Energy resource endowments - MESSAGE-GLOBIOM - Revision history

Anique Carbados: Added a note orienting readers to correct pages.

2020-11-19T13:38:05Z

Added a note orienting readers to correct pages.

← Older revision		Revision as of 15:38, 19 November 2020
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	\|DocumentationCategory=Energy resource endowments		\|DocumentationCategory=Energy resource endowments
	}}		}}
			Information about the MESSAGEix-GLOBIOM energy resource endowments can be found in the following subsections:
			* [[Fossil energy resources - MESSAGE-GLOBIOM\|Fossil energy resources - MESSAGEix-GLOBIOM]]
			* [[Uranium and other fissile resources - MESSAGE-GLOBIOM\|Uranium and other fissile resources - MESSAGEix-GLOBIOM]]
			* [[Bioenergy - MESSAGE-GLOBIOM\|Bioenergy - MESSAGEix-GLOBIOM]]
			* [[Non-biomass renewables - MESSAGE-GLOBIOM\|Non-biomass renewables - MESSAGEix-GLOBIOM]]

Johanna Zilliacus: Replaced content with "{{ModelDocumentationTemplate |IsEmpty=No |IsDocumentationOf=MESSAGE-GLOBIOM |DocumentationCategory=Energy resource endowments }}"

2016-08-30T14:25:36Z

Replaced content with "{{ModelDocumentationTemplate |IsEmpty=No |IsDocumentationOf=MESSAGE-GLOBIOM |DocumentationCategory=Energy resource endowments }}"

Show changes

Johanna Zilliacus at 13:27, 24 August 2016

2016-08-24T13:27:12Z

← Older revision		Revision as of 15:27, 24 August 2016
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	\|}		\|}
	</figtable>		</figtable>


	The following table (<xr id="tab:MESSAGE-GLOBIOM_ffavail"/>) presents the fossil resource availability in ZJ (2010-2100) for coal, oil and gas, for SSP1, SSP2 and SSP3, respectively.		The following table (<xr id="tab:MESSAGE-GLOBIOM_ffavail"/>) presents the fossil resource availability in ZJ (2010-2100) for coal, oil and gas, for SSP1, SSP2 and SSP3, respectively.


	<figtable id="tab:MESSAGE-GLOBIOM_ffavail">		<figtable id="tab:MESSAGE-GLOBIOM_ffavail">
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	\|}		\|}
	</figtable>		</figtable>


	Coal is the largest resource among fossil fuels; it accounts for more than 50% of total fossil reserve plus resource estimates even at the higher end of the assumptions, which includes		Coal is the largest resource among fossil fuels; it accounts for more than 50% of total fossil reserve plus resource estimates even at the higher end of the assumptions, which includes
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	increased overall reliance on this resource. Russia and the former Soviet Union states, Pacific OECD, North America, and Centrally Planned Asia and China all possess more than 10 ZJ		increased overall reliance on this resource. Russia and the former Soviet Union states, Pacific OECD, North America, and Centrally Planned Asia and China all possess more than 10 ZJ
	of reserves.		of reserves.


	==Nuclear Resources==		==Nuclear Resources==
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	<xr id="fig:MESSAGE-GLOBIOM_uran"/> presents the global uranium resources in the MESSAGE interpretation of the SSPs compared to seven supply curves from a literature review (Schneider and Sailor, 2008 [[CiteRef::MSG-GLB_schneider_long-term_2008]]). Conservative Crustal and Optimistic Crustal refer to simple crustal models of uranium distribution in the crust and the of extraction costs on the concentration. Pure-KCR refers to a fit of a simple crustal model to known conventional resources (KCR) as estimated by the Red Book 2003 (OECD/NEA 2004, [[CiteRef::MSG-GLB_oecd_uranium_2003]]). PPM-Cost over the simple crustal models include a relationship between uranium grade and extraction costs. FCCCG(1) and (2) as well as DANESS refer to estimats from more complicated models of the dependency of extraction costs on uranium concentration (and therefore resource grade).		<xr id="fig:MESSAGE-GLOBIOM_uran"/> presents the global uranium resources in the MESSAGE interpretation of the SSPs compared to seven supply curves from a literature review (Schneider and Sailor, 2008 [[CiteRef::MSG-GLB_schneider_long-term_2008]]). Conservative Crustal and Optimistic Crustal refer to simple crustal models of uranium distribution in the crust and the of extraction costs on the concentration. Pure-KCR refers to a fit of a simple crustal model to known conventional resources (KCR) as estimated by the Red Book 2003 (OECD/NEA 2004, [[CiteRef::MSG-GLB_oecd_uranium_2003]]). PPM-Cost over the simple crustal models include a relationship between uranium grade and extraction costs. FCCCG(1) and (2) as well as DANESS refer to estimats from more complicated models of the dependency of extraction costs on uranium concentration (and therefore resource grade).


