Fossil energy resources - 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
Corresponding documentation
Model information
Institution UFRJ (COPPE UFRJ), Brazil, http://www.ppe.ufrj.br/index.php/en.
main users: Roberto Schaeffer; Alexandre Szklo; Andre F. P. Lucena; Angelo C. Gurgel; Pedro R. R. Rochedo; Mariana Imperio; Bruno S. L. Cunha; Rafael Garaffa
Solution concept The models can run scenarios as a stand-alone application or linked through a soft-link process.
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 oil and natural gas supply curve in the COFFEE model were built based on several studies. The data was obtained from detailed resource assessments in the engineering literature, detailed technical and cost parameters (such as Enhanced Oil Recovery, or EOR, recovery rates and potential) are available in 123. Data were gathered processed and compiled to determine the supply curve, as shown in Figure 1 and Figure 2.

Figure 1: Oil supply curve detailing each oil category
.
Figure 2: Natural gas supply curve detailing each regional resource
.

A coal resource assessment profile was also developed to check this availability. In the model, the categories defined for coal are betuminous, sub-betuminous, and lignite, all of them split in surface or mining availability for each region. Main sources for developing a specific supply curve include 2 and other related literature that was used to the estimate the methane content for every coal resource category (Figure 3).

Figure 3: Methane content for every region and resource category
.

References

  1. ^  |  Christophe E McGlade(2014). Uncertainties in the outlook for oil and gas. Retrieved from http://discovery.ucl.ac.uk/1418473/
  2. a b  | | |  Hans-Holger Rogner (1997). An assessment of world hydrocarbon resources. Annual review of energy and the environment, 22 (1), 217-262.
  3. ^  |  IEA(2014). World Energy Outlook 2014. Retrieved from https://www.iea.org/publications/freepublications/publication/WEO2014.pdf