IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i5p1443-d511909.html
   My bibliography  Save this article

Analysis of Aeroacoustic Properties of the Local Radial Point Interpolation Cumulant Lattice Boltzmann Method

Author

Listed:
  • Mohsen Gorakifard

    (Department of Mechanical Engineering, ETSEQ, Rovira i Virgili University, Països Catalans, 26, 43007 Tarragona, Spain)

  • Clara Salueña

    (Department of Mechanical Engineering, ETSEQ, Rovira i Virgili University, Països Catalans, 26, 43007 Tarragona, Spain)

  • Ildefonso Cuesta

    (Department of Mechanical Engineering, ETSEQ, Rovira i Virgili University, Països Catalans, 26, 43007 Tarragona, Spain)

  • Ehsan Kian Far

    (Department of Mechanical Engineering, The University of Manchester, Oxford Rd, Manchester M13 9PL, UK)

Abstract

The lattice Boltzmann method (LBM) has recently been used to simulate wave propagation, one of the challenging aspects of wind turbine modeling and simulation. However, standard LB methods suffer from the instability that occurs at low viscosities and from its characteristic lattice uniformity, which results in issues of accuracy and computational efficiency following mesh refinement. The local radial point interpolation cumulant lattice Boltzmann method (LRPIC-LBM) is proposed in this paper to overcome these shortcomings. The LB equation is divided into collision and streaming steps. The collision step is modeled by the cumulant method, one of the stable LB methods at low viscosities. In addition, the streaming step, which is naturally a pure advection equation, is discretized in time and space using the Lax–Wendroff scheme and the local radial point interpolation method (RPIM), a mesh free method. We describe the propagation of planar acoustic waves, including the temporal decay of a standing plane wave and the spatial decay of a planar acoustic pulse. The analysis of these specific benchmark problems has yielded qualitative and quantitative data on acoustic dispersion and dissipation, and their deviation from analytical results demonstrates the accuracy of the method. We found that the LRPIC-LBM replicates the analytical results for different viscosities, and the errors of the fundamental acoustic properties are negligible, even for quite low resolutions. Thus, this method may constitute a useful platform for effectively predicting complex engineering problems such as wind turbine simulations, without parameter dependencies such as the number of points per wavelength N p p w and resolution σ or the detrimental effect caused by the use of coarse grids found in other accurate and stable LB models.

Suggested Citation

  • Mohsen Gorakifard & Clara Salueña & Ildefonso Cuesta & Ehsan Kian Far, 2021. "Analysis of Aeroacoustic Properties of the Local Radial Point Interpolation Cumulant Lattice Boltzmann Method," Energies, MDPI, vol. 14(5), pages 1-18, March.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:5:p:1443-:d:511909
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/5/1443/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/14/5/1443/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Latt, Jonas & Chopard, Bastien, 2006. "Lattice Boltzmann method with regularized pre-collision distribution functions," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 72(2), pages 165-168.
    3. M. Chávez-Modena & J. L. Martínez & J. A. Cabello & E. Ferrer, 2020. "Simulations of Aerodynamic Separated Flows Using the Lattice Boltzmann Solver XFlow," Energies, MDPI, vol. 13(19), pages 1-22, October.
    4. Jan Delfs & Lothar Bertsch & Christoph Zellmann & Lennart Rossian & Ehsan Kian Far & Tobias Ring & Sabine C. Langer, 2018. "Aircraft Noise Assessment—From Single Components to Large Scenarios," Energies, MDPI, vol. 11(2), pages 1-25, February.
    5. Qiang Li & Hao Yang & Fan Yang & Degui Yao & Guangzhou Zhang & Jia Ran & Bing Gao, 2018. "Calculation of Hybrid Ionized Field of AC/DC Transmission Lines by the Meshless Local Petorv–Galerkin Method," Energies, MDPI, vol. 11(6), pages 1-14, June.
    6. Burton-Jones, Alan, 2001. "Knowledge Capitalism: Business, Work, and Learning in the New Economy," OUP Catalogue, Oxford University Press, number 9780199242542, Decembrie.
    7. O. Filippova & D. Hänel, 1998. "Boundary-Fitting and Local Grid Refinement for Lattice-BGK Models," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 9(08), pages 1271-1279.
    Full references (including those not matched with items on IDEAS)

