wiki.openmod-initiative.org - User contributions [en]

EOLES elecRES

2020-12-31T10:54:45Z

Behrang Shirizadeh:

{{Model
|Full_Model_Name=Energy Optimization for Low Emission Systems - renewable electricity
|Acronym=EOLES_elecRES
|author_institution=CIRED
|authors=Behrang Shirizadeh, Quentin Perrier, Philippe Quirion
|contact_persons=Behrang Shirizadeh
|contact_email=shirizadeh@centre-cired.fr
|source_download=https://github.com/BehrangShirizadeh/EOLES_elecRES
|text_description=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.
|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
|Code documentation=https://github.com/BehrangShirizadeh/EOLES_elecRES
|open_source_licensed=Yes
|license=Creative Commons Attribution Share-Alike 4.0 (CC-BY-SA-4.0)
|model_source_public=Yes
|Link to source=https://github.com/BehrangShirizadeh/EOLES_elecRES
|data_availability=all
|open_future=No
|modelling_software=GAMS
|GUI=No
|model_class=Electricity System Model
|sectors=Electricity Sector
|technologies=Renewables
|Demand sectors=Households, Industry, Transport, Commercial sector, Other
|Energy carrier (Gas)=Biogas
|Energy carriers (Renewable)=Hydro, Sun, Wind
|Transfer (Electricity)=Transmission
|Transfer (Gas)=Transmission
|Storage (Electricity)=Battery, Chemical, PHS
|Storage (Gas)=Yes
|Storage (Heat)=No
|User behaviour=Inelastic demand - Optimization from social planner perspective
|Market models=Electricity market
|decisions=dispatch, investment
|Changes in efficiency=fixed
|georesolution=Coutry
|timeresolution=Hour
|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=Simultaneous optimization of dispatch and investment (linar programming), solved in CPLEX solver of GAMS
|math_objective=investment cost and operational costs (fixed and variable) minimization
|deterministic=Deterministic; Perfect foresight; Sensitivity analysis ; Robust decision making
|is_suited_for_many_scenarios=No
|montecarlo=No
|citation_references=Shirizadeh, B., Perrier, Q. & Quirion, P. (2022) How sensitive are optimal fully renewable systems to technology cost uncertainty? The Energy Journal, Vol 43, No. 1
|citation_doi=10.5547/01956574.43.1.bshi
|Model input file format=No
|Model file format=No
|Model output file format=No
}}

EOLES elec

2020-12-31T10:54:13Z

Behrang Shirizadeh:

{{Model
|Full_Model_Name=Energy Optimization for Low Emission Systems - electricity
|Acronym=EOLES_elec
|author_institution=CIRED
|authors=Behrang Shirizadeh, Philippe Quirion
|contact_persons=Behrang Shirizadeh
|contact_email=mailto:shirizadeh@centre-cired.fr
|website=http://www.centre-cired.fr/fr/behrang-shirizadeh/
|text_description=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).
|Primary outputs=Annualized cost, Installed capacities and generation and storage profiles
|User documentation=http://www2.centre-cired.fr/IMG/pdf/cired_wp_2020_79_shirizadeh_quirion.pdf
|Code documentation=https://github.com/BehrangShirizadeh/EOLES_elec
|open_source_licensed=Yes
|license=Creative Commons Attribution Share-Alike 4.0 (CC-BY-SA-4.0)
|model_source_public=Yes
|Link to source=https://github.com/BehrangShirizadeh/EOLES_elec
|data_availability=all
|open_future=No
|modelling_software=GAMS
|GUI=No
|model_class=Electricity System Model,
|sectors=Electricity Sector, Carbon Market,
|technologies=Renewables, Conventional Generation
|Demand sectors=Households, Industry, Transport, Commercial sector, Other
|Energy carrier (Gas)=Natural gas, Biogas, Hydrogen
|Energy carriers (Solid)=Uranium
|Energy carriers (Renewable)=Hydro, Sun, Wind
|Transfer (Electricity)=Transmission
|Transfer (Gas)=Transmission
|Storage (Electricity)=Battery, Chemical, PHS
|Storage (Gas)=Yes
|Storage (Heat)=No
|User behaviour=Inelastic demand
|Market models=Electricity and carbon markets
|decisions=dispatch, investment
|Changes in efficiency=fixed
|georesolution=Country level
|timeresolution=Hour
|network_coverage=transmission
|Observation period=More than one year
|Additional dimensions (Ecological)=CO2 emissions, CO2 storage need
|Additional dimensions (Economical)=system-wide LCOE, technology specific LCOE, hourly spot price, Social cost, Technical cost and Carbon and Energy market revenues
|Additional dimensions (Social)=Social cost of Carbon, Social cost of System
|Additional dimensions (Other)=load curtailment, storage loss and etc.
|math_modeltype=Optimization, Simulation
|math_modeltype_shortdesc=Simultaneous optimization of dispatch and investment (linear programming), solved in CPLEX solver of GAMS
|math_objective=investment cost and operational costs (fixed and variable) minimization
|deterministic=Deterministic; Perfect foresight; Sensitivity analysis ;
|is_suited_for_many_scenarios=No
|montecarlo=No
|citation_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.
|citation_doi=10.1016/j.eneco.2020.105004
|Model input file format=No
|Model file format=No
|Model output file format=No
}}

