical techniques, which covers from numerical discretization schemes, steam properties interpolation, locating a droplet to collision droplet pair search, are introduced for accelerating the implementation of modeling droplet trajectories in MS. At last, needs for future concerned issues are discussed. (C) 2019 Elsevier Ltd. All rights reserved.