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Title: Hydropower Energy Storage Capacity (HESC) Dataset

Abstract

The Hydropower Energy Storage Capacity (HESC) Dataset catalogs characteristics that are relevant to evaluating reservoir storage and estimates of energy storage capacity based on varying levels of detail. Hydropower dams and reservoirs were included based on information from the National Inventory of Dams (NID; USACE, 2021) and Global Reservoir and Dam (GRanD v1.3) and Existing Hydropower Assets datasets. These data provide a foundation for understanding available resources at existing hydropower facilities and their potential to provide storage of energy and more flexible generation. Estimates of energy storage capacity include: • Level 1 – nominal energy storage capacity based on maximum storage capacities and hydraulic head • Level 2 – nominal energy storage capacity based on historical models or observations of reservoir volume and hydraulic head. These estimates are provided based on capacity from the entire historical period as well as monthly values. • Level 3 – modeled energy generation based on volume-elevation relationships, historical storage, observed/modeled inflows, and hydraulic capacity of turbines and calculated both as overall and on a monthly basis. • Level 4 – modeled energy generation incorporating information from Level 3 and operational constraints. For facilities where installed capacity is known, there are also estimates for dischargemore » duration (the length of time when a facility could provide generation at a given capacity).« less

Authors:
; ;
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Publication Date:
Other Number(s):
2
DOE Contract Number:  
AC05-00OR22725
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Water Power Technologies Office
Subject:
13 HYDRO ENERGY
OSTI Identifier:
1972462
DOI:
https://doi.org/10.21951/HESC/1972462

Citation Formats

Hansen, Carly, Ghimire, Ganesh, and Matson, Paul. Hydropower Energy Storage Capacity (HESC) Dataset. United States: N. p., 2023. Web. doi:10.21951/HESC/1972462.
Hansen, Carly, Ghimire, Ganesh, & Matson, Paul. Hydropower Energy Storage Capacity (HESC) Dataset. United States. doi:https://doi.org/10.21951/HESC/1972462
Hansen, Carly, Ghimire, Ganesh, and Matson, Paul. 2023. "Hydropower Energy Storage Capacity (HESC) Dataset". United States. doi:https://doi.org/10.21951/HESC/1972462. https://www.osti.gov/servlets/purl/1972462. Pub date:Mon May 01 00:00:00 EDT 2023
@article{osti_1972462,
title = {Hydropower Energy Storage Capacity (HESC) Dataset},
author = {Hansen, Carly and Ghimire, Ganesh and Matson, Paul},
abstractNote = {The Hydropower Energy Storage Capacity (HESC) Dataset catalogs characteristics that are relevant to evaluating reservoir storage and estimates of energy storage capacity based on varying levels of detail. Hydropower dams and reservoirs were included based on information from the National Inventory of Dams (NID; USACE, 2021) and Global Reservoir and Dam (GRanD v1.3) and Existing Hydropower Assets datasets. These data provide a foundation for understanding available resources at existing hydropower facilities and their potential to provide storage of energy and more flexible generation. Estimates of energy storage capacity include: • Level 1 – nominal energy storage capacity based on maximum storage capacities and hydraulic head • Level 2 – nominal energy storage capacity based on historical models or observations of reservoir volume and hydraulic head. These estimates are provided based on capacity from the entire historical period as well as monthly values. • Level 3 – modeled energy generation based on volume-elevation relationships, historical storage, observed/modeled inflows, and hydraulic capacity of turbines and calculated both as overall and on a monthly basis. • Level 4 – modeled energy generation incorporating information from Level 3 and operational constraints. For facilities where installed capacity is known, there are also estimates for discharge duration (the length of time when a facility could provide generation at a given capacity).},
doi = {10.21951/HESC/1972462},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon May 01 00:00:00 EDT 2023},
month = {Mon May 01 00:00:00 EDT 2023}
}

Works referenced in this record:

Estimating the volume and age of water stored in global lakes using a geo-statistical approach
journal, December 2016


Hydropower reservoir data in the CONUS
dataset, January 2020


Existing Hydropower Assets Plant Dataset FY22
dataset, January 2022


ResOpsUS, a dataset of historical reservoir operations in the contiguous United States
journal, February 2022


Insights From Dayflow: A Historical Streamflow Reanalysis Dataset for the Conterminous United States
journal, January 2023


Water storage and release policies for all large reservoirs of conterminous United States
journal, December 2021


High‐resolution mapping of the world's reservoirs and dams for sustainable river‐flow management
journal, May 2011

  • Lehner, Bernhard; Liermann, Catherine Reidy; Revenga, Carmen
  • Frontiers in Ecology and the Environment, Vol. 9, Issue 9
  • https://doi.org/10.1890/100125