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SpineOpt.jl
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SpineOpt is a flexible, open-source, energy system modelling framework for performing operational and planning studies, consisting of a wide spectrum of novel tools and functionalities. The most salient features of SpineOpt include a generic data structure, flexible temporal and spatial structures, a comprehensive representation of uncertainties, and model decomposition capabilities to reduce the computational complexity. These enable the implementation of highly diverse case studies.
Based on Julia/JuMP. Using Python, Spine Toolbox for data processing.
Website / Documentation
Download
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 Open Source
GNU Library or "Lesser" General Public License version 3.0 (LGPL-3.0)
Directly downloadable
Some input data shipped
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| Model Scope |
Model type and solution approach |
| Model class
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Framework
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| Sectors
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All
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| Technologies
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Renewables, Conventional Generation, CHP
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| Decisions
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dispatch, investment
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| Regions
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| Geographic Resolution
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User-dependent
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| Time resolution
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Hour
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| Network coverage
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transmission, DC load flow, net transfer capacities
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| Model type
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Optimization
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Linear programming or mixed integer linear programming
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| Variables
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| Computation time
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minutes
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| Objective
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Cost minimization
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| Uncertainty modeling
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Deterministic, perfect foresight, myopic, stochastic.
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| Suited for many scenarios / monte-carlo
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Yes
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References
Scientific references
[[citation_references::Ihlemann, M., Kouveliotis-Lysikatos, I., Huang, J., Dillon, J., O'Dwyer, C., Rasku, T., Marin, M., Poncelet, K., & Kiviluoma, J. (2022). SpineOpt: A flexible open-source energy system modelling framework. Energy Strategy Reviews, 43, [100902]. https://doi.org/10.1016/j.esr.2022.100902]]
https://dx.doi.org/https://doi.org/10.1016/j.esr.2022.100902
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