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 language | English |
|---|---|
| Article number | 100967 |
| Journal | SoftwareX |
| Volume | 17 |
| DOIs | |
| Publication status | Published - Jan 2022 |
| MoE publication type | A1 Journal article-refereed |
Funding
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement Nr. 774629.
Keywords
- Data management
- Modelling
- Open source
- Optimisation
- Scenario
- Workflow management
Fingerprint
Dive into the research topics of 'Spine Toolbox: A flexible open-source workflow management system with scenario and data management'. Together they form a unique fingerprint.Research output
- 30 Citations
- 2 Article
-
Sensitivity of a lumped-capacitance building thermal modelling approach for energy-market-scale flexibility studies
Rasku, T., Simson, R. & Kiviluoma, J., 1 Jun 2024, In: Buildings. 14, 6, 1614.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile192 Downloads (Pure) -
Economic model-predictive control of building heating systems using Backbone energy system modelling framework
Rasku, T., Lastusilta, T., Hasan, A., Ramesh, R. & Kiviluoma, J., 12 Dec 2023, In: Buildings. 13, 12, 20 p., 3089.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile6 Link opens in a new tab Citations (Scopus)276 Downloads (Pure)
Projects
- 1 Finished
-
Spine: Open source toolbox for modelling integrated energy systems
Kiviluoma, J. (Manager), Rinne, E. (Participant), Soininen, A. (Participant), Vennström, P. (Participant), Huang, J. (Participant) & Rasku, T. (Participant)
1/10/17 → 30/09/21
Project: EU project
Activities
- 1 Participating in a conference, workshop, ...
-
Second International Energy Agency, Energy in Buildings and Communities, Annex 83 Ph.D. Summer School “Principles of energy system modelling for Positive Energy Districts”
Rasku, T. (Participant)
14 Jun 2023 → 16 Jun 2023Activity: Participating in or organising an event types › Participating in a conference, workshop, ...
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