Difference between revisions of "Uranium and other fissile resources - COFFEE-TEA"

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The estimates available in the literature for uranium resources are a lot more comprehensive and agreeable then that of oil and gas due to the national and international interest in mapping the location and accessibility of the nuclear resources, due to risk of exposure to natural radiation and potential proliferation of non-energetic nuclear technologies.
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For instance, WEC (2013), IAEA (1999) and IAEA (2014) provide a summary of national reports, which includes resource assessment of natural uranium. All these studies used the IAEA classification for uranium resources (IAEA, 2014). The resources are divided into two aspects, extraction costs and resource nature.

Revision as of 22:31, 20 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


    The estimates available in the literature for uranium resources are a lot more comprehensive and agreeable then that of oil and gas due to the national and international interest in mapping the location and accessibility of the nuclear resources, due to risk of exposure to natural radiation and potential proliferation of non-energetic nuclear technologies.

    For instance, WEC (2013), IAEA (1999) and IAEA (2014) provide a summary of national reports, which includes resource assessment of natural uranium. All these studies used the IAEA classification for uranium resources (IAEA, 2014). The resources are divided into two aspects, extraction costs and resource nature.

    References

    1. a b  IAEA(2014). Uranium 2014: Resources, Production and Demand. Retrieved from https://www.oecd-nea.org/ndd/pubs/2014/7209-uranium-2014.pdf

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