IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i14p3515-d381710.html
   My bibliography  Save this article

Bio-Inspired Rotor Design Characterization of a Horizontal Axis Wind Turbine

Author

Listed:
  • J. Gaitan-Aroca

    (Engineering Faculty, Universidad de San Buenaventura, Cra. 8H 172-20, Bogotá, Colombia)

  • Fabio Sierra

    (Engineering Faculty, Universidad Nacional de Colombia, Carrera 30 No. 45-03, Bogotá, Colombia)

  • Jose Ulises Castellanos Contreras

    (Engineering Faculty, Universidad Cooperativa de Colombia, Av caracas #63-04, Bogotá, Colombia)

Abstract

In this paper, the performance of a biomimetic wind rotor design inspired by Petrea Volubilis seed is presented. Experimentation for this rotor is configured as a horizontal axis wind turbine (HAWT) and numerical analysis is done in order to obtain performance curves with the open-source computational fluid dynamics (CFD) software OpenFoam®. Numerical analysis and experimental results are compared for power Coefficient (Cp) and thrust coefficient (C T ). The biomimetic rotor analysis is also compared with experimental results exposed by Castañeda et al. (2011), who were the first to develop those experimentations with this new rotor design. Computational fluid dynamics simulations were performed using an incompressible large Edyy simulation (LES) turbulence models with a localized sub-grid scale (SGS) dynamic one-equation eddy-viscosity. A dynamic mesh based on an arbitrary mesh interface (AMI) was used to simulate rotation and to evaluate flow around rotor blades in order to accurately capture the flow field behavior and to obtain global variables that allow to determine the power potential of this wind rotor turbine. This study will show the potential of this new rotor design for wind power generation.

Suggested Citation

  • J. Gaitan-Aroca & Fabio Sierra & Jose Ulises Castellanos Contreras, 2020. "Bio-Inspired Rotor Design Characterization of a Horizontal Axis Wind Turbine," Energies, MDPI, vol. 13(14), pages 1-22, July.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:14:p:3515-:d:381710
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/14/3515/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/13/14/3515/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Peter J. Schubel & Richard J. Crossley, 2012. "Wind Turbine Blade Design," Energies, MDPI, vol. 5(9), pages 1-25, September.
    2. Liu, Yingyi & Yoshida, Shigeo, 2015. "An extension of the Generalized Actuator Disc Theory for aerodynamic analysis of the diffuser-augmented wind turbines," Energy, Elsevier, vol. 93(P2), pages 1852-1859.
    3. Silas Alben & Michael Shelley & Jun Zhang, 2002. "Drag reduction through self-similar bending of a flexible body," Nature, Nature, vol. 420(6915), pages 479-481, December.
    4. Jonathon Sumner & Christophe Sibuet Watters & Christian Masson, 2010. "CFD in Wind Energy: The Virtual, Multiscale Wind Tunnel," Energies, MDPI, vol. 3(5), pages 1-25, May.
    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. Hector G. Parra & Hernan D. Ceron & William Gomez & Elvis E. Gaona, 2023. "Experimental Analysis of Bio-Inspired Vortex Generators on a Blade with S822 Airfoil," Energies, MDPI, vol. 16(12), pages 1-22, June.
    2. Yossri, W. & Ben Ayed, S. & Abdelkefi, A., 2023. "Evaluation of the efficiency of bioinspired blade designs for low-speed small-scale wind turbines with the presence of inflow turbulence effects," Energy, Elsevier, vol. 273(C).