EOLES elecRES

2020-12-31T10:53:01Z

Behrang Shirizadeh:

{{Model
|Full_Model_Name=Energy Optimization for Low Emission Systems - renewable electricity
|Acronym=EOLES_elecRES
|author_institution=CIRED
|authors=Behrang Shirizadeh, Quentin Perrier, Philippe Quirion
|contact_persons=Behrang Shirizadeh
|contact_email=shirizadeh@centre-cired.fr
|source_download=https://github.com/BehrangShirizadeh/EOLES_elecRES
|text_description=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.
|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
|Code documentation=https://github.com/BehrangShirizadeh/EOLES_elecRES
|open_source_licensed=Yes
|license=Creative Commons Attribution Share-Alike 4.0 (CC-BY-SA-4.0)
|model_source_public=Yes
|Link to source=https://github.com/BehrangShirizadeh/EOLES_elecRES
|data_availability=all
|open_future=No
|modelling_software=GAMS
|GUI=No
|model_class=Electricity System Model
|sectors=Electricity Sector
|technologies=Renewables
|Demand sectors=Households, Industry, Transport, Commercial sector, Other
|Energy carrier (Gas)=Biogas
|Energy carriers (Renewable)=Hydro, Sun, Wind
|Transfer (Electricity)=Transmission
|Transfer (Gas)=Transmission
|Storage (Electricity)=Battery, Chemical, PHS
|Storage (Gas)=Yes
|Storage (Heat)=No
|User behaviour=Inelastic demand - Optimization from social planner perspective
|Market models=Electricity market
|decisions=dispatch, investment
|Changes in efficiency=fixed
|georesolution=Coutry
|timeresolution=Hour
|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=Simultaneous optimization of dispatch and investment (linar programming), solved in CPLEX solver of GAMS
|math_objective=investment cost and operational costs (fixed and variable) minimization
|deterministic=Deterministic; Perfect foresight; Sensitivity analysis ; Robust decision making
|is_suited_for_many_scenarios=No
|montecarlo=No
|citation_references=Shirizadeh, B., Perrier, Q. & Quirion, P. (2022) How sensitive are optimal fully renewable systems to technology cost uncertainty? The Energy Journal, Vol 43, No. 1
|citation_doi=https://doi.org/10.5547/01956574.43.1.bshi
|Model input file format=No
|Model file format=No
|Model output file format=No
}}

EOLES elec

2020-12-31T10:48:30Z

Behrang Shirizadeh:

