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Title: Vision Road Map Reference Database

Abstract

Much research is being conducted at national laboratories and industry with the aim of advancing the field of hydropower. However, there is no quantifiable way to identify where these efforts overlap and where they fall short. The authors of this database and associated report have created a database and categorization structure that classifies hydropower-focused activities and allows end users to submit queries to obtain information regarding research being conducted across various hydropower institutions. This effort includes 2,023 database reports classified using the Hydropower Vision Roadmap (RM) structure.

Authors:
; ;
  1. ORNL
Publication Date:
DOE Contract Number:  
AC05-00OR22725
Research Org.:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Water Power Technologies Office (EE-4WP)
Subject:
Vision, HydroSource
OSTI Identifier:
1492922
DOI:
https://doi.org/10.21951/VisionRoadMapData_V1/1492922

Citation Formats

Curd, Shelaine, Brink, Rebecca, and Stewart, Kevin. Vision Road Map Reference Database. United States: N. p., 2019. Web. doi:10.21951/VisionRoadMapData_V1/1492922.
Curd, Shelaine, Brink, Rebecca, & Stewart, Kevin. Vision Road Map Reference Database. United States. doi:https://doi.org/10.21951/VisionRoadMapData_V1/1492922
Curd, Shelaine, Brink, Rebecca, and Stewart, Kevin. 2019. "Vision Road Map Reference Database". United States. doi:https://doi.org/10.21951/VisionRoadMapData_V1/1492922. https://www.osti.gov/servlets/purl/1492922. Pub date:Fri Feb 01 04:00:00 UTC 2019
@article{osti_1492922,
title = {Vision Road Map Reference Database},
author = {Curd, Shelaine and Brink, Rebecca and Stewart, Kevin},
abstractNote = {Much research is being conducted at national laboratories and industry with the aim of advancing the field of hydropower. However, there is no quantifiable way to identify where these efforts overlap and where they fall short. The authors of this database and associated report have created a database and categorization structure that classifies hydropower-focused activities and allows end users to submit queries to obtain information regarding research being conducted across various hydropower institutions. This effort includes 2,023 database reports classified using the Hydropower Vision Roadmap (RM) structure.},
doi = {10.21951/VisionRoadMapData_V1/1492922},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Feb 01 04:00:00 UTC 2019},
month = {Fri Feb 01 04:00:00 UTC 2019}
}