EOLES elec - Revision history

Behrang Shirizadeh at 10:54, 31 December 2020

2020-12-31T10:54:13Z

Behrang Shirizadeh at 10:48, 31 December 2020

2020-12-31T10:48:30Z

Behrang Shirizadeh at 13:28, 30 September 2020

2020-09-30T13:28:39Z

Behrang Shirizadeh at 21:31, 29 September 2020

2020-09-29T21:31:35Z

Behrang Shirizadeh at 21:29, 29 September 2020

2020-09-29T21:29:28Z

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..."

2020-05-26T15:35:41Z

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..."

New page

{{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
}}

@@ Line 19: / Line 19: @@
 |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
+|open_source_licensed=Yes
 |model_source_public=Yes
 |Link to source=https://github.com/BehrangShirizadeh/EOLES_elec

@@ Line 58: / Line 58: @@
 |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
+|citation_doi=10.1016/j.eneco.2020.105004
 |Model input file format=No
 |Model file format=No
 |Model output file format=No
 }}

@@ Line 6: / Line 6: @@
 |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
@@ Line 15: / Line 16: @@
 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.
+(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
@@ Line 24: / Line 25: @@
 |Link to source=https://github.com/BehrangShirizadeh/EOLES_elec
 |data_availability=all
-|open_future=Yes
+|open_future=No
 |modelling_software=GAMS
 |GUI=No
@@ Line 39: / Line 40: @@
 |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 (Economical)=system-wide LCOE, technology specific LCOE, hourly spot price, Social cost, Technical cost 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_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
 |Model input file format=No
 |Model file format=No
 |Model output file format=No
 }}