	==Non-Biomass Renewable Resources==		==Non-Biomass Renewable Resources==
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	Regional resource potentials for solar and wind are classified according to resource quality (annual capacity factor) based on Pietzcker et al. (2014, [[CiteRef::MSG-GLB_pietzcker_solar_2014]]) and Eurek et al. (in review, [[CiteRef::MSG-GLB_eurek_wind_2016]]). Regional resource potentials as implemented into MESSAGE-GLOBIOM are provided by region and capacity factor for solar PV, concentrating solar power (CSP), and onshore/offshore wind in Johnson et al. (in review, [[CiteRef::MSG-GLB_johnson_vre_2016]]). The physical potential of these sources is assumed to be the same across all SSPs. <xr id="tab:MESSAGE-GLOBIOM_pv"/>, <xr id="tab:MESSAGE-GLOBIOM_csp"/>, <xr id="tab:MESSAGE-GLOBIOM_onshorewind"/>, <xr id="tab:MESSAGE-GLOBIOM_offshorewind"/> show the resource potential for solar PV, CSP, on- and offshore wind respectively. For wind, <xr id="tab:MESSAGE-GLOBIOM_capfactonshore"/> and <xr id="tab:MESSAGE-GLOBIOM_capfactoffshore"/> list the capacity factors corresponding to the wind classes used in the resource tables. It is important to note that part of the resource that is useable at economically competitive costs is assumed to differ widely (see Section [[Energy_conversion_-_MESSAGE-GLOBIOM\|Energy Conversion of MESSAGE-GLOBIOM]]).		Regional resource potentials for solar and wind are classified according to resource quality (annual capacity factor) based on Pietzcker et al. (2014, [[CiteRef::MSG-GLB_pietzcker_solar_2014]]) and Eurek et al. (in review, [[CiteRef::MSG-GLB_eurek_wind_2016]]). Regional resource potentials as implemented into MESSAGE-GLOBIOM are provided by region and capacity factor for solar PV, concentrating solar power (CSP), and onshore/offshore wind in Johnson et al. (in review, [[CiteRef::MSG-GLB_johnson_vre_2016]]). The physical potential of these sources is assumed to be the same across all SSPs. <xr id="tab:MESSAGE-GLOBIOM_pv"/>, <xr id="tab:MESSAGE-GLOBIOM_csp"/>, <xr id="tab:MESSAGE-GLOBIOM_onshorewind"/>, <xr id="tab:MESSAGE-GLOBIOM_offshorewind"/> show the resource potential for solar PV, CSP, on- and offshore wind respectively. For wind, <xr id="tab:MESSAGE-GLOBIOM_capfactonshore"/> and <xr id="tab:MESSAGE-GLOBIOM_capfactoffshore"/> list the capacity factors corresponding to the wind classes used in the resource tables. It is important to note that part of the resource that is useable at economically competitive costs is assumed to differ widely (see Section [[Energy_conversion_-_MESSAGE-GLOBIOM\|Energy Conversion of MESSAGE-GLOBIOM]]).


