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Energy Optimization for Low Emission Systems - electricity
by CIRED
Authors:
Behrang Shirizadeh, Philippe Quirion
Contact:
Behrang Shirizadeh
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The EOLES family of models optimizes the investment and operation of an energy system
in order to minimize the total cost while satisfying energy demand. EOLES_elec is the
electricity version of this family of models. It minimizes the annualized power generation
and storage costs, including the cost of connection to the grid. It includes eight power
generation technologies: offshore and onshore wind power, solar photovoltaics (PV), runof-river and lake-generated hydro-electricity, nuclear power (EPR, i.e. third generation
European pressurized water reactors), open-cycle gas turbines and combined-cycle gas
turbines equipped with post-combustion carbon capture and storage. The latter two
generation technologies burn methane which can come from three sources: fossil natural
gas, biogas from anaerobic digestion and renewable gas from power-to-gas technology
(methanation). EOLES_elec also includes four energy storage technologies: pumped hydro storage (PHS), Li-Ion batteries and two types of methanation (with and without CCS).
Based on GAMS. Using for data processing.
Website / Documentation
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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, Carbon Market
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| Technologies
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Renewables, Conventional Generation
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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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Country level
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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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Simultaneous optimization of dispatch and investment (linear programming), 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 ;
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| Suited for many scenarios / monte-carlo
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No
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References
Scientific references
Shirizadeh, B. & Quirion, P. (2020). Low-carbon options for French power sector: What role for renewables, nuclear energy and carbon capture and storage? Energy Economics, 105004.
https://dx.doi.org/10.1016/j.eneco.2020.105004
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