IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v4y2011i1p57-67d10803.html
   My bibliography  Save this article

Fish Passage Assessment of an Advanced Hydropower Turbine and Conventional Turbine Using Blade-Strike Modeling

Author

Listed:
  • Zhiqun Deng

    (Pacific Northwest National Laboratory, P.O. Box 999, Richland, WA 99352, USA)

  • Thomas J. Carlson

    (Pacific Northwest National Laboratory, P.O. Box 999, Richland, WA 99352, USA)

  • Dennis D. Dauble

    (Pacific Northwest National Laboratory, P.O. Box 999, Richland, WA 99352, USA)

  • Gene R. Ploskey

    (Pacific Northwest National Laboratory, P.O. Box 999, Richland, WA 99352, USA)

Abstract

Hydropower is the largest renewable energy source in the world. However, in the Columbia and Snake River basins, several species of Pacific salmon and steelhead have been listed for protection under the Endangered Species Act due to significant declines of fish population. Dam operators and design engineers are thus faced with the task of making hydroelectric facilities more fish friendly through changes in hydro-turbine design and operation. Public Utility District No. 2 of Grant County, Washington, applied for relicensing from the U.S. Federal Energy Regulatory Commission to replace the 10 turbines at Wanapum Dam with advanced hydropower turbines that were designed to increase power generation and improve fish passage conditions. We applied both deterministic and stochastic blade-strike models to compare fish passage performance of the newly installed advanced turbine to an existing turbine. Modeled probabilities were compared to the results of a large-scale live-fish survival study and a Sensor Fish study under the same operational parameters. Overall, injury rates predicted by the deterministic model were higher than experimental rates of injury, while those predicted by the stochastic model were in close agreement with experimental results. Fish orientation at the time of entry into the plane of the leading edges of the turbine runner blades was an important factor contributing to uncertainty in modeled results. The advanced design turbine had slightly higher modeled injury rates than the existing turbine design; however, no statistical evidence suggested significant differences in blade-strike injuries between the two turbines, thus the hypothesis that direct fish survival rate through the advanced hydropower turbine is equal to or higher than that for fish passing through the conventional turbine could not be rejected.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:4:y:2011:i:1:p:57-67:d:10803
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/4/1/57/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/4/1/57/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Deng, Zhiqun & Carlson, Thomas J. & Ploskey, Gene R. & Richmond, Marshall C. & Dauble, Dennis D., 2007. "Evaluation of blade-strike models for estimating the biological performance of Kaplan turbines," Ecological Modelling, Elsevier, vol. 208(2), pages 165-176.
    2. Wang, Yuankun & Xia, Ziqiang, 2009. "Assessing spawning ground hydraulic suitability for Chinese sturgeon (Acipenser sinensis) from horizontal mean vorticity in Yangtze River," Ecological Modelling, Elsevier, vol. 220(11), pages 1443-1448.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. Linda Vikström & Kjell Leonardsson & Johan Leander & Samuel Shry & Olle Calles & Gustav Hellström, 2020. "Validation of Francis–Kaplan Turbine Blade Strike Models for Adult and Juvenile Atlantic Salmon (Salmo Salar, L.) and Anadromous Brown Trout (Salmo Trutta, L.) Passing High Head Turbines," Sustainability, MDPI, vol. 12(16), pages 1-13, August.
    3. Zhu, Guojun & Guo, Yuxing & Feng, Jianjun & Gao, Luhan & Wu, Guangkuan & Luo, Xingqi, 2022. "Analysis and reduction of the pressure and shear damage probability of fish in a Francis turbine," Renewable Energy, Elsevier, vol. 199(C), pages 462-473.
    4. 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.
    5. Knott, Josef & Mueller, Melanie & Pander, Joachim & Geist, Juergen, 2023. "Ecological assessment of the world's first shaft hydropower plant," Renewable and Sustainable Energy Reviews, Elsevier, vol. 187(C).
    6. Li, Gang & Zhu, Weidong, 2023. "Tidal current energy harvesting technologies: A review of current status and life cycle assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 179(C).
    7. Quan Jiang & Xiating Feng, 2011. "Intelligent Stability Design of Large Underground Hydraulic Caverns: Chinese Method and Practice," Energies, MDPI, vol. 4(10), pages 1-21, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Linda Vikström & Kjell Leonardsson & Johan Leander & Samuel Shry & Olle Calles & Gustav Hellström, 2020. "Validation of Francis–Kaplan Turbine Blade Strike Models for Adult and Juvenile Atlantic Salmon (Salmo Salar, L.) and Anadromous Brown Trout (Salmo Trutta, L.) Passing High Head Turbines," Sustainability, MDPI, vol. 12(16), pages 1-13, August.
    2. Zhu, Guojun & Guo, Yuxing & Feng, Jianjun & Gao, Luhan & Wu, Guangkuan & Luo, Xingqi, 2022. "Analysis and reduction of the pressure and shear damage probability of fish in a Francis turbine," Renewable Energy, Elsevier, vol. 199(C), pages 462-473.
    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).
    4. Singh, Rajesh K. & Romero-Gomez, Pedro & Colotelo, Alison H. & Perkins, William A. & Richmond, Marshall C., 2022. "Computational studies of hydraulic stressors for biological performance assessment in a hydropower plant with Kaplan turbine," Renewable Energy, Elsevier, vol. 199(C), pages 768-781.
    5. 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.
    6. 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.
    7. Li, Weiming & Chen, Qiuwen & Cai, Desuo & Li, Ruonan, 2015. "Determination of an appropriate ecological hydrograph for a rare fish species using an improved fish habitat suitability model introducing landscape ecology index," Ecological Modelling, Elsevier, vol. 311(C), pages 31-38.
    8. Phoevos (Foivos) Koukouvinis & John Anagnostopoulos, 2023. "State of the Art in Designing Fish-Friendly Turbines: Concepts and Performance Indicators," Energies, MDPI, vol. 16(6), pages 1-25, March.
    9. Yi, Yujun & Wang, Zhaoyin & Yang, Zhifeng, 2010. "Two-dimensional habitat modeling of Chinese sturgeon spawning sites," Ecological Modelling, Elsevier, vol. 221(5), pages 864-875.
    10. Yang, Chunxia & Li, Qian & Hu, Xueyuan & Zheng, Yuan & Wu, Jiawei & Su, Shengzhi & Yu, An, 2023. "Fish injury analysis and flip-blade type optimization design of an undershot waterwheel," Renewable Energy, Elsevier, vol. 219(P1).
    11. Yao, Weiwei, 2021. "Ecohydraulic tools for aquatic fauna habitat and population status assessment, analysis and monitoring aimed at promoting integrated river management," Ecological Modelling, Elsevier, vol. 456(C).
    12. Ak, Mümtaz & Kentel, Elçin & Kucukali, Serhat, 2017. "A fuzzy logic tool to evaluate low-head hydropower technologies at the outlet of wastewater treatment plants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 727-737.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:4:y:2011:i:1:p:57-67:d:10803. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.