EOLES elecRES

Revision as of 13:22, 26 May 2020

Energy Optimization for Low Emission Systems renewable electricity

Authors:
Behrang Shirizadeh, Quentin Perrier, Philippe Quirion

Contact:
Behrang Shirizadeh

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.

Not Open Source

Not directly downloadable

No data shipped

Not planned to open up further in the future

Model Scope

Model type and solution approach

Model class	Electricity System Model
Sectors	Electricity Sector
Technologies	Renewables
Decisions	dispatch, investment
Regions
Geographic Resolution
Time resolution	Hour
Network coverage	transmission

Model type	Optimization, Simulation
	linera optimization of dispatch and investment, solved in CPLEX solver of GAMS
Variables
Computation time	minutes
Objective	investment cost and operational costs (fixed and variable)
Uncertainty modeling	Deterministic; Perfect foresight; Sensitivity analysis ; Robust decision making
Suited for many scenarios / monte-carlo	No

References

Scientific references

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@@ Line 33: / Line 33: @@
 |network_coverage=transmission
 |Observation period=More than one year
 |Additional dimensions (Economical)=system-wide LCOE, technology specific LCOE and hourly spot price
 |Additional dimensions (Other)=load curtailment, storage loss and etc.
 |math_modeltype=Optimization, Simulation
 |math_modeltype_shortdesc=linera optimization of dispatch and investment, solved in CPLEX solver of GAMS
 |math_objective=investment cost and operational costs (fixed and variable)
 |deterministic=Deterministic; Perfect foresight; Sensitivity analysis ; Robust decision making
 |is_suited_for_many_scenarios=No
 |montecarlo=No

Author institution	CIRED +
Authors	Behrang Shirizadeh, Quentin Perrier, Philippe Quirion +
Contact email	shirizadeh@centre-cired.fr +
Contact persons	Behrang Shirizadeh +
Data availability
Decisions	dispatch + and investment +
Deterministic	Deterministic; Perfect foresight; Sensitivity analysis ; Robust decision making +
Full Model Name	Energy Optimization for Low Emission Systems renewable electricity +
Is suited for many scenarios	false +
Math modeltype	Optimization + and Simulation +
Math modeltype shortdesc	linera optimization of dispatch and investment, solved in CPLEX solver of GAMS +
Math objective	investment cost and operational costs (fixed and variable) +
Model class	Electricity System Model +
Model source public	false +
Network coverage	transmission +
Open future	false +
Open source licensed	false +
Sectors	Electricity Sector +
Source download
Technologies	Renewables +
Text description	EOLES_elecRES is a dispatch and investment … 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.ion combined with open-cycle gas turbines.
Timeresolution	Hour +
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EOLES elecRES

Revision as of 13:22, 26 May 2020

References

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EOLES elecRES

Revision as of 13:22, 26 May 2020

References

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