	<figtable id="tab:MESSAGE-GLOBIOM_pv">		<figtable id="tab:MESSAGE-GLOBIOM_pv">
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	\|}		\|}
	</figtable>		</figtable>


	<figtable id="tab:MESSAGE-GLOBIOM_csp">		<figtable id="tab:MESSAGE-GLOBIOM_csp">
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	\|}		\|}
	</figtable>		</figtable>


	<figtable id="tab:MESSAGE-GLOBIOM_onshorewind">		<figtable id="tab:MESSAGE-GLOBIOM_onshorewind">
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	\|}		\|}
	</figtable>		</figtable>



	<figtable id="tab:MESSAGE-GLOBIOM_capfactonshore">		<figtable id="tab:MESSAGE-GLOBIOM_capfactonshore">
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	\|}		\|}
	</figtable>		</figtable>


	<figtable id="tab:MESSAGE-GLOBIOM_offshorewind">		<figtable id="tab:MESSAGE-GLOBIOM_offshorewind">
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	\|}		\|}
	</figtable>		</figtable>



	<figtable id="tab:MESSAGE-GLOBIOM_capfactoffshore">		<figtable id="tab:MESSAGE-GLOBIOM_capfactoffshore">

Johanna Zilliacus: /* Biomass Resources */

2016-08-24T13:24:56Z

Biomass Resources

← Older revision		Revision as of 15:24, 24 August 2016
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	==Biomass Resources==		==Biomass Resources==

	Biomass energy is another potentially important renewable energy resource in the MESSAGE-GLOBIOM model. This includes both commercial and non-commercial use. Commercial refers to the use of bioenergy in, for example, power plants or biofuel refineries, while non-commercial refers to the use of bioenergy for residential heating and cooking, primarily in rural households of today’s developing countries. Bioenergy potentials differ across SSPs as a result of different levels of competition over land for food and fibre, but ultimately only vary to a limited degree (<xr id="~~tab~~:MESSAGE-GLOBIOM_beavail"/>). The drivers underlying this competition are different land-use developments in the SSPs, which are determined by agricultural productivity and global demand for food consumption. (Fricko et al., 2016 [[CiteRef::MSG-GLB_fricko_marker_2016]])		Biomass energy is another potentially important renewable energy resource in the MESSAGE-GLOBIOM model. This includes both commercial and non-commercial use. Commercial refers to the use of bioenergy in, for example, power plants or biofuel refineries, while non-commercial refers to the use of bioenergy for residential heating and cooking, primarily in rural households of today’s developing countries. Bioenergy potentials differ across SSPs as a result of different levels of competition over land for food and fibre, but ultimately only vary to a limited degree (<xr id="fig:MESSAGE-GLOBIOM_beavail"/>). The drivers underlying this competition are different land-use developments in the SSPs, which are determined by agricultural productivity and global demand for food consumption. (Fricko et al., 2016 [[CiteRef::MSG-GLB_fricko_marker_2016]])

	<div style=" overflow: auto;">		<div style=" overflow: auto;">
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	</div>		</div>

	Availability of bioenergy is presented in <xr id="~~tab~~:MESSAGE-GLOBIOM_beavail"/> at different price levels in the MESSAGE-GLOBIOM model for the three SSPs (Fricko et al., 2016 [[CiteRef::MSG-GLB_fricko_marker_2016]]). Typically non-commercial biomass is not traded or sold, however in some cases there is a market – prices range from 0.1-1.5$/GJ (Pachauri et al., 2013 [[CiteRef::MSG-GLB_pachauri_pathways_2013]]) ($ equals 2005 USD).		Availability of bioenergy is presented in <xr id="fig:MESSAGE-GLOBIOM_beavail"/> at different price levels in the MESSAGE-GLOBIOM model for the three SSPs (Fricko et al., 2016 [[CiteRef::MSG-GLB_fricko_marker_2016]]). Typically non-commercial biomass is not traded or sold, however in some cases there is a market – prices range from 0.1-1.5$/GJ (Pachauri et al., 2013 [[CiteRef::MSG-GLB_pachauri_pathways_2013]]) ($ equals 2005 USD).

