Fossil energy resources - COFFEE-TEA: Difference between revisions
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The oil and natural gas supply curve in the COFFEE model 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. | The oil and natural gas supply curve in the COFFEE model 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, as shown in Figure. | ||
<figure id="fig:Oil"> | |||
[[File:oil.png|600px|thumb|<caption>Oil supply curve detailing each oil category</caption>]] | |||
</figure>. | |||
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. | 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. | ||
Revision as of 17:15, 25 February 2019
Note: The documentation of COFFEE-TEA is 'under review' and is not yet 'published'!| 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 oil and natural gas supply curve in the COFFEE model 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, as shown in Figure.
<figure id="fig:Oil">
</figure>.
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.