|
|
Line 4: |
Line 4: |
| *Standardization of answers (and maximum length for fields?) | | *Standardization of answers (and maximum length for fields?) |
| *Possible gap-filling and cleaning up of answer (preferably done by authors) | | *Possible gap-filling and cleaning up of answer (preferably done by authors) |
− | *Adding/removing variables and possibly new tables ([[RTECOLONFile:[[Special:ViewXML|http://wiki.openmod-initiative.org/wiki/Special:ViewXML?title=Special:ViewXML&categories]][Model]=on|here]] the raw XML can be found which shows which data is available) | + | *Adding/removing variables and possibly new tables ([[RTECOLONFile:[[Special:ViewXML|http://wiki.openmod-initiative.org/wiki/Special:ViewXML?title=Special:ViewXML&categories]][Model]=on|here]] the raw XML can be found which shows which data is available)<br/> |
| + | *Possibly add number of publications? On the one hand shows how established the model is, on the other hand doubtful if model pages are updated freuqently enough to be a reliable source |
| | | |
| <br/> | | <br/> |
Line 10: |
Line 11: |
| '''Overview of models by purpose, scope and modelling type''' | | '''Overview of models by purpose, scope and modelling type''' |
| | | |
− | {{#ask: [[Category:Model]] [[open_source_licensed :: true]] | ? sectors | ? model_class | ? decisions | ? timeresolution | ? georesolution | ? is_suited_for_many_scenarios| format = broadtable | mainlabel = Model }} | + | {{#ask: [[Category:Model]] [[open_source_licensed :: true]] | ? sectors | ? model_class |? math_modeltype | ? decisions | ? timeresolution | ? georesolution | ? is_suited_for_many_scenarios| format = broadtable | mainlabel = Model }} |
| | | |
| Todo | | Todo |
| | | |
− | *Model class and sector are not very unified (e.g. GAMS as model class; electricity market, electricity sector, electricity all point to the same sector). Others like Framework are true, but underlying we have an optimization and/or simulation. | + | *Model class and sector are not very unified (e.g. compare "GAMS" and "Framework" both used as description of model class; electricity market, electricity sector, electricity all point to the same sector). Probably we should create new clearly defined categories with limited choices, or use existing ones more efficiently |
| | | |
| <br/>'''Overview of models by type, software, implementation and processing''' | | <br/>'''Overview of models by type, software, implementation and processing''' |
Model |
Sectors |
Model class |
Math modeltype |
Decisions |
Timeresolution |
Georesolution |
Is suited for many scenarios |
AMIRIS |
electricity |
Agent-based electricity market model |
Simulation Agent-based |
dispatch |
Hour |
National |
true |
ASAM |
Electricity Electricity Market Electric power |
Agent-based Simulation Market Model Electricity System Model German and European Electricity Market |
Simulation Agent-based |
dispatch |
15 Minute |
Individual power stations |
true |
ASSUME |
All / Electricity |
German and European Electricity Market Network-constrained Unit Commitment and Economic Dispatch Agent-based electricity market model |
Simulation Agent-based |
dispatch |
15 Minute |
NUTS0 - NUTS3, for DE |
false |
Antares-Simulator |
Electricity Methane Hydrogen Heat |
Capacity Expansion Problem Production Cost Model |
Optimization Simulation |
dispatch investment |
Hour |
NUTS0 - NUTS2 |
true |
AnyMOD |
User-dependent |
Framework |
Optimization |
dispatch investment |
Hour |
User-dependent |
true |
Backbone |
