Simulation Process and Data Flow for Large System Dynamics Models

Brian Bush, Dana Stright, Jay Huggins, Emily Newes

Research output: Contribution to journalArticlepeer-review

2 Scopus Citations


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.

Original languageAmerican English
Pages (from-to)823-833
Number of pages11
Issue number9
StatePublished - Sep 2022

Bibliographical note

Publisher Copyright:
© The Author(s) 2022.

NREL Publication Number

  • NREL/JA-6A20-71852


  • biomass scenario model
  • ensemble steering
  • simulation analytics
  • System dynamics
  • visual analytics


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