Residential and commercial sectors - GCAM - Revision history

Matthew Binsted at 21:42, 21 June 2022

2022-06-21T21:42:59Z

← Older revision		Revision as of 23:42, 21 June 2022
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	GCAM disaggregates the building sector into residential and commercial sectors and models three aggregate services (heating, cooling, and other). Within each region, each type of building and each service starts with a different mix of fuels supplying energy. The future evolution of building energy use is shaped by changes in (1) floorspace, (2) the level of building service per unit of floorspace, and (3) fuel and technology choices by consumers. Residential floorspace depends on population, income, population density, and exogenously estimated parameters. Commercial floorspace depends on population, income, the average price of energy services, and exogenously specified satiation levels. Note that GCAM also includes the option to specify [https://jgcri.github.io/gcam-doc/details_energy.html#optional-exogenous-floorspace floorspace exogenously]. The level of building service demands per unit of floorspace depend on climate, building shell conductivity, affordability, and satiation levels. The approach used in the buildings sector is documented in ~~[https://jgcri~~.~~github~~.~~io/gcam-doc/demand_energy~~.~~html#clarke2018 Clarke~~ et al. 2018], which has a focus on heating and cooling service and energy demands. Within building services, the structures and functional forms are similar to any other GCAM sector, described in [https://jgcri.github.io/gcam-doc/en_technologies.html Energy Technologies]. See the section on [https://jgcri.github.io/gcam-doc/demand_energy.html#buildings buildings] for more details.		GCAM disaggregates the building sector into residential and commercial sectors and models three aggregate services (heating, cooling, and other). Within each region, each type of building and each service starts with a different mix of fuels supplying energy. The future evolution of building energy use is shaped by changes in (1) floorspace, (2) the level of building service per unit of floorspace, and (3) fuel and technology choices by consumers. Residential floorspace depends on population, income, population density, and exogenously estimated parameters. Commercial floorspace depends on population, income, the average price of energy services, and exogenously specified satiation levels. Note that GCAM also includes the option to specify [https://jgcri.github.io/gcam-doc/details_energy.html#optional-exogenous-floorspace floorspace exogenously]. The level of building service demands per unit of floorspace depend on climate, building shell conductivity, affordability, and satiation levels. The approach used in the buildings sector is documented in Clarke et al. 2018,<ref>Clarke, L., Eom, J., Hodson Marten, E., et al. 2018. Effects of long-term climate change on global building energy expenditures. Energy Economics 72, pp. 667-677.</ref> which has a focus on heating and cooling service and energy demands. Within building services, the structures and functional forms are similar to any other GCAM sector, described in [https://jgcri.github.io/gcam-doc/en_technologies.html Energy Technologies]. See the section on [https://jgcri.github.io/gcam-doc/demand_energy.html#buildings buildings] for more details.

Matthew Binsted at 14:49, 17 June 2022

2022-06-17T14:49:34Z

← Older revision		Revision as of 16:49, 17 June 2022
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	GCAM disaggregates the building sector into residential and commercial sectors and models three aggregate services (heating, cooling, and other). Within each region, each type of building and each service starts with a different mix of fuels supplying energy. The future evolution of building energy use is shaped by changes in (1) floorspace, (2) the level of building service per unit of floorspace, and (3) fuel and technology choices by consumers. Residential floorspace depends on population, income, population density, and exogenously estimated parameters. Commercial floorspace depends on population, income, the average price of energy services, and exogenously specified satiation levels. Note that GCAM also includes the option to specify [https://jgcri.github.io/gcam-doc/details_energy.html#optional-exogenous-floorspace floorspace exogenously]. The level of building service demands per unit of floorspace depend on climate, building shell conductivity, affordability, and satiation levels. The approach used in the buildings sector is documented in [https://jgcri.github.io/gcam-doc/demand_energy.html#clarke2018 Clarke et al. 2018], which has a focus on heating and cooling service and energy demands. Within building services, the structures and functional forms are similar to any other GCAM sector, described in [https://jgcri.github.io/gcam-doc/en_technologies.html Energy Technologies]. See the section on [https://jgcri.github.io/gcam-doc/demand_energy.html#buildings buildings~~] and [https://jgcri.github.io/gcam-doc/details_energy.html#optional-exogenous-floorspace optional exogenous floorspace~~] for more details.		GCAM disaggregates the building sector into residential and commercial sectors and models three aggregate services (heating, cooling, and other). Within each region, each type of building and each service starts with a different mix of fuels supplying energy. The future evolution of building energy use is shaped by changes in (1) floorspace, (2) the level of building service per unit of floorspace, and (3) fuel and technology choices by consumers. Residential floorspace depends on population, income, population density, and exogenously estimated parameters. Commercial floorspace depends on population, income, the average price of energy services, and exogenously specified satiation levels. Note that GCAM also includes the option to specify [https://jgcri.github.io/gcam-doc/details_energy.html#optional-exogenous-floorspace floorspace exogenously]. The level of building service demands per unit of floorspace depend on climate, building shell conductivity, affordability, and satiation levels. The approach used in the buildings sector is documented in [https://jgcri.github.io/gcam-doc/demand_energy.html#clarke2018 Clarke et al. 2018], which has a focus on heating and cooling service and energy demands. Within building services, the structures and functional forms are similar to any other GCAM sector, described in [https://jgcri.github.io/gcam-doc/en_technologies.html Energy Technologies]. See the section on [https://jgcri.github.io/gcam-doc/demand_energy.html#buildings buildings] for more details.

