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

Authors :
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
Dillon, Joseph
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
Dillon, Joseph
Publication Year :
2022

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.<br />QC 20220406

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1312826282
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.1016.j.softx.2021.100967