IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v140y2017ip1p1198-1215.html
   My bibliography  Save this article

Aeroacoustic and aerodynamic optimization of a MW class HAWT using MOPSO algorithm

Author

Listed:
  • Kaviani, H.
  • Nejat, A.

Abstract

In this paper, results of WindPACT 1.5 MW baseline horizontal axes wind turbine aeroacoustic and aerodynamic optimization are presented. For this purpose, the blade twist, the chord distribution, the airfoils for all sections, and the rotational speed are optimized with Multi-Objective Particle Swarm Optimization (MOPSO) algorithm. The geometric class/shape function transformation technique and Bézier curve are used for geometry parameterization. Improved blade element momentum theory and Brooks, Pope and Marcolini semi-empirical methods are implemented for wind turbine power and aeroacoustic noise calculation in the optimization procedure. MOPSO parametric study is conducted to increase both robustness and speed of the optimization cycle. Optimization objective functions are power output and overall average sound pressure level. After optimization, improved delayed detached eddy simulation is employed to verify the new wind turbine output power and noise sources. The noise propagation to the far field is calculated with the Ffowcs Williams and Hawkings acoustic analogy. Results show about 1 dB noise reduction as well as 6% power increment for the optimized WindPACT wind turbine.

Suggested Citation

  • Kaviani, H. & Nejat, A., 2017. "Aeroacoustic and aerodynamic optimization of a MW class HAWT using MOPSO algorithm," Energy, Elsevier, vol. 140(P1), pages 1198-1215.
    • Handle: RePEc:eee:energy:v:140:y:2017:i:p1:p:1198-1215
    DOI: 10.1016/j.energy.2017.08.011
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544217313865
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2017.08.011?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Tadamasa, A. & Zangeneh, M., 2011. "Numerical prediction of wind turbine noise," Renewable Energy, Elsevier, vol. 36(7), pages 1902-1912.
    2. Almohammadi, K.M. & Ingham, D.B. & Ma, L. & Pourkashan, M., 2013. "Computational fluid dynamics (CFD) mesh independency techniques for a straight blade vertical axis wind turbine," Energy, Elsevier, vol. 58(C), pages 483-493.
    3. Ghasemian, Masoud & Nejat, Amir, 2015. "Aero-acoustics prediction of a vertical axis wind turbine using Large Eddy Simulation and acoustic analogy," Energy, Elsevier, vol. 88(C), pages 711-717.
    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. Zhang, Sanxia & Luo, Kun & Yuan, Renyu & Wang, Qiang & Wang, Jianwen & Zhang, Liru & Fan, Jianren, 2018. "Influences of operating parameters on the aerodynamics and aeroacoustics of a horizontal-axis wind turbine," Energy, Elsevier, vol. 160(C), pages 597-611.