All |
Framework |
Optimization |
dispatch investment |
15 Minute |
Depends on user |
true |
Balmorel |
User-dependent |
Energy System Model |
Optimization |
dispatch investment |
Hour |
Hierarchical: countries, regions, areas |
true |
Breakthrough Energy Model |
Electricity |
Framework |
Optimization Simulation |
dispatch |
Hour |
Nodal |
false |
CAPOW |
Electric power |
CAISO and Mid-Columbia markets/U.S. West Coast |
Simulation |
dispatch |
Hour |
Zonal |
true |
CESAR-P |
electricity heating cooling domestic hot water |
Swiss building stock |
Simulation |
|
Hour |
depending on input data |
false |
Calliope |
User-dependent |
Framework |
Optimization |
dispatch investment |
Hour |
User-dependent |
true |
CapacityExpansion |
electricity heat gas |
Capacity Expansion Problem |
Optimization |
dispatch investment |
|
input data dependent |
true |
DESSTinEE |
All / Electricity |
Simulation |
Simulation |
dispatch |
Hour |
National |
true |
DIETER |
electricity plus sector coupling (EVs P2Heat) |
Optimization |
Optimization |
dispatch investment |
Hour |
In most applications so far, Germany as one node; version with additional central European country nodes available |
true |
Demod |
end-use demand |
Simulation |
Simulation |
|
Minute |
depending on input data |
true |
Dispa-SET |
Power system |
EU power system |
Optimization |
dispatch |
Hour |
NUTS1 |
true |
ELMOD |
Electricity Heat |
German and European Electricity Market |
Optimization |
dispatch |
Hour |
power plant block, transmission network node |
false |
EMLab-Generation |
Electricity Market Carbon Market |
Agent-based Simulation |
Simulation Agent-based |
dispatch investment |
Year |
Zones |
true |
EMMA |
Electricity |
Power market model |
Optimization |
dispatch investment |
Hour |
Countries |
false |
EOLES elec |
Electricity Sector Carbon Market |
Electricity System Model |
Optimization Simulation |
dispatch investment |
Hour |
Country level |
false |
EOLES elecRES |
Electricity Sector |
Electricity System Model |
Optimization Simulation |
dispatch investment |
Hour |
Coutry |
false |
ESO-X |
Electricity |
power system model |
Optimization |
dispatch investment |
Hour |
single-node (ESONE: 29 nodes) |
true |
Energy Policy Simulator |
Electricity buildings transportation industry district heat land agriculture hydrogen etc... |
System Dynamics |
Simulation |
dispatch investment |
Year |
single region |
true |
Energy Transition Model |
Households Buildings Agriculture Transport Industry Energy |
Demand driven energy model |
Simulation |
dispatch |
Year |
Country |
true |
EnergyRt |
|
Reference Energy System |
Optimization |
|
|
|
true |
EnergyScope |
All (Electricity Heating and mobility) |
Regional energy system design |
Optimization |
dispatch investment |
Hour |
Country |
true |
Ficus |
electricity heating ... |
energy system optimization model |
Optimization |
dispatch investment |
15 Minute |
|
true |
FlexiGIS |
Electricity Sector |
urban energy systems |
Optimization Simulation |
|
15 Minute |
building, street, district, city |
false |
GRIMSEL-FLEX |
Electricity Heat Hydrogen Buildings Transport |
Energy System Model Optimization Social Planner |
Optimization |
dispatch |
Hour |
Consumer types and Urban settings |
false |
Genesys |
Electricity |
Electricity System Model |
Optimization Simulation |
dispatch investment |
Hour |
EUMENA, 21 regions |
false |
GridCal |
Electricity |
Transmission Network Model and Data (input and output) |
Optimization Simulation |
|
|
|
true |
HighRES |
