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


    Kiviluoma, Juha, Pallonetto, Fabiano, Marin, Manuel, Savolainen, Pekka T., Soininen, Antti, Vennström, Per, Rinne, Erkka, Huang, Jiangyi, Kouveliotis-Lysikatos, Iasonas, Ihlemann, Maren, Delarue, Erik, O’Dwyer, Ciara, O’Donnel, Terence, Amelin, Mikael, Söder, Lennart and Dillon, Joseph (2022) Spine Toolbox: A flexible open-source workflow management system with scenario and data management. SoftwareX, 17. p. 100967. ISSN 23527110

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    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.
    Item Type: Article
    Keywords: Workflow management; Data management; Modelling; Optimisation; Open source; Scenario;
    Academic Unit: Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Faculty of Social Sciences > Research Institutes > Innovation Value Institute, IVI
    Faculty of Social Sciences > School of Business
    Item ID: 15603
    Identification Number: 10.1016/j.softx.2021.100967
    Depositing User: Fabiano Pallonetto
    Date Deposited: 01 Mar 2022 16:16
    Journal or Publication Title: SoftwareX
    Publisher: Elsevier
    Refereed: Yes
    Related URLs:
    URI: https://mu.eprints-hosting.org/id/eprint/15603
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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