Gaseous fuels - GCAM: Difference between revisions

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== Gas Processing ==
== Gas Processing ==
The three subsectors of the gas processing sector, and the downstream sectors are described below and in the [http://jgcri.github.io/gcam-doc/energy.html#gas-processing documentation]. Click on each heading to bring you to the corresponding section in the documentation.   
The three subsectors of the gas processing sector, and the downstream sectors are described below and in the [https://jgcri.github.io/gcam-doc/supply_energy.html#gas-processing gas processing] documentation section. See [https://jgcri.github.io/gcam-doc/details_energy.html#gas-processing gas processing details] for an overview of the structure. Click on each heading to bring you to the corresponding section in the documentation.   


=== [http://jgcri.github.io/gcam-doc/energy.html#natural-gas Natural Gas] ===
=== [http://jgcri.github.io/gcam-doc/supply_energy.html#natural-gas Natural Gas] ===
Natural gas accounts for almost 99% of the gaseous fuel production represented in GCAM’s calibration year (2015). The natural gas commodity in GCAM includes all gaseous fuels produced at gas wells, the gaseous co-products from oil production, and gas produced from coal mines and coal seams. The natural gas commodity excludes natural gas liquids, and it excludes gas that is vented, flared, or re-injected. Further information is available in [https://jgcri.github.io/gcam-doc/energy.html#mapping-the-iea-energy-balances Mapping the IEA Energy Balances] and [https://jgcri.github.io/gcam-doc/energy.html#references IEA (2011)].
Natural gas accounts for almost 99% of the gaseous fuel production represented in GCAM’s calibration year (2015). The natural gas commodity in GCAM includes all gaseous fuels produced at gas wells, the gaseous co-products from oil production, and gas produced from coal mines and coal seams. The natural gas commodity excludes natural gas liquids, and it excludes gas that is vented, flared, or re-injected. Further information is available in [https://jgcri.github.io/gcam-doc/details_inputs.html#mapping-the-iea-energy-balances Mapping the IEA Energy Balances] and [https://jgcri.github.io/gcam-doc/supply_energy.html#iea2011 IEA (2011)]. In the gas processing sector, the natural gas technology is assigned an input-output coefficient of 1, as natural gas plant fuel is not a disaggregated flow in the IEA energy balances.


In the gas processing sector, the natural gas technology is assigned an input-output coefficient of 1, as natural gas plant fuel is not a disaggregated flow in the IEA energy balances.
=== [http://jgcri.github.io/gcam-doc/supply_energy.html#coal-gasification Coal Gasification] ===
The GCAM coal gasification technology in historical years represents gas works gas, or town gas, that is produced from coal. It does not include blast furnace gas, coke oven gas, and other coal-derived gaseous fuels that are by-products of other activities, and typically consumed on-site. Many regions produced no coal gas in 2010. In future periods, the technology represents a broader suite of coal gasification processes that are capable of producing a commodity that competes for market share with natural gas.  See [https://jgcri.github.io/gcam-doc/supply_energy.html#linden1976 Linden et al. 1976] for a review of technologies for producing pipeline-grade gaseous fuels from coal.  


=== [http://jgcri.github.io/gcam-doc/energy.html#coal-gasification Coal Gasification] ===
=== [http://jgcri.github.io/gcam-doc/supply_energy.html#biomass-gasification Biomass Gasification] ===
The GCAM coal gasification technology in historical years represents gas works gas, or town gas, that is produced from coal. It does not include blast furnace gas, coke oven gas, and other coal-derived gaseous fuels that are by-products of other activities, and typically consumed on-site. Many regions produced no coal gas in 2010. In future periods, the technology represents a broader suite of coal gasification processes that are capable of producing a commodity that competes for market share with natural gas.  See [https://jgcri.github.io/gcam-doc/energy.html#references Linden et al. 1976] for a review of technologies for producing pipeline-grade gaseous fuels from coal.  
In historical years, biomass gasification, or biogas, is considered to be gases captured from landfills, sludge, and agricultural wastes, that are used to provide heat and power. As with coal gasification, in future periods, biomass gasification is intended to represent a suite of processes that convert biomass feedstocks into pipeline-grade gaseous fuels that can be used by a variety of end users. For a technical description see [https://jgcri.github.io/gcam-doc/supply_energy.html#zwart2006 Zwart et al. 2006].  


