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| | |sectors=All | | |sectors=All |
| | |technologies=Renewables, Conventional Generation, CHP | | |technologies=Renewables, Conventional Generation, CHP |
| − | |Storage (Gas)=No | + | |Demand sectors=Households, Industry, Transport, Commercial sector, Other |
| − | |Storage (Heat)=No | + | |Energy carrier (Gas)=Natural gas, Biogas, Hydrogen |
| | + | |Energy carrier (Liquid)=Diesel, Ethanol, Petrol |
| | + | |Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium |
| | + | |Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind |
| | + | |Transfer (Electricity)=Transmission |
| | + | |Transfer (Gas)=Transmission |
| | + | |Transfer (Heat)=Transmission |
| | + | |Storage (Electricity)=Battery, CAES, Chemical, Kinetic, PHS |
| | + | |Storage (Gas)=Yes |
| | + | |Storage (Heat)=Yes |
| | |decisions=dispatch, investment | | |decisions=dispatch, investment |
| | |georesolution=User-dependent | | |georesolution=User-dependent |
Latest revision as of 12:29, 14 November 2023
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SpineOpt.jl
by
Authors:
Contact:
|
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
|
 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://dx.doi.org/https://doi.org/10.1016/j.esr.2022.100902
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