Difference between revisions of "Model scope and methods - IMACLIM"

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|+<caption>Articles describing IMACLIM and MCP's in which it has been involved</caption>
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|+<caption>Articles describing IMACLIM and MIP's in which it has been involved</caption>
 
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|width="33%"|Description of Imaclim-R structure and results
 
|width="33%"|Description of Imaclim-R structure and results

Latest revision as of 17:12, 21 October 2016

Model Documentation - IMACLIM

Corresponding documentation
Previous versions
Model information
Model link
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 1; Waisman et al., 20122), 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.

Table 1 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 Table 1 are further divided by technology, behaviour etc. focus.

Table 1: 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)1 (bioenergy) Kim et al. (2014)2 (nuclear)

Koelbl et al. (2014)3 (CCS)

Krey et al. (2014)4

Kriegler et al. (2014)5

Luderer et al. (2014)6 (renewables)

Rose et al. (2014)7 (bioenergy)

Tavoni et al. (2012)8

Energy efficiency Bibas et al. (2015)9 Sugiyama et al. (2014)10
Fossil fuels Rozenberg et al. (2010)11

Waisman et al. (2012)12

Waisman et al. (2013a)13

Bauer et al. (2015)14

MCCollum et al. (2014)15

Transport Waisman et al. (2013b)16
Macroeconomy Crassous et al. (2006)17 (endogenous structural change)

Guivarch et al. (2011)18 (labor markets)

Evaluation of model Guivarch et al. (2009)19 (backcasting) Kriegler et al. (2015b)20 (diagnostics)
Scenarios Guivarch and Mathy (2012)21

Hamdi-Cherif et al. (2011)22

Mathy and Guivarch (2010)23

Rozenberg et al. (2014)24

Waisman et al. (2014)25

Blanford et al. (2014)26

Kriegler et al. (2015)27

Luderer et al. (2012a)28

Luderer et al. (2012b)29

Riahi et al. (2015)30

References

  1. ^  |  Olivier Sassi, Renaud Crassous, Jean Charles Hourcade, Vincent Gitz, Henri Waisman, Celine Guivarch (2010). IMACLIM-R: a modelling framework to simulate sustainable development pathways. International Journal of Global Environmental Issues, 10 (1/2), 5. http://dx.doi.org/10.1504/ijgenvi.2010.030566
  2. ^  |  Henri Waisman, Céline Guivarch, Fabio Grazi, Jean Charles Hourcade (2012). The Imaclim-R model: infrastructures, technical inertia and the costs of low carbon futures under imperfect foresight. Climatic Change, 114 (1), 101-120. http://dx.doi.org/10.1007/s10584-011-0387-z