Electricity |
European electricity system model GB electricity system model |
Optimization |
dispatch investment |
Hour |
Country level, 20 zones for GB |
true |
IRENA FlexTool |
All sectors (user can add more) |
Multi-purpose |
Optimization |
dispatch investment |
Hour |
User dependent |
true |
Lemlab |
local energy markets |
agent-based simulation |
Simulation Agent-based |
|
|
|
false |
LoadProfileGenerator |
|
|
|
|
Minute |
|
false |
MEDEAS |
electricity heat liquid fuels gas solid fuels |
|
Other |
|
Year |
global, continents, nations |
true |
Medea |
Electricity Heat |
Austrian and German electricity market |
Optimization |
dispatch investment |
Hour |
Countries |
true |
MicroGridsPy |
Micro-grids design |
Energy Modeling Framework |
Optimization |
dispatch investment |
Hour |
Village-scale |
true |
Mosaik |
electricity heat mobility household |
distributed energy systems smart grid simulation |
Optimization Simulation Agent-based |
|
Second |
|
true |
NEMO |
|
|
Optimization Simulation |
dispatch |
Hour |
NEM regions |
true |
NEMO (SEI) |
All |
Full energy system optimization flexible geographic and sectoral scope |
Optimization |
dispatch investment |
Hour |
Flexible - user-defined regionalization |
true |
OMEGAlpes |
Electricity Heat all |
Production consumption conversion storage |
Optimization |
|
|
|
false |
OSeMOSYS |
all |
|
Optimization |
investment |
Day |
Country |
true |
Oemof |
Electricity Heat Mobility |
Energy Modelling Framework |
Optimization Simulation |
dispatch investment |
Hour |
Depends on user |
false |
OnSSET |
|
|
Optimization |
|
Multi year |
1 km to 10 km |
false |
OpenTUMFlex |
Energy Electricity Market Households electricity plus sector coupling (EVs |
Energy System Model urban energy systems load shifting optimisation Local energy systems |
Optimization Simulation |
|
15 Minute |
User dependent |
false |
POMATO |
Electricity Market Heat |
Network-constrained Unit Commitment and Economic Dispatch |
Optimization |
dispatch |
Hour |
Nodal resolution |
false |
Pandapipes |
|
|
Simulation |
|
|
|
false |
Pandapower |
|
Transmission Network Model |
Simulation |
|
|
|
false |
PowNet |
Electricity Electric power Energy |
Network-constrained Unit Commitment and Economic Dispatch |
Optimization Simulation |
dispatch |
Hour |
High-voltage substation |
false |
Model |
Model class |
Modelling software |
Processing software |
AMIRIS |
Agent-based electricity market model |
Java |
Python |
ASAM |
Agent-based Simulation Market Model Electricity System Model German and European Electricity Market |
Python (Pyomo) |
Python, PyPSA, Mesa |
ASSUME |
German and European Electricity Market Network-constrained Unit Commitment and Economic Dispatch Agent-based electricity market model |
Python, Pyomo |
PostgreSQL |
Antares-Simulator |
Capacity Expansion Problem Production Cost Model |
C++, C |
Python, TypeScript |
AnyMOD |
Framework |
Julia/JuMP |
|
Backbone |
Framework |
GAMS |
Spine Toolbox or Excel |
Balmorel |
Energy System Model |
GAMS |
Excel, Python (Pandas) |
Breakthrough Energy Model |
Framework |
Julia/JuMP |
Python |
CAPOW |
CAISO and Mid-Columbia markets/U.S. West Coast |
Python (Pyomo) |
|
CESAR-P |
Swiss building stock |
Python, EnergyPlus |
|
Calliope |
Framework |
Python (Pyomo) |
Python (pandas et al) |
CapacityExpansion |
Capacity Expansion Problem |
Julia/JuMP |
Julia |
DESSTinEE |
Simulation |
Excel / VBA |
Excel / VBA |
DIETER |
Optimization |
GAMS; CPLEX |
MS Excel |
Demod |
Simulation |
Python |
Python |