Matthew Binsted at 14:48, 17 June 2022

2022-06-17T14:48:12Z

← Older revision		Revision as of 16:48, 17 June 2022
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	\|DocumentationCategory=Residential and commercial sectors		\|DocumentationCategory=Residential and commercial sectors
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	GCAM disaggregates the building sector into residential and commercial sectors and models three aggregate services (heating, cooling, and other). Within each region, each type of building and each service starts with a different mix of fuels supplying energy. The future evolution of building energy use is shaped by changes in (1) floorspace, (2) the level of building service per unit of floorspace, and (3) fuel and technology choices by consumers. ~~Floorspace~~ depends on population, income, and exogenously specified satiation levels. The level of building service demands per unit of floorspace depend on climate, building shell conductivity, ~~income~~, and satiation levels. See the section on [~~http~~://jgcri.github.io/gcam-doc/~~energy~~.html#buildings buildings] for more ~~information~~.		GCAM disaggregates the building sector into residential and commercial sectors and models three aggregate services (heating, cooling, and other). Within each region, each type of building and each service starts with a different mix of fuels supplying energy. The future evolution of building energy use is shaped by changes in (1) floorspace, (2) the level of building service per unit of floorspace, and (3) fuel and technology choices by consumers. Residential floorspace depends on population, income, population density, and exogenously estimated parameters. Commercial floorspace depends on population, income, the average price of energy services, and exogenously specified satiation levels. Note that GCAM also includes the option to specify [https://jgcri.github.io/gcam-doc/details_energy.html#optional-exogenous-floorspace floorspace exogenously]. The level of building service demands per unit of floorspace depend on climate, building shell conductivity, affordability, and satiation levels. The approach used in the buildings sector is documented in [https://jgcri.github.io/gcam-doc/demand_energy.html#clarke2018 Clarke et al. 2018], which has a focus on heating and cooling service and energy demands. Within building services, the structures and functional forms are similar to any other GCAM sector, described in [https://jgcri.github.io/gcam-doc/en_technologies.html Energy Technologies]. See the section on [https://jgcri.github.io/gcam-doc/demand_energy.html#buildings buildings] and [https://jgcri.github.io/gcam-doc/details_energy.html#optional-exogenous-floorspace optional exogenous floorspace] for more details.

Matthew Binsted at 13:32, 2 September 2020

2020-09-02T13:32:10Z

← Older revision		Revision as of 15:32, 2 September 2020
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	}}		}}
	GCAM disaggregates the building sector into residential and commercial sectors and models three aggregate services (heating, cooling, and other). Within each region, each type of building and each service starts with a different mix of fuels supplying energy. The future evolution of building energy use is shaped by changes in (1) floorspace, (2) the level of building service per unit of floorspace, and (3) fuel and technology choices by consumers. Floorspace depends on population, income, and exogenously specified satiation levels. The level of building service demands per unit of floorspace depend on climate, building shell conductivity, income, and satiation levels. See the [http://jgcri.github.io/gcam-doc/energy.html#buildings ~~section on~~ buildings] for more information.		GCAM disaggregates the building sector into residential and commercial sectors and models three aggregate services (heating, cooling, and other). Within each region, each type of building and each service starts with a different mix of fuels supplying energy. The future evolution of building energy use is shaped by changes in (1) floorspace, (2) the level of building service per unit of floorspace, and (3) fuel and technology choices by consumers. Floorspace depends on population, income, and exogenously specified satiation levels. The level of building service demands per unit of floorspace depend on climate, building shell conductivity, income, and satiation levels. See the section on [http://jgcri.github.io/gcam-doc/energy.html#buildings buildings] for more information.

