EOLES elecRES
From wiki.openmod-initiative.org
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| | |Primary outputs=Annualized cost, Installed capacities and generation and storage profiles | | |Primary outputs=Annualized cost, Installed capacities and generation and storage profiles |
| | |User documentation=http://www2.centre-cired.fr/IMG/pdf/cired_wp_2020_80_shirizadeh_quirion_perrier.pdf | | |User documentation=http://www2.centre-cired.fr/IMG/pdf/cired_wp_2020_80_shirizadeh_quirion_perrier.pdf |
| − | |open_source_licensed=No | + | |open_source_licensed=Yes |
| | + | |license=Creative Commons Attribution Share-Alike 4.0 (CC-BY-SA-4.0) |
| | |model_source_public=Yes | | |model_source_public=Yes |
| | |Link to source=https://github.com/BehrangShirizadeh/EOLES_elecRES | | |Link to source=https://github.com/BehrangShirizadeh/EOLES_elecRES |
Revision as of 13:29, 30 September 2020
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Energy Optimization for Low Emission Systems - renewable electricity
by CIRED
Authors:
Behrang Shirizadeh, Quentin Perrier, Philippe Quirion
Contact:
Behrang Shirizadeh
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EOLES_elecRES is a dispatch and investment model that minimizes the annualized power
generation and storage costs, including the cost of connection to the grid. It includes six
power generation technologies: offshore and onshore wind power, solar photovoltaics
(PV), run-of-river and lake-generated hydro-electricity, and biogas combined with opencycle gas turbines. It also includes three energy storage technologies: pump-hydro
storage (PHS), batteries and methanation combined with open-cycle gas turbines.
Based on . Using for data processing.
Download
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 Open Source
Creative Commons Attribution Share-Alike 4.0 (CC-BY-SA-4.0)
Directly downloadable
Input data shipped
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| Model Scope |
Model type and solution approach |
| Model class
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Electricity System Model
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| Sectors
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Electricity Sector
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| Technologies
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Renewables
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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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| Time resolution
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Hour
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| Network coverage
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transmission
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| Model type
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Optimization, Simulation
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linear optimization of dispatch and investment, solved in CPLEX solver of GAMS
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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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investment cost and operational costs (fixed and variable) minimization
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| Uncertainty modeling
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Deterministic; Perfect foresight; Sensitivity analysis ; Robust decision making
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| Suited for many scenarios / monte-carlo
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No
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References
Scientific references
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