Model concept, solver and details - COFFEE-TEA

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Alert-warning.png Note: The documentation of COFFEE-TEA is 'under review' and is not yet 'published'!
Model Documentation - COFFEE-TEA, To pdf - COFFEE-TEA
    Corresponding documentation
    Model information
    Institution UFRJ (COPPE UFRJ), Brazil, http://www.ppe.ufrj.br/index.php/en.
    Solution concept
    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

    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)12. MESSAGE suits the development of bottom-up models and partial equilibrium models, with perfect foresight, sovled through Linear Programming (LP).

    The TEA model is formulated as mixed complementary problem (MCP) and is solved through Mathematical Programming System for General Equilibrium -- MPSGE3 within GAMS using the PATH solver4. 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.

    References

    1. ^  Pedro Rua Rodriguez Rochedo(2016). Development of a global integrated energy model to evaluate the Brazilian role in climate change mitigation scenarios. Retrieved from http://www.ppe.ufrj.br/images/publica%C3%A7%C3%B5es/doutorado/Pedro_Rua_Rodriguez_Rochedo.pdf
    2. ^  International Atomic Energy Agency (2016). Modelling Nuclear Energy Systems with MESSAGE: A User's Guide. IAEA Nuclear Energy Series, STI/PUB/1718 (NG-T-5.2), 1--126.
    3. ^ gritsevski2000 
    4. ^  Z Yang, R S Eckaus, A D Ellerman, H D Jacoby (1996). The MIT Emissions Prediction and Policy Analysis (EPPA) Model. MIT Joint Program on the Science and Policy of Global Change, ().
    5. ^  Sergey Paltsev, John M Reilly, Henry D Jacoby, Richard S Eckaus, James R McFarland, Marcus C Sarofim, Malcolm O Asadoorian, Mustafa HM Babiker (2005). The MIT emissions prediction and policy analysis (EPPA) model: version 4. MIT Joint Program on the Science and Policy of Global Change, ().
    6. ^  Thomas Rutherford (1997). GTAPinGAMS: The Dataset and Static Model. Global Trade Analysis Project (GTAP), ().
    7. ^  Thomas F Rutherford (1999). Applied general equilibrium modeling with MPSGE as a GAMS subsystem: An overview of the modeling framework and syntax. Computational economics, 14 (1-2), 1--46.
    8. ^  Michael C. Ferris, Todd S. Munson (2000). Complementarity problems in GAMS and the PATH solver. Journal of Economic Dynamics and Control, 24 (), 165-188. http://dx.doi.org/10.1016/s0165-1889(98)00092-x