A universal parallel simulation framework for energy pipeline networks on high-performance computers

被引:3
作者
Han, Pu [1 ,3 ]
Hua, Haobo [4 ]
Wang, Hai [6 ]
Xue, Fei [5 ]
Wu, Changmao [7 ]
Shang, Jiandong [1 ,2 ]
机构
[1] Zhengzhou Univ, Sch Comp & Artificial Intelligence, 100 Sci Ave, Zhengzhou 450001, Henan, Peoples R China
[2] Natl Supercomp Ctr Zhengzhou, 123 Fengyang Rd, Zhengzhou 450001, Henan, Peoples R China
[3] Nanyang Inst Technol, Sch Informat Engn, 80 Changjiang Rd, Nanyang 450051, Henan, Peoples R China
[4] Zhengzhou Univ Aeronaut, Sch Math, 15 Wenyuan West Rd, Zhengzhou 450046, Henan, Peoples R China
[5] Henan Paifu Informat Technol Co Ltd, 289 West 3rd Ring Rd, Zhengzhou 450001, Henan, Peoples R China
[6] Tongji Univ, Sch Mech Engn, 4800 Caoan Rd, Shanghai 201804, Peoples R China
[7] Chinese Acad Sci, Inst Software, Lab Parallel Software & Computat Sci, 4 South Fourth St, Beijing 100190, Peoples R China
关键词
AMD DCU; Energy pipeline network; High-performance computing; Parallel computing framework; Pipelines fluid computation; Simulation modeling; HYDRAULIC SIMULATION; DYNAMIC SIMULATION; GAS-FLOW; MODEL; SYSTEM; EQUATION;
D O I
10.1007/s11227-024-05996-z
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Energy distribution networks represent crucial infrastructures for modern society, and various simulation tools have been widely used by energy suppliers to manage these intricate networks. However, simulation calculations include a large number of fluid control equations, and computational overhead limits the performance of simulation software. This paper proposes a universal parallel simulation framework for energy pipeline networks that takes advantages of data parallelism and computational independence between network elements. A non-pipe model of an energy supply network is optimized, and the input and output of the network model in the proposed framework are modified, which can reduce the development burden during the numerical computations of the pipeline network and weaken the computational correlation between different simulated components. In addition, independent computations can be performed concurrently through periodic data exchange procedures between component instances, improving the parallelism and efficiency of simulation computations. Further, a parallel water pipelines network simulation computing paradigm based on a heterogeneous computer hardware architecture is used to evaluate the proposed framework's performance. A series of tests are conducted to verify the accuracy of the proposed framework, and simulation errors of less than 5% are achieved. The results of multi-threaded simulation experiments have demonstrated the feasibility of the proposed framework in a parallel computing approach. Moreover, an Advanced Micro Devices (AMD) Deep Computing Unit (DCU)-parallel program is implemented into a water supply network simulation system; the computational efficiency of this system is compared with that of its serial counterpart. The experimental results show that the proposed framework is appropriate for high-performance computer architectures, and the 18x speed-up ratio demonstrates that the parallel program based on the proposed universal framework outperforms the serial program. That provides the basis for the application of pipe network simulation on high-performance computers.
引用
收藏
页码:14085 / 14115
页数:31
相关论文
共 46 条
[1]   Numerical study of pipeline leak detection for gas-liquid stratified flow [J].
Adegboye, Mutiu Adesina ;
Karnik, Aditya ;
Fung, Wai-Keung .
JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING, 2021, 94
[2]   Parallel computation for streamflow prediction with distributed hydrologic models [J].
Apostolopoulos, TK ;
Georgakakos, KP .
JOURNAL OF HYDROLOGY, 1997, 197 (1-4) :1-24
[3]   Developed hydraulic simulation model for water pipeline networks [J].
Ayad, A. ;
Awad, H. ;
Yassin, A. .
ALEXANDRIA ENGINEERING JOURNAL, 2013, 52 (01) :43-49
[4]   The accuracy and efficiency of a reduced-order model for transient flow analysis in gas pipelines [J].
Behbahani-Nejad, M. ;
Shekari, Y. .
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2010, 73 (1-2) :13-19
[5]   An efficient parallel computing strategy for the processing of large GNSS network datasets [J].
Cui, Yang ;
Chen, Zhengsheng ;
Li, Linyang ;
Zhang, Qinghua ;
Luo, Sheng ;
Lu, Zhiping .
GPS SOLUTIONS, 2021, 25 (02)
[6]   Complex network and fractal theory for the assessment of water distribution network resilience to pipe failures [J].
Di Nardo, Armando ;
Di Natale, Michele ;
Giudicianni, Carlo ;
Greco, Roberto ;
Santonastaso, Giovanni Francesco .
WATER SCIENCE AND TECHNOLOGY-WATER SUPPLY, 2018, 18 (03) :767-777
[7]   Water distribution system clustering and partitioning based on social network algorithms [J].
Di Nardo, Armando ;
Di Natale, Michele ;
Giudicianni, Carlo ;
Musmarra, Dino ;
Santonastaso, Giovanni Francesco ;
Simone, Antonietta .
COMPUTING AND CONTROL FOR THE WATER INDUSTRY (CCWI2015): SHARING THE BEST PRACTICE IN WATER MANAGEMENT, 2015, 119 :196-205
[8]   Simulation of transient gas flow using the orthogonal collocation method [J].
Ebrahimzadeh, Edris ;
Shahrak, Mahdi Niknam ;
Bazooyar, Bahamin .
CHEMICAL ENGINEERING RESEARCH & DESIGN, 2012, 90 (11) :1701-1710
[9]   Dynamic Simulation of Natural Gas Transmission Pipeline Systems through Autoregressive Neural Networks [J].
Fakhroleslam, Mohammad ;
Boozarjomehry, Ramin Bozorgmehry ;
Sahlodin, Ali M. ;
Sin, Gurkan ;
Mansouri, Seyed Soheil .
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2021, 60 (27) :9851-9859
[10]   Diagnosis of the single leakage in the fluid pipeline through experimental study and CFD simulation [J].
Fu, Hao ;
Yang, Lu ;
Liang, Huirong ;
Wang, Sai ;
Ling, Kegang .
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2020, 193