Model scope and methods - COFFEE-TEA
Note: The documentation of COFFEE-TEA is 'under review' and is not yet 'published'!| Corresponding documentation | |
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| 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 | |
COFFEE (COmputable Framework For Energy and the Environment) is a multi-regional and multi-sectorial partium equilibrium (PE) model1. The model includes a rich technological representation of the energy and land-use systems in a completely integrated framework, providing the assessment of potential synergies/trade-offs in energy, environmental and climate policies. COFFEE can assess the evolution of fossil-fuel GHG emissions from combustion, from all sectors of the economy, including industrial processes, waste treatment and land-use related, including fugitive emissions.
The COFFEE model is based on the MESSAGE (Model for Energy Supply Strategy Alternatives and their General Environmental Impacts), an optimization software in linear programming applied for most physical balances (mass, energy, exergy and land)23. MESSAGE suits the development of bottom-up models and partial equilibrium models, with perfect foresight, sovled through Linear Programming (LP).
TEA (Total Economy Assessment) is a multi-regional and multi-sectorial CGE model that tracks the production and distribution of goods in a dynamic recursive setup for the global economy. The model is based on the MIT EPPA model45 and on GTAPinGAMS6.
The TEA model is formulated as mixed complementary problem (MCP) and is solved through Mathematical Programming System for General Equilibrium -- MPSGE7 within GAMS using the PATH solver8. It assumes total market clearance (through commodity price equilibrium), zero profit condition for producers (with constant-returns-to-scale) and perfect competition to reach general equilibrium.
The models have been 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 model car run scenarios as a stand-alone application or linked through an iterative process, currently under development.