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LNG冷箱中降温过程的动态模拟并行计算
引用本文:王琳,李玉星,朱建鲁,王娅婷,盛欢欢,王武昌.LNG冷箱中降温过程的动态模拟并行计算[J].中国石油大学学报(自然科学版),2014(4):148-153.
作者姓名:王琳  李玉星  朱建鲁  王娅婷  盛欢欢  王武昌
作者单位:中国石油大学储运与建筑工程学院;
基金项目:国家重大科技专项(2011ZX05026-006-07);中央高校基本科研业务费专项(13CX06064A)
摘    要:由于单核计算无法承担LNG冷箱中降温过程动态模拟的高负荷,采用共享内存模式下的对称多核并行计算方法实现带预冷的氮膨胀液化流程中冷箱降温过程的动态模拟。动态模型中,板翅式换热器采用一维模型,压缩机、膨胀机和节流阀按稳态元件处理;并行方法中,根据并行机特征和液化流程特点进行计算单元的划分及边界耦合,利用路障对每个积分步进行同步控制,通过显式的函数调用进行单元间通信。将模拟结果与试验数据进行对比,验证动态模型和并行方法的合理性。模拟结果表明:工质的降温速率主要取决于膨胀机多变效率;该并行方法使模拟进程加速23倍,计算结点效率是单核计算的3.83倍。

关 键 词:天然气液化  冷箱降温  动态模拟  多指令流多数据流  多核  并行计算
收稿时间:2013/11/23 0:00:00

Parallel computation of dynamic simulation of cool down process in LNG cold box
WANG Lin,LI Yuxing,ZHU Jianlu,WANG Yating,SHENG Huanhuan and WANG Wuchang.Parallel computation of dynamic simulation of cool down process in LNG cold box[J].Journal of China University of Petroleum,2014(4):148-153.
Authors:WANG Lin  LI Yuxing  ZHU Jianlu  WANG Yating  SHENG Huanhuan and WANG Wuchang
Institution:WANG Lin;LI Yuxing;ZHU Jianlu;WANG Yating;SHENG Huanhuan;WANG Wuchang;College of Pipeline and Civil Engineering in China University of Petroleum;
Abstract:As the single-core can ''t afford the high load of dynamic simulation of the cool down process in LNG cold box, a symmetric multi-core parallel computing method under shared memory was proposed to implement the dynamic simulation of the cool down process in cold box of nitrogen expansion liquefaction process with pre-cooling. In dynamic mathematical models, one-dimensional model is used in the simulation of plate-fin heat exchanger, and compressor, expander and throttle were treated as steady-state operations. In parallel methods, compute units were divided and coupled in the boundary based on the characteristics of parallel machine and liquefaction process. The simulation processes of parallel units were controlled using synchronization barrier, and the data were communicated through explicit function calls. The comparison of simulation results with experimental data shows that the dynamic models and parallel methods were reasonable. The simulation results show that the cooling rate of the working fluid depends mainly on the polytropic efficiency of the expanders. The result of performance test of parallel computation shows that the parallel method accelerates the simulation process 23 times, and the efficiency of computing nodes is 3.83 times the efficiency of the single-core computing.
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