Model comparison based on scope and methods

This page makes it possible to create a comparison between (a selection of) models and reference card features. The features are ordered by reference card group. You can create a model selection first. This selection will be passed to the 'group features' queries. When you activate a 'group features' button, a new tab will be opened containing the 'run query form' with all features of the reference card group.

Model exploration

After clicking the [+] toggle below a table appears displaying the IAMC models with their scope and methods. You can filter the models based on one or more of the characteristics. This way you can explore the IAMC model set and use this information to inspect IAMC models further by selecting a set of models and comparing their features.

Expand [+}/collapse [-} the scope and method table with filter options to explore the differences.

Note: The 'other' option represents values deviating from the standard options for a feature.

Table

Model	Concept	Method	Model Type	Geographical scope	Solution horizon	State
AIM-Enduse India	Partial equilibrium (fixed demand)	Optimization	Energy system model		Recursive dynamic (myopic)	in preparation
AIM-Enduse Japan	Partial equilibrium (fixed demand)	Optimization	Energy system model	Regional	Recursive dynamic (myopic)	published
AIM-Hub	General equilibrium (closed economy)	Simulation	CGE	Global	Recursive dynamic (myopic)	published
AIM-Hub Indonesia	General equilibrium (closed economy)	Simulation	CGE	Regional	Recursive dynamic (myopic)	in preparation
AIM-Hub Korea	General equilibrium (closed economy)	Simulation	CGE	Regional	Recursive dynamic (myopic)
AIM-Hub Thailand	General equilibrium (closed economy)	Optimization	CGE	Regional		published
AIM-Hub Viet Nam	General equilibrium (closed economy)	Simulation	CGE	Regional		published
BET	General equilibrium (closed economy)	Optimization	Integrated assessment model	Global	Intertemporal optimization (foresight)	published
BLUES	General equilibrium (closed economy)	Optimization	Integrated assessment model	Regional	Intertemporal optimization (foresight)	published
C3IAM	General equilibrium (closed economy)	Optimization	Integrated assessment model	Global	Intertemporal optimization (foresight)	published
COFFEE-TEA	General equilibrium (closed economy)	The COFFEE model is solved through Linear Programming (LP). The TEA model is formulated as a mixed complementary problem (MCP) and is solved through Mathematical Programming System for General Equilibrium -- MPSGE within GAMS using the PATH solver.	Integrated assessment model	Global	Intertemporal optimization (foresight)	under review
China TIMES	Partial equilibrium (price elastic demand)	Optimization	Energy system model	Regional	Intertemporal optimization (foresight)	published
DART	General equilibrium (closed economy)	Optimization	CGE	Global	Recursive dynamic (myopic)	published
DNE21+						published
E3ME-FTT	Econometric	Simulation	Integrated assessment model	Global		submitted
ENV-Linkages	General equilibrium (closed economy)	Optimization	CGE	Global	Recursive dynamic (myopic)	in preparation
ENVISAGE						in preparation
EPPA	General equilibrium (closed economy)	Optimization	Integrated assessment model	Global	Recursive dynamic (myopic)	in preparation
Euro-Calliope	Partial equilibrium (fixed demand)	Optimization	Energy system model	Regional	Static	published
GCAM	General equilibrium (closed economy)GCAM solves all energy, water, and land markets simultaneously	Recursive dynamic solution method	Integrated assessment model	Global	Recursive dynamic (myopic)	under review
GCAM-KAIST	General equilibrium (closed economy)		Integrated assessment model	Global	Recursive dynamic (myopic)	in preparation
GCAM-KSA	Partial equilibrium (price elastic demand)GCAM solves all energy, water, and land markets simultaneously	Recursive dynamic solution method	Integrated assessment model	Global	Recursive dynamic (myopic)	published
GEM-E3	General equilibrium (closed economy)	Optimization	CGE	Global	Recursive dynamic (myopic)	published
GENeSYS-MOD	Partial equilibrium (fixed demand)	OptimizationLinear optimisation	Energy system model	Global	Intertemporal optimization (foresight)recursive-dynamic (myopic)	published
GMM	Partial equilibrium (fixed demand)	Optimization	Energy system model	Global	Intertemporal optimization (foresight)	in preparation
GRACE	General equilibrium (closed economy)	SimulationRecursive dynamic solution method	CGE	Global	Recursive dynamic (myopic)	under review
ICES	General equilibrium (closed economy)General Equilibirum (open economy)	Optimization	CGE	Global	Recursive dynamic (myopic)	in preparation
IFs		Dynamic recursive with annual time steps through 2100.				under review
IMACLIM	General equilibrium (closed economy)	SimulationImaclim-R is implemented in Scilab, and uses the fonction fsolve from a shared C++ library to solve the static equilibrium system of non-linear equations.	CGE	Global	Recursive dynamic (myopic)	published
IMACLIM-India	General equilibrium (closed economy)	Optimization	CGE	Regional	Intertemporal optimization (foresight)	in preparation
IMACLIM-NLU	General equilibrium (closed economy)	SimulationImaclim-NLU is implemented in Scilab, and uses the fonction fsolve from a shared C++ library to solve the static equilibrium system of non-linear equations.	CGE	Global	Recursive dynamic (myopic)	published
IMAGE	Partial equilibrium (price elastic demand)	Simulation	Integrated assessment model	Global	Recursive dynamic (myopic)	published
IPAC-AIM technology	Partial equilibrium (fixed demand)	Optimization	Energy system model	Regional	Recursive dynamic (myopic)	in preparation
IPAC-Global	Partial equilibrium (price elastic demand)	Optimization	Integrated assessment model	Global	Intertemporal optimization (foresight)	in preparation
IPETS		The economic problem is formulated as a three-level nested problem. The solution of these three sub-problems yield the dynamic capital path (investment/consumption trade-off in each simulation year), and factor and output prices which clear all factor and goods markets.				published
MARKAL-India	Partial equilibrium (fixed demand)	Optimization	Energy system model	Regional	Intertemporal optimization (foresight)	in preparation
MEDEAS	Systems dynamics based approach	Simulation	Integrated assessment model	Global		in preparation
MERGE-ETL	General equilibrium (closed economy)	Optimization	Integrated assessment model	Global	Intertemporal optimization (foresight)	in preparation
MESSAGE Korea	Partial equilibrium (fixed demand)	Optimization	Energy system model	Regional	Intertemporal optimization (foresight)	published
MESSAGE-GLOBIOM	General equilibrium (closed economy)	Optimization	CGE	Global		published
MIGRATION	Partial equilibrium (fixed demand)	Simulation		Global	Intertemporal optimization (foresight)	published
MUSE	Partial equilibrium (price elastic demand)	Simulation	Energy system model	Global		in preparation
McKinsey						in preparation
POLES	Partial equilibrium (price elastic demand)	SimulationRecursive simulation	Integrated assessment model	Global	Recursive dynamic (myopic)	published
PRIMES	Partial equilibrium (price elastic demand)The PRIMES model comprises several sub-models (modules), each one representing the behaviour of a specific (or representative) agent, a demander and/or a supplier of energy. The sub-models link with each other through a model integration algorithm, which determines equilibrium prices in multiple markets and equilibrium volumes meets balancing and overall (e.g. emission) constraints.	Mathematically PRIMES solves an EPEC problem (equilibrium problem with equilibrium constraints) which allows prices to be explicitly determined.	Energy system model	Regional	Intertemporal optimization (foresight)	in preparation
PROMETHEUS	Partial equilibrium (price elastic demand)	Simulation	Energy system model	Global	Recursive dynamic (myopic)	under review
REMIND-MAgPIE	General equilibrium (closed economy)MAgPIE: partial equilibrium model of the agricultural sector;	OptimizationMAgPIE: cost minimization;	CGE	Global	REMIND-MAgPIE: Inter-temporal (foresight); MAgPIE: recursive-dynamic;	published
REMod	Partial equilibrium (fixed demand)	OptimizationSimulation-based optimization	Energy system model	Regional	Intertemporal optimization (foresight)	published
RICE50+	General equilibrium (closed economy)	Optimization	CBA-integrated assessment model	Global	Intertemporal optimization (foresight)	published
SNOW GL HH	General equilibrium (closed economy)	Simulation	CGE	Global	Static	published

