Fossil energy resources - 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 | |
Despite the recent changes toward to a more sustainable world, the fossil fuels are still the main energy resource used to supply the energy demand. They responded for more than 80% of the primary energy consumption in 2015 (IEA, 2017).
It is clear the importance to well represent these resources in the long term and in every region. Fossil fuels availability and price were defined by cost curve which specifies the price and the amount of resource that can be obtained in each level. These levels were built based on an assumption of increasing exploitation costs.
The oil and natural gas supply curve were built based on several studies. The data was obtained from the detailed resource assessments in USGS (2000), USGS (2007), WEC (2010) , USGS (2012), WEC (2013) and MCGLADE (2013), detailed technical parameters (such as Enhanced Oil Recovery, or EOR, recovery rates and potential) available in MCGLADE (2013) and ROGNER (1997), and also the cost data from MCGLADE (2013) and IEA (2014), the following data were gathered processed and compiled to determine the supply curve.
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.
The main sources of information for developing a specific supply curve were ROGNER (1997), as it deals with hydrocarbons in general, WEC (2013), IEA (2014), MCGLADE AND EKINS (2015) and GMI (2015). These studies were used to the estimate the methane content for every coal resource category.