{{Model
|Full_Model_Name=Energy Optimization for Low Emission Systems - electricity
|Acronym=EOLES_elec
|author_institution=CIRED
|authors=Behrang Shirizadeh, Philippe Quirion
|contact_persons=Behrang Shirizadeh
|contact_email=mailto:shirizadeh@centre-cired.fr
|website=http://www.centre-cired.fr/fr/behrang-shirizadeh/
|text_description=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).
|Primary outputs=Annualized cost, Installed capacities and generation and storage profiles
|User documentation=http://www2.centre-cired.fr/IMG/pdf/cired_wp_2020_79_shirizadeh_quirion.pdf
|Code documentation=https://github.com/BehrangShirizadeh/EOLES_elec
|open_source_licensed=Yes
|license=Creative Commons Attribution Share-Alike 4.0 (CC-BY-SA-4.0)
|model_source_public=Yes
|Link to source=https://github.com/BehrangShirizadeh/EOLES_elec
|data_availability=all
|open_future=No
|modelling_software=GAMS
|GUI=No
|model_class=Electricity System Model,
|sectors=Electricity Sector, Carbon Market,
|technologies=Renewables, Conventional Generation
|Demand sectors=Households, Industry, Transport, Commercial sector, Other
|Energy carrier (Gas)=Natural gas, Biogas, Hydrogen
|Energy carriers (Solid)=Uranium
|Energy carriers (Renewable)=Hydro, Sun, Wind
|Transfer (Electricity)=Transmission
|Transfer (Gas)=Transmission
|Storage (Electricity)=Battery, Chemical, PHS
|Storage (Gas)=Yes
|Storage (Heat)=No
|User behaviour=Inelastic demand
|Market models=Electricity and carbon markets
|decisions=dispatch, investment
|Changes in efficiency=fixed
|georesolution=Country level
|timeresolution=Hour
|network_coverage=transmission
|Observation period=More than one year
|Additional dimensions (Ecological)=CO2 emissions, CO2 storage need
|Additional dimensions (Economical)=system-wide LCOE, technology specific LCOE, hourly spot price, Social cost, Technical cost and Carbon and Energy market revenues
|Additional dimensions (Social)=Social cost of Carbon, Social cost of System
|Additional dimensions (Other)=load curtailment, storage loss and etc.
|math_modeltype=Optimization, Simulation
|math_modeltype_shortdesc=Simultaneous optimization of dispatch and investment (linear programming), solved in CPLEX solver of GAMS
|math_objective=investment cost and operational costs (fixed and variable) minimization
|deterministic=Deterministic; Perfect foresight; Sensitivity analysis ;
|is_suited_for_many_scenarios=No
|montecarlo=No
|citation_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.
|citation_doi=https://doi.org/10.1016/j.eneco.2020.105004
|Model input file format=No
|Model file format=No
|Model output file format=No
}}

EOLES elecRES

2020-09-30T13:29:08Z

Behrang Shirizadeh:

{{Model
|Full_Model_Name=Energy Optimization for Low Emission Systems - renewable electricity
|Acronym=EOLES_elecRES
|author_institution=CIRED
|authors=Behrang Shirizadeh, Quentin Perrier, Philippe Quirion
|contact_persons=Behrang Shirizadeh
|contact_email=shirizadeh@centre-cired.fr
|source_download=https://github.com/BehrangShirizadeh/EOLES_elecRES
|text_description=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.
|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
|open_source_licensed=Yes
|license=Creative Commons Attribution Share-Alike 4.0 (CC-BY-SA-4.0)
|model_source_public=Yes
|Link to source=https://github.com/BehrangShirizadeh/EOLES_elecRES
|data_availability=all
|open_future=Yes
|GUI=No
|model_class=Electricity System Model
|sectors=Electricity Sector
|technologies=Renewables
|Demand sectors=Households, Industry, Transport, Commercial sector, Other
|Energy carrier (Gas)=Biogas
|Energy carriers (Renewable)=Hydro, Sun, Wind
|Transfer (Electricity)=Transmission
|Transfer (Gas)=Transmission
|Storage (Electricity)=Battery, Chemical, PHS
|Storage (Gas)=Yes
|Storage (Heat)=No
|Market models=Electricity market
|decisions=dispatch, investment
|timeresolution=Hour
|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=linear optimization of dispatch and investment, solved in CPLEX solver of GAMS
|math_objective=investment cost and operational costs (fixed and variable) minimization
|deterministic=Deterministic; Perfect foresight; Sensitivity analysis ; Robust decision making
|is_suited_for_many_scenarios=No
|montecarlo=No
|Model input file format=No
|Model file format=No
|Model output file format=No
}}

EOLES elec

2020-09-30T13:28:39Z

Behrang Shirizadeh:

