Macro-economy - COFFEE-TEA: Difference between revisions

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When run as a stand-alone application, the macroeconomic consistency of the COFFEE model is guaranteed by the implementation of the SSP2 scenario information, as an input that drives the demand growth over time. The SSP database is used as the main data driver for demand growth and changes over the time horizon analyzed. Since the SSP2 interpretation is closely related to historical trends, they were used to determine the population and GDP growth throughout most scenarios.


The macroeconomic consistency of the COFFEE model is guaranteed by the implementation of the macroeconomic scenarios as input in the TEA model. The SSP database is used as the main data driver for demand growth and changes over the time horizon analyzed. Since the SSP2 interpretation is closely related to historical trends, they were used to determine the population and GDP growth throughout most scenarios.
When run as a linked application, the macroeconomic consistency of the COFFEE model is guaranteed by the information from the TEA model, which provides demand projections for the COFFEE model. The main economic drivers for the TEA model (population and GDP growth) are from the SSP database.

Revision as of 16:43, 25 February 2019

Alert-warning.png Note: The documentation of COFFEE-TEA is 'under review' and is not yet 'published'!

Model Documentation - COFFEE-TEA

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

    When run as a stand-alone application, the macroeconomic consistency of the COFFEE model is guaranteed by the implementation of the SSP2 scenario information, as an input that drives the demand growth over time. The SSP database is used as the main data driver for demand growth and changes over the time horizon analyzed. Since the SSP2 interpretation is closely related to historical trends, they were used to determine the population and GDP growth throughout most scenarios.

    When run as a linked application, the macroeconomic consistency of the COFFEE model is guaranteed by the information from the TEA model, which provides demand projections for the COFFEE model. The main economic drivers for the TEA model (population and GDP growth) are from the SSP database.