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

HighRES

2022-02-11T09:27:49Z

Mariane Zeyringer:

{{Model
|Full_Model_Name=high spatial and temporal electricity system model
|Acronym=highRES
|author_institution=UCL, UiO
|authors=James Price, Marianne Zeyringer
|website=https://github.com/highRES-model
|text_description=The model is used to plan least-cost electricity systems for Europe and specifically designed to analyse the effects of high shares of variable renewables and explore integration/flexibility options. It does this by comparing and trading off potential options to integrate renewables into the system including the extension of the transmission grid, interconnection with other countries, building flexible generation (e.g. gas power stations), renewable curtailment and energy storage.

highRES is written in GAMS and its objective is to minimise power system investment and operational costs to meet hourly demand, subject to a number of system constraints. The transmission grid is represented using a linear transport model. To realistically model variable renewable supply, the model uses spatially and temporally-detailed renewable generation time series that are based on weather data.

Currently there is one version for Europe and one for GB.
|open_source_licensed=Yes
|license=MIT license (MIT)
|model_source_public=No
|data_availability=all
|open_future=No
|modelling_software=GAMS; CPLEX
|processing_software=Python
|GUI=No
|model_class=European electricity system model, GB electricity system model
|sectors=Electricity,
|technologies=Renewables, Conventional Generation
|Demand sectors=Households, Industry, Transport, Commercial sector
|Transfer (Electricity)=Transmission
|Storage (Gas)=No
|Storage (Heat)=No
|decisions=dispatch, investment
|georegions=EEA+Norway and UK
|georesolution=Country level, 20 zones for GB
|timeresolution=Hour
|network_coverage=transmission, net transfer capacities
|Observation period=More than one year
|math_modeltype=Optimization
|math_objective=Minimization of total system costs
|is_suited_for_many_scenarios=Yes
|montecarlo=No
|computation_time_minutes=60
|citation_references=Zeyringer, M., Price, J., Fais, B., Li, P.-H. & Sharp, E. Designing low-carbon power systems for Great Britain in 2050 that are robust to the spatiotemporal and inter-annual variability of weather. Nat. Energy 3, 395–403 (2018)
|Model input file format=No
|Model file format=No
|Model output file format=No
}}

HighRES

2022-02-11T09:26:51Z

Mariane Zeyringer:

{{Model
|Full_Model_Name=high spatial and temporal electricity system model
|Acronym=highRES
|author_institution=UCL, UiO
|authors=James Price, Marianne Zeyringer
|website=https://github.com/highRES-model
|text_description=The model is used to plan least-cost electricity systems for Europe and specifically designed to analyse the effects of high shares of variable renewables and explore integration/flexibility options. It does this by comparing and trading off potential options to integrate renewables into the system including the extension of the transmission grid, interconnection with other countries, building flexible generation (e.g. gas power stations), renewable curtailment and energy storage.

highRES is written in GAMS and its objective is to minimise power system investment and operational costs to meet hourly demand, subject to a number of system constraints. The transmission grid is represented using a linear transport model. To realistically model variable renewable supply, the model uses spatially and temporally-detailed renewable generation time series that are based on weather data.

Currently there is one version for Europe and one for GB.
|open_source_licensed=Yes
|license=MIT license (MIT)
|model_source_public=No
|data_availability=all
|open_future=No
|modelling_software=GAMS; CPLEX
|processing_software=Phyton
|GUI=No
|model_class=European electricity system model, GB electricity system model
|sectors=Electricity,
|technologies=Renewables, Conventional Generation
|Demand sectors=Households, Industry, Transport, Commercial sector
|Transfer (Electricity)=Transmission
|Storage (Gas)=No
|Storage (Heat)=No
|decisions=dispatch, investment
|georegions=EEA+Norway and UK
|georesolution=Country level, 20 zones for GB
|timeresolution=Hour
|network_coverage=transmission, net transfer capacities
|Observation period=More than one year
|math_modeltype=Optimization
|math_objective=Minimization of total system costs
|is_suited_for_many_scenarios=Yes
|montecarlo=No
|computation_time_minutes=60
|citation_references=Zeyringer, M., Price, J., Fais, B., Li, P.-H. & Sharp, E. Designing low-carbon power systems for Great Britain in 2050 that are robust to the spatiotemporal and inter-annual variability of weather. Nat. Energy 3, 395–403 (2018)
|Model input file format=No
|Model file format=No
|Model output file format=No
}}