{{Model
|Full_Model_Name=Energy Optimization for Low Emission Systems - electricity
|Acronym=EOLES_elec
|author_institution=CIRED
|authors=Behrang Shirizadeh, Philippe Quirion
|contact_persons=Behrang Shirizadeh
|contact_email=mailto:shirizadeh@centre-cired.fr
|text_description=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: pumpedhydro storage (PHS), Li-Ion batteries and two types of methanation.
|Primary outputs=Annualized cost, Installed capacities and generation and storage profiles
|User documentation=http://www2.centre-cired.fr/IMG/pdf/cired_wp_2020_79_shirizadeh_quirion.pdf
|Code documentation=https://github.com/BehrangShirizadeh/EOLES_elec
|open_source_licensed=Yes
|license=Creative Commons Attribution Share-Alike 4.0 (CC-BY-SA-4.0)
|model_source_public=Yes
|Link to source=https://github.com/BehrangShirizadeh/EOLES_elec
|data_availability=all
|open_future=Yes
|modelling_software=GAMS
|GUI=No
|model_class=Electricity System Model,
|sectors=Electricity Sector, Carbon Market,
|technologies=Renewables, Conventional Generation
|Demand sectors=Households, Industry, Transport, Commercial sector, Other
|Energy carrier (Gas)=Natural gas, Biogas, Hydrogen
|Energy carriers (Solid)=Uranium
|Energy carriers (Renewable)=Hydro, Sun, Wind
|Transfer (Electricity)=Transmission
|Transfer (Gas)=Transmission
|Storage (Electricity)=Battery, Chemical, PHS
|Storage (Gas)=Yes
|Storage (Heat)=No
|Market models=Electricity and carbon markets
|decisions=dispatch, investment
|timeresolution=Hour
|network_coverage=transmission
|Observation period=More than one year
|Additional dimensions (Ecological)=CO2 emissions, CO2 storage need
|Additional dimensions (Economical)=system-wide LCOE, technology specific LCOE, hourly spot price and carbon and energy market revenues
|Additional dimensions (Other)=load curtailment, storage loss and etc.
|math_modeltype=Optimization, Simulation
|math_modeltype_shortdesc=linear optimization of dispatch and investment, solved in CPLEX solver of GAMS
|math_objective=investment cost and operational costs (fixed and variable) minimization
|deterministic=Deterministic; Perfect foresight; Sensitivity analysis ;
|is_suited_for_many_scenarios=No
|montecarlo=No
|Model input file format=No
|Model file format=No
|Model output file format=No
}}

EOLES elecRES

2020-09-29T21:32:33Z

Behrang Shirizadeh:

{{Model
|Full_Model_Name=Energy Optimization for Low Emission Systems - renewable electricity
|Acronym=EOLES_elecRES
|author_institution=CIRED
|authors=Behrang Shirizadeh, Quentin Perrier, Philippe Quirion
|contact_persons=Behrang Shirizadeh
|contact_email=shirizadeh@centre-cired.fr
|source_download=https://github.com/BehrangShirizadeh/EOLES_elecRES
|text_description=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.
|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
|open_source_licensed=No
|model_source_public=Yes
|Link to source=https://github.com/BehrangShirizadeh/EOLES_elecRES
|data_availability=all
|open_future=Yes
|GUI=No
|model_class=Electricity System Model
|sectors=Electricity Sector
|technologies=Renewables
|Demand sectors=Households, Industry, Transport, Commercial sector, Other
|Energy carrier (Gas)=Biogas
|Energy carriers (Renewable)=Hydro, Sun, Wind
|Transfer (Electricity)=Transmission
|Transfer (Gas)=Transmission
|Storage (Electricity)=Battery, Chemical, PHS
|Storage (Gas)=Yes
|Storage (Heat)=No
|Market models=Electricity market
|decisions=dispatch, investment
|timeresolution=Hour
|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=linear optimization of dispatch and investment, solved in CPLEX solver of GAMS
|math_objective=investment cost and operational costs (fixed and variable) minimization
|deterministic=Deterministic; Perfect foresight; Sensitivity analysis ; Robust decision making
|is_suited_for_many_scenarios=No
|montecarlo=No
|Model input file format=No
|Model file format=No
|Model output file format=No
}}

EOLES elec

2020-09-29T21:31:35Z

Behrang Shirizadeh:

