Non-biomass renewables - COFFEE-TEA: Difference between revisions
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{{ModelDocumentationTemplate | {{ModelDocumentationTemplate | ||
|IsDocumentationOf=TEA | |IsDocumentationOf=COFFEE-TEA | ||
|DocumentationCategory=Non-biomass renewables | |DocumentationCategory=Non-biomass renewables | ||
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Solar and Wind energy resources were estimated in the COFFEE model from | Solar and Wind energy resources were estimated in the COFFEE model from [[CiteRef::nrel2015]] and other related engineering literature, especially for cost estimation. For solar resource the supply curve introduced in the model was based on solar radiance itself, instead of on electricity or power. Additionally, resources are split in four steps of increasing capacity factor. | ||
For wind resources the capacity factor is split in offshore and onshore and the distance to major consumers and to the coastline are considered. This is important to generate better supply curves for energy resources, since the optimum decision from the model may be to use a lower capacity factor that is closer to the end consumer, depending on the costs associated. In the COFFEE model, wind resource was estimated considering 12 step curves for and 27 step discrete curves were created combining capacity factor, distance to shore and water depth for onshore and offshore, respectively. <xr id="fig: | For wind resources the capacity factor is split in offshore and onshore and the distance to major consumers and to the coastline are considered. This is important to generate better supply curves for energy resources, since the optimum decision from the model may be to use a lower capacity factor that is closer to the end consumer, depending on the costs associated. In the COFFEE model, wind resource was estimated considering 12 step curves for and 27 step discrete curves were created combining capacity factor, distance to shore and water depth for onshore and offshore, respectively. <xr id="fig:Wind_solar"/> summarizes the wind and solar resource categories. | ||
<figure id="fig:Wind_solar"> | <figure id="fig:Wind_solar"> | ||
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</figure>. | </figure>. | ||
In the COFFEE model, the quality of the hydro resources derives from two major components: capacity factors and resource availability. These aspects are directly associated with exploitation costs. Thus, the total resources can be separated in terms of costs in order to create a supply curve for Hydro power. | In the COFFEE model, the quality of the hydro resources derives from two major components: capacity factors and resource availability. These aspects are directly associated with exploitation costs. Thus, the total resources can be separated in terms of costs in order to create a supply curve for Hydro power. [[CiteRef::ireana2014]] and other related literature provide regional profiles for hydro projects and was used to estimate the hydro resource availability for the 18 regions of the model. | ||
<figure id="fig:hydro"> | <figure id="fig:hydro"> | ||
[[File:hydro.png|600px|thumb|<caption>Estimated installed capacity, total potential and potential by category for the hydro resource (GW).</caption>]] | [[File:hydro.png|600px|thumb|<caption>Estimated installed capacity, total potential and potential by category for the hydro resource (GW).</caption>]] | ||
</figure>. | </figure>. | ||
Latest revision as of 11:58, 6 September 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 | |
Solar and Wind energy resources were estimated in the COFFEE model from nrel2015 and other related engineering literature, especially for cost estimation. For solar resource the supply curve introduced in the model was based on solar radiance itself, instead of on electricity or power. Additionally, resources are split in four steps of increasing capacity factor.
For wind resources the capacity factor is split in offshore and onshore and the distance to major consumers and to the coastline are considered. This is important to generate better supply curves for energy resources, since the optimum decision from the model may be to use a lower capacity factor that is closer to the end consumer, depending on the costs associated. In the COFFEE model, wind resource was estimated considering 12 step curves for and 27 step discrete curves were created combining capacity factor, distance to shore and water depth for onshore and offshore, respectively. <xr id="fig:Wind_solar"/> summarizes the wind and solar resource categories.
<figure id="fig:Wind_solar">
</figure>.
In the COFFEE model, the quality of the hydro resources derives from two major components: capacity factors and resource availability. These aspects are directly associated with exploitation costs. Thus, the total resources can be separated in terms of costs in order to create a supply curve for Hydro power. ireana2014 and other related literature provide regional profiles for hydro projects and was used to estimate the hydro resource availability for the 18 regions of the model.
<figure id="fig:hydro">
</figure>.