Matthew Binsted at 20:16, 1 September 2020

2020-09-01T20:16:19Z

← Older revision		Revision as of 22:16, 1 September 2020
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	}}		}}
	GCAM disaggregates the building sector into residential and commercial sectors and models three aggregate services (heating, cooling, and other). Within each region, each type of building and each service starts with a different mix of fuels supplying energy. The future evolution of building energy use is shaped by changes in (1) floorspace, (2) the level of building service per unit of floorspace, and (3) fuel and technology choices by consumers. Floorspace depends on population, income, and exogenously specified satiation levels. The level of building service demands per unit of floorspace depend on climate, building shell conductivity, income, and satiation levels [http://jgcri.github.io/gcam-doc/energy.html#buildings ~~<nowiki>[1]</nowiki>~~].		GCAM disaggregates the building sector into residential and commercial sectors and models three aggregate services (heating, cooling, and other). Within each region, each type of building and each service starts with a different mix of fuels supplying energy. The future evolution of building energy use is shaped by changes in (1) floorspace, (2) the level of building service per unit of floorspace, and (3) fuel and technology choices by consumers. Floorspace depends on population, income, and exogenously specified satiation levels. The level of building service demands per unit of floorspace depend on climate, building shell conductivity, income, and satiation levels. See the [http://jgcri.github.io/gcam-doc/energy.html#buildings section on buildings] for more information.

Matthew Binsted at 17:21, 19 August 2020

2020-08-19T17:21:43Z

← Older revision		Revision as of 19:21, 19 August 2020
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	}}		}}
	GCAM disaggregates the building sector into residential and commercial sectors and models three aggregate services (heating, cooling, and other). Within each region, each type of building and each service starts with a different mix of fuels supplying energy ~~(see Figure below)~~. The future evolution of building energy use is shaped by changes in (1) floorspace, (2) the level of building service per unit of floorspace, and (3) fuel and technology choices by consumers. Floorspace depends on population, income, and exogenously specified satiation levels. The level of building service demands per unit of floorspace depend on climate, building shell conductivity, income, and satiation levels [http://jgcri.github.io/gcam-doc/energy.html#buildings <nowiki>[1]</nowiki>].		GCAM disaggregates the building sector into residential and commercial sectors and models three aggregate services (heating, cooling, and other). Within each region, each type of building and each service starts with a different mix of fuels supplying energy. The future evolution of building energy use is shaped by changes in (1) floorspace, (2) the level of building service per unit of floorspace, and (3) fuel and technology choices by consumers. Floorspace depends on population, income, and exogenously specified satiation levels. The level of building service demands per unit of floorspace depend on climate, building shell conductivity, income, and satiation levels [http://jgcri.github.io/gcam-doc/energy.html#buildings <nowiki>[1]</nowiki>].

Matthew Binsted at 19:24, 18 August 2020

2020-08-18T19:24:46Z

← Older revision		Revision as of 21:24, 18 August 2020
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	\|DocumentationCategory=Residential and commercial sectors		\|DocumentationCategory=Residential and commercial sectors
	}}		}}
			GCAM disaggregates the building sector into residential and commercial sectors and models three aggregate services (heating, cooling, and other). Within each region, each type of building and each service starts with a different mix of fuels supplying energy (see Figure below). The future evolution of building energy use is shaped by changes in (1) floorspace, (2) the level of building service per unit of floorspace, and (3) fuel and technology choices by consumers. Floorspace depends on population, income, and exogenously specified satiation levels. The level of building service demands per unit of floorspace depend on climate, building shell conductivity, income, and satiation levels [http://jgcri.github.io/gcam-doc/energy.html#buildings <nowiki>[1]</nowiki>].

Rineke Oostenrijk: Rineke Oostenrijk moved page Residential and commercial sectors - GAMS to Residential and commercial sectors - GCAM without leaving a redirect: Text replacement - "GAMS" to "GCAM"

2019-12-17T15:37:57Z

Rineke Oostenrijk moved page Residential and commercial sectors - GAMS to Residential and commercial sectors - GCAM without leaving a redirect: Text replacement - "GAMS" to "GCAM"

← Older revision	Revision as of 17:37, 17 December 2019
(No difference)

Rineke Oostenrijk: Text replacement - "GAMS" to "GCAM"

2019-12-17T15:37:50Z

Text replacement - "GAMS" to "GCAM"

← Older revision		Revision as of 17:37, 17 December 2019
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Rineke Oostenrijk: Edited automatically from page GAMS setup.

2019-12-17T14:28:33Z

Edited automatically from page GAMS setup.

New page

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