{{Model
|Full_Model_Name=Energy Optimization for Low Emission Systems - electricity
|Acronym=EOLES_elec
|author_institution=CIRED
|authors=Behrang Shirizadeh, Philippe Quirion
|contact_persons=Behrang Shirizadeh
|contact_email=mailto:shirizadeh@centre-cired.fr
|text_description=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: pumpedhydro storage (PHS), Li-Ion batteries and two types of methanation.
|Primary outputs=Annualized cost, Installed capacities and generation and storage profiles
|User documentation=http://www2.centre-cired.fr/IMG/pdf/cired_wp_2020_79_shirizadeh_quirion.pdf
|Code documentation=https://github.com/BehrangShirizadeh/EOLES_elec
|open_source_licensed=No
|model_source_public=Yes
|Link to source=https://github.com/BehrangShirizadeh/EOLES_elec
|data_availability=all
|open_future=Yes
|modelling_software=GAMS
|GUI=No
|model_class=Electricity System Model,
|sectors=Electricity Sector, Carbon Market,
|technologies=Renewables, Conventional Generation
|Demand sectors=Households, Industry, Transport, Commercial sector, Other
|Energy carrier (Gas)=Natural gas, Biogas, Hydrogen
|Energy carriers (Solid)=Uranium
|Energy carriers (Renewable)=Hydro, Sun, Wind
|Transfer (Electricity)=Transmission
|Transfer (Gas)=Transmission
|Storage (Electricity)=Battery, Chemical, PHS
|Storage (Gas)=Yes
|Storage (Heat)=No
|Market models=Electricity and carbon markets
|decisions=dispatch, investment
|timeresolution=Hour
|network_coverage=transmission
|Observation period=More than one year
|Additional dimensions (Ecological)=CO2 emissions, CO2 storage need
|Additional dimensions (Economical)=system-wide LCOE, technology specific LCOE, hourly spot price and carbon and energy market revenues
|Additional dimensions (Other)=load curtailment, storage loss and etc.
|math_modeltype=Optimization, Simulation
|math_modeltype_shortdesc=linear optimization of dispatch and investment, solved in CPLEX solver of GAMS
|math_objective=investment cost and operational costs (fixed and variable) minimization
|deterministic=Deterministic; Perfect foresight; Sensitivity analysis ;
|is_suited_for_many_scenarios=No
|montecarlo=No
|Model input file format=No
|Model file format=No
|Model output file format=No
}}

EOLES elec

2020-09-29T21:29:28Z

Behrang Shirizadeh:

{{Model
|Full_Model_Name=Energy Optimization for Low Emission Systems - electricity
|Acronym=EOLES_elec
|author_institution=CIRED
|authors=Behrang Shirizadeh, Philippe Quirion
|contact_persons=Behrang Shirizadeh
|contact_email=mailto:shirizadeh@centre-cired.fr
|text_description=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: pumpedhydro storage (PHS), Li-Ion batteries and two types of methanation.
|Primary outputs=Annualized cost, Installed capacities and generation and storage profiles
|User documentation=http://www2.centre-cired.fr/IMG/pdf/cired_wp_2020_79_shirizadeh_quirion.pdf
|Code documentation=https://github.com/BehrangShirizadeh/EOLES_elec
|open_source_licensed=No
|model_source_public=No
|data_availability=all
|open_future=Yes
|modelling_software=GAMS
|GUI=No
|model_class=Electricity System Model,
|sectors=Electricity Sector, Carbon Market,
|technologies=Renewables, Conventional Generation
|Demand sectors=Households, Industry, Transport, Commercial sector, Other
|Energy carrier (Gas)=Natural gas, Biogas, Hydrogen
|Energy carriers (Solid)=Uranium
|Energy carriers (Renewable)=Hydro, Sun, Wind
|Transfer (Electricity)=Transmission
|Transfer (Gas)=Transmission
|Storage (Electricity)=Battery, Chemical, PHS
|Storage (Gas)=Yes
|Storage (Heat)=No
|Market models=Electricity and carbon markets
|decisions=dispatch, investment
|timeresolution=Hour
|network_coverage=transmission
|Observation period=More than one year
|Additional dimensions (Ecological)=CO2 emissions, CO2 storage need
|Additional dimensions (Economical)=system-wide LCOE, technology specific LCOE, hourly spot price and carbon and energy market revenues
|Additional dimensions (Other)=load curtailment, storage loss and etc.
|math_modeltype=Optimization, Simulation
|math_modeltype_shortdesc=linear optimization of dispatch and investment, solved in CPLEX solver of GAMS
|math_objective=investment cost and operational costs (fixed and variable) minimization
|deterministic=Deterministic; Perfect foresight; Sensitivity analysis ;
|is_suited_for_many_scenarios=No
|montecarlo=No
|Model input file format=No
|Model file format=No
|Model output file format=No
}}

EOLES elec

2020-05-26T15:35:41Z

Behrang Shirizadeh: Created page with "{{Model |Full_Model_Name=Energy Optimization for Low Emission Systems - electricity |Acronym=EOLES_elec |author_institution=CIRED |authors=Behrang Shirizadeh, Philippe Quirion..."

