Spine Toolbox: A flexible open-source workflow management system with scenario and data management

Juha Kiviluoma, Fabiano Pallonetto (Corresponding Author), Manuel Marin, Pekka T. Savolainen, Antti Soininen, Per Vennström, Jiangyi Huang, Iasonas Kouveliotis-Lysikatos, Maren Ihlemann, Erik Delarue, Ciara O'Dwyer, Terence O'Donnel, Mikael Amelin, Lennart Söder, Joseph Dillon

Research output: Contribution to journalArticleScientificpeer-review

6 Citations (Scopus)

Abstract

The Spine Toolbox is open-source software for defining, managing, simulating and optimising energy system models. It gives the user the ability to collect, create, organise, and validate model input data, execute a model with selected data and finally archive and visualise results/output data. Spine Toolbox has been designed and developed to support the creation and execution of multivector energy integration models. It conveniently facilitates the linking of models with different scopes, or spatio-temporal resolutions, through the user interface. The models can be organised as a direct acyclic graph and efficiently executed through the embedded workflow management engine. The software helps users to import and manage data, define models and scenarios and orchestrate projects. It supports a self-contained and shareable entity-relationship data structure for storing model parameter values and the associated data. The software is developed using the latest Python environment and supports the execution of plugins. It is shipped in an installation package as a desktop application for different operating systems.
Original languageEnglish
Article number100967
JournalSoftwareX
Volume17
DOIs
Publication statusPublished - Jan 2022
MoE publication typeA1 Journal article-refereed

Keywords

  • Data management
  • Modelling
  • Open source
  • Optimisation
  • Scenario
  • Workflow management

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