Model Documentation - COFFEE-TEA: Difference between revisions
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Note: The documentation of COFFEE-TEA is 'under review' and is not yet 'published'!
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This wiki page provides detailled information on the COFFEE-TEA models. The COFFEE-TEA is an integrated assessment model framework that consists of two models -- the energy and land-use model COFFEE, and the Computable General Economic (CGE) model TEA. The models were developed at COPPE/UFRJ, Brazil, for assessing climate, land, energy and environmental policies, providing relevant information to experts and decision-makers about the possible development strategies and repercussions of long term climate scenarios. The models can run on a stand-alone basis or linked through a soft-link process, providing long-term (up to 2100) assessments of the interaction between the energy and land-use systems and the economy. | |||
Latest revision as of 14:37, 19 September 2019
Note: The documentation of COFFEE-TEA is 'under review' and is not yet 'published'!| Corresponding documentation | |
|---|---|
| Previous versions | |
| Model information | |
| Model link | |
| Institution | COPPE/UFRJ (Cenergia), Brazil, http://www.cenergialab.coppe.ufrj.br/. |
| Solution concept | General equilibrium (closed economy) |
| Solution method | 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. |
| Anticipation | |
This wiki page provides detailled information on the COFFEE-TEA models. The COFFEE-TEA is an integrated assessment model framework that consists of two models -- the energy and land-use model COFFEE, and the Computable General Economic (CGE) model TEA. The models were developed at COPPE/UFRJ, Brazil, for assessing climate, land, energy and environmental policies, providing relevant information to experts and decision-makers about the possible development strategies and repercussions of long term climate scenarios. The models can run on a stand-alone basis or linked through a soft-link process, providing long-term (up to 2100) assessments of the interaction between the energy and land-use systems and the economy.