Integrating Climate Model Data into Power System Planning
Significant multiyear and multi decade variations in intermittent renewable resources hold major implications for power system investments. They have been using extensive hydrology data for many years to represent hydrological risks in their planni...
| Main Authors: | , |
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| Format: | Brief |
| Language: | English en_US |
| Published: |
World Bank, Washington, DC
2015
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| Subjects: | |
| Online Access: | http://documents.worldbank.org/curated/en/2015/01/24381669/integrating-climate-model-data-power-system-planning http://hdl.handle.net/10986/21764 |
| Summary: | Significant multiyear and multi decade
variations in intermittent renewable resources hold major
implications for power system investments. They have been
using extensive hydrology data for many years to represent
hydrological risks in their planning. Climate model data are
particularly suited for the assessment of longer-term
variability. A good grasp of seasonal, multiyear, and multi
decade trends is essential in assessing the economic merits
of investments in renewable resources and the extent to
which such resources can complement one other or may need to
be backed up by further investments in nonrenewable sources.
For instance, planners of hydro-dominated systems have
learned to use risk-based criteria such as so-called
1-in-50-year drought coverage to deal with the risk posed by
extremely dry years. That climate models can provide
scenarios over several decades makes them equally applicable
to wind and solar planning. Good-quality data generated by
climate models - both historical and projected over decades
are available for all countries at little or no cost. Such
data can and should form part of power system planning,
complementing more detailed, but expensive, renewable energy
resource mapping and actual observations and measurements of
wind, solar, and hydro power. |
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