HighRES

2022-02-11T09:25:08Z

Mariane Zeyringer:

{{Model
|Full_Model_Name=high spatial and temporal electricity system model
|Acronym=highRES
|author_institution=UCL, UiO
|authors=James Price, Marianne Zeyringer
|website=https://github.com/highRES-model
|text_description=The model is used to plan least-cost electricity systems for Europe and specifically designed to analyse the effects of high shares of variable renewables and explore integration/flexibility options. It does this by comparing and trading off potential options to integrate renewables into the system including the extension of the transmission grid, interconnection with other countries, building flexible generation (e.g. gas power stations), renewable curtailment and energy storage.

highRES is written in GAMS and its objective is to minimise power system investment and operational costs to meet hourly demand, subject to a number of system constraints. The transmission grid is represented using a linear transport model. To realistically model variable renewable supply, the model uses spatially and temporally-detailed renewable generation time series that are based on weather data.

Currently there is one version for Europe and one for GB.
|open_source_licensed=Yes
|license=MIT license (MIT)
|model_source_public=No
|data_availability=all
|open_future=No
|modelling_software=GAMS; CPLEX
|processing_software=Phyton
|GUI=No
|model_class=European electricity system model, GB electricity system model
|sectors=Electricity,
|technologies=Renewables, Conventional Generation
|Demand sectors=Households, Industry, Transport, Commercial sector
|Transfer (Electricity)=Transmission
|Storage (Gas)=No
|Storage (Heat)=No
|decisions=dispatch, investment
|georegions=EEA+Norway and UK
|georesolution=Country level, 20 zones for GB
|timeresolution=Hour
|network_coverage=transmission, net transfer capacities
|Observation period=More than one year
|math_modeltype=Optimization
|math_objective=Minimization of total system costs
|is_suited_for_many_scenarios=No
|montecarlo=No
|computation_time_minutes=60
|citation_references=Zeyringer, M., Price, J., Fais, B., Li, P.-H. & Sharp, E. Designing low-carbon power systems for Great Britain in 2050 that are robust to the spatiotemporal and inter-annual variability of weather. Nat. Energy 3, 395–403 (2018)
|Model input file format=No
|Model file format=No
|Model output file format=No
}}

HighRES

2022-02-11T09:24:50Z

Mariane Zeyringer:

{{Model
|Full_Model_Name=high spatial and temporal electricity system model
|Acronym=highRES
|author_institution=UCL, UiO
|authors=James Price, Marianne Zeyringer
|website=https://github.com/highRES-model
|text_description=Welcome to the repository for the European version of the high temporal and spatial resolution electricity system model (highRES-Europe). The model is used to plan least-cost electricity systems for Europe and specifically designed to analyse the effects of high shares of variable renewables and explore integration/flexibility options. It does this by comparing and trading off potential options to integrate renewables into the system including the extension of the transmission grid, interconnection with other countries, building flexible generation (e.g. gas power stations), renewable curtailment and energy storage.

highRES is written in GAMS and its objective is to minimise power system investment and operational costs to meet hourly demand, subject to a number of system constraints. The transmission grid is represented using a linear transport model. To realistically model variable renewable supply, the model uses spatially and temporally-detailed renewable generation time series that are based on weather data.

