Technical Notes
Jan 7, 2016

Identifying High Power–Density Stream Reaches through Refined Geospatial Resolution in Hydropower Resource Assessment

Publication: Journal of Water Resources Planning and Management
Volume 142, Issue 4

Abstract

Aided by the rapid development of multiple geospatial data sets for topography, hydrology, and existing energy-water infrastructures, reconnaissance-level hydropower resource assessment can now be conducted using geospatial models in all regions of the United States. The updated techniques can be used to estimate the total undeveloped hydropower potential across all regions, and they may eventually help to identify additional hydropower resources that were previously overlooked. To enhance the characterization of higher power–density stream reaches, this paper explored how the degree of geospatial resolution affects the identification of hydropower stream reaches, using the geospatial merit matrix–based hydropower resource assessment (GMM-HRA) model. GMM-HRA model simulation was conducted at eight different spatial resolutions on six USGS eight-digit hydrologic units with terrains classified as flat, mild, and steep. The results showed that more hydropower potential from higher power–density stream reaches can be identified with increasing spatial resolution. Both flat and mild terrains exhibited lower impacts from resolution differences than did the steep terrain. The findings indicate that greater care should be taken in selecting the discretization resolution for hydropower resource assessments in future studies.

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Acknowledgments

This research was sponsored by the Wind and Water Power Technologies Office, Office of Energy Efficiency and Renewable Energy of the U.S. Department of Energy (DOE). Support from California State University–Fresno is also acknowledged. This paper was co-authored by employees of Oak Ridge National Laboratory, managed by UT Battelle, under contract DE-AC05-00OR22725 with the U.S. DOE. Accordingly, the publisher, by accepting the article for publication, acknowledges that the U.S. government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for U.S. government purposes. The U.S. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan).

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Published In

Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 142Issue 4April 2016

History

Received: Sep 12, 2014
Accepted: Aug 10, 2015
Published online: Jan 7, 2016
Published in print: Apr 1, 2016
Discussion open until: Jun 7, 2016

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Authors

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M. Fayzul K. Pasha, M.ASCE [email protected]
Assistant Professor, Dept. of Civil and Geomatics Engineering, California State Univ.–Fresno, 2320E. San Ramon Ave. M/S EE94, Fresno, CA 93740 (corresponding author). E-mail: [email protected]
Majntxov Yang
Research Assistant, Dept. of Civil and Geomatics Engineering, California State Univ., Fresno, CA 93740.
Dilruba Yeasmin
Research Scientist, California Water Institute and Center for Irrigation Technology, California State Univ., Fresno, CA 93740.
Sen Saetern
Research Assistant, Dept. of Civil and Geomatics Engineering, California State Univ., Fresno, CA 93740.
Shih-Chieh Kao
Research Scientist, Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831.
Brennan Smith
Program Manager and Group Leader, Energy-Water-Ecosystem Engineering Group, Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831.

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