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面向国产超算平台的通用能源管网仿真计算模型
引用本文:韩璞,商建东,薛飞,谢景明,王洪生,王海.面向国产超算平台的通用能源管网仿真计算模型[J].计算机应用研究,2024,41(3):866-872.
作者姓名:韩璞  商建东  薛飞  谢景明  王洪生  王海
作者单位:1. 郑州大学计算机与人工智能学院;2. 南阳理工学院信息工程学院;5. 同济大学机械工程学院
基金项目:河南省重大科技专项资助项目(221100210600,201400211000,201400210100);
摘    要:为实现城市能源管网仿真软件的自主可控,基于国产异构高性能计算机“嵩山”超级计算平台,提出一种通用的城市能源管网仿真计算模型。通过优化管网中“非管”组件模型,提高了计算模型对国产异构并行计算机系统的适配性;将不同管网组件的计算过程进行封装,弱化了网络组件在仿真计算过程的依赖性,提升模型在工程实现上的可并行性。供水、燃气和热力三种场景的并行仿真实验,证明了计算模型在解决城市能源供给网络的仿真计算上具有一定的普适性;通过管网实测数据与仿真模型中模拟数据对比结果表明仿真管网压力的误差率在4%以下,其温度的误差率低于2%,同时也说明了提出的管网仿真计算模型在国产超算平台上具有良好的计算通用性。

关 键 词:异构计算  能源管网  仿真模型  流体网络  并行计算
收稿时间:2023/6/20 0:00:00
修稿时间:2024/2/3 0:00:00

Universal computational model for energy supply network simulation based on domestic supercomputer system
Han Pu,Shang Jiandong,Xue Fei,Xie Jingming,Wang Hongsheng and Wang Hai.Universal computational model for energy supply network simulation based on domestic supercomputer system[J].Application Research of Computers,2024,41(3):866-872.
Authors:Han Pu  Shang Jiandong  Xue Fei  Xie Jingming  Wang Hongsheng and Wang Hai
Affiliation:School of Computer and Artificial Intelligence, Zhengzhou University,,,,,
Abstract:In order to realize the independent and controllable simulation software of urban energy pipeline network, this paper proposed a universal urban energy pipe network simulation calculation model based on the domestic heterogeneous high-performance computer "Songshan" supercomputing platform. It enhanced the adaptability to domestic heterogeneous parallel computer systems by optimizing the model of the non-pipe component and simplifying its input and output parameters. Then, it encapsulated the calculation process of different pipe network components, which could reduce the computational dependency of each connected component in the simulation calculation process and improve the parallelism of the engineering implementation of the calculation model. Finally, it also proposed a parallel system solution for energy pipe network simulation with this simulation calculation model. The generality of the suggested computational model had been proved by simulation tests of three separate real pipeline networks for urban water, gas, and heat. The simulated pressure has an error rate of less than 4% and its temperature has an error rate of less than 2%, according to comparisons between the actual network measurements and the simulated data in the network simulation model. These results also show that the proposed pipe network simulation model in the paper provides excellent computational versatility on domestic supercomputing platforms.
Keywords:heterogeneous computing  energy supply network  simulation model  fluid network  parallel computing
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