{{Model
|Full_Model_Name=Energy Optimization for Low Emission Systems - electricity
|Acronym=EOLES_elec
|author_institution=CIRED
|authors=Behrang Shirizadeh, Philippe Quirion
|contact_persons=Behrang Shirizadeh
|contact_email=mailto:shirizadeh@centre-cired.fr
|text_description=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: pumpedhydro storage (PHS), Li-Ion batteries and two types of methanation.
|Primary outputs=Annualized cost, Installed capacities and generation and storage profiles
|User documentation=http://www2.centre-cired.fr/IMG/pdf/cired_wp_2020_79_shirizadeh_quirion.pdf
|open_source_licensed=No
|model_source_public=No
|data_availability=all
|open_future=Yes
|GUI=No
|model_class=Electricity System Model,
|sectors=Electricity Sector, Carbon Market,
|technologies=Renewables, Conventional Generation
|Demand sectors=Households, Industry, Transport, Commercial sector, Other
|Energy carrier (Gas)=Natural gas, Biogas, Hydrogen
|Energy carriers (Solid)=Uranium
|Energy carriers (Renewable)=Hydro, Sun, Wind
|Transfer (Electricity)=Transmission
|Transfer (Gas)=Transmission
|Storage (Electricity)=Battery, Chemical, PHS
|Storage (Gas)=Yes
|Storage (Heat)=No
|Market models=Electricity and carbon markets
|decisions=dispatch, investment
|timeresolution=Hour
|network_coverage=transmission
|Observation period=More than one year
|Additional dimensions (Ecological)=CO2 emissions, CO2 storage need
|Additional dimensions (Economical)=system-wide LCOE, technology specific LCOE, hourly spot price and carbon and energy market revenues
|Additional dimensions (Other)=load curtailment, storage loss and etc.
|math_modeltype=Optimization, Simulation
|math_modeltype_shortdesc=linear optimization of dispatch and investment, solved in CPLEX solver of GAMS
|math_objective=investment cost and operational costs (fixed and variable) minimization
|deterministic=Deterministic; Perfect foresight; Sensitivity analysis ;
|is_suited_for_many_scenarios=No
|montecarlo=No
|Model input file format=No
|Model file format=No
|Model output file format=No
}}

EOLES elecRES

2020-05-26T15:35:35Z

Behrang Shirizadeh:

{{Model
|Full_Model_Name=Energy Optimization for Low Emission Systems - renewable electricity
|Acronym=EOLES_elecRES
|author_institution=CIRED
|authors=Behrang Shirizadeh, Quentin Perrier, Philippe Quirion
|contact_persons=Behrang Shirizadeh
|contact_email=shirizadeh@centre-cired.fr
|text_description=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.
|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
|open_source_licensed=No
|model_source_public=No
|data_availability=all
|open_future=Yes
|GUI=No
|model_class=Electricity System Model
|sectors=Electricity Sector
|technologies=Renewables
|Demand sectors=Households, Industry, Transport, Commercial sector, Other
|Energy carrier (Gas)=Biogas
|Energy carriers (Renewable)=Hydro, Sun, Wind
|Transfer (Electricity)=Transmission
|Transfer (Gas)=Transmission
|Storage (Electricity)=Battery, Chemical, PHS
|Storage (Gas)=Yes
|Storage (Heat)=No
|Market models=Electricity market
|decisions=dispatch, investment
|timeresolution=Hour
|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=linear optimization of dispatch and investment, solved in CPLEX solver of GAMS
|math_objective=investment cost and operational costs (fixed and variable) minimization
|deterministic=Deterministic; Perfect foresight; Sensitivity analysis ; Robust decision making
|is_suited_for_many_scenarios=No
|montecarlo=No
|Model input file format=No
|Model file format=No
|Model output file format=No
}}

EOLES elecRES

2020-05-26T15:25:36Z

Behrang Shirizadeh:

{{Model
|Full_Model_Name=Energy Optimization for Low Emission Systems - renewable electricity
|Acronym=EOLES_elecRES
|author_institution=CIRED
|authors=Behrang Shirizadeh, Quentin Perrier, Philippe Quirion
|contact_persons=Behrang Shirizadeh
|contact_email=shirizadeh@centre-cired.fr
|text_description=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.
|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
|open_source_licensed=No
|model_source_public=No
|open_future=No
|GUI=No
|model_class=Electricity System Model
|sectors=Electricity Sector
|technologies=Renewables
|Demand sectors=Households, Industry, Transport, Commercial sector, Other
|Energy carrier (Gas)=Biogas
|Energy carriers (Renewable)=Hydro, Sun, Wind
|Transfer (Electricity)=Transmission
|Storage (Electricity)=Battery, PHS
|Storage (Gas)=Yes
|Storage (Heat)=No
|Market models=Electricity market
|decisions=dispatch, investment
|timeresolution=Hour
|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=linear 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
|Model input file format=No
|Model file format=No
|Model output file format=No
}}

EOLES elecRES

2020-05-26T13:26:20Z

Behrang Shirizadeh:

{{Model
|Full_Model_Name=Energy Optimization for Low Emission Systems - renewable electricity
|Acronym=EOLES_elecRES
|author_institution=CIRED
|authors=Behrang Shirizadeh, Quentin Perrier, Philippe Quirion
|contact_persons=Behrang Shirizadeh
|contact_email=shirizadeh@centre-cired.fr
|text_description=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.
|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
|Code documentation=https://github.com/BehrangShirizadeh/EOLES_elecRES
|open_source_licensed=No
|model_source_public=No
|open_future=No
|GUI=No
|model_class=Electricity System Model
|sectors=Electricity Sector
|technologies=Renewables
|Demand sectors=Households, Industry, Transport, Commercial sector, Other
|Energy carrier (Gas)=Biogas
|Energy carriers (Renewable)=Hydro, Sun, Wind
|Transfer (Electricity)=Transmission
|Storage (Electricity)=Battery, PHS
|Storage (Gas)=Yes
|Storage (Heat)=No
|Market models=Electricity market
|decisions=dispatch, investment
|timeresolution=Hour
|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=linear 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
|Model input file format=No
|Model file format=No
|Model output file format=No
}}

EOLES elecRES

2020-05-26T13:25:59Z

Behrang Shirizadeh:

{{Model
|Full_Model_Name=Energy Optimization for Low Emission Systems - renewable electricity
|Acronym=EOLES-elecRES
|author_institution=CIRED
|authors=Behrang Shirizadeh, Quentin Perrier, Philippe Quirion
|contact_persons=Behrang Shirizadeh
|contact_email=shirizadeh@centre-cired.fr
|text_description=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.
|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
|Code documentation=https://github.com/BehrangShirizadeh/EOLES_elecRES
|open_source_licensed=No
|model_source_public=No
|open_future=No
|GUI=No
|model_class=Electricity System Model
|sectors=Electricity Sector
|technologies=Renewables
|Demand sectors=Households, Industry, Transport, Commercial sector, Other
|Energy carrier (Gas)=Biogas
|Energy carriers (Renewable)=Hydro, Sun, Wind
|Transfer (Electricity)=Transmission
|Storage (Electricity)=Battery, PHS
|Storage (Gas)=Yes
|Storage (Heat)=No
|Market models=Electricity market
|decisions=dispatch, investment
|timeresolution=Hour
|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=linear 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
|Model input file format=No
|Model file format=No
|Model output file format=No
}}

EOLES elecRES

2020-05-26T13:24:18Z

Behrang Shirizadeh:

{{Model
|Full_Model_Name=Energy Optimization for Low Emission Systems - renewable electricity
|Acronym=EOLES_elecRES
|author_institution=CIRED
|authors=Behrang Shirizadeh, Quentin Perrier, Philippe Quirion
|contact_persons=Behrang Shirizadeh
|contact_email=shirizadeh@centre-cired.fr
|text_description=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.
|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
|Code documentation=https://github.com/BehrangShirizadeh/EOLES_elecRES
|open_source_licensed=No
|model_source_public=No
|open_future=No
|GUI=No
|model_class=Electricity System Model
|sectors=Electricity Sector
|technologies=Renewables
|Demand sectors=Households, Industry, Transport, Commercial sector, Other
|Energy carrier (Gas)=Biogas
|Energy carriers (Renewable)=Hydro, Sun, Wind
|Transfer (Electricity)=Transmission
|Storage (Electricity)=Battery, PHS
|Storage (Gas)=Yes
|Storage (Heat)=No
|Market models=Electricity market
|decisions=dispatch, investment
|timeresolution=Hour
|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=linear 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
|Model input file format=No
|Model file format=No
|Model output file format=No
}}

