Overview of models

Latest revision as of 12:01, 17 March 2016

To-do list general:

Standardization of answers (and maximum length for fields?)
Possible gap-filling and cleaning up of answer (preferably done by authors)
Adding/removing variables and possibly new tables (here the raw XML can be found which shows which data is available)
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

	Author institution	Decisions	Sectors
AMIRIS	German Aerospace Center	dispatch	electricity
ASAM	Europa-Universität Flensburg	dispatch	Electricity Electricity Market Electric power
ASSUME	INATECH Freiburg	dispatch	All / Electricity
Antares-Simulator	RTE	dispatch investment	Electricity Methane Hydrogen Heat
AnyMOD	TU Berlin	dispatch investment	User-dependent
Backbone	VTT Technical Research Centre of Finland	dispatch investment	All
Balmorel	RAM-løse, DTU	dispatch investment	User-dependent
Breakthrough Energy Model	Breakthrough Energy Foundation	dispatch	Electricity
CAPOW	North Carolina State University	dispatch	Electric power
CESAR-P	Urban Energy Systems Lab, Empa (Swiss Federal Laboratories for Materials Science and Technology)		electricity heating cooling domestic hot water
Calliope	ETH Zürich	dispatch investment	User-dependent
CapacityExpansion	Stanford University, RWTH Aachen	dispatch investment	electricity heat gas
DESSTinEE	Imperial College London	dispatch	All / Electricity
DIETER	DIW Berlin	dispatch investment	electricity plus sector coupling (EVs P2Heat)
Demod	EPFL		end-use demand
Dispa-SET	European Commission, Joint Research Centre	dispatch	Power system
DynPP	University of Rostock	investment	Coal Gas Heat Electricity
EA-PSM Electric Arc Flash	JSC Energy Advice
EA-PSM Electric Short Circuit	JSC Energy Advice
ELMOD	Technische Universität Berlin	dispatch	Electricity Heat
ELTRAMOD	Technische Universität Dresden (ee2)	dispatch investment	Electricity including sector coupling (EVs PtX)
EMLab-Generation	Delft University of Technology	dispatch investment	Electricity Market Carbon Market
EMMA	Neon Neue Energieökonomik GmbH	dispatch investment	Electricity
EOLES elec	CIRED	dispatch investment	Electricity Sector Carbon Market
EOLES elecRES	CIRED	dispatch investment	Electricity Sector
ESO-X	Imperial College London	dispatch investment	Electricity
Energy Policy Simulator	Energy Innovation, LLC	dispatch investment	Electricity buildings transportation industry district heat land agriculture hydrogen etc...
Energy Transition Model	Quintel Intelligence	dispatch	Households Buildings Agriculture Transport Industry Energy
EnergyNumbers-Balancing	UCL Energy Institute	dispatch	Electricity
EnergyRt
EnergyScope	EPFL, UCLouvain	dispatch investment	All (Electricity Heating and mobility)
Ficus	Institute for Energy Economy and Application Technology	dispatch investment	electricity heating ...
FlexiGIS	DLR Institute of Networked Energy Systems		Electricity Sector
GAMAMOD	Technische Universität Dresden (EE2)	dispatch investment	gas
GAMAMOD-DE	Technische Universität Dresden (EE2)	dispatch
GRIMSEL-FLEX	University of Geneva	dispatch	Electricity Heat Hydrogen Buildings Transport
Genesys	RWTH-Aachen University	dispatch investment	Electricity
GridCal			Electricity
HighRES	UCL, UiO	dispatch investment	Electricity
IRENA FlexTool	VTT Technical Research Centre of Finland	dispatch investment	All sectors (user can add more)
JMM	Risoe National Laboratory; University of Stuttgart; University of Duisburg-Essen
Lemlab	Technical University of Munich		local energy markets
LoadProfileGenerator	FZ Jülich
MEDEAS	GEEDS group; University of Valladolid (http://www.eis.uva.es/energiasostenible/?lang=en)		electricity heat liquid fuels gas solid fuels
MOCES	Chair of Automation and Energy Systems (Saarland University)	dispatch	Electricity User-dependent
Maon	Maon GmbH	dispatch investment	heat Electricity gas and emissions plus couplings (industry transport)
Medea	University of Natural Resources and Life Sciences, Vienna	dispatch investment	Electricity Heat
MicroGridsPy	Politecnico di Milano	dispatch investment	Micro-grids design
Mosaik	OFFIS		electricity heat mobility household
MultiMod	DIW Berlin, NTNU Trondheim	dispatch investment	Oil Gas Coal Electricity Renewables Industry Transport Residential/Commercial
… further results

