IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v99y2016icp592-601.html
   My bibliography  Save this article

A Multiple Actuator Block model for vertical axis wind turbines

Author

Listed:
  • Sanchez, Valentin
  • Pallares, Jordi
  • Vernet, Anton
  • Agafonova, Oxana
  • Hämäläinen, Jari

Abstract

In this paper a new model to predict the wake of vertical axis wind turbines (VAWT) is proposed and analysed. The model is based on the actuator disk and the Double Multiple Stream Tube methods. Specifically, the model, denoted as Multiple Actuator Block, is based on the definition, inside the computational domain, of multiple parallelepipedic blocks distributed along the path of the blades. Volumetric momentum sinks are imposed in these blocks to model the effect of the blades on the flow. To analyse the performance of the model a VAWT with three NACA0022, for which numerical and experimental results are available in the literature, has been considered. Different types of simulations with the Multiple Actuator Block model have been carried out and have been compared with a complete finite volume simulation using the sliding mesh technique. This simulation requires about ten times more CPU time than the simulations using the Multiple Actuator Block model. It has been found that the large scale features of the far wake can be reproduced using the Multiple Actuator Block model applying in the block the forces, obtained from the complete finite volume simulation or obtained from a boundary-layer type code, when the blade is inside the block.

Suggested Citation

  • Sanchez, Valentin & Pallares, Jordi & Vernet, Anton & Agafonova, Oxana & Hämäläinen, Jari, 2016. "A Multiple Actuator Block model for vertical axis wind turbines," Renewable Energy, Elsevier, vol. 99