Simulation process and data flow for a large system dynamics model

IF 1.3 4区 工程技术 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
B. Bush, Dana Stright, Jay Huggins, Emily K. Newes
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引用次数: 2

Abstract

This paper documents the workflow and supporting technologies that a large system dynamics model, the biomass scenario model, employs to streamline the data preparation, simulation, quality control, and analysis process at the National Renewable Energy Laboratory. The workflow centers on automation of routine aspects of the flow of data between data stores, simulations, and visualizations. It enforces quality checks on data, reproducibility of computations, and traceability of results, while maintaining complete archives of modeling and analysis artifacts. The resulting frictionless simulation/analysis environment supports large-scale sensitivity analysis, interactive creation of ensembles of simulations, and rapid visualization-based exploration of simulation results.
大型系统动力学模型的仿真过程和数据流
本文记录了一个大型系统动力学模型——生物质情景模型——用于简化国家可再生能源实验室的数据准备、模拟、质量控制和分析过程的工作流程和支持技术。工作流集中于数据存储、模拟和可视化之间的数据流的日常方面的自动化。它加强了对数据的质量检查、计算的再现性和结果的可追溯性,同时维护了建模和分析工件的完整存档。由此产生的无摩擦仿真/分析环境支持大规模灵敏度分析、仿真集成的交互式创建以及基于仿真结果的快速可视化探索。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.50
自引率
31.20%
发文量
60
审稿时长
3 months
期刊介绍: SIMULATION is a peer-reviewed journal, which covers subjects including the modelling and simulation of: computer networking and communications, high performance computers, real-time systems, mobile and intelligent agents, simulation software, and language design, system engineering and design, aerospace, traffic systems, microelectronics, robotics, mechatronics, and air traffic and chemistry, physics, biology, medicine, biomedicine, sociology, and cognition.
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