EOLES elecRES

2020-05-26T13:23:15Z

Behrang Shirizadeh:

{{Model
|Full_Model_Name=Energy Optimization for Low Emission Systems renewable electricity
|Acronym=EOLES_elecRES
|author_institution=CIRED
|authors=Behrang Shirizadeh, Quentin Perrier, Philippe Quirion
|contact_persons=Behrang Shirizadeh
|contact_email=shirizadeh@centre-cired.fr
|text_description=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.
|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
|Code documentation=https://github.com/BehrangShirizadeh/EOLES_elecRES
|open_source_licensed=No
|model_source_public=No
|open_future=No
|GUI=No
|model_class=Electricity System Model
|sectors=Electricity Sector
|technologies=Renewables
|Demand sectors=Households, Industry, Transport, Commercial sector, Other
|Energy carrier (Gas)=Biogas
|Energy carriers (Renewable)=Hydro, Sun, Wind
|Transfer (Electricity)=Transmission
|Storage (Electricity)=Battery, PHS
|Storage (Gas)=Yes
|Storage (Heat)=No
|Market models=Electricity market
|decisions=dispatch, investment
|timeresolution=Hour
|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=linear 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
|Model input file format=No
|Model file format=No
|Model output file format=No
}}

EOLES elecRES

2020-05-26T13:22:30Z

Behrang Shirizadeh:

{{Model
|Full_Model_Name=Energy Optimization for Low Emission Systems renewable electricity
|Acronym=EOLES_elecRES
|author_institution=CIRED
|authors=Behrang Shirizadeh, Quentin Perrier, Philippe Quirion
|contact_persons=Behrang Shirizadeh
|contact_email=shirizadeh@centre-cired.fr
|text_description=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.
|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
|Code documentation=https://github.com/BehrangShirizadeh/EOLES_elecRES
|open_source_licensed=No
|model_source_public=No
|open_future=No
|GUI=No
|model_class=Electricity System Model
|sectors=Electricity Sector
|technologies=Renewables
|Demand sectors=Households, Industry, Transport, Commercial sector, Other
|Energy carrier (Gas)=Biogas
|Energy carriers (Renewable)=Hydro, Sun, Wind
|Transfer (Electricity)=Transmission
|Storage (Electricity)=Battery, PHS
|Storage (Gas)=Yes
|Storage (Heat)=No
|Market models=Electricity market
|decisions=dispatch, investment
|timeresolution=Hour
|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
|Model input file format=No
|Model file format=No
|Model output file format=No
}}

EOLES elecRES

2020-05-26T13:21:00Z

Behrang Shirizadeh: Created page with "{{Model |Full_Model_Name=Energy Optimization for Low Emission Systems renewable electricity |Acronym=EOLES_elecRES |author_institution=CIRED |authors=Behrang Shirizadeh, Quent..."

{{Model
|Full_Model_Name=Energy Optimization for Low Emission Systems renewable electricity
|Acronym=EOLES_elecRES
|author_institution=CIRED
|authors=Behrang Shirizadeh, Quentin Perrier, Philippe Quirion
|contact_persons=Behrang Shirizadeh
|contact_email=shirizadeh@centre-cired.fr
|text_description=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.
|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
|Code documentation=https://github.com/BehrangShirizadeh/EOLES_elecRES
|open_source_licensed=No
|model_source_public=No
|open_future=No
|GUI=No
|model_class=Electricity System Model
|sectors=Electricity Sector
|technologies=Renewables
|Demand sectors=Households, Industry, Transport, Commercial sector, Other
|Energy carrier (Gas)=Biogas
|Energy carriers (Renewable)=Hydro, Sun, Wind
|Transfer (Electricity)=Transmission
|Storage (Electricity)=Battery, PHS
|Storage (Gas)=Yes
|Storage (Heat)=No
|Market models=Electricity market
|decisions=dispatch, investment
|timeresolution=Hour
|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
|Model input file format=No
|Model file format=No
|Model output file format=No
}}