Dispa-SET |
EU power system |
Python (Pyomo), GAMS |
Python |
ELMOD |
German and European Electricity Market |
GAMS |
|
EMLab-Generation |
Agent-based Simulation |
Java |
R |
EMMA |
Power market model |
GAMS |
|
EOLES elec |
Electricity System Model |
GAMS |
|
EOLES elecRES |
Electricity System Model |
GAMS |
|
ESO-X |
power system model |
GAMS; CPLEX |
R |
Energy Policy Simulator |
System Dynamics |
Vensim |
Vensim |
Energy Transition Model |
Demand driven energy model |
Developed in-house written in Ruby (on Rails) |
Excel / VBA |
EnergyRt |
Reference Energy System |
GAMS; GLPK |
R |
EnergyScope |
Regional energy system design |
GLPK/GLPSOL or AMPL/Cplex |
Excel |
Ficus |
energy system optimization model |
Python (Pyomo) |
Python (pandas et al) |
FlexiGIS |
urban energy systems |
Python |
Geopandas |
GRIMSEL-FLEX |
Energy System Model Optimization Social Planner |
Python (Pyomo) |
Python (pandas et al) |
Genesys |
Electricity System Model |
C++, boost library, MySQL and QT4, (optional CPLEX solver implementation) |
Excel/Matlab and a Visualisation tool programmed in QT4 (c++) |
GridCal |
Transmission Network Model and Data (input and output) |
Python |
Python |
HighRES |
European electricity system model GB electricity system model |
GAMS; CPLEX |
Python |
IRENA FlexTool |
Multi-purpose |
GNU MathProg |
Python, SQL |
Lemlab |
agent-based simulation |
Python, Pyomo |
PostgreSQL, Ethereum |
LoadProfileGenerator |
|
C# |
|
MEDEAS |
|
Phyton |
Phyton |
Medea |
Austrian and German electricity market |
GAMS |
Python |
MicroGridsPy |
Energy Modeling Framework |
Python (Pyomo) |
Excel |
Mosaik |
distributed energy systems smart grid simulation |
Python |
HDF5, InfluxDB, Grafana |
NEMO |
|
Python |
|
NEMO (SEI) |
Full energy system optimization flexible geographic and sectoral scope |
Julia |
SQLite |
OMEGAlpes |
Production consumption conversion storage |
OMEGAlpes, PuLP |
|
OSeMOSYS |
|
GNU MathProg |
Python |
Oemof |
Energy Modelling Framework |
Python, Pyomo, Coin-OR |
PostgreSQL, PostGIS |
OnSSET |
|
Python |
Python |
OpenTUMFlex |
Energy System Model urban energy systems load shifting optimisation Local energy systems |
Python (Pyomo) |
|
POMATO |
Network-constrained Unit Commitment and Economic Dispatch |
Julia/JuMP |
Python |
Pandapipes |
|
Python |
|
Pandapower |
Transmission Network Model |
Python |
Pandas |
PowNet |
Network-constrained Unit Commitment and Economic Dispatch |
Python (Pyomo) |
Python |
Model |
License |
Modelling software |
Model source public |
Data availability |
Open future |
AMIRIS |
Apache License 2.0 (Apache-2.0) |
Java |
true |
all |
false |
ASAM |
GNU General Public License version 3.0 (GPL-3.0) |
Python (Pyomo) |
true |
some |
false |
ASSUME |
Affero General Public License v3 (AGPL-3.0) |
Python, Pyomo |
true |
all |
false |
Antares-Simulator |
GNU General Public License version 3.0 (GPL-3.0) |
C++, C |
true |
some |
false |
AnyMOD |
MIT license (MIT) |
Julia/JuMP |
true |
some |
true |
Backbone |
GNU Library or "Lesser" General Public License version 3.0 (LGPL-3.0) |
GAMS |
true |
some |
false |
Balmorel |
ISC License (ISC) |
GAMS |
true |
all |
true |
Breakthrough Energy Model |
MIT license (MIT) |
Julia/JuMP |
true |
all |
false |
CAPOW |
MIT license (MIT) |
Python (Pyomo) |
true |
all |
false |
CESAR-P |
Affero General Public License v3 (AGPL-3.0) |
Python, EnergyPlus |
false |
some |
false |
Calliope |
Apache License 2.0 (Apache-2.0) |
Python (Pyomo) |
true |
some |
true |
CapacityExpansion |
MIT license (MIT) |