Johanna Zilliacus at 08:43, 24 August 2016

2016-08-24T08:43:35Z

← Older revision		Revision as of 10:43, 24 August 2016
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	</figtable>		</figtable>

	''Notes: MESSAGE-GLOBIOM renewable energy potentials are based on Pietzcker et al. (2014) [[CiteRef::MSG-GLB_pietzcker_solar_2014]], Eurek et al. (in review) [[CiteRef::MSG-GLB_eurek_wind_2016]], Christiansson (1995) [[CiteRef::MSG-GLB_christiansson_diffusion_1995]], and Rogner et al (2012) [[CiteRef::MSG-GLB_rogner_chapter_2012]]. The potentials for non-combustible renewable energy sources are specified in terms of the electricity or heat that can be produced by specific technologies (i.e., from a secondary energy perspective). By contrast, the technical potentials from [[CiteRef::MSG-GLB_rogner_chapter_2012]] refer to the flows of energy that could become available as inputs for technology conversion. So for example, the technical potential for wind is given as the kinetic energy available for wind power generation, whereas the deployment potential would only be the electricity that could be generated by the wind turbines.''		''Notes: MESSAGE-GLOBIOM renewable energy potentials are based on Pietzcker et al. (2014) [[CiteRef::MSG-GLB_pietzcker_solar_2014]], Eurek et al. (in review) [[CiteRef::MSG-GLB_eurek_wind_2016]], Christiansson (1995) [[CiteRef::MSG-GLB_christiansson_diffusion_1995]], and Rogner et al (2012) [[CiteRef::MSG-GLB_rogner_chapter_2012]]. The potentials for non-combustible renewable energy sources are specified in terms of the electricity or heat that can be produced by specific technologies (i.e., from a secondary energy perspective). By contrast, the technical potentials from Rogner et al (2012) [[CiteRef::MSG-GLB_rogner_chapter_2012]] refer to the flows of energy that could become available as inputs for technology conversion. So for example, the technical potential for wind is given as the kinetic energy available for wind power generation, whereas the deployment potential would only be the electricity that could be generated by the wind turbines.''

	Regional resource potentials for solar and wind are classified according to resource quality (annual capacity factor) based on Pietzcker et al. (2014, [[CiteRef::MSG-GLB_pietzcker_solar_2014]]) and Eurek et al. (in review, [[CiteRef::MSG-GLB_eurek_wind_2016]]). Regional resource potentials as implemented into MESSAGE-GLOBIOM are provided by region and capacity factor for solar PV, concentrating solar power (CSP), and onshore/offshore wind in Johnson et al. (in review, [[CiteRef::MSG-GLB_johnson_vre_2016]]). The physical potential of these sources is assumed to be the same across all SSPs. <xr id="tab:MESSAGE-GLOBIOM_pv"/>, <xr id="tab:MESSAGE-GLOBIOM_csp"/>, <xr id="tab:MESSAGE-GLOBIOM_onshorewind"/>, <xr id="tab:MESSAGE-GLOBIOM_offshorewind"/> show the resource potential for solar PV, CSP, on- and offshore wind respectively. For wind, <xr id="tab:MESSAGE-GLOBIOM_capfactonshore"/> and <xr id="tab:MESSAGE-GLOBIOM_capfactoffshore"/> list the capacity factors corresponding to the wind classes used in the resource tables. It is important to note that part of the resource that is useable at economically competitive costs is assumed to differ widely (see Section [[Energy_conversion_-_MESSAGE-GLOBIOM\|Energy Conversion of MESSAGE-GLOBIOM]]).		Regional resource potentials for solar and wind are classified according to resource quality (annual capacity factor) based on Pietzcker et al. (2014, [[CiteRef::MSG-GLB_pietzcker_solar_2014]]) and Eurek et al. (in review, [[CiteRef::MSG-GLB_eurek_wind_2016]]). Regional resource potentials as implemented into MESSAGE-GLOBIOM are provided by region and capacity factor for solar PV, concentrating solar power (CSP), and onshore/offshore wind in Johnson et al. (in review, [[CiteRef::MSG-GLB_johnson_vre_2016]]). The physical potential of these sources is assumed to be the same across all SSPs. <xr id="tab:MESSAGE-GLOBIOM_pv"/>, <xr id="tab:MESSAGE-GLOBIOM_csp"/>, <xr id="tab:MESSAGE-GLOBIOM_onshorewind"/>, <xr id="tab:MESSAGE-GLOBIOM_offshorewind"/> show the resource potential for solar PV, CSP, on- and offshore wind respectively. For wind, <xr id="tab:MESSAGE-GLOBIOM_capfactonshore"/> and <xr id="tab:MESSAGE-GLOBIOM_capfactoffshore"/> list the capacity factors corresponding to the wind classes used in the resource tables. It is important to note that part of the resource that is useable at economically competitive costs is assumed to differ widely (see Section [[Energy_conversion_-_MESSAGE-GLOBIOM\|Energy Conversion of MESSAGE-GLOBIOM]]).