=== [http://jgcri.github.io/gcam-doc/energy.html#biomass-gasification Biomass Gasification]  ===
=== [http://jgcri.github.io/gcam-doc/supply_energy.html#gas-pipeline-delivered-gas-and-wholesale-gas Gas Pipeline, Delivered Gas, and Wholesale Gas] ===
In historical years, biomass gasification, or biogas, is considered to be gases captured from landfills, sludge, and agricultural wastes, that are used to provide heat and power. As with coal gasification, in future periods, biomass gasification is intended to represent a suite of processes that convert biomass feedstocks into pipeline-grade gaseous fuels that can be used by a variety of end users. For a technical description see [https://jgcri.github.io/gcam-doc/energy.html#references Zwart et al. 2006].
 
=== [http://jgcri.github.io/gcam-doc/energy.html#gas-pipeline-delivered-gas-and-wholesale-gas Gas Pipeline, Delivered Gas, and Wholesale Gas] ===
The gas pipeline sector explicitly represents the energy consumed by compressors for transmission and distribution of natural gas. Delivered gas and wholesale gas are differentiated in their consumers and therefore cost mark-ups; delivered gas refers to gas used by the buildings and transportation sectors, whereas wholesale gas is used by industrial and energy sector consumers. The historical input-output coefficient of the gas pipeline sector in any region is estimated as the sum of reported pipeline energy consumption, delivered gas, and wholesale gas, divided by the sum of delivered gas and wholesale gas.
The gas pipeline sector explicitly represents the energy consumed by compressors for transmission and distribution of natural gas. Delivered gas and wholesale gas are differentiated in their consumers and therefore cost mark-ups; delivered gas refers to gas used by the buildings and transportation sectors, whereas wholesale gas is used by industrial and energy sector consumers. The historical input-output coefficient of the gas pipeline sector in any region is estimated as the sum of reported pipeline energy consumption, delivered gas, and wholesale gas, divided by the sum of delivered gas and wholesale gas.


== [http://jgcri.github.io/gcam-doc/energy.html#hydrogen Hydrogen] ==
== [http://jgcri.github.io/gcam-doc/supply_energy.html#hydrogen Hydrogen] ==
Hydrogen in GCAM is modeled purely as a future energy commodity; while industrial scale volumes of hydrogen are currently produced (e.g., at oil refineries or ammonia plants), the present-day use of hydrogen is almost entirely for non-energy purposes. Hydrogen is not treated as a fuel in the [https://jgcri.github.io/gcam-doc/energy.html#references IEA Energy Balances IEA 2012], or most other energy statistics. As such, the use of hydrogen as an energy carrier is assumed zero in the base years of GCAM, and starting in 2020 it is allowed to compete for market share supplying heat and power in the industrial sector, and for vehicle fuel in the [https://jgcri.github.io/gcam-doc/energy.html#transportation transportation sector].
Hydrogen is represented as a commodity in future time periods that is available for various energy and industrial processes. Hydrogen is not treated as a fuel in the IEA Energy Balances, [https://jgcri.github.io/gcam-doc/supply_energy.html#iea2019 IEA 2019], or most other energy statistics. As such, the representation excludes the on-site production and use of hydrogen at oil refineries, ammonia plants, and other present-day industrial facilities. The representation of hydrogen in GCAM includes 10 “central” production technologies, as well as 2 “forecourt” (i.e. on-site) production technologies, which may have higher costs due to the economies of scale and higher capacity factors of central production, but the forecourt technologies avoid the costs and energy requirements of distribution. The hydrogen distribution representation differentiates a range of hydrogen commodities whose costs largely reflect the various temperatures and pressures at which hydrogen is transported and stored for different end-use applications. Production technology costs and energy intensities are from the U.S. Department of Energy’s Hydrogen Analysis (H2A) models [https://jgcri.github.io/gcam-doc/supply_energy.html#nrel2018 NREL 2018], and the distribution costs and energy intensities are from Argonne’s Hydrogen Delivery Scenario Analysis Model (HDSAM) [https://jgcri.github.io/gcam-doc/supply_energy.html#anl2015 ANL 2015]. See [https://jgcri.github.io/gcam-doc/details_energy.html#hydrogen hydrogen details] for more information.

