Browse data: Variable
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- Application (39)
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Showing below up to 24 results in range #1 to #24.
- Air pollution policy (Air pollution policies set to reach emission reduction targets, represented in the model in the form of energy carrier and sector specific emission factors., type: driver)
- Bioenergy production (Total bioenergy production., type: model (from/to model))
- Carbon price (Carbon price on the international trading market (in USD in 2005 per tonne C-eq) calculated from aggregated regional permit demand and supply curves derived from marginal abatement costs., type: model (from/to model))
- Carbon storage price (The costs of capturing and storing CO2, affecting the use of CCS technology., type: model (from/to model))
- Crop production (Regional production per crop., type: model (from/to model))
- Demand for electricity, heat and hydrogen (The demand for production of electricity, heat and hydrogen., type: model (from/to model))
- Demand for primary energy (Total demand for energy production. Sum of final energy demand and energy inputs into energy conversion processes., type: model (from/to model))
- Energy policy (Policy to achieve energy system objectives, such as energy security and energy access., type: driver)
- Energy resources (Volume of energy resource per carrier, region and supply cost class (determines depletion dynamics)., type: driver)
- Grass requirement (Grass requirement; ruminants (nondairy cattle, dairy cattle, sheep and goats) are grazing animals, and part (in mixed systems) or most (pastoral systems) of their feed is grass, hay or other roughage; this grass requirement is calculated as a fraction of the total energy (feed) requirement., type: model (from/to model))
- Increase in irrigated area - grid (Increase in irrigated area, often based on external projections (e.g., FAO)., type: driver)
- Land cover, land use - grid (Multi-dimensional map describing all aspects of land cover and land use per grid cell, such as type of natural vegetation, crop and grass fraction, crop management, fertiliser and manure input, livestock density., type: model (from/to model))
- Land supply for bioenergy - grid (Land available for sustainable bioenergy production (abandoned agricultural land and non-forested land)., type: model (from/to model))
- Learning rate (Determines the rate of technology development in learning equations., type: driver)
- Management intensity crops (Management intensity crops, expressing actual yield level compared to potential yield. While potential yield is calculated for each grid cell, this parameter is expressed at the regional level. This parameter is based on data and exogenous assumptions - current practice and technological change in agriculture - and is endogenously adapted in the agro-economic model., type: model (from/to model))
- Population - grid (Number of people per gridcell (using downscaling)., type: driver)
- Potential bioenergy yield - grid (Potential yields of bioenergy crops., type: model (from/to model))
- Potential crop and grass yield - grid (Potential crop and grass yield, changing over time due to climate change and possibly soil degradation. In some components, i.e. 'Agricultural economy' regional aggregations of the dataset which depend on the actual land-use area, are used., type: model (from/to model))
- Primary energy price (The price of primary energy carriers based on production costs., type: model (from/to model))
- Protected area - grid (Map of protected nature areas, limiting use of this area., type: driver)
- River discharge - grid (Average flow of water through each grid cell., type: model (from/to model))
- Technology development of energy conversion (Learning curves and exogenous learning that determine technology development., type: driver)
- Technology development of energy supply (Learning curves and exogenous learning that determine technology development., type: driver)
- Trade restriction (Trade tariffs and barriers limiting trade in energy carriers (in energy submodel)., type: driver)