    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. Bao, Mupeng & Xie, Yudong & Zhang, Xinbiao & Ju, Jinyong & Wang, Yong, 2023. "Performance improvement of a control valve with energy harvesting," Energy, Elsevier, vol. 263(PC).
    2. Oleg Ilyin, 2022. "Low Dissipative Entropic Lattice Boltzmann Method," Mathematics, MDPI, vol. 10(21), pages 1-22, October.
    3. Kuang, Limin & Su, Jie & Chen, Yaoran & Han, Zhaolong & Zhou, Dai & Zhang, Kai & Zhao, Yongsheng & Bao, Yan, 2022. "Wind-capture-accelerate device for performance improvement of vertical-axis wind turbines: External diffuser system," Energy, Elsevier, vol. 239(PB).
    4. Mintra Trongtorkarn & Thanansak Theppaya & Kuaanan Techato & Montri Luengchavanon & Chainuson Kasagepongsarn, 2021. "Relationship between Starting Torque and Thermal Behaviour for a Permanent Magnet Synchronous Generator (PMSG) Applied with Vertical Axis Wind Turbine (VAWT)," Sustainability, MDPI, vol. 13(16), pages 1-13, August.
    5. Wang, Junlei & Geng, Linfeng & Ding, Lin & Zhu, Hongjun & Yurchenko, Daniil, 2020. "The state-of-the-art review on energy harvesting from flow-induced vibrations," Applied Energy, Elsevier, vol. 267(C).
    6. Pagnini, Luisa & Piccardo, Giuseppe & Repetto, Maria Pia, 2018. "Full scale behavior of a small size vertical axis wind turbine," Renewable Energy, Elsevier, vol. 127(C), pages 41-55.
    7. Stefan Arens & Sunke Schlüters & Benedikt Hanke & Karsten von Maydell & Carsten Agert, 2020. "Sustainable Residential Energy Supply: A Literature Review-Based Morphological Analysis," Energies, MDPI, vol. 13(2), pages 1-28, January.
    8. Snejina Michailova & Elena Sidorova, 2010. "Knowledge Management In Transition Economies: Selected Key Issues And Possible Research Avenues," Organizations and Markets in Emerging Economies, Faculty of Economics, Vilnius University, vol. 1(1).
    9. Ashorynejad, Hamid Reza & Javaherdeh, Koroush, 2019. "Evaluation of passive and active lattice Boltzmann method for PEM fuel cell modeling," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
    10. Ardaneh, Fatemeh & Abdolahifar, Abolfazl & Karimian, S.M.H., 2022. "Numerical analysis of the pitch angle effect on the performance improvement and flow characteristics of the 3-PB Darrieus vertical axis wind turbine," Energy, Elsevier, vol. 239(PD).
    11. Reinauer, Tobias & Hansen, Ulrich Elmer, 2021. "Determinants of adoption in open-source hardware: A review of small wind turbines," Technovation, Elsevier, vol. 106(C).
    12. Ma, Ning & Lei, Hang & Han, Zhaolong & Zhou, Dai & Bao, Yan & Zhang, Kai & Zhou, Lei & Chen, Caiyong, 2018. "Airfoil optimization to improve power performance of a high-solidity vertical axis wind turbine at a moderate tip speed ratio," Energy, Elsevier, vol. 150(C), pages 236-252.
    13. Zhixiang Liu & Jun Ruan & Wei Song & Liping Zhou & Weiqi Guo & Jingxiang Xu, 2022. "Parallel Scheme for Multi-Layer Refinement Non-Uniform Grid Lattice Boltzmann Method Based on Load Balancing," Energies, MDPI, vol. 15(21), pages 1-34, October.
    14. Ismail Kamdar & Shahid Ali & Juntakan Taweekun & Hafiz Muhammad Ali, 2021. "Wind Farm Site Selection Using WAsP Tool for Application in the Tropical Region," Sustainability, MDPI, vol. 13(24), pages 1-25, December.
    15. Tavakol Aghaei, Vahid & Ağababaoğlu, Arda & Bawo, Biram & Naseradinmousavi, Peiman & Yıldırım, Sinan & Yeşilyurt, Serhat & Onat, Ahmet, 2023. "Energy optimization of wind turbines via a neural control policy based on reinforcement learning Markov chain Monte Carlo algorithm," Applied Energy, Elsevier, vol. 341(C).
    16. 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.
    17. Lombardi, Lidia & Mendecka, Barbara & Carnevale, Ennio & Stanek, Wojciech, 2018. "Environmental impacts of electricity production of micro wind turbines with vertical axis," Renewable Energy, Elsevier, vol. 128(PB), pages 553-564.
    18. José Luis Torres-Madroñero & Joham Alvarez-Montoya & Daniel Restrepo-Montoya & Jorge Mario Tamayo-Avendaño & César Nieto-Londoño & Julián Sierra-Pérez, 2020. "Technological and Operational Aspects That Limit Small Wind Turbines Performance," Energies, MDPI, vol. 13(22), pages 1-39, November.
    19. Rezaeiha, Abdolrahim & Montazeri, Hamid & Blocken, Bert, 2019. "Active flow control for power enhancement of vertical axis wind turbines: Leading-edge slot suction," Energy, Elsevier, vol. 189(C).
    20. Zerbini, Fabrizio & Borghini, Stefania, 2015. "Release capacity in the vendor selection process," Journal of Business Research, Elsevier, vol. 68(2), pages 405-414.

    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:14:y:2021:i:5:p:1443-:d:511909. 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.