Identifying high energy density stream-reaches through refined geospatial resolution in hydropower resource assessment

Pasha, M. Fayzul K.; Yang, Majntxov; Yeasmin, Dilruba; Saetern, Sen; Kao, Shih -Chieh; Smith, Brennan T.

doi:10.1061/(ASCE)WR.1943-5452.0000599

Title: Identifying high energy density stream-reaches through refined geospatial resolution in hydropower resource assessment

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Abstract

Benefited from the rapid development of multiple geospatial data sets on topography, hydrology, and existing energy-water infrastructures, the reconnaissance level hydropower resource assessment can now be conducted using geospatial models in all regions of the US. Furthermore, the updated techniques can be used to estimate the total undeveloped hydropower potential across all regions, and may eventually help identify further hydropower opportunities that were previously overlooked. To enhance the characterization of higher energy density stream-reaches, this paper explored the sensitivity of geospatial resolution on the identification of hydropower stream-reaches using the geospatial merit matrix based hydropower resource assessment (GMM-HRA) model. GMM-HRA model simulation was conducted with eight different spatial resolutions on six U.S. Geological Survey (USGS) 8-digit hydrologic units (HUC8) located at three different terrains; Flat, Mild, and Steep. The results showed that more hydropower potential from higher energy density stream-reaches can be identified with increasing spatial resolution. Both Flat and Mild terrains exhibited lower impacts compared to the Steep terrain. Consequently, greater attention should be applied when selecting the discretization resolution for hydropower resource assessments in the future study.

Authors:

Pasha, M. Fayzul K. ^[1]; Yang, Majntxov ^[2]; Yeasmin, Dilruba ^[2]; Saetern, Sen ^[2]; Kao, Shih -Chieh ^[3]; Smith, Brennan T. ^[3]

California State Univ.-Fresno, Fresno, CA (United States)
California State Univ., Fresno, CA (United States)
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

Publication Date:: Thu Jan 07 00:00:00 EST 2016

Research Org.:: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

Sponsoring Org.:: USDOE

OSTI Identifier:: 1250404

Grant/Contract Number:: AC05-00OR22725

Resource Type:: Accepted Manuscript

Journal Name:: Journal of Water Resources Planning and Management

Additional Journal Information:: Journal Volume: 142; Journal Issue: 4; Journal ID: ISSN 0733-9496

Publisher:: American Society of Civil Engineers (ASCE)

Country of Publication:: United States

Language:: English

Subject:: 42 ENGINEERING; 13 HYDRO ENERGY

Citation Formats


                    Pasha, M. Fayzul K., Yang, Majntxov, Yeasmin, Dilruba, Saetern, Sen, Kao, Shih -Chieh, and Smith, Brennan T. Identifying high energy density stream-reaches through refined geospatial resolution in hydropower resource assessment.  United States: N. p., 2016. 
Web.  doi:10.1061/(ASCE)WR.1943-5452.0000599.

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                    Pasha, M. Fayzul K., Yang, Majntxov, Yeasmin, Dilruba, Saetern, Sen, Kao, Shih -Chieh, & Smith, Brennan T. Identifying high energy density stream-reaches through refined geospatial resolution in hydropower resource assessment.  United States.  https://doi.org/10.1061/(ASCE)WR.1943-5452.0000599

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                    Pasha, M. Fayzul K., Yang, Majntxov, Yeasmin, Dilruba, Saetern, Sen, Kao, Shih -Chieh, and Smith, Brennan T. Thu .  
"Identifying high energy density stream-reaches through refined geospatial resolution in hydropower resource assessment".  United States.  https://doi.org/10.1061/(ASCE)WR.1943-5452.0000599.  https://www.osti.gov/servlets/purl/1250404.

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@article{osti_1250404,

  title        = {Identifying high energy density stream-reaches through refined geospatial resolution in hydropower resource assessment},

  author       = {Pasha, M. Fayzul K. and Yang, Majntxov and Yeasmin, Dilruba and Saetern, Sen and Kao, Shih -Chieh and Smith, Brennan T.},

  abstractNote = {Benefited from the rapid development of multiple geospatial data sets on topography, hydrology, and existing energy-water infrastructures, the reconnaissance level hydropower resource assessment can now be conducted using geospatial models in all regions of the US. Furthermore, the updated techniques can be used to estimate the total undeveloped hydropower potential across all regions, and may eventually help identify further hydropower opportunities that were previously overlooked. To enhance the characterization of higher energy density stream-reaches, this paper explored the sensitivity of geospatial resolution on the identification of hydropower stream-reaches using the geospatial merit matrix based hydropower resource assessment (GMM-HRA) model. GMM-HRA model simulation was conducted with eight different spatial resolutions on six U.S. Geological Survey (USGS) 8-digit hydrologic units (HUC8) located at three different terrains; Flat, Mild, and Steep. The results showed that more hydropower potential from higher energy density stream-reaches can be identified with increasing spatial resolution. Both Flat and Mild terrains exhibited lower impacts compared to the Steep terrain. Consequently, greater attention should be applied when selecting the discretization resolution for hydropower resource assessments in the future study.},

  doi          = {10.1061/(ASCE)WR.1943-5452.0000599},

  journal      = {Journal of Water Resources Planning and Management},

  number       = 4,

  volume       = 142,

  place        = {United States},

  year         = {Thu Jan 07 00:00:00 EST 2016},

  month        = {Thu Jan 07 00:00:00 EST 2016}

}

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