Model selection

You can create a model selection based on specific values for model scope and methods.

Select models

Current selection is based on filters:

• Method: no filter
• Concept: no filter
• Horizon: no filter
• Model type: no filter
• Geographical scope:no filter

Resulting in model selection : AIM-Enduse India;AIM-Enduse Japan;AIM-Hub;AIM-Hub Indonesia;AIM-Hub Korea;AIM-Hub Thailand;AIM-Hub Viet Nam;BET;BLUES;C3IAM;COFFEE-TEA;China TIMES;DART;DNE21+;E3ME-FTT;ENV-Linkages;ENVISAGE;EPPA;Euro-Calliope;GCAM;GCAM-KAIST;GCAM-KSA;GEM-E3;GENeSYS-MOD;GMM;GRACE;ICES;IFs;IMACLIM;IMACLIM-India;IMACLIM-NLU;IMAGE;IPAC-AIM technology;IPAC-Global;IPETS;MARKAL-India;MEDEAS;MERGE-ETL;MESSAGE Korea;MESSAGE-GLOBIOM;MIGRATION;MUSE;McKinsey;POLES;PRIMES;PROMETHEUS;REMIND-MAgPIE;REMod;RICE50+;SNOW GL HH... further results

Feature selection

The buttons below will open a query page in a new tab. It contains a form to select features and run the comparison query.

About model	Model scope and methods	Socio-economic drivers	Macro-economy	Energy	Land-use	Emission, climate and impacts
About model features	Scope and method features	Socio-economic drivers	Macro-economy features	Energy features	Land-use features	Emission, climate and impacts features