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A Hydropower Biological Evaluation Toolset (HBET) for Characterizing Hydraulic Conditions and Impacts of Hydro-Structures on Fish

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  • Hongfei Hou

    (Pacific Northwest National Laboratory, Energy & Environment Directorate, Richland, WA 99352, USA
    School of Engineering & Applied Sciences, Washington State University Tri-Cities, 2710 Crimson Way, Richland, WA 99354, USA)

  • Zhiqun Daniel Deng

    (Pacific Northwest National Laboratory, Energy & Environment Directorate, Richland, WA 99352, USA
    Department of Mechanical Engineering, Virginia Tech, Blacksburg, VA 24061, USA)

  • Jayson J. Martinez

    (Pacific Northwest National Laboratory, Energy & Environment Directorate, Richland, WA 99352, USA)

  • Tao Fu

    (Pacific Northwest National Laboratory, Energy & Environment Directorate, Richland, WA 99352, USA)

  • Joanne P. Duncan

    (Pacific Northwest National Laboratory, Energy & Environment Directorate, Richland, WA 99352, USA)

  • Gary E. Johnson

    (Pacific Northwest National Laboratory, Energy & Environment Directorate, Richland, WA 99352, USA)

  • Jun Lu

    (Pacific Northwest National Laboratory, Energy & Environment Directorate, Richland, WA 99352, USA)

  • John R. Skalski

    (School of Aquatic and Fishery Sciences, University of Washington, 1325 Fourth Avenue, Suite 1820, Seattle, WA 98101, USA)

  • Richard L. Townsend

    (School of Aquatic and Fishery Sciences, University of Washington, 1325 Fourth Avenue, Suite 1820, Seattle, WA 98101, USA)

  • Li Tan

    (School of Engineering & Applied Sciences, Washington State University Tri-Cities, 2710 Crimson Way, Richland, WA 99354, USA)

Abstract

Approximately 16% of the world’s electricity and over 80% of the world’s renewable electricity is generated from hydropower resources, and there is potential for developing significantly more new hydropower capacity. In practice, however, optimizing the use of potential hydropower resources is limited by various factors, including environmental effects and related mitigation requirements. That is why hydropower regulatory requirements frequently call for targets to be met regarding fish injury and mortality rates. The sensor fish (SF) is a small autonomous sensor package that can be deployed through complex hydraulic structures, such as a turbine or spillway, to collect high resolution measurements that describe the forces and motions that live fish would encounter. The Hydropower Biological Evaluation Toolset (HBET), an integrated suite of science-based tools, is designed to use the SF (implemented) and other tools (to be implemented in the future) to characterize the hydraulic conditions of hydropower structures and provide quantitative estimates of fish injury and mortality rates resulting from exposure to various physical stressors including strike, pressure, and shear. HBET enables users to design new studies, analyze data, perform statistical analyses, and evaluate biological responses. It can be used by researchers, turbine designers, hydropower operators, and regulators to design and operate hydropower systems that minimize ecological impacts in a cost-effective manner. In this paper, we discuss the technical methodologies and algorithms implemented in HBET and describe a case study that illustrates its functionalities.

Suggested Citation

  • Hongfei Hou & Zhiqun Daniel Deng & Jayson J. Martinez & Tao Fu & Joanne P. Duncan & Gary E. Johnson & Jun Lu & John R. Skalski & Richard L. Townsend & Li Tan, 2018. "A Hydropower Biological Evaluation Toolset (HBET) for Characterizing Hydraulic Conditions and Impacts of Hydro-Structures on Fish," Energies, MDPI, vol. 11(4), pages 1-13, April.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:4:p:990-:d:142057
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    References listed on IDEAS

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    1. Fu, Tao & Deng, Zhiqun Daniel & Duncan, Joanne P. & Zhou, Daqing & Carlson, Thomas J. & Johnson, Gary E. & Hou, Hongfei, 2016. "Assessing hydraulic conditions through Francis turbines using an autonomous sensor device," Renewable Energy, Elsevier, vol. 99(C), pages 1244-1252.
    2. Zhiqun Deng & Thomas J. Carlson & Dennis D. Dauble & Gene R. Ploskey, 2011. "Fish Passage Assessment of an Advanced Hydropower Turbine and Conventional Turbine Using Blade-Strike Modeling," Energies, MDPI, vol. 4(1), pages 1-11, January.
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    1. Martinez, J.J. & Deng, Z.D. & Titzler, P.S. & Duncan, J.P. & Lu, J. & Mueller, R.P. & Tian, C. & Trumbo, B.A. & Ahmann, M.L. & Renholds, J.F., 2019. "Hydraulic and biological characterization of a large Kaplan turbine," Renewable Energy, Elsevier, vol. 131(C), pages 240-249.
    2. Klopries, Elena-Maria & Schüttrumpf, Holger, 2020. "Mortality assessment for adult European eels (Anguilla Anguilla) during turbine passage using CFD modelling," Renewable Energy, Elsevier, vol. 147(P1), pages 1481-1490.
    3. Martinez, Jayson J. & Deng, Zhiqun Daniel & Mueller, Robert & Titzler, Scott, 2020. "In situ characterization of the biological performance of a Francis turbine retrofitted with a modular guide vane," Applied Energy, Elsevier, vol. 276(C).

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