Model scope and methods - IMACLIM

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Model Documentation - IMACLIM

Corresponding documentation
Previous versions
Model information
Model link
Institution Centre international de recherche sur l'environnement et le développement (CIRED), France,, Societe de Mathematiques Appliquees et de Sciences Humaines (SMASH), France,
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