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Title: Hydropower Energy Storage Capacity (HESC) Dataset

Dataset ·
 [1];  [1];  [1]
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

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).

Research Organization:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Water Power Technologies Office
DOE Contract Number:
AC05-00OR22725
OSTI ID:
1972462
Report Number(s):
2
Country of Publication:
United States
Language:
English

References (7)

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
  • Lehner, Bernhard; Liermann, Catherine Reidy; Revenga, Carmen
  • Frontiers in Ecology and the Environment, Vol. 9, Issue 9 https://doi.org/10.1890/100125
journal May 2011

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