Johanna Zilliacus at 08:40, 24 August 2016

2016-08-24T08:40:14Z

← Older revision		Revision as of 10:40, 24 August 2016
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	==Non-Biomass Renewable Resources==		==Non-Biomass Renewable Resources==

	<xr id="~~fig~~:MESSAGE-GLOBIOM_depl"/> shows the assumed total potentials of non-biomass renewable energy deployment (by resource type) in the MESSAGE model. In addition, the assumptions are compared with technical potential estimates from the Global Energy Assessment (Rogner et al., 2012 [[CiteRef::MSG-GLB_rogner_chapter_2012]]). In this context, it is important to note that typical MESSAGE scenarios do not consider the full technical potential of renewable energy resources, but rather only a subset of those potentials, owing to additional constraints (e.g., sustainability criteria, technology diffusion and systems integration issues, and other economic considerations) that may not be fully captured within the model. These constraints may lead to a		<xr id="tab:MESSAGE-GLOBIOM_depl"/> shows the assumed total potentials of non-biomass renewable energy deployment (by resource type) in the MESSAGE model. In addition, the assumptions are compared with technical potential estimates from the Global Energy Assessment (Rogner et al., 2012 [[CiteRef::MSG-GLB_rogner_chapter_2012]]). In this context, it is important to note that typical MESSAGE scenarios do not consider the full technical potential of renewable energy resources, but rather only a subset of those potentials, owing to additional constraints (e.g., sustainability criteria, technology diffusion and systems integration issues, and other economic considerations) that may not be fully captured within the model. These constraints may lead to a significant reduction of the technical potential.
	significant reduction of the technical potential.

	<figtable id="tab:MESSAGE-GLOBIOM_depl">		<figtable id="tab:MESSAGE-GLOBIOM_depl">
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	</figtable>		</figtable>

	Notes: MESSAGE-GLOBIOM renewable energy potentials are based on* Pietzcker et al. (2014) [[CiteRef::MSG-GLB_pietzcker_solar_2014]], Eurek et al. (in review) [[CiteRef::MSG-GLB_eurek_wind_2016]], Christiansson (1995) [[CiteRef::MSG-GLB_christiansson_diffusion_1995]], and Rogner et al (2012) [[CiteRef::MSG-GLB_rogner_chapter_2012]]. The potentials for non-combustible renewable energy sources are specified in terms of the electricity or heat that can be produced by specific technologies (i.e., from a secondary energy perspective). By contrast, the technical potentials from [[CiteRef::MSG-GLB_rogner_chapter_2012]] refer to the flows of energy that could become available as inputs for technology conversion. So for example, the technical potential for wind is given as the kinetic energy available for wind power generation, whereas the deployment potential would only be the electricity that could be generated by the wind turbines.		''Notes: MESSAGE-GLOBIOM renewable energy potentials are based on Pietzcker et al. (2014) [[CiteRef::MSG-GLB_pietzcker_solar_2014]], Eurek et al. (in review) [[CiteRef::MSG-GLB_eurek_wind_2016]], Christiansson (1995) [[CiteRef::MSG-GLB_christiansson_diffusion_1995]], and Rogner et al (2012) [[CiteRef::MSG-GLB_rogner_chapter_2012]]. The potentials for non-combustible renewable energy sources are specified in terms of the electricity or heat that can be produced by specific technologies (i.e., from a secondary energy perspective). By contrast, the technical potentials from [[CiteRef::MSG-GLB_rogner_chapter_2012]] refer to the flows of energy that could become available as inputs for technology conversion. So for example, the technical potential for wind is given as the kinetic energy available for wind power generation, whereas the deployment potential would only be the electricity that could be generated by the wind turbines.''

