Difference between revisions of "Energy supply/Description"
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==Other renewable energy== | ==Other renewable energy== | ||
The potential supply of renewable energy (wind, solar and bio-energy) is estimated in a generic way ([[Hoogwijk, 2004]]; [[De Vries et al., 2007]]): | The potential supply of renewable energy (wind, solar and bio-energy) is estimated in a generic way ([[Hoogwijk, 2004]]; [[De Vries et al., 2007]]): | ||
| − | # First, the relevant physical and geographical data for the regions considered are collected on a 0.5 by 0.5 degree grid. The characteristics of wind speed, insulation and monthly variation are taken from the digital database constructed by the Climate Research Unit ([[New et al., 1997]]). Land use information for energy crops is taken from the IMAGE land use model. | + | # First, the relevant physical and geographical data for the regions considered are collected on a 0.5 by 0.5 degree grid. The characteristics of wind speed, insulation and monthly variation are taken from the digital database constructed by the Climate Research Unit ([[New et al., 1997]]). Land use information for energy crops is taken from the [[Land cover and use|IMAGE land use model]]. |
# Subsequently, the model assesses which part of the grid cell can be used for energy production, given its physical–geographical (terrain, habitation) and socio-geographical (location, acceptability) characteristics. This leads to an estimate of the geographical potential. Several of these factors are scenario-dependent. The geographical potential of biomass production from energy crops is estimated using suitability/availability factors accounting for competing land-use options and the harvested rain-fed yield of energy crops. | # Subsequently, the model assesses which part of the grid cell can be used for energy production, given its physical–geographical (terrain, habitation) and socio-geographical (location, acceptability) characteristics. This leads to an estimate of the geographical potential. Several of these factors are scenario-dependent. The geographical potential of biomass production from energy crops is estimated using suitability/availability factors accounting for competing land-use options and the harvested rain-fed yield of energy crops. | ||
# Because only part of the energy can be extracted in the form of secondary energy carriers (fuel, electricity), due to limited conversion efficiency and maximum power density, part of the geographical potential cannot be used. This result of accounting for these conversion efficiencies is called the technical potential. | # Because only part of the energy can be extracted in the form of secondary energy carriers (fuel, electricity), due to limited conversion efficiency and maximum power density, part of the geographical potential cannot be used. This result of accounting for these conversion efficiencies is called the technical potential. | ||
# The final step is to relate this technical potential to on-site production costs. Information at grid level is then sorted and used as supply cost curves, to reflect the assumption that the lowest cost locations are exploited first. Supply cost curves are used dynamically and change over time as a result of the learning effect. | # The final step is to relate this technical potential to on-site production costs. Information at grid level is then sorted and used as supply cost curves, to reflect the assumption that the lowest cost locations are exploited first. Supply cost curves are used dynamically and change over time as a result of the learning effect. | ||
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Revision as of 16:57, 9 December 2013
Parts of Energy supply/Description
Contents
| Component is implemented in: |
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| Related IMAGE components |
| Projects/Applications |
| Key publications |
| References |