    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. Zhang, Sanxia & Luo, Kun & Yuan, Renyu & Wang, Qiang & Wang, Jianwen & Zhang, Liru & Fan, Jianren, 2018. "Influences of operating parameters on the aerodynamics and aeroacoustics of a horizontal-axis wind turbine," Energy, Elsevier, vol. 160(C), pages 597-611.
    2. Ghasemian, Masoud & Nejat, Amir, 2015. "Aero-acoustics prediction of a vertical axis wind turbine using Large Eddy Simulation and acoustic analogy," Energy, Elsevier, vol. 88(C), pages 711-717.
    3. Su, Jie & Lei, Hang & Zhou, Dai & Han, Zhaolong & Bao, Yan & Zhu, Hongbo & Zhou, Lei, 2019. "Aerodynamic noise assessment for a vertical axis wind turbine using Improved Delayed Detached Eddy Simulation," Renewable Energy, Elsevier, vol. 141(C), pages 559-569.
    4. Lam, H.F. & Peng, H.Y., 2017. "Measurements of the wake characteristics of co- and counter-rotating twin H-rotor vertical axis wind turbines," Energy, Elsevier, vol. 131(C), pages 13-26.
    5. Tummala, Abhishiktha & Velamati, Ratna Kishore & Sinha, Dipankur Kumar & Indraja, V. & Krishna, V. Hari, 2016. "A review on small scale wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 1351-1371.
    6. Jinlei Lv & Wenxian Yang & Haiyang Zhang & Daxiong Liao & Zebin Ren & Qin Chen, 2021. "A Feasibility Study to Reduce Infrasound Emissions from Existing Wind Turbine Blades Using a Biomimetic Technique," Energies, MDPI, vol. 14(16), pages 1-18, August.
    7. Rocha, P. A. Costa & Rocha, H. H. Barbosa & Carneiro, F. O. Moura & da Silva, M. E. Vieira & de Andrade, C. Freitas, 2016. "A case study on the calibration of the k–ω SST (shear stress transport) turbulence model for small scale wind turbines designed with cambered and symmetrical airfoils," Energy, Elsevier, vol. 97(C), pages 144-150.
    8. Balduzzi, Francesco & Bianchini, Alessandro & Ferrara, Giovanni & Ferrari, Lorenzo, 2016. "Dimensionless numbers for the assessment of mesh and timestep requirements in CFD simulations of Darrieus wind turbines," Energy, Elsevier, vol. 97(C), pages 246-261.
    9. Meana-Fernández, Andrés & Solís-Gallego, Irene & Fernández Oro, Jesús Manuel & Argüelles Díaz, Katia María & Velarde-Suárez, Sandra, 2018. "Parametrical evaluation of the aerodynamic performance of vertical axis wind turbines for the proposal of optimized designs," Energy, Elsevier, vol. 147(C), pages 504-517.
    10. Jinghua Lin & You-Lin Xu & Yong Xia & Chao Li, 2019. "Structural Analysis of Large-Scale Vertical-Axis Wind Turbines, Part I: Wind Load Simulation," Energies, MDPI, vol. 12(13), pages 1-31, July.
    11. Liu, Qingsong & Miao, Weipao & Ye, Qi & Li, Chun, 2022. "Performance assessment of an innovative Gurney flap for straight-bladed vertical axis wind turbine," Renewable Energy, Elsevier, vol. 185(C), pages 1124-1138.
    12. Celik, Yunus & Ingham, Derek & Ma, Lin & Pourkashanian, Mohamed, 2022. "Design and aerodynamic performance analyses of the self-starting H-type VAWT having J-shaped aerofoils considering various design parameters using CFD," Energy, Elsevier, vol. 251(C).
    13. Bedon, Gabriele & Raciti Castelli, Marco & Benini, Ernesto, 2014. "Proposal for an innovative chord distribution in the Troposkien vertical axis wind turbine concept," Energy, Elsevier, vol. 66(C), pages 689-698.
    14. Stefania Zanforlin & Fulvio Buzzi & Marika Francesconi, 2019. "Performance Analysis of Hydrofoil Shaped and Bi-Directional Diffusers for Cross Flow Tidal Turbines in Single and Double-Rotor Configurations," Energies, MDPI, vol. 12(2), pages 1-25, January.
    15. Peng, H.Y. & Liu, H.J. & Yang, J.H., 2021. "A review on the wake aerodynamics of H-rotor vertical axis wind turbines," Energy, Elsevier, vol. 232(C).
    16. Li, Yingjue & Wei, Kexiang & Yang, Wenxian & Wang, Qiong, 2020. "Improving wind turbine blade based on multi-objective particle swarm optimization," Renewable Energy, Elsevier, vol. 161(C), pages 525-542.
    17. Xuemin Ye & Fuwei Fan & Ruixing Zhang & Chunxi Li, 2019. "Prediction of Performance of a Variable-Pitch Axial Fan with Forward-Skewed Blades," Energies, MDPI, vol. 12(12), pages 1-20, June.
    18. Peng, H.Y. & Han, Z.D. & Liu, H.J. & Lin, K. & Lam, H.F., 2020. "Assessment and optimization of the power performance of twin vertical axis wind turbines via numerical simulations," Renewable Energy, Elsevier, vol. 147(P1), pages 43-54.
    19. Andreas Binder & Onkar Jadhav & Volker Mehrmann, 2021. "Error Analysis of a Model Order Reduction Framework for Financial Risk Analysis," Papers 2110.00774, arXiv.org.
    20. Cinzia Rainone & Danilo De Siero & Luigi Iuspa & Antonio Viviani & Giuseppe Pezzella, 2023. "A Numerical Procedure for Variable-Pitch Law Formulation of Vertical-Axis Wind Turbines," Energies, MDPI, vol. 16(1), pages 1-20, January.

    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:eee:energy:v:140:y:2017:i:p1:p:1198-1215. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    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.