Hourly flow data from hydropower facilities in CONUS
Authors: | |
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Owners: | Adrienne M Marshall |
Type: | Resource |
Storage: | The size of this resource is 565.5 MB |
Created: | Jun 22, 2021 at 10:05 p.m. |
Last updated: | Jul 28, 2022 at 10:24 p.m. (Metadata update) |
Published date: | Jul 13, 2022 at 9:32 p.m. |
DOI: | 10.4211/hs.aadf2681d15f48748d49c1533d117e9e |
Citation: | See how to cite this resource |
Sharing Status: | Published |
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Views: | 1577 |
Downloads: | 55 |
+1 Votes: | 1 other +1 this |
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Abstract
This data resource supports Marshall & Grubert (2021). The study presents operational hydropower parameters calculated based on six years of hourly data from 158 dams, and estimates power generation in these hours based on monthly hydropower generation data reported to the Energy Information Administration (EIA). More details on calculated parameters are available in the associated manuscript. The data are distributed as a Shiny application. The application can be run locally by downloading the data package, accessed at: https://adrienne-marshall.shinyapps.io/hydropower/, or users can use the data included for their own analyses (further documentation in the readme.md further down this page).
References:
Marshall, A. M., & Grubert, E. (2022). Hydroelectricity modeling for low-carbon and no-carbon grids: Empirical operational parameters for optimization and dispatch models. Earth’s Future, n/a(n/a), e2021EF002503. https://doi.org/10.1029/2021EF002503
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This resource is referenced by | Marshall, A.M., Grubert, E. Hydroelectricity modeling for low-carbon and no-carbon grids: Empirical operational parameters for optimization and dispatch models. In press at Earth's Future. |
Credits
Funding Agencies
This resource was created using funding from the following sources:
Agency Name | Award Title | Award Number |
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Carnegie Institution of Washington |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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