Currently there is one version for Europe and one for GB.
|open_source_licensed=Yes
|license=MIT license (MIT)
|model_source_public=No
|data_availability=all
|open_future=No
|modelling_software=GAMS; CPLEX
|processing_software=Phyton
|GUI=No
|model_class=European electricity system model, GB electricity system model
|sectors=Electricity,
|technologies=Renewables, Conventional Generation
|Demand sectors=Households, Industry, Transport, Commercial sector
|Transfer (Electricity)=Transmission
|Storage (Gas)=No
|Storage (Heat)=No
|decisions=dispatch, investment
|georegions=EEA+Norway and UK
|georesolution=Country level, 20 zones for GB
|timeresolution=Hour
|network_coverage=transmission, net transfer capacities
|Observation period=More than one year
|math_modeltype=Optimization
|math_objective=Minimization of total system costs
|is_suited_for_many_scenarios=No
|montecarlo=No
|computation_time_minutes=60
|citation_references=Zeyringer, M., Price, J., Fais, B., Li, P.-H. & Sharp, E. Designing low-carbon power systems for Great Britain in 2050 that are robust to the spatiotemporal and inter-annual variability of weather. Nat. Energy 3, 395–403 (2018)
|Model input file format=No
|Model file format=No
|Model output file format=No
}}

HighRES

2022-02-11T09:21:03Z

Mariane Zeyringer: Created page with "{{Model |Full_Model_Name=high spatial and temporal electricity system model |Acronym=highRES |author_institution=UCL, UiO |authors=James Price, Marianne Zeyringer |website=ht..."

{{Model
|Full_Model_Name=high spatial and temporal electricity system model
|Acronym=highRES
|author_institution=UCL, UiO
|authors=James Price, Marianne Zeyringer
|website=https://github.com/highRES-model
|text_description=Welcome to the repository for the European version of the high temporal and spatial resolution electricity system model (highRES-Europe). The model is used to plan least-cost electricity systems for Europe and specifically designed to analyse the effects of high shares of variable renewables and explore integration/flexibility options. It does this by comparing and trading off potential options to integrate renewables into the system including the extension of the transmission grid, interconnection with other countries, building flexible generation (e.g. gas power stations), renewable curtailment and energy storage.

highRES is written in GAMS and its objective is to minimise power system investment and operational costs to meet hourly demand, subject to a number of system constraints. The transmission grid is represented using a linear transport model. To realistically model variable renewable supply, the model uses spatially and temporally-detailed renewable generation time series that are based on weather data.

Currently there is one version for Europe and one for GB.
|open_source_licensed=Yes
|license=MIT license (MIT)
|model_source_public=No
|data_availability=all
|open_future=No
|modelling_software=GAMS; CPLEX
|processing_software=Phyton
|GUI=No
|model_class=European electricity system model, GB electricity system model
|sectors=Electricity,
|technologies=Renewables, Conventional Generation
|Demand sectors=Households, Industry, Transport, Commercial sector
|Transfer (Electricity)=Transmission
|Storage (Gas)=No
|Storage (Heat)=No
|decisions=dispatch, investment
|timeresolution=Hour
|network_coverage=transmission, net transfer capacities
|Observation period=More than one year
|math_modeltype=Optimization
|math_objective=Minimization of total system costs
|is_suited_for_many_scenarios=No
|montecarlo=No
|computation_time_minutes=60
|citation_references=Zeyringer, M., Price, J., Fais, B., Li, P.-H. & Sharp, E. Designing low-carbon power systems for Great Britain in 2050 that are robust to the spatiotemporal and inter-annual variability of weather. Nat. Energy 3, 395–403 (2018)
|Model input file format=No
|Model file format=No
|Model output file format=No
}}

Open Models

2022-02-11T08:02:16Z

Mariane Zeyringer: /* Add your own! */

This page lists energy models published under open source licenses. We regard licenses approved by OSI ([https://opensource.org/ opensource.org]) and The Open Definition ([http://opendefinition.org/ opendefinition.org]) as suitable for open source models and open data, respectively. Please contact us if you are using another license and wish to be added. Models which have not yet been made public, but which intend to do so under a suitable license, can also be included here.

Currently, the models listed classify exclusively as bottom-up, but that is not a restriction we impose. Some models are confined to the electricity sector while others also traverse the heat, gas, end-use, and mobility sectors. Some embed market clearing while others assume single-actor cost minimization. The model attributes shown below should help to clarify the type of model.