	Regional resource potentials for solar and wind are classified according to resource quality (annual capacity factor) based on Pietzcker et al. (2014, [[CiteRef::MSG-GLB_pietzcker_solar_2014]]) and Eurek et al. (in review, [[CiteRef::MSG-GLB_eurek_wind_2016]]). Regional resource potentials as implemented into MESSAGE-GLOBIOM are provided by region and capacity factor for solar PV, concentrating solar power (CSP), and onshore/offshore wind in Johnson et al. (in review, [[CiteRef::MSG-GLB_johnson_vre_2016]]). The physical potential of these sources is assumed to be the same across all SSPs. <xr id="tab:MESSAGE-GLOBIOM_pv"/>, <xr id="tab:MESSAGE-GLOBIOM_csp"/>, <xr id="tab:MESSAGE-GLOBIOM_onshorewind"/>, <xr id="tab:MESSAGE-GLOBIOM_offshorewind"/> show the resource potential for solar PV, CSP, on- and offshore wind respectively. For wind, <xr id="tab:MESSAGE-GLOBIOM_capfactonshore"/> and <xr id="tab:MESSAGE-GLOBIOM_capfactoffshore"/> list the capacity factors corresponding to the wind classes used in the resource tables. It is important to note that part of the resource that is useable at economically competitive costs is assumed to differ widely (see Section [[Energy_conversion_-_MESSAGE-GLOBIOM\|Energy Conversion of MESSAGE-GLOBIOM]]).		Regional resource potentials for solar and wind are classified according to resource quality (annual capacity factor) based on Pietzcker et al. (2014, [[CiteRef::MSG-GLB_pietzcker_solar_2014]]) and Eurek et al. (in review, [[CiteRef::MSG-GLB_eurek_wind_2016]]). Regional resource potentials as implemented into MESSAGE-GLOBIOM are provided by region and capacity factor for solar PV, concentrating solar power (CSP), and onshore/offshore wind in Johnson et al. (in review, [[CiteRef::MSG-GLB_johnson_vre_2016]]). The physical potential of these sources is assumed to be the same across all SSPs. <xr id="tab:MESSAGE-GLOBIOM_pv"/>, <xr id="tab:MESSAGE-GLOBIOM_csp"/>, <xr id="tab:MESSAGE-GLOBIOM_onshorewind"/>, <xr id="tab:MESSAGE-GLOBIOM_offshorewind"/> show the resource potential for solar PV, CSP, on- and offshore wind respectively. For wind, <xr id="tab:MESSAGE-GLOBIOM_capfactonshore"/> and <xr id="tab:MESSAGE-GLOBIOM_capfactoffshore"/> list the capacity factors corresponding to the wind classes used in the resource tables. It is important to note that part of the resource that is useable at economically competitive costs is assumed to differ widely (see Section [[Energy_conversion_-_MESSAGE-GLOBIOM\|Energy Conversion of MESSAGE-GLOBIOM]]).

Johanna Zilliacus at 08:36, 24 August 2016

2016-08-24T08:36:24Z

← Older revision		Revision as of 10:36, 24 August 2016
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	<figtable id="tab:MESSAGE-GLOBIOM_depl">		<figtable id="tab:MESSAGE-GLOBIOM_depl">
	{\| class="wikitable"		{\| class="wikitable"
	\|+<caption>Assumed global non-biomass renewable energy deployment potentials in the MESSAGE-GLOBIOM model. Estimates from the Global Energy Assessment (Rogner et al., 2012) also added for comparison</caption>		\|+<caption>Assumed global non-biomass renewable energy deployment potentials in the MESSAGE-GLOBIOM model. Estimates from the Global Energy Assessment (Rogner et al., 2012 [[CiteRef::MSG-GLB_rogner_chapter_2012]]) also added for comparison</caption>
	! Source		! Source
	! MESSAGE		! MESSAGE

