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

Open model implementations

2021-08-12T10:26:47Z

Gauthier Limpens:

= Introduction =

This page lists open implementations of [[Open Models|open modelling frameworks]] for specific regions that include all power/energy system data so that the regions can be modelled.

= Global =

== PLEXOS-World ==

[https://energyexemplar.com/plexos-world/ https://energyexemplar.com/plexos-world/]

= Africa =

== Africa-wide ==

=== CCG Starter Kits for African Countries ===

[https://www.climatecompatiblegrowth.com/starter-kits/ links to datasets on Zenodo]

=== PyPSA meets Africa (initiative, no model yet) ===

[https://max-parzen.github.io/Project_PyPSA_Africa.html PyPSA meets Africa] - initiative started in 2021, looking for volunteers, see [https://www.youtube.com/watch?v=E0V0T4U9nmQ launch video]

== West African Power Pool (WAPP) Dispa-SET ==

[https://zenodo.org/record/2620189#.YETmbtzTVO0 Model inputs and outputs on Zenodo] 

== South African Power Pool (SAPP) Dispa-SET ==

[https://doi.org/10.5281/zenodo.4030905 Model inputs and outputs on Zenodo] 

== South Africa ==

=== SA-Calliope ===

[https://doi.org/10.1016/j.energy.2015.04.077 https://doi.org/10.1016/j.energy.2015.04.077]

=== PyPSA-ZA ===

[https://github.com/PyPSA/pypsa-za https://github.com/PyPSA/pypsa-za] 

== Kenya ==

=== Calliope-Kenya ===

[https://github.com/SESAM-Polimi/Calliope-Kenya https://github.com/SESAM-Polimi/Calliope-Kenya] 

 

= Asia =

== China ==

=== China-Calliope ===

in development, see [https://www.callio.pe/model-gallery/ https://www.callio.pe/model-gallery/]

=== PyPSA-China ===

[https://arxiv.org/abs/1810.10347 https://arxiv.org/abs/1810.10347]

=== SWITCH-China ===

developed at Tsingua University?

 

= Europe =

== Europe-wide ==

=== Euro-Calliope ===

[https://github.com/calliope-project/euro-calliope https://github.com/calliope-project/euro-calliope]

=== OSeMBE ===

EU27+CH+NO+UK OSeMOSYS model, power sector only: [https://github.com/HauHe/OSeMBE https://github.com/HauHe/OSeMBE]

=== PyPSA-Eur and PyPSA-Eur-Sec ===

PyPSA-Eur is electricity only: [https://github.com/PyPSA/pypsa-eur https://github.com/PyPSA/pypsa-eur]

PyPSA-Eur-Sec includes all other energy demand and supply: [https://github.com/PyPSA/pypsa-eur-sec https://github.com/PyPSA/pypsa-eur-sec]

 

=== JRC-EU-TIMES ===

[https://ec.europa.eu/jrc/en/scientific-tool/jrc-eu-times-model-assessing-long-term-role-energy-technologies https://ec.europa.eu/jrc/en/scientific-tool/jrc-eu-times-model-assessing-long-term-role-energy-technologies] 

=== Dispa-SET "Power System Flexibility in a variable climate" ===

[https://zenodo.org/record/3775569#.YEOpXdzTWt8 Input files on Zenodo] 

== France ==

=== EOLES_elec ===

[https://github.com/BehrangShirizadeh/EOLES_elec https://github.com/BehrangShirizadeh/EOLES_elec]

== UK ==

=== UK-Calliope ===

[https://github.com/calliope-project/uk-calliope https://github.com/calliope-project/uk-calliope]

== Switzerland ==

=== Swiss EnergyScope ===

[https://github.com/energyscope/EnergyScope/tree/v2.0 https://github.com/energyscope/EnergyScope/tree/v2.0] 

== Belgium ==

=== Belgian EnergyScope ===

[https://github.com/energyscope/EnergyScope/tree/Limpens_Belgian_2020 https://github.com/energyscope/EnergyScope/tree/Limpens_Belgian_2020] 

= North America =

== United States ==

=== PowerGenome ===

[https://github.com/PowerGenome/PowerGenome https://github.com/PowerGenome/PowerGenome]

=== Breakthrough Energy US Model ===

[https://arxiv.org/abs/2002.06155 https://arxiv.org/abs/2002.06155]

[https://github.com/Breakthrough-Energy https://github.com/Breakthrough-Energy]

[https://breakthrough-energy.github.io/docs/index.html https://breakthrough-energy.github.io/docs/index.html]

 

=== Open Energy Outlook for the United States ===

[https://openenergyoutlook.org/ https://openenergyoutlook.org/]

[https://github.com/TemoaProject/oeo https://github.com/TemoaProject/oeo]

Open model implementations

2021-08-12T10:26:11Z

Gauthier Limpens:

= Introduction =

This page lists open implementations of [[Open Models|open modelling frameworks]] for specific regions that include all power/energy system data so that the regions can be modelled.

= Global =

== PLEXOS-World ==

[https://energyexemplar.com/plexos-world/ https://energyexemplar.com/plexos-world/]

= Africa =

== Africa-wide ==

=== CCG Starter Kits for African Countries ===

[https://www.climatecompatiblegrowth.com/starter-kits/ links to datasets on Zenodo]

=== PyPSA meets Africa (initiative, no model yet) ===

[https://max-parzen.github.io/Project_PyPSA_Africa.html PyPSA meets Africa] - initiative started in 2021, looking for volunteers, see [https://www.youtube.com/watch?v=E0V0T4U9nmQ launch video]

== West African Power Pool (WAPP) Dispa-SET ==

[https://zenodo.org/record/2620189#.YETmbtzTVO0 Model inputs and outputs on Zenodo] 

== South African Power Pool (SAPP) Dispa-SET ==

[https://doi.org/10.5281/zenodo.4030905 Model inputs and outputs on Zenodo] 

== South Africa ==

=== SA-Calliope ===

[https://doi.org/10.1016/j.energy.2015.04.077 https://doi.org/10.1016/j.energy.2015.04.077]

=== PyPSA-ZA ===

[https://github.com/PyPSA/pypsa-za https://github.com/PyPSA/pypsa-za] 

== Kenya ==

=== Calliope-Kenya ===

[https://github.com/SESAM-Polimi/Calliope-Kenya https://github.com/SESAM-Polimi/Calliope-Kenya] 

 

= Asia =

== China ==

=== China-Calliope ===

in development, see [https://www.callio.pe/model-gallery/ https://www.callio.pe/model-gallery/]

=== PyPSA-China ===

[https://arxiv.org/abs/1810.10347 https://arxiv.org/abs/1810.10347]

=== SWITCH-China ===

developed at Tsingua University?

 

= Europe =

== Europe-wide ==

=== Euro-Calliope ===

[https://github.com/calliope-project/euro-calliope https://github.com/calliope-project/euro-calliope]

=== OSeMBE ===

EU27+CH+NO+UK OSeMOSYS model, power sector only: [https://github.com/HauHe/OSeMBE https://github.com/HauHe/OSeMBE]

=== PyPSA-Eur and PyPSA-Eur-Sec ===

PyPSA-Eur is electricity only: [https://github.com/PyPSA/pypsa-eur https://github.com/PyPSA/pypsa-eur]

PyPSA-Eur-Sec includes all other energy demand and supply: [https://github.com/PyPSA/pypsa-eur-sec https://github.com/PyPSA/pypsa-eur-sec]

 

=== JRC-EU-TIMES ===

[https://ec.europa.eu/jrc/en/scientific-tool/jrc-eu-times-model-assessing-long-term-role-energy-technologies https://ec.europa.eu/jrc/en/scientific-tool/jrc-eu-times-model-assessing-long-term-role-energy-technologies] 

=== Dispa-SET "Power System Flexibility in a variable climate" ===

[https://zenodo.org/record/3775569#.YEOpXdzTWt8 Input files on Zenodo] 

== France ==

=== EOLES_elec ===

[https://github.com/BehrangShirizadeh/EOLES_elec https://github.com/BehrangShirizadeh/EOLES_elec]

== UK ==

=== UK-Calliope ===

[https://github.com/calliope-project/uk-calliope https://github.com/calliope-project/uk-calliope]

 

== witzerland ==

=== Swiss EnergyScope ===

https://github.com/energyscope/EnergyScope/tree/v2.0 

== Belgium ==

=== Belgian EnergyScope ===

https://github.com/energyscope/EnergyScope/tree/Limpens_Belgian_2020 

= North America =

== United States ==

=== PowerGenome ===

[https://github.com/PowerGenome/PowerGenome https://github.com/PowerGenome/PowerGenome]

=== Breakthrough Energy US Model ===

[https://arxiv.org/abs/2002.06155 https://arxiv.org/abs/2002.06155]

[https://github.com/Breakthrough-Energy https://github.com/Breakthrough-Energy]

[https://breakthrough-energy.github.io/docs/index.html https://breakthrough-energy.github.io/docs/index.html]

 

=== Open Energy Outlook for the United States ===

[https://openenergyoutlook.org/ https://openenergyoutlook.org/]

[https://github.com/TemoaProject/oeo https://github.com/TemoaProject/oeo]

EnergyScope

2020-02-06T10:57:05Z

Gauthier Limpens:

{{Model
|Full_Model_Name=EnergyScope
|Acronym=ES
|author_institution=EPFL, UCLouvain
|authors=Stefano Moret, Gauthier Limpens
|contact_persons=Gauthier Limpens
|contact_email=gauthier.limpens@uclouvain.be
|source_download=https://github.com/energyscope/EnergyScope
|text_description=EnergyScope is open-source model for the strategic energy planning
of urban and regional energy systems.
EnergyScope (v2.0) optimises both the investment and operating strategy of an entire energy system (including electricity, heating and mobility). Additionally, its hourly resolution (using typical days) makes the model suitable for the integration of intermittent renewables, and its concise mathematical formulation and computational effciency are appropriate for uncertainty applications.
|Primary outputs=Energy system design
|User documentation=https://github.com/energyscope/EnergyScope/tree/master/Documentation
|Code documentation=https://github.com/energyscope/EnergyScope/tree/master/Documentation
|open_source_licensed=Yes
|license=Apache License 2.0 (Apache-2.0)
|model_source_public=Yes
|Link to source=https://github.com/energyscope/EnergyScope
|data_availability=all
|open_future=No
|modelling_software=GLPK/GLPSOL or AMPL/Cplex
|processing_software=Excel
|GUI=No
|model_class=Regional energy system design
|sectors=All (Electricity, Heating and mobility)
|Demand sectors=Households, Industry, Transport, Commercial sector, Other
|Energy carrier (Gas)=Natural gas, Biogas, Hydrogen
|Energy carrier (Liquid)=Diesel, Petrol
|Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium
|Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind
|Storage (Electricity)=Battery, CAES, Chemical, PHS
|Storage (Gas)=Yes
|Storage (Heat)=Yes
|User behaviour=End use demand hourly fixed (a priori)
|Market models=None
|decisions=dispatch, investment
|Changes in efficiency=None
|georegions=Region (Switzerland, Belgium)
|georesolution=Country
|timeresolution=Hour
|Observation period=Less than one month, Less than one year
|Additional dimensions (Ecological)=Total greenhouse gases emissions
|Additional dimensions (Economical)=Total system cost
|math_modeltype=Optimization
|math_modeltype_shortdesc=Linear programming (43 equations fully documented).
|math_objective=financial cost, greenhouse gases emissions
|is_suited_for_many_scenarios=Yes
|number_of_variables=200366
|montecarlo=Yes
|computation_time_minutes=1 (AMPL/Cplex) - 15 (GLPK/GLPSOL)
|computation_time_hardware=Intel®Core™ Quad i7-6600U CPU @2.60 GHz, with a memory of 16 Go, and a 64-bit system.
|computation_time_comments=Depends on the case complexity. Rarely exceeds 5 minutes.
|citation_references=Limpens G, Moret S, Jeanmart H, Maréchal F,EnergyScope TD: a novel open-source model for regional energy systems. Appl Energy 2019; Volume 255.
|citation_doi=10.1016/j.apenergy.2019.113729
|report_references=Limpens G, Moret S, Guidati G, Li X, Maréchal F, Jeanmart H. The role of storage in the Swiss energy transition. Proceedings of ECOS2019, june 23-28, 2019, Wroclaw, Poland. 2019 pages 761-774

Limpens, G., Jeanmart, H., & Maréchal, F. (2020). Belgian Energy Transition: What Are the Options?. Energies, 13(1), 261.
|example_research_questions=Role of storage?
Benefit of electrification?
How to handle high shares of renewables?
What is the impact of uncertainties on investment decisions?
|Model validation=Demonstration on previous year (2011)
|Comment on model validation=It is not a validation, but a comparison.
|Model input file format=No
|Model file format=No
|Model output file format=No
}}

EnergyScope

2020-02-06T10:56:29Z

Gauthier Limpens:

{{Model
|Full_Model_Name=EnergyScope
|Acronym=ES
|author_institution=EPFL, UCLouvain
|authors=Stefano Moret, Gauthier Limpens
|contact_persons=Gauthier Limpens
|contact_email=gauthier.limpens@uclouvain.be
|source_download=https://github.com/energyscope/EnergyScope
|text_description=EnergyScope is open-source model for the strategic energy planning
of urban and regional energy systems.
EnergyScope (v2.0) optimises both the investment and operating strategy of an entire energy system (including electricity, heating and mobility). Additionally, its hourly resolution (using typical days) makes the model suitable for the integration of intermittent renewables, and its concise mathematical formulation and computational effciency are appropriate for uncertainty applications.
|Primary outputs=Energy system design
|User documentation=https://github.com/energyscope/EnergyScope/tree/master/Documentation
|Code documentation=https://github.com/energyscope/EnergyScope/tree/master/Documentation
|open_source_licensed=Yes
|license=Apache License 2.0 (Apache-2.0)
|model_source_public=Yes
|Link to source=https://github.com/energyscope/EnergyScope
|data_availability=all
|open_future=No
|modelling_software=GLPK/GLPSOL or AMPL/Cplex
|processing_software=Excel
|GUI=No
|model_class=Regional energy system design
|sectors=All (Electricity, Heating and mobility)
|Demand sectors=Households, Industry, Transport, Commercial sector, Other
|Energy carrier (Gas)=Natural gas, Biogas, Hydrogen
|Energy carrier (Liquid)=Diesel, Petrol
|Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium
|Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind
|Storage (Electricity)=Battery, CAES, Chemical, PHS
|Storage (Gas)=Yes
|Storage (Heat)=Yes
|User behaviour=End use demand hourly fixed (a priori)
|Market models=None
|decisions=dispatch, investment
|Changes in efficiency=None
|georegions=Region (Switzerland, Belgium)
|georesolution=Country
|timeresolution=Hour
|Observation period=Less than one month, Less than one year
|Additional dimensions (Ecological)=Total greenhouse gases emissions
|Additional dimensions (Economical)=Total system cost
|math_modeltype=Optimization
|math_modeltype_shortdesc=Linear programming (43 equations fully documented).
|math_objective=financial cost, greenhouse gases emissions
|is_suited_for_many_scenarios=Yes
|number_of_variables=200366
|montecarlo=Yes
|computation_time_minutes=1 (AMPL/Cplex) - 15 (GLPK/GLPSOL)
|computation_time_hardware=Intel®Core™ Quad i7-6600U CPU @2.60 GHz, with a memory of 16 Go, and a 64-bit system.
|computation_time_comments=Depends on the case complexity. Rarely exceeds 5 minutes.
|citation_references=Limpens G, Moret S, Jeanmart H, Maréchal F,EnergyScope TD: a novel open-source model for regional energy systems. Appl Energy 2019; Volume 255.
|citation_doi=10.1016/j.apenergy.2019.113729
|report_references=Limpens G, Moret S, Guidati G, Li X, Maréchal F, Jeanmart H. The role of storage in the Swiss energy transition. Proceedings of ECOS2019, june 23-28, 2019, Wroclaw, Poland. 2019 pages 761-774
Limpens, G., Jeanmart, H., & Maréchal, F. (2020). Belgian Energy Transition: What Are the Options?. Energies, 13(1), 261.
|example_research_questions=Role of storage?
Benefit of electrification?
How to handle high shares of renewables?
What is the impact of uncertainties on investment decisions?
|Model validation=Demonstration on previous year (2011)
|Comment on model validation=It is not a validation, but a comparison.
|Model input file format=No
|Model file format=No
|Model output file format=No
}}

EnergyScope

2019-09-23T13:17:51Z

Gauthier Limpens:

{{Model
|Full_Model_Name=EnergyScope
|Acronym=ES
|author_institution=EPFL, UCLouvain
|authors=Stefano Moret, Gauthier Limpens
|contact_persons=Gauthier Limpens
|contact_email=gauthier.limpens@uclouvain.be
|source_download=https://github.com/energyscope/EnergyScope
|text_description=EnergyScope is open-source model for the strategic energy planning
of urban and regional energy systems.
EnergyScope (v2.0) optimises both the investment and operating strategy of an entire energy system (including electricity, heating and mobility). Additionally, its hourly resolution (using typical days) makes the model suitable for the integration of intermittent renewables, and its concise mathematical formulation and computational effciency are appropriate for uncertainty applications.
|Primary outputs=Energy system design
|User documentation=https://github.com/energyscope/EnergyScope/tree/master/Documentation
|Code documentation=https://github.com/energyscope/EnergyScope/tree/master/Documentation
|open_source_licensed=Yes
|license=Apache License 2.0 (Apache-2.0)
|model_source_public=Yes
|Link to source=https://github.com/energyscope/EnergyScope
|data_availability=all
|open_future=No
|modelling_software=GLPK/GLPSOL or AMPL/Cplex
|processing_software=Excel
|GUI=No
|model_class=Regional energy system design
|sectors=All (Electricity, Heating and mobility)
|Demand sectors=Households, Industry, Transport, Commercial sector, Other
|Energy carrier (Gas)=Natural gas, Biogas, Hydrogen
|Energy carrier (Liquid)=Diesel, Petrol
|Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium
|Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind
|Storage (Electricity)=Battery, CAES, Chemical, PHS
|Storage (Gas)=Yes
|Storage (Heat)=Yes
|User behaviour=End use demand hourly fixed (a priori)
|Market models=None
|decisions=dispatch, investment
|Changes in efficiency=None
|georegions=Region (Switzerland, Belgium)
|georesolution=Country
|timeresolution=Hour
|Observation period=Less than one month, Less than one year
|Additional dimensions (Ecological)=Total greenhouse gases emissions
|Additional dimensions (Economical)=Total system cost
|math_modeltype=Optimization
|math_modeltype_shortdesc=Linear programming (43 equations fully documented).
|math_objective=financial cost, greenhouse gases emissions
|is_suited_for_many_scenarios=Yes
|number_of_variables=200366
|montecarlo=Yes
|computation_time_minutes=1 (AMPL/Cplex) - 15 (GLPK/GLPSOL)
|computation_time_hardware=Intel®Core™ Quad i7-6600U CPU @2.60 GHz, with a memory of 16 Go, and a 64-bit system.
|computation_time_comments=Depends on the case complexity. Rarely exceeds 5 minutes.
|citation_references=Limpens G, Moret S, Jeanmart H, Maréchal F,EnergyScope TD: a novel open-source model for regional energy systems. Appl Energy 2019; Volume 255.
|citation_doi=10.1016/j.apenergy.2019.113729
|report_references=Limpens G, Moret S, Guidati G, Li X, Maréchal F, Jeanmart H. The role of storage in the Swiss energy transition. Proceedings of ECOS2019, june 23-28, 2019, Wroclaw, Poland. 2019 pages 761-774
|example_research_questions=Role of storage?
Benefit of electrification?
How to handle high shares of renewables?
|Model validation=Demonstration on previous year (2011)
|Comment on model validation=It is not a validation, but a comparison.
|Model input file format=No
|Model file format=No
|Model output file format=No
}}

EnergyScope

2019-09-23T13:17:32Z

Gauthier Limpens:

{{Model
|Full_Model_Name=EnergyScope
|Acronym=ES
|author_institution=EPFL, UCLouvain
|authors=Stefano Moret, Gauthier Limpens
|contact_persons=Gauthier Limpens
|contact_email=gauthier.limpens@uclouvain.be
|source_download=https://github.com/energyscope/EnergyScope
|text_description=EnergyScope is open-source model for the strategic energy planning
of urban and regional energy systems.
EnergyScope (v2.0) optimises both the investment and operating strategy of an entire energy system (including electricity, heating and mobility). Additionally, its hourly resolution (using typical days) makes the model suitable for the integration of intermittent renewables, and its concise mathematical formulation and computational effciency are appropriate for uncertainty applications.
|Primary outputs=Energy system design
|User documentation=https://github.com/energyscope/EnergyScope/tree/master/Documentation
|Code documentation=https://github.com/energyscope/EnergyScope/tree/master/Documentation
|open_source_licensed=Yes
|license=Apache License 2.0 (Apache-2.0)
|model_source_public=Yes
|Link to source=https://github.com/energyscope/EnergyScope
|data_availability=all
|open_future=No
|modelling_software=GLPK/GLPSOL or AMPL/Cplex
|processing_software=Excel
|GUI=No
|model_class=Regional energy system design
|sectors=All (Electricity, Heating and mobility)
|Demand sectors=Households, Industry, Transport, Commercial sector, Other
|Energy carrier (Gas)=Natural gas, Biogas, Hydrogen
|Energy carrier (Liquid)=Diesel, Petrol
|Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium
|Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind
|Storage (Electricity)=Battery, CAES, Chemical, PHS
|Storage (Gas)=Yes
|Storage (Heat)=Yes
|User behaviour=End use demand hourly fixed (a priori)
|Market models=None
|decisions=dispatch, investment
|Changes in efficiency=None
|georegions=Region (Switzerland, Belgium)
|georesolution=Country
|timeresolution=Hour
|Observation period=Less than one month, Less than one year
|Additional dimensions (Ecological)=Total greenhouse gases emissions
|Additional dimensions (Economical)=Total system cost
|math_modeltype=Optimization
|math_modeltype_shortdesc=Linear programming (43 equations fully documented).
|math_objective=financial cost, greenhouse gases emissions
|is_suited_for_many_scenarios=Yes
|number_of_variables=200366
|montecarlo=Yes
|computation_time_minutes=1 (AMPL/Cplex) - 15 (GLPK/GLPSOL)
|computation_time_hardware=Intel®Core™ Quad i7-6600U CPU @2.60 GHz, with a memory of 16 Go, and a 64-bit system.
|computation_time_comments=Depends on the case complexity. Rarely exceeds 5 minutes.
|citation_references=Limpens G, Moret S, Jeanmart H, Maréchal F,EnergyScope TD: a novel open-source model for regional energy systems. Appl Energy 2019; Volume 255.
|citation_doi=/10.1016/j.apenergy.2019.113729
|report_references=Limpens G, Moret S, Guidati G, Li X, Maréchal F, Jeanmart H. The role of storage in the Swiss energy transition. Proceedings of ECOS2019, june 23-28, 2019, Wroclaw, Poland. 2019 pages 761-774
|example_research_questions=Role of storage?
Benefit of electrification?
How to handle high shares of renewables?
|Model validation=Demonstration on previous year (2011)
|Comment on model validation=It is not a validation, but a comparison.
|Model input file format=No
|Model file format=No
|Model output file format=No
}}

EnergyScope

2019-09-23T13:15:45Z

Gauthier Limpens:

{{Model
|Full_Model_Name=EnergyScope
|Acronym=ES
|author_institution=EPFL, UCLouvain
|authors=Stefano Moret, Gauthier Limpens
|contact_persons=Gauthier Limpens
|contact_email=gauthier.limpens@uclouvain.be
|source_download=https://github.com/energyscope/EnergyScope
|text_description=EnergyScope is open-source model for the strategic energy planning
of urban and regional energy systems.
EnergyScope (v2.0) optimises both the investment and operating strategy of an entire energy system (including electricity, heating and mobility). Additionally, its hourly resolution (using typical days) makes the model suitable for the integration of intermittent renewables, and its concise mathematical formulation and computational effciency are appropriate for uncertainty applications.
|Primary outputs=Energy system design
|User documentation=https://github.com/energyscope/EnergyScope/tree/master/Documentation
|Code documentation=https://github.com/energyscope/EnergyScope/tree/master/Documentation
|open_source_licensed=Yes
|license=Apache License 2.0 (Apache-2.0)
|model_source_public=Yes
|Link to source=https://github.com/energyscope/EnergyScope
|data_availability=all
|open_future=No
|modelling_software=GLPK/GLPSOL or AMPL/Cplex
|processing_software=Excel
|GUI=No
|model_class=Regional energy system design
|sectors=All (Electricity, Heating and mobility)
|Demand sectors=Households, Industry, Transport, Commercial sector, Other
|Energy carrier (Gas)=Natural gas, Biogas, Hydrogen
|Energy carrier (Liquid)=Diesel, Petrol
|Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium
|Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind
|Storage (Electricity)=Battery, CAES, Chemical, PHS
|Storage (Gas)=Yes
|Storage (Heat)=Yes
|User behaviour=End use demand hourly fixed (a priori)
|Market models=None
|decisions=dispatch, investment
|Changes in efficiency=None
|georegions=Region (Switzerland, Belgium)
|georesolution=Country
|timeresolution=Hour
|Observation period=Less than one month, Less than one year
|Additional dimensions (Ecological)=Total greenhouse gases emissions
|Additional dimensions (Economical)=Total system cost
|math_modeltype=Optimization
|math_modeltype_shortdesc=Linear programming (43 equations fully documented).
|math_objective=financial cost, greenhouse gases emissions
|is_suited_for_many_scenarios=Yes
|number_of_variables=200366
|montecarlo=Yes
|computation_time_minutes=1 (AMPL/Cplex) - 15 (GLPK/GLPSOL)
|computation_time_hardware=Intel®Core™ Quad i7-6600U CPU @2.60 GHz, with a memory of 16 Go, and a 64-bit system.
|computation_time_comments=Depends on the case complexity. Rarely exceeds 5 minutes.
|citation_references=Limpens G, Moret S, Jeanmart H, Maréchal F,EnergyScope TD: a novel open-source model for regional energy systems. Appl Energy 2019; Volume 255.
|citation_doi=/10.1016/j.apenergy.2019.113729
|report_references=Limpens G, Moret S, Guidati G, Li X, Maréchal F, Jeanmart H. The role of storage in the Swiss energy transition. Proceedings of ECOS2019, june 23-28, 2019, WROCLAW, POLAND. 2019 pages 761-774
|example_research_questions=Role of storage?
Benefit of electrification?
How to handle high shares of renewables?
|Model validation=Demonstration on previous year (2011)
|Comment on model validation=It is not a validation, but a comparison.
|Model input file format=No
|Model file format=No
|Model output file format=No
}}

EnergyScope

2019-09-20T09:26:59Z

Gauthier Limpens:

{{Model
|Full_Model_Name=EnergyScope
|Acronym=ES
|author_institution=EPFL, UCLouvain
|authors=Stefano Moret, Gauthier Limpens
|contact_persons=Gauthier Limpens
|contact_email=gauthier.limpens@uclouvain.be
|source_download=https://github.com/energyscope/EnergyScope
|text_description=EnergyScope is open-source model for the strategic energy planning
of urban and regional energy systems.
EnergyScope (v2.0) optimises both the investment and operating strategy of an entire energy system (including electricity, heating and mobility). Additionally, its hourly resolution (using typical days) makes the model suitable for the integration of intermittent renewables, and its concise mathematical formulation and computational effciency are appropriate for uncertainty applications.
|Primary outputs=Energy system design
|User documentation=https://github.com/energyscope/EnergyScope/tree/master/Documentation
|Code documentation=https://github.com/energyscope/EnergyScope/tree/master/Documentation
|open_source_licensed=Yes
|license=Apache License 2.0 (Apache-2.0)
|model_source_public=Yes
|Link to source=https://github.com/energyscope/EnergyScope
|data_availability=all
|open_future=No
|modelling_software=GLPK/GLPSOL or AMPL/Cplex
|processing_software=Excel
|GUI=No
|model_class=Regional energy system design
|sectors=All (Electricity, Heating and mobility)
|Demand sectors=Households, Industry, Transport, Commercial sector, Other
|Energy carrier (Gas)=Natural gas, Biogas, Hydrogen
|Energy carrier (Liquid)=Diesel, Petrol
|Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium
|Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind
|Storage (Electricity)=Battery, CAES, Chemical, PHS
|Storage (Gas)=Yes
|Storage (Heat)=Yes
|User behaviour=End use demand hourly fixed (a priori)
|Market models=None
|decisions=dispatch, investment
|Changes in efficiency=None
|georegions=Region (Switzerland, Belgium)
|georesolution=Country
|timeresolution=Hour
|Observation period=Less than one month, Less than one year
|Additional dimensions (Ecological)=Total greenhouse gases emissions
|Additional dimensions (Economical)=Total system cost
|math_modeltype=Optimization
|math_modeltype_shortdesc=Linear programming (43 equations fully documented).
|math_objective=financial cost, greenhouse gases emissions
|is_suited_for_many_scenarios=Yes
|number_of_variables=200366
|montecarlo=Yes
|computation_time_minutes=1 (AMPL/Cplex) - 15 (GLPK/GLPSOL)
|computation_time_hardware=Intel®Core™ Quad i7-6600U CPU @2.60 GHz, with a memory of 16 Go, and a 64-bit system.
|computation_time_comments=Depends on the case complexity. Rarely exceeds 5 minutes.
|citation_references=Limpens G, Moret S, Jeanmart H, Maréchal F,EnergyScope TD: a novel open-source model for regional energy systems. Appl Energy 2019; Volume 255.
|citation_doi=https://doi.org/10.1016/j.apenergy.2019.113729
|report_references=Limpens G, Moret S, Guidati G, Li X, Maréchal F, Jeanmart H. The role of storage in the Swiss energy transition. PROCEEDINGS OF ECOS 2019 - THE 32ND INTERNATIONAL CONFERENCE ON EFFICIENCY, COST, OPTIMIZATION, SIMULATION AND ENVIRONMENTAL IMPACT OF ENERGY SYSTEMS JUNE 23-28, 2019, WROCLAW, POLAND. 2019 pages 761-774
|example_research_questions=Role of storage?
Benefit of electrification?
How to handle high shares of renewables?
|Model validation=Demonstration on previous year (2011)
|Comment on model validation=It is not a validation, but a comparison.
|Model input file format=No
|Model file format=No
|Model output file format=No
}}

EnergyScope

2019-09-20T09:25:53Z

Gauthier Limpens:

{{Model
|Full_Model_Name=EnergyScope
|Acronym=ES
|author_institution=EPFL, UCLouvain
|authors=Stefano Moret, Gauthier Limpens
|contact_persons=Gauthier Limpens
|contact_email=gauthier.limpens@uclouvain.be
|source_download=https://github.com/energyscope/EnergyScope
|text_description=EnergyScope is open-source model for the strategic energy planning
of urban and regional energy systems.
EnergyScope (v2.0) optimises both the investment and operating strategy of an entire energy system (including electricity, heating and mobility). Additionally, its hourly resolution (using typical days) makes the model suitable for the integration of intermittent renewables, and its concise mathematical formulation and computational effciency are appropriate for uncertainty applications.
|Primary outputs=Energy system design
|User documentation=https://github.com/energyscope/EnergyScope/tree/master/Documentation
|Code documentation=https://github.com/energyscope/EnergyScope/tree/master/Documentation
|open_source_licensed=Yes
|license=Apache License 2.0 (Apache-2.0)
|model_source_public=Yes
|Link to source=https://github.com/energyscope/EnergyScope
|data_availability=all
|open_future=No
|modelling_software=GLPK/GLPSOL or AMPL/Cplex
|processing_software=Excel
|GUI=No
|model_class=Regional energy system design
|sectors=All (Electricity, Heating and mobility)
|Demand sectors=Households, Industry, Transport, Commercial sector, Other
|Energy carrier (Gas)=Natural gas, Biogas, Hydrogen
|Energy carrier (Liquid)=Diesel, Petrol
|Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium
|Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind
|Storage (Electricity)=Battery, CAES, Chemical, PHS
|Storage (Gas)=Yes
|Storage (Heat)=Yes
|User behaviour=End use demand hourly fixed (a priori)
|Market models=None
|decisions=dispatch, investment
|Changes in efficiency=None
|georegions=Region (Switzerland, Belgium)
|georesolution=Country
|timeresolution=Hour
|Observation period=Less than one month, Less than one year
|Additional dimensions (Ecological)=Total greenhouse gases emissions
|Additional dimensions (Economical)=Total system cost
|math_modeltype=Optimization
|math_modeltype_shortdesc=Linear programming (43 equations fully documented).
|math_objective=financial cost, greenhouse gases emissions
|is_suited_for_many_scenarios=Yes
|number_of_variables=200366
|montecarlo=Yes
|computation_time_minutes=1 (AMPL/Cplex) - 15 (GLPK/GLPSOL)
|computation_time_hardware=Intel®Core™ Quad i7-6600U CPU @2.60 GHz, with a memory of 16 Go, and a 64-bit system.
|computation_time_comments=Depends on the case complexity. Rarely exceeds 5 minutes.
|citation_references=Limpens G, Moret S, Jeanmart H, Maréchal F,EnergyScope TD: a novel open-source model for regional energy systems. Appl Energy 2019; Volume 255. DOI :https://doi.org/10.1016/j.apenergy.2019.113729
|citation_doi=https://doi.org/10.1016/j.apenergy.2019.113729
|report_references=Limpens G, Moret S, Guidati G, Li X, Maréchal F, Jeanmart H. The role of storage in the Swiss energy transition. PROCEEDINGS OF ECOS 2019 - THE 32ND INTERNATIONAL CONFERENCE ON EFFICIENCY, COST, OPTIMIZATION, SIMULATION AND ENVIRONMENTAL IMPACT OF ENERGY SYSTEMS JUNE 23-28, 2019, WROCLAW, POLAND. 2019 pages 761-774
|example_research_questions=Role of storage?
Benefit of electrification?
How to handle high shares of renewables?
|Model validation=Demonstration on previous year (2011)
|Comment on model validation=It is not a validation, but a comparison.
|Model input file format=No
|Model file format=No
|Model output file format=No
}}

EnergyScope

2019-09-20T09:24:14Z

Gauthier Limpens:

{{Model
|Full_Model_Name=EnergyScope
|Acronym=ES
|author_institution=EPFL, UCLouvain
|authors=Stefano Moret, Gauthier Limpens
|contact_persons=Gauthier Limpens
|contact_email=gauthier.limpens@uclouvain.be
|source_download=https://github.com/energyscope/EnergyScope
|text_description=EnergyScope is open-source model for the strategic energy planning
of urban and regional energy systems.
EnergyScope (v2.0) optimises both the investment and operating strategy of an entire energy system (including electricity, heating and mobility). Additionally, its hourly resolution (using typical days) makes the model suitable for the integration of intermittent renewables, and its concise mathematical formulation and computational effciency are appropriate for uncertainty applications.
|Primary outputs=Energy system design
|User documentation=https://github.com/energyscope/EnergyScope/tree/master/Documentation
|Code documentation=https://github.com/energyscope/EnergyScope/tree/master/Documentation
|open_source_licensed=Yes
|license=Apache License 2.0 (Apache-2.0)
|model_source_public=Yes
|Link to source=https://github.com/energyscope/EnergyScope
|data_availability=all
|open_future=No
|modelling_software=GLPK/GLPSOL or AMPL/Cplex
|processing_software=Excel
|GUI=No
|model_class=Regional energy system design
|sectors=All (Electricity, Heating and mobility)
|Demand sectors=Households, Industry, Transport, Commercial sector, Other
|Energy carrier (Gas)=Natural gas, Biogas, Hydrogen
|Energy carrier (Liquid)=Diesel, Petrol
|Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium
|Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind
|Storage (Electricity)=Battery, CAES, Chemical, PHS
|Storage (Gas)=Yes
|Storage (Heat)=Yes
|User behaviour=End use demand hourly fixed (a priori)
|Market models=None
|decisions=dispatch, investment
|Changes in efficiency=None
|georegions=Region (Switzerland, Belgium)
|georesolution=Country
|timeresolution=Hour
|Observation period=Less than one month, Less than one year
|Additional dimensions (Ecological)=Total greenhouse gases emissions
|Additional dimensions (Economical)=Total system cost
|math_modeltype=Optimization
|math_modeltype_shortdesc=concise mathematical formulation (GLPK/AMPL) and computational effciency are appropriate for uncertainty applications
|math_objective=financial cost, greenhouse gases emissions
|is_suited_for_many_scenarios=Yes
|number_of_variables=200366
|montecarlo=Yes
|computation_time_minutes=1 (AMPL/Cplex) - 15 (GLPK/GLPSOL)
|computation_time_hardware=Intel®Core™ Quad i7-6600U CPU @2.60 GHz, with a memory of 16 Go, and a 64-bit system.
|computation_time_comments=Depends on the case complexity. Rarely exceeds 5 minutes.
|citation_references=Limpens G, Moret S, Jeanmart H, Maréchal F,EnergyScope TD: a novel open-source model for regional energy systems. Appl Energy 2019; Volume 255. DOI :https://doi.org/10.1016/j.apenergy.2019.113729
|citation_doi=https://doi.org/10.1016/j.apenergy.2019.113729
|report_references=Limpens G, Moret S, Guidati G, Li X, Maréchal F, Jeanmart H. The role of storage in the Swiss energy transition. PROCEEDINGS OF ECOS 2019 - THE 32ND INTERNATIONAL CONFERENCE ON EFFICIENCY, COST, OPTIMIZATION, SIMULATION AND ENVIRONMENTAL IMPACT OF ENERGY SYSTEMS JUNE 23-28, 2019, WROCLAW, POLAND. 2019 pages 761-774
|example_research_questions=Role of storage?
Benefit of electrification?
How to handle high shares of renewables?
|Model validation=Demonstration on previous year (2011)
|Comment on model validation=It is not a validation, but a comparison.
|Model input file format=No
|Model file format=No
|Model output file format=No
}}

EnergyScope

2019-09-20T09:23:19Z

Gauthier Limpens:

{{Model
|Full_Model_Name=EnergyScope
|Acronym=ES
|author_institution=EPFL, UCLouvain
|authors=Stefano Moret, Gauthier Limpens
|contact_persons=Gauthier Limpens
|contact_email=gauthier.limpens@uclouvain.be
|source_download=https://github.com/energyscope/EnergyScope
|text_description=EnergyScope is open-source model for the strategic energy planning
of urban and regional energy systems.
EnergyScope (v2.0) optimises both the investment and operating strategy of an entire energy system (including electricity, heating and mobility). Additionally, its hourly resolution (using typical days) makes the model suitable for the integration of intermittent renewables, and its concise mathematical formulation and computational effciency are appropriate for uncertainty applications.
|Primary outputs=Energy system design
|User documentation=https://github.com/energyscope/EnergyScope/tree/master/Documentation
|Code documentation=https://github.com/energyscope/EnergyScope/tree/master/Documentation
|open_source_licensed=Yes
|license=Apache License 2.0 (Apache-2.0)
|model_source_public=Yes
|Link to source=https://github.com/energyscope/EnergyScope
|data_availability=all
|open_future=No
|modelling_software=GLPK/GLPSOL or AMPL/Cplex
|processing_software=Excel
|GUI=No
|model_class=Regional energy system design
|sectors=All (Electricity, Heating and mobility)
|Demand sectors=Households, Industry, Transport, Commercial sector, Other
|Energy carrier (Gas)=Natural gas, Biogas, Hydrogen
|Energy carrier (Liquid)=Diesel, Petrol
|Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium
|Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind
|Storage (Electricity)=Battery, CAES, Chemical, PHS
|Storage (Gas)=Yes
|Storage (Heat)=Yes
|User behaviour=End use demand hourly fixed (a priori)
|Market models=None
|decisions=dispatch, investment
|Changes in efficiency=None
|georegions=Region (Switzerland, Belgium)
|georesolution=Country
|timeresolution=Hour
|network_coverage=transmission
|Observation period=Less than one month, Less than one year
|Additional dimensions (Ecological)=Total greenhouse gases emissions
|Additional dimensions (Economical)=Total system cost
|math_modeltype=Optimization
|math_modeltype_shortdesc=concise mathematical formulation (GLPK/AMPL) and computational effciency are appropriate for uncertainty applications
|math_objective=financial cost, greenhouse gases emissions
|is_suited_for_many_scenarios=Yes
|number_of_variables=200366
|montecarlo=Yes
|computation_time_minutes=1 (AMPL/Cplex) - 15 (GLPK/GLPSOL)
|computation_time_hardware=Intel®Core™ Quad i7-6600U CPU @2.60 GHz, with a memory of 16 Go, and a 64-bit system.
|computation_time_comments=Depends on the case complexity. Rarely exceeds 5 minutes.
|citation_references=Limpens G, Moret S, Jeanmart H, Maréchal F,EnergyScope TD: a novel open-source model for regional energy systems. Appl Energy 2019; Volume 255. DOI :https://doi.org/10.1016/j.apenergy.2019.113729
|citation_doi=https://doi.org/10.1016/j.apenergy.2019.113729
|report_references=Limpens G, Moret S, Guidati G, Li X, Maréchal F, Jeanmart H. The role of storage in the Swiss energy transition. PROCEEDINGS OF ECOS 2019 - THE 32ND INTERNATIONAL CONFERENCE ON EFFICIENCY, COST, OPTIMIZATION, SIMULATION AND ENVIRONMENTAL IMPACT OF ENERGY SYSTEMS JUNE 23-28, 2019, WROCLAW, POLAND. 2019 pages 761-774
|example_research_questions=Role of storage?
Benefit of electrification?
How to handle high shares of renewables?
|Model validation=Demonstration on previous year (2011)
|Comment on model validation=It is not a validation, but a comparison.
|Model input file format=No
|Model file format=No
|Model output file format=No
}}

EnergyScope

2019-09-20T09:22:15Z

Gauthier Limpens: Created page with "{{Model |Full_Model_Name=EnergyScope |Acronym=ES |author_institution=EPFL, UCLouvain |authors=Stefano Moret, Gauthier Limpens |contact_persons=Gauthier Limpens |contact_email=..."

{{Model
|Full_Model_Name=EnergyScope
|Acronym=ES
|author_institution=EPFL, UCLouvain
|authors=Stefano Moret, Gauthier Limpens
|contact_persons=Gauthier Limpens
|contact_email=gauthier.limpens@uclouvain.be
|source_download=https://github.com/energyscope/EnergyScope
|text_description=EnergyScope is open-source model for the strategic energy planning
of urban and regional energy systems.
EnergyScope (v2.0) optimises both the investment and operating strategy of an entire energy system (including electricity, heating and mobility). Additionally, its hourly resolution (using typical days) makes the model suitable for the integration of intermittent renewables, and its concise mathematical formulation and computational effciency are appropriate for uncertainty applications.
|Primary outputs=Energy system design
|User documentation=https://github.com/energyscope/EnergyScope/tree/master/Documentation
|Code documentation=https://github.com/energyscope/EnergyScope/tree/master/Documentation
|open_source_licensed=Yes
|license=Apache License 2.0 (Apache-2.0)
|model_source_public=Yes
|Link to source=https://github.com/energyscope/EnergyScope
|data_availability=all
|open_future=No
|modelling_software=GLPK; AMPL
|processing_software=Excel
|External optimizer=Cplex
|GUI=No
|model_class=Regional energy system design
|sectors=All (Electricity, Heating and mobility)
|Demand sectors=Households, Industry, Transport, Commercial sector, Other
|Energy carrier (Gas)=Natural gas, Biogas, Hydrogen
|Energy carrier (Liquid)=Diesel, Petrol
|Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium
|Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind
|Storage (Electricity)=Battery, CAES, Chemical, PHS
|Storage (Gas)=Yes
|Storage (Heat)=Yes
|User behaviour=End use demand hourly fixed (a priori)
|Market models=None
|decisions=dispatch, investment
|Changes in efficiency=None
|georegions=Region (Switzerland, Belgium)
|georesolution=Country
|timeresolution=Hour
|network_coverage=transmission
|Observation period=Less than one month, Less than one year
|Additional dimensions (Ecological)=Total greenhouse gases emissions
|Additional dimensions (Economical)=Total system cost
|math_modeltype=Optimization
|math_modeltype_shortdesc=concise mathematical formulation (GLPK/AMPL) and computational effciency are appropriate for uncertainty applications
|math_objective=financial cost, greenhouse gases emissions
|is_suited_for_many_scenarios=Yes
|number_of_variables=200366
|montecarlo=Yes
|computation_time_minutes=1 (AMPL/Cplex) - 15 (GLPK/GLPSOL)
|computation_time_hardware=Intel®Core™ Quad i7-6600U CPU @2.60 GHz, with a memory of 16 Go, and a 64-bit system.
|computation_time_comments=Depends on the case complexity. Rarely exceeds 5 minutes.
|citation_references=Limpens G, Moret S, Jeanmart H, Maréchal F,EnergyScope TD: a novel open-source model for regional energy systems. Appl Energy 2019; Volume 255. DOI :https://doi.org/10.1016/j.apenergy.2019.113729
|citation_doi=https://doi.org/10.1016/j.apenergy.2019.113729
|report_references=Limpens G, Moret S, Guidati G, Li X, Maréchal F, Jeanmart H. The role of storage in the Swiss energy transition. PROCEEDINGS OF ECOS 2019 - THE 32ND INTERNATIONAL CONFERENCE ON EFFICIENCY, COST, OPTIMIZATION, SIMULATION AND ENVIRONMENTAL IMPACT OF ENERGY SYSTEMS JUNE 23-28, 2019, WROCLAW, POLAND. 2019 pages 761-774
|example_research_questions=Role of storage?
Benefit of electrification?
How to handle high shares of renewables?
|Model validation=Demonstration on previous year (2011)
|Comment on model validation=It is not a validation, but a comparison.
|Model input file format=No
|Model file format=No
|Model output file format=No
}}