Most models listed here count as frameworks in which any region can be modelled. Region-specific implementations of the frameworks are listed on a separate page by region [[Open model implementations|Open model implementations]].

There are more advanced factsheets for [https://openenergy-platform.org/factsheets/frameworks/ frameworks], [https://openenergy-platform.org/factsheets/models/ models] and [https://openenergy-platform.org/factsheets/scenarios/ scenarios] on the Open Energy Platform.

== List of models ==

{{#ask: [[Category:Model]] | limit=200 | headers=hide | format=ul}}

'''See also the detailed tables! [[Overview of models|View detailed tables]]'''

=== Add your own! ===

After logging in, you can add new entries to the model database by entering the name of the system into the following form field:

{{#forminput:form=Model}}

<br/>

== Overview of models by purpose, scope and modelling type ==

{{#ask: [[Category:Model]] [[open_source_licensed :: true]] | ? sectors | ? model_class |? math_modeltype | ? timeresolution | ? georesolution | ? is_suited_for_many_scenarios| limit=200 | format = broadtable | mainlabel = Model }}

== Overview of models by type, software, implementation and processing ==

{{#ask: [[Category:Model]] [[open_source_licensed :: true]] | ? model_class | ? modelling_software |? processing_software| limit=200 | format = broadtable | mainlabel = Model }}

== Overview of models by open-source license, data availability etc. ==

{{#ask: [[Category:Model]] [[open_source_licensed :: true]] | ? license | ? modelling_software |? model_source_public |? data_availability |? open_future | format = broadtable | mainlabel = Model }}

Open Models

2022-02-11T08:01:00Z

Mariane Zeyringer: /* List of models */

This page lists energy models published under open source licenses. We regard licenses approved by OSI ([https://opensource.org/ opensource.org]) and The Open Definition ([http://opendefinition.org/ opendefinition.org]) as suitable for open source models and open data, respectively. Please contact us if you are using another license and wish to be added. Models which have not yet been made public, but which intend to do so under a suitable license, can also be included here.

Currently, the models listed classify exclusively as bottom-up, but that is not a restriction we impose. Some models are confined to the electricity sector while others also traverse the heat, gas, end-use, and mobility sectors. Some embed market clearing while others assume single-actor cost minimization. The model attributes shown below should help to clarify the type of model.

Most models listed here count as frameworks in which any region can be modelled. Region-specific implementations of the frameworks are listed on a separate page by region [[Open model implementations|Open model implementations]].

There are more advanced factsheets for [https://openenergy-platform.org/factsheets/frameworks/ frameworks], [https://openenergy-platform.org/factsheets/models/ models] and [https://openenergy-platform.org/factsheets/scenarios/ scenarios] on the Open Energy Platform.

== List of models ==

{{#ask: [[Category:Model]] | limit=200 | headers=hide | format=ul}}

'''See also the detailed tables! [[Overview of models|View detailed tables]]'''

=== Add your own! ===

After logging in, you can add new entries to the model database by entering the name of the system into the following form field: highRES

{{#forminput:form=Model}}

<br/>

== Overview of models by purpose, scope and modelling type ==

{{#ask: [[Category:Model]] [[open_source_licensed :: true]] | ? sectors | ? model_class |? math_modeltype | ? timeresolution | ? georesolution | ? is_suited_for_many_scenarios| limit=200 | format = broadtable | mainlabel = Model }}

== Overview of models by type, software, implementation and processing ==

{{#ask: [[Category:Model]] [[open_source_licensed :: true]] | ? model_class | ? modelling_software |? processing_software| limit=200 | format = broadtable | mainlabel = Model }}

== Overview of models by open-source license, data availability etc. ==

{{#ask: [[Category:Model]] [[open_source_licensed :: true]] | ? license | ? modelling_software |? model_source_public |? data_availability |? open_future | format = broadtable | mainlabel = Model }}