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Forty-year hydropower generation reanalysis for Conterminous United States
Sean W D Turner1, Debjani Singh2, Carly Hansen2
1Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA. turnersw@ornl.gov.
The RectifHydPlus dataset offers enhanced hydropower generation estimates for US plants, including hydrological controls and daily water release data. This improves historical analysis of water availability
Area of Science:
- Hydrology
- Energy Systems
- Climate Science
Background:
- Existing industrial surveys provide limited monthly hydropower generation data, covering only ~10% of plants post-2003.
- The previous RectifHyd dataset offered hydrologically consistent monthly estimates for ~1,500 US hydropower plants.
- There is a need for more comprehensive and temporally resolved hydropower generation data, incorporating hydrological influences.
Purpose of the Study:
- To present RectifHydPlus, an extended and enhanced dataset building upon RectifHyd.
- To provide updated historical monthly generation estimates for 590 US hydropower plants (>10 MW capacity) from 1980-2019.
- To introduce a hydrological control dataset and daily water release time series to analyze water availability impacts on generation.
Main Methods:
- Improved proxy information and temporal downscaling methodology compared to RectifHyd.
- Development of a hydrological control dataset to isolate water availability effects.
- Generation of forty-year, daily-resolution, spill-adjusted water release time series for each dam.
Main Results:
- RectifHydPlus provides updated monthly generation estimates for 590 hydropower plants (1980-2019).
- The dataset includes a new hydrological control dataset reflecting historical climate variability.
- Daily-resolution, spill-adjusted water release data is available for all included dams.
Conclusions:
- RectifHydPlus enhances the understanding of historical hydropower generation influenced by water availability.
- The dataset supports applications analyzing contemporary fleet capabilities under historical climate variability.
- Provides granular data for diverse temporal resolution aggregation needs in hydropower research.
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