Johanna Zilliacus at 07:53, 24 August 2016

2016-08-24T07:53:51Z

← Older revision		Revision as of 09:53, 24 August 2016
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	</div>		</div>

	<xr id="fig:MESSAGE-GLOBIOM_uran"/> presents the global uranium resources in the MESSAGE interpretation of the SSPs compared to seven supply curves from a literature review (Schneider and Sailor, 2008 [[CiteRef::MSG-GLB_schneider_long-term_2008]]). Conservative Crustal and Optimistic Crustal refer to simple crustal models of uranium distribution in the crust and the of extraction costs on the concentration. Pure-KCR refers to a fit of a simple crustal model to known conventional resources (KCR) as estimated by the Red Book 2003 (OECD/NEA 2004, [[CiteRef::MSG-~~GLB_oecd_uranium_2004~~]]). PPM-Cost over the simple crustal models include a relationship between uranium grade and extraction costs. FCCCG(1) and (2) as well as DANESS refer to estimats from more complicated models of the dependency of extraction costs on uranium concentration (and therefore resource grade).		<xr id="fig:MESSAGE-GLOBIOM_uran"/> presents the global uranium resources in the MESSAGE interpretation of the SSPs compared to seven supply curves from a literature review (Schneider and Sailor, 2008 [[CiteRef::MSG-GLB_schneider_long-term_2008]]). Conservative Crustal and Optimistic Crustal refer to simple crustal models of uranium distribution in the crust and the of extraction costs on the concentration. Pure-KCR refers to a fit of a simple crustal model to known conventional resources (KCR) as estimated by the Red Book 2003 (OECD/NEA 2004, [[CiteRef::MSG-GLB_oecd_uranium_2003]]). PPM-Cost over the simple crustal models include a relationship between uranium grade and extraction costs. FCCCG(1) and (2) as well as DANESS refer to estimats from more complicated models of the dependency of extraction costs on uranium concentration (and therefore resource grade).

	==Non-Biomass Renewable Resources==		==Non-Biomass Renewable Resources==

Johanna Zilliacus at 16:08, 23 August 2016

2016-08-23T16:08:11Z

← Older revision		Revision as of 18:08, 23 August 2016
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	<div style=" overflow: auto;">		<div style=" overflow: auto;">
	<figure id="fig:MESSAGE-GLOBIOM_supply">		<figure id="fig:MESSAGE-GLOBIOM_supply">
	[[File:GlobalResourceSupplyCurves.png\|left\|750px\|thumb\|<caption>Cumulative global resource supply curves for coal (top), oil (middle), and gas (bottom) in the IIASA IAM framework ~~[[CiteRef::MSG-GLB_rogner_chapter_2012]]~~ </caption>]]		[[File:GlobalResourceSupplyCurves.png\|left\|750px\|thumb\|<caption>Cumulative global resource supply curves for coal (top), oil (middle), and gas (bottom) in the IIASA IAM framework</caption>]]
	</figure>		</figure>
	</div>		</div>

Johanna Zilliacus at 16:07, 23 August 2016

2016-08-23T16:07:11Z

← Older revision		Revision as of 18:07, 23 August 2016
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	<div style=" overflow: auto;">		<div style=" overflow: auto;">
	<figure id="fig:MESSAGE-GLOBIOM_supply">		<figure id="fig:MESSAGE-GLOBIOM_supply">
	[[File:GlobalResourceSupplyCurves.png\|left\|750px\|thumb\|<caption>Cumulative global resource supply curves for coal (top), oil (middle), and gas (bottom) in the IIASA IAM framework</caption>]]		[[File:GlobalResourceSupplyCurves.png\|left\|750px\|thumb\|<caption>Cumulative global resource supply curves for coal (top), oil (middle), and gas (bottom) in the IIASA IAM framework [[CiteRef::MSG-GLB_rogner_chapter_2012]] </caption>]]
	</figure>		</figure>
	</div>		</div>