Revision as of 20:02, 16 June 2022

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Model Documentation - GCAM

Corresponding documentation
Previous versions
No previous version available
Model information
Model link
Institution Pacific Northwest National Laboratory, Joint Global Change Research Institute (PNNL, JGCRI), USA, https://www.pnnl.gov/projects/jgcri.
Solution concept General equilibrium (closed economy)GCAM solves all energy, water, and land markets simultaneously
Solution method Recursive dynamic solution method
Anticipation GCAM is a dynamic recursive model, meaning that decision-makers do not know the future when making a decision today. After it solves each period, the model then uses the resulting state of the world, including the consequences of decisions made in that period - such as resource depletion, capital stock retirements and installations, and changes to the landscape - and then moves to the next time step and performs the same exercise. For long-lived investments, decision-makers may account for future profit streams, but those estimates would be based on current prices. For some parts of the model, economic agents use prior experience to form expectations based on multi-period experiences.

Gas Processing

The three subsectors of the gas processing sector, and the downstream sectors are described below and in the gas processing documentation section. See gas processing details for an overview of the structure. Click on each heading to bring you to the corresponding section in the documentation.

Natural Gas

Natural gas accounts for almost 99% of the gaseous fuel production represented in GCAM’s calibration year (2015). The natural gas commodity in GCAM includes all gaseous fuels produced at gas wells, the gaseous co-products from oil production, and gas produced from coal mines and coal seams. The natural gas commodity excludes natural gas liquids, and it excludes gas that is vented, flared, or re-injected. Further information is available in Mapping the IEA Energy Balances and IEA (2011). In the gas processing sector, the natural gas technology is assigned an input-output coefficient of 1, as natural gas plant fuel is not a disaggregated flow in the IEA energy balances.

Coal Gasification

The GCAM coal gasification technology in historical years represents gas works gas, or town gas, that is produced from coal. It does not include blast furnace gas, coke oven gas, and other coal-derived gaseous fuels that are by-products of other activities, and typically consumed on-site. Many regions produced no coal gas in 2010. In future periods, the technology represents a broader suite of coal gasification processes that are capable of producing a commodity that competes for market share with natural gas. See Linden et al. 1976 for a review of technologies for producing pipeline-grade gaseous fuels from coal.

Biomass Gasification

In historical years, biomass gasification, or biogas, is considered to be gases captured from landfills, sludge, and agricultural wastes, that are used to provide heat and power. As with coal gasification, in future periods, biomass gasification is intended to represent a suite of processes that convert biomass feedstocks into pipeline-grade gaseous fuels that can be used by a variety of end users. For a technical description see Zwart et al. 2006.

Gas Pipeline, Delivered Gas, and Wholesale Gas

The gas pipeline sector explicitly represents the energy consumed by compressors for transmission and distribution of natural gas. Delivered gas and wholesale gas are differentiated in their consumers and therefore cost mark-ups; delivered gas refers to gas used by the buildings and transportation sectors, whereas wholesale gas is used by industrial and energy sector consumers. The historical input-output coefficient of the gas pipeline sector in any region is estimated as the sum of reported pipeline energy consumption, delivered gas, and wholesale gas, divided by the sum of delivered gas and wholesale gas.

Hydrogen

Hydrogen is represented as a commodity in future time periods that is available for various energy and industrial processes. Hydrogen is not treated as a fuel in the IEA Energy Balances, IEA 2019, or most other energy statistics. As such, the representation excludes the on-site production and use of hydrogen at oil refineries, ammonia plants, and other present-day industrial facilities. The representation of hydrogen in GCAM includes 10 “central” production technologies, as well as 2 “forecourt” (i.e. on-site) production technologies, which may have higher costs due to the economies of scale and higher capacity factors of central production, but the forecourt technologies avoid the costs and energy requirements of distribution. The hydrogen distribution representation differentiates a range of hydrogen commodities whose costs largely reflect the various temperatures and pressures at which hydrogen is transported and stored for different end-use applications. Production technology costs and energy intensities are from the U.S. Department of Energy’s Hydrogen Analysis (H2A) models NREL 2018, and the distribution costs and energy intensities are from Argonne’s Hydrogen Delivery Scenario Analysis Model (HDSAM) ANL 2015. See hydrogen details for more information.