[edit] Overview of models by purpose, scope and modelling type

Model	Sectors	Model class	Math modeltype	Timeresolution	Georesolution	Is suited for many scenarios
AMIRIS	electricity	Agent-based electricity market model	Simulation Agent-based	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	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	15 Minute	NUTS0 - NUTS3, for DE	false
Antares-Simulator	Electricity Methane Hydrogen Heat	Capacity Expansion Problem Production Cost Model	Optimization Simulation	Hour	NUTS0 - NUTS2	true
AnyMOD	User-dependent	Framework	Optimization	Hour	User-dependent	true
Backbone	All	Framework	Optimization	15 Minute	Depends on user	true
Balmorel	User-dependent	Energy System Model	Optimization	Hour	Hierarchical: countries, regions, areas	true
Breakthrough Energy Model	Electricity	Framework	Optimization Simulation	Hour	Nodal	false
CAPOW	Electric power	CAISO and Mid-Columbia markets/U.S. West Coast	Simulation	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	Hour	User-dependent	true
CapacityExpansion	electricity heat gas	Capacity Expansion Problem	Optimization		input data dependent	true
DESSTinEE	All / Electricity	Simulation	Simulation	Hour	National	true
DIETER	electricity plus sector coupling (EVs P2Heat)	Optimization	Optimization	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	Hour	NUTS1	true
ELMOD	Electricity Heat	German and European Electricity Market	Optimization	Hour	power plant block, transmission network node	false
EMLab-Generation	Electricity Market Carbon Market	Agent-based Simulation	Simulation Agent-based	Year	Zones	true
EMMA	Electricity	Power market model	Optimization	Hour	Countries	false
EOLES elec	Electricity Sector Carbon Market	Electricity System Model	Optimization Simulation	Hour	Country level	false
EOLES elecRES	Electricity Sector	Electricity System Model	Optimization Simulation	Hour	Coutry	false
ESO-X	Electricity	power system model	Optimization	Hour	single-node (ESONE: 29 nodes)	true
Energy Policy Simulator	Electricity buildings transportation industry district heat land agriculture hydrogen etc...	System Dynamics	Simulation	Year	single region	true
Energy Transition Model	Households Buildings Agriculture Transport Industry Energy	Demand driven energy model	Simulation	Year	Country	true
EnergyRt		Reference Energy System	Optimization			true
EnergyScope	All (Electricity Heating and mobility)	Regional energy system design	Optimization	Hour	Country	true
Ficus	electricity heating ...	energy system optimization model	Optimization	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	Hour	Consumer types and Urban settings	false
Genesys	Electricity	Electricity System Model	Optimization Simulation	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	Hour	Country level, 20 zones for GB	true
IRENA FlexTool	All sectors (user can add more)	Multi-purpose	Optimization	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	Hour	Countries	true
MicroGridsPy	Micro-grids design	Energy Modeling Framework	Optimization	Hour	Village-scale	true
Mosaik	electricity heat mobility household	distributed energy systems smart grid simulation	Optimization Simulation Agent-based	Second		true
NEMO			Optimization Simulation	Hour	NEM regions	true
NEMO (SEI)	All	Full energy system optimization flexible geographic and sectoral scope	Optimization	Hour	Flexible - user-defined regionalization	true
OMEGAlpes	Electricity Heat all	Production consumption conversion storage	Optimization			false
OSeMOSYS	all		Optimization	Day	Country	true
Oemof	Electricity Heat Mobility	Energy Modelling Framework	Optimization Simulation	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	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	Hour	High-voltage substation	false
… further results

Todo

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 (Clear delineation between model class, Mathematical model type and implementing software)
Possibly add modularisation as an option?

[edit] Overview of models by type, software, implementation and processing

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
… further results

Todo, missing fields

Is the modelling software stack open-source (e.g. GNU MathProg, OpenJDK), or at least freely available (Java). Different fields for modelling and processing software?

[edit] Overview of models by open-source license, data availability etc.

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
… further results

@@ Line 1: / Line 1: @@
-Overview of models.<br/>
+To-do list general:
+*Standardization of answers (and maximum length for fields?)
+*Possible gap-filling and cleaning up of answer (preferably done by authors)
+*Adding/removing variables and possibly new tables ([[Special:ViewXML|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&nbsp;
 <br/>
-{{#sparql:<br/><br/>select ?Full_Model_Name }<br/>
+=== Overview of models by institutions, decisions and sectors ===
+{{#ask: [[Category:Model]] | ?author_institution | ?decisions | ?sectors | format=table }}
+=== 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| format = broadtable | mainlabel = Model }}
+Todo
+*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 (Clear delineation between model class, Mathematical model type and implementing software)
+*Possibly add modularisation as an option?&nbsp;
+=== Overview of models by type, software, implementation and processing ===
+{{#ask: [[Category:Model]] [[open_source_licensed :: true]] | ? model_class | ? modelling_software |? processing_software | format = broadtable | mainlabel = Model }}
+Todo, missing fields
+*Is the modelling software stack open-source (e.g. GNU MathProg, OpenJDK), or at least freely available (Java). Different fields for modelling and processing software?
+<br/>
+=== 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 }}

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Overview of models

Latest revision as of 12:01, 17 March 2016

Contents

[edit] Overview of models by institutions, decisions and sectors

[edit] Overview of models by purpose, scope and modelling type

[edit] Overview of models by type, software, implementation and processing

[edit] Overview of models by open-source license, data availability etc.

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Overview of models

Latest revision as of 12:01, 17 March 2016

Contents

[edit] Overview of models by institutions, decisions and sectors

[edit] Overview of models by purpose, scope and modelling type

[edit] Overview of models by type, software, implementation and processing

[edit] Overview of models by open-source license, data availability etc.