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Banki-Michell Optimal Design by Computational Fluid Dynamics Testing and Hydrodynamic Analysis

Author

Listed:
  • Vincenzo Sammartano

    (Department of Civil, Environmental, Aerospace and Materials Engineering, University of Palermo, Viale delle Scienze, Edificio 8, 90128 Palermo, Italy)

  • Costanza Aricò

    (Department of Civil, Environmental, Aerospace and Materials Engineering, University of Palermo, Viale delle Scienze, Edificio 8, 90128 Palermo, Italy)

  • Armando Carravetta

    (Department of Civil, Structure and Environmental Engineering, University of Naples Federico II, Via Claudio 21, 80125 Naples, Italy)

  • Oreste Fecarotta

    (Department of Civil, Structure and Environmental Engineering, University of Naples Federico II, Via Claudio 21, 80125 Naples, Italy)

  • Tullio Tucciarelli

    (Department of Civil, Environmental, Aerospace and Materials Engineering, University of Palermo, Viale delle Scienze, Edificio 8, 90128 Palermo, Italy)

Abstract

In hydropower, the exploitation of small power sources requires the use of small turbines that combine efficiency and economy. Banki-Michell turbines represent a possible choice for their simplicity and for their good efficiency under variable load conditions. Several experimental and numerical tests have already been designed for examining the best geometry and optimal design of cross-flow type machines, but a theoretical framework for a sequential design of the turbine parameters, taking full advantage of recently expanded computational capabilities, is still missing. To this aim, after a review of the available criteria for Banki-Michell parameter design, a novel two-step procedure is described. In the first step, the initial and final blade angles, the outer impeller diameter and the shape of the nozzle are selected using a simple hydrodynamic analysis, based on a very strong simplification of reality. In the second step, the inner diameter, as well as the number of blades and their shape, are selected by testing single options using computational fluid dynamics (CFD) simulations, starting from the suggested literature values. Good efficiency is attained not only for the design discharge, but also for a large range of variability around the design value.

Suggested Citation

  • Vincenzo Sammartano & Costanza Aricò & Armando Carravetta & Oreste Fecarotta & Tullio Tucciarelli, 2013. "Banki-Michell Optimal Design by Computational Fluid Dynamics Testing and Hydrodynamic Analysis," Energies, MDPI, vol. 6(5), pages 1-24, April.
    • Handle: RePEc:gam:jeners:v:6:y:2013:i:5:p:2362-2385:d:25367
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    References listed on IDEAS

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    1. Hosseini, S. M. H. & Forouzbakhsh, F. & Rahimpoor, M., 2005. "Determination of the optimal installation capacity of small hydro-power plants through the use of technical, economic and reliability indices," Energy Policy, Elsevier, vol. 33(15), pages 1948-1956, October.
    2. Armando Carravetta & Giuseppe Del Giudice & Oreste Fecarotta & Helena M. Ramos, 2013. "PAT Design Strategy for Energy Recovery in Water Distribution Networks by Electrical Regulation," Energies, MDPI, vol. 6(1), pages 1-14, January.
    3. Armando Carravetta & Giuseppe Del Giudice & Oreste Fecarotta & Helena Ramos, 2012. "Energy Production in Water Distribution Networks: A PAT Design Strategy," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(13), pages 3947-3959, October.
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    6. Ram Adhikari & David Wood, 2018. "The Design of High Efficiency Crossflow Hydro Turbines: A Review and Extension," Energies, MDPI, vol. 11(2), pages 1-18, January.
    7. Jiyun, Du & Hongxing, Yang & Zhicheng, Shen & Xiaodong, Guo, 2018. "Development of an inline vertical cross-flow turbine for hydropower harvesting in urban water supply pipes," Renewable Energy, Elsevier, vol. 127(C), pages 386-397.
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    9. Venturini, Mauro & Manservigi, Lucrezia & Alvisi, Stefano & Simani, Silvio, 2018. "Development of a physics-based model to predict the performance of pumps as turbines," Applied Energy, Elsevier, vol. 231(C), pages 343-354.
    10. Weerakoon, A.H. Samitha & Kim, Byung-Ha & Cho, Young-Jin & Prasad, Deepak Divashkar & Ahmed, M. Rafiuddin & Lee, Young-Ho, 2021. "Design optimization of a novel vertical augmentation channel housing a cross-flow turbine and performance evaluation as a wave energy converter," Renewable Energy, Elsevier, vol. 180(C), pages 1300-1314.
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    12. Jiyun, Du & Zhicheng, Shen & Hongxing, Yang, 2018. "Numerical study on the impact of runner inlet arc angle on the performance of inline cross-flow turbine used in urban water mains," Energy, Elsevier, vol. 158(C), pages 228-237.
    13. Ram Chandra Adhikari & Jerson Vaz & David Wood, 2016. "Cavitation Inception in Crossflow Hydro Turbines," Energies, MDPI, vol. 9(4), pages 1-12, March.
    14. Du, Jiyun & Shen, Zhicheng & Yang, Hongxing, 2018. "Effects of different block designs on the performance of inline cross-flow turbines in urban water mains," Applied Energy, Elsevier, vol. 228(C), pages 97-107.
    15. Mehr, Goodarz & Durali, Mohammad & Khakrand, Mohammad Hadi & Hoghooghi, Hadi, 2021. "A novel design and performance optimization methodology for hydraulic Cross-Flow turbines using successive numerical simulations," Renewable Energy, Elsevier, vol. 169(C), pages 1402-1421.
    16. Sinagra, Marco & Aricò, Costanza & Tucciarelli, Tullio & Morreale, Gabriele, 2020. "Experimental and numerical analysis of a backpressure Banki inline turbine for pressure regulation and energy production," Renewable Energy, Elsevier, vol. 149(C), pages 980-986.
    17. Endashaw Tesfaye Woldemariam & Hirpa G. Lemu & G. Gary Wang, 2018. "CFD-Driven Valve Shape Optimization for Performance Improvement of a Micro Cross-Flow Turbine," Energies, MDPI, vol. 11(1), pages 1-18, January.
    18. 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).
    19. Hong-Goo Kang & Young-Ho Lee & Chan-Joo Kim & Hyo-Dong Kang, 2022. "Design Optimization of a Cross-Flow Air Turbine for an Oscillating Water Column Wave Energy Converter," Energies, MDPI, vol. 15(7), pages 1-15, March.

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