Model scope and methods - IMACLIM

Model Documentation - IMACLIM
Model scope and methods - IMACLIM Model concept, solver and details - IMACLIM Temporal dimension - IMACLIM Spatial dimension - IMACLIM Policy - IMACLIM Socio-economic drivers - IMACLIM Population - IMACLIM Economic activity - IMACLIM Macro-economy - IMACLIM Production system and representation of economic sectors - IMACLIM Capital and labour markets - IMACLIM Monetary instruments - IMACLIM Trade - IMACLIM Technological change - IMACLIM Energy - IMACLIM Energy resource endowments - IMACLIM Fossil energy resources - IMACLIM Energy conversion - IMACLIM Electricity - IMACLIM Liquid fuels - IMACLIM Energy end-use - IMACLIM Transport - IMACLIM Residential and commercial sectors - IMACLIM Industrial sector - IMACLIM Other end-use - IMACLIM Energy demand - IMACLIM Technological change in energy - IMACLIM Land-use - IMACLIM Emissions - IMACLIM GHGs - IMACLIM Pollutants and non-GHG forcing agents - IMACLIM Climate - IMACLIM Modelling of climate indicators - IMACLIM Appendices - IMACLIM Mathematical model description - IMACLIM References - IMACLIM
Corresponding documentation
AIM-Hub C3IAM COFFEE-TEA DNE21+ GCAM GEM-E3 GRACE IFs IMACLIM IMAGE MESSAGE-GLOBIOM POLES PROMETHEUS REMIND-MAgPIE TIAM-UCL WITCH
Previous versions
Archive of IMACLIM version R1.0
Model information
Model link	http://dina.centre-cired.fr/IMACLIM/Description-des-modeles-IMACLIM/?lang=en https://github.com/GaelleLeTreut/IMACLIM-Country/tree/V1.1 https://hal.archives-ouvertes.fr/hal-02949396/document
Institution	Centre international de recherche sur l'environnement et le développement (CIRED), France, http://www.centre-cired.fr., Societe de Mathematiques Appliquees et de Sciences Humaines (SMASH), France, http://www.smash.fr.
Solution concept	General equilibrium (closed economy)
Solution method	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.
Anticipation	Recursive dynamics: each year the equilibrium is solved (system of non-linear equations), in between two years parameters to the equilibrium evolve according to specified functions.

The Imaclim-R model (Sassi et al., 2010 sassi2010im; Waisman et al., 2012waisman2012th), is a multi-region and multi-sector model of the world economy. It combines a Computable General Equilibrium (CGE) framework with bottom-up sectoral modules in a hybrid and recursive dynamic architecture. Furthermore, it describes growth patterns in second best worlds with market imperfections, partial uses of production factors and imperfect expectations.

<xr id="tab:example"/> shows a list of references involving IMACLIM-R categorized as follows:

1. References describing the structure and results obtained with the Imaclim-R Global model
2. References to models comparison exercises in which Imaclim-R Global model has participated

The references in <xr id="tab:example"/> are further divided by technology, behaviour etc. focus.

<figtable id="tab:example">

Articles describing IMACLIM and MIP's in which it has been involved

	Description of Imaclim-R structure and results	Models comparison (including Imaclim-R)
Technologies	Bibas and Méjean (2014)bibas2014potential (bioenergy)	Kim et al. (2014)kim2014nuclear (nuclear) Koelbl et al. (2014)koelbl2014uncertainty (CCS) Krey et al. (2014)krey2014getting Kriegler et al. (2014)kriegler2014role Luderer et al. (2014)luderer2014role (renewables) Rose et al. (2014)rose2014bioenergy (bioenergy) Tavoni et al. (2012)tavoni2012value
Energy efficiency	Bibas et al. (2015)bibas2015energy	Sugiyama et al. (2014)sugiyama2014energy
Fossil fuels	Rozenberg et al. (2010)rozenberg2010climate Waisman et al. (2012)waisman2012peak Waisman et al. (2013a)waisman2013monetary	Bauer et al. (2015)bauer2015co MCCollum et al. (2014)mccollum2014fossil
Transport	Waisman et al. (2013b)waisman2013transportation
Macroeconomy	Crassous et al. (2006)crassous2006endogenous (endogenous structural change) Guivarch et al. (2011)guivarch2011costs (labor markets)
Evaluation of model	Guivarch et al. (2009)guivarch2009resilience (backcasting)	Kriegler et al. (2015b)kriegler2015diagnostic (diagnostics)
Scenarios	Guivarch and Mathy (2012)guivarch2012energy Hamdi-Cherif et al. (2011)hamdi2011sectoral Mathy and Guivarch (2010)mathy2010climate Rozenberg et al. (2014)rozenberg2014building Waisman et al. (2014)waisman2014sustainability	Blanford et al. (2014)blanford2014harmonization Kriegler et al. (2015)kriegler2015making Luderer et al. (2012a)luderer2012regional Luderer et al. (2012b)luderer2012economics Riahi et al. (2015)riahi2015locked

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