    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. Ali, Qazi Shahzad & Kim, Man-Hoe, 2021. "Design and performance analysis of an airborne wind turbine for high-altitude energy harvesting," Energy, Elsevier, vol. 230(C).
    2. Cognet, V. & Courrech du Pont, S. & Thiria, B., 2020. "Material optimization of flexible blades for wind turbines," Renewable Energy, Elsevier, vol. 160(C), pages 1373-1384.
    3. Nallapaneni Manoj Kumar & Aneesh A. Chand & Maria Malvoni & Kushal A. Prasad & Kabir A. Mamun & F.R. Islam & Shauhrat S. Chopra, 2020. "Distributed Energy Resources and the Application of AI, IoT, and Blockchain in Smart Grids," Energies, MDPI, vol. 13(21), pages 1-42, November.
    4. Anbarsooz, M. & Amiri, M., 2022. "Towards enhancing the wind energy potential at the built environment: Geometry effects of two adjacent buildings," Energy, Elsevier, vol. 239(PD).
    5. Michał Pacholczyk & Dariusz Karkosiński, 2020. "Parametric Study on a Performance of a Small Counter-Rotating Wind Turbine," Energies, MDPI, vol. 13(15), pages 1-17, July.
    6. Unai Elosegui & Igor Egana & Alain Ulazia & Gabriel Ibarra-Berastegi, 2018. "Pitch Angle Misalignment Correction Based on Benchmarking and Laser Scanner Measurement in Wind Farms," Energies, MDPI, vol. 11(12), pages 1-20, December.
    7. Romanic, Djordje & Parvu, Dan & Refan, Maryam & Hangan, Horia, 2018. "Wind and tornado climatologies and wind resource modelling for a modern development situated in “Tornado Alley”," Renewable Energy, Elsevier, vol. 115(C), pages 97-112.
    8. Hussein A. Mahmood & Nor Mariah. Adam & B. B. Sahari & S. U. Masuri, 2017. "New Design of a CNG-H 2 -AIR Mixer for Internal Combustion Engines: An Experimental and Numerical Study," Energies, MDPI, vol. 10(9), pages 1-27, September.
    9. Liu, Xiong & Lu, Cheng & Liang, Shi & Godbole, Ajit & Chen, Yan, 2017. "Vibration-induced aerodynamic loads on large horizontal axis wind turbine blades," Applied Energy, Elsevier, vol. 185(P2), pages 1109-1119.
    10. Yiting Qi & Yu Bai & Xin Cao & Erpeng Li, 2022. "The Deformation and Shear Vortex Width of Flexible Vegetation Roots in an Artificial Floating Bed Channel," Sustainability, MDPI, vol. 14(18), pages 1-14, September.
    11. Shaohui Li & Xuejin Sun & Riwei Zhang & Chuanliang Zhang, 2019. "A Feasibility Study of Simulating the Micro-Scale Wind Field for Wind Energy Applications by NWP/CFD Model with Improved Coupling Method and Data Assimilation," Energies, MDPI, vol. 12(13), pages 1-19, July.
    12. Wiroon Monatrakul & Kritsadang Senawong & Piyawat Sritram & Ratchaphon Suntivarakorn, 2023. "A Comparison Study of Hydro-Compact Generators with Horizontal Spiral Turbines (HSTs) and a Three-Blade Turbine Used in Irrigation Canals," Energies, MDPI, vol. 16(5), pages 1-15, February.
    13. Martín-San-Román, Raquel & Benito-Cia, Pablo & Azcona-Armendáriz, José & Cuerva-Tejero, Alvaro, 2021. "Validation of a free vortex filament wake module for the integrated simulation of multi-rotor wind turbines," Renewable Energy, Elsevier, vol. 179(C), pages 1706-1718.
    14. Shahid Aziz & Abdullah Khan & Imran Shah & Tariq Amin Khan & Yasir Ali & Muhammad Umer Sohail & Badar Rashid & Dong Won Jung, 2022. "Computational Fluid Dynamics and Experimental Analysis of a Wind Turbine Blade’s Frontal Section with and without Arrays of Dimpled Structures," Energies, MDPI, vol. 15(19), pages 1-15, September.
    15. Toja-Silva, Francisco & Lopez-Garcia, Oscar & Peralta, Carlos & Navarro, Jorge & Cruz, Ignacio, 2016. "An empirical–heuristic optimization of the building-roof geometry for urban wind energy exploitation on high-rise buildings," Applied Energy, Elsevier, vol. 164(C), pages 769-794.
    16. Sessarego, Matias & Feng, Ju & Ramos-García, Néstor & Horcas, Sergio González, 2020. "Design optimization of a curved wind turbine blade using neural networks and an aero-elastic vortex method under turbulent inflow," Renewable Energy, Elsevier, vol. 146(C), pages 1524-1535.
    17. Sutrisno & Sigit Iswahyudi & Setyawan Bekti Wibowo, 2018. "Dimensional Analysis of Power Prediction of a Real-Scale Wind Turbine Based on Wind-Tunnel Torque Measurement of Small-Scaled Models," Energies, MDPI, vol. 11(9), pages 1-13, September.
    18. Ebbe Bagge Paulsen & Peter Enevoldsen, 2021. "A Multidisciplinary Review of Recycling Methods for End-of-Life Wind Turbine Blades," Energies, MDPI, vol. 14(14), pages 1-13, July.
    19. Abdel Hameed, Hossam S. & Hashem, Islam & Nawar, Mohamed A.A. & Attai, Youssef A. & Mohamed, Mohamed H., 2023. "Shape optimization of a shrouded Archimedean-spiral type wind turbine for small-scale applications," Energy, Elsevier, vol. 263(PB).
    20. Takanori Uchida & Yuji Ohya, 2011. "Latest Developments in Numerical Wind Synopsis Prediction Using the RIAM-COMPACT ® CFD Model—Design Wind Speed Evaluation and Wind Risk (Terrain-Induced Turbulence) Diagnostics in Japan," Energies, MDPI, vol. 4(3), pages 1-17, March.

    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:13:y:2020:i:14:p:3515-:d:381710. 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.