Julia/JuMP |
true |
all |
false |
DESSTinEE |
Creative Commons Attribution Share-Alike 3.0 (CC-BY-SA-3.0) |
Excel / VBA |
true |
all |
true |
DIETER |
MIT license (MIT) |
GAMS; CPLEX |
true |
all |
false |
Demod |
GNU General Public License version 3.0 (GPL-3.0) |
Python |
true |
some |
false |
Dispa-SET |
European Union Public Licence Version 1.1 (EUPL-1.1) |
Python (Pyomo), GAMS |
true |
all |
false |
ELMOD |
MIT license (MIT) |
GAMS |
true |
some |
true |
EMLab-Generation |
Apache License 2.0 (Apache-2.0) |
Java |
true |
some |
true |
EMMA |
Creative Commons Attribution 3.0 (CC-BY-3.0) |
GAMS |
true |
all |
true |
EOLES elec |
Creative Commons Attribution Share-Alike 4.0 (CC-BY-SA-4.0) |
GAMS |
true |
all |
false |
EOLES elecRES |
Creative Commons Attribution Share-Alike 4.0 (CC-BY-SA-4.0) |
GAMS |
true |
all |
false |
ESO-X |
MIT license (MIT) |
GAMS; CPLEX |
true |
all |
false |
Energy Policy Simulator |
GNU General Public License version 3.0 (GPL-3.0) |
Vensim |
true |
all |
false |
Energy Transition Model |
MIT license (MIT) |
Developed in-house written in Ruby (on Rails) |
true |
all |
true |
EnergyRt |
Affero General Public License v3 (AGPL-3.0) |
GAMS; GLPK |
true |
|
true |
EnergyScope |
Apache License 2.0 (Apache-2.0) |
GLPK/GLPSOL or AMPL/Cplex |
true |
all |
false |
Ficus |
GNU General Public License version 3.0 (GPL-3.0) |
Python (Pyomo) |
true |
some |
true |
FlexiGIS |
BSD 3-Clause "New" or "Revised" License (BSD-3-Clause) |
Python |
true |
some |
false |
GRIMSEL-FLEX |
BSD 2-Clause "Simplified" or "FreeBSD" License (BSD-2-Clause) |
Python (Pyomo) |
true |
all |
false |
Genesys |
GNU Library or "Lesser" General Public License version 2.1 (LGPL-2.1) |
C++, boost library, MySQL and QT4, (optional CPLEX solver implementation) |
false |
all |
false |
GridCal |
GNU General Public License version 3.0 (GPL-3.0) |
Python |
true |
all |
true |
HighRES |
MIT license (MIT) |
GAMS; CPLEX |
false |
all |
false |
IRENA FlexTool |
GNU Library or "Lesser" General Public License version 3.0 (LGPL-3.0) |
GNU MathProg |
true |
some |
false |
Lemlab |
GNU General Public License version 3.0 (GPL-3.0) |
Python, Pyomo |
true |
all |
false |
LoadProfileGenerator |
MIT license (MIT) |
C# |
true |
some |
false |
MEDEAS |
MIT license (MIT) |
Phyton |
false |
all |
false |
Medea |
MIT license (MIT) |
GAMS |
true |
all |
false |
MicroGridsPy |
European Union Public Licence Version 1.1 (EUPL-1.1) |
Python (Pyomo) |
true |
all |
false |
Mosaik |
GNU Library or "Lesser" General Public License version 2.1 (LGPL-2.1) |
Python |
true |
some |
false |
NEMO |
GNU General Public License version 3.0 (GPL-3.0) |
Python |
true |
all |
true |
NEMO (SEI) |
Apache License 2.0 (Apache-2.0) |
Julia |
true |
|
false |
OMEGAlpes |
Apache License 2.0 (Apache-2.0) |
OMEGAlpes, PuLP |
true |
some |
false |
OSeMOSYS |
Apache License 2.0 (Apache-2.0) |
GNU MathProg |
true |
all |
true |
Oemof |
GNU General Public License version 3.0 (GPL-3.0) |
Python, Pyomo, Coin-OR |
true |
some |
true |
OnSSET |
MIT license (MIT) |
Python |
true |
|
false |
OpenTUMFlex |
GNU General Public License version 3.0 (GPL-3.0) |
Python (Pyomo) |
true |
some |
false |
POMATO |
GNU Library or "Lesser" General Public License version 3.0 (LGPL-3.0) |
Julia/JuMP |
true |
some |
false |
Pandapipes |
MIT license (MIT) |
Python |
false |
|
true |
Pandapower |
BSD 3-Clause "New" or "Revised" License (BSD-3-Clause) |
Python |
true |
some |
false |
PowNet |
MIT license (MIT) |
Python (Pyomo) |
true |
all |
false |