Technical Papers
Jan 5, 2018

Multiobjective Functions to Identify the High-Power-Density Stream Reaches in Hydropower Resource Assessment

Publication: Journal of Water Resources Planning and Management
Volume 144, Issue 3

Abstract

A hydropower resource assessment (HRA) can be considered a reconnaissance survey in which the total hydropower potential in a region is quantified. Hydropower potential for purposes of this paper is defined as the potential power that can be extracted from a reservoir. A product of mean annual streamflow flowing in a stream reach and the hydraulic head in a potential reservoir to be constructed in the stream reach with turbine efficiency and unit weight of water determines the power potential. Traditionally, an HRA considered only hydrologic and hydraulic information to quantify the total hydropower potential in a region. With the advancements in computational technology, the HRA can be enriched with geospatial environmental information. This additional information can help to identify the potential stream reaches and their rank for future hydropower development in a region. This paper considers three different types of information, and hence, three criteria, including (1) hydrologic and hydraulic information; (2) environmental information; and (3) combined hydrologic and hydraulic and environmental information to search for potential stream reaches. A methodology was proposed to identify the high-power-density sites for potential development using these three criteria. The methodology was tested to a USGS subbasin in the state of California. The impacts of the criteria on potential site identification are clearly observed in the results.

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Acknowledgments

This research was sponsored by the U.S. Department of Energy’s Office of Energy Efficiency and Renewable Energy, Wind and Water Power Technologies Program. Support from California State University, Fresno, is also acknowledged.

Disclaimer

This manuscript has been coauthored by employees of Oak Ridge National Laboratory, managed by UT Battelle, LLC, under contract DE-AC05-00OR22725 with the U.S. DOE. The U.S. Government retains, and 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 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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Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 144Issue 3March 2018

History

Received: Aug 26, 2016
Accepted: Sep 1, 2017
Published online: Jan 5, 2018
Published in print: Mar 1, 2018
Discussion open until: Jun 5, 2018

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Authors

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M. Fayzul K. Pasha, M.ASCE [email protected]
Associate Professor, Dept. of Civil and Geomatics Engineering, California State Univ., 2320 E. San Ramon Ave., M/S EE94, Fresno, CA 93740 (corresponding author). E-mail: [email protected]
Dilruba Yeasmin
Research Scientist, Center for Irrigation Technology, California Water Institute, California State Univ., Fresno, CA 93740.
Majntxov Yang
Research Assistant, Dept. of Civil and Geomatics Engineering, California State Univ., Fresno, CA 93740.
Landon Rowan
Research Assistant, Dept. of Civil and Geomatics Engineering, California State Univ., Fresno, CA 93740.
Brennan Smith
Program Manager and Group Leader, Energy-Water-Ecosystem Engineering Group, Environmental Sciences Division, Oak Ridge National Laboratory, 1 Bethel Valley Rd., Bldg. 1505/Rm 356/MS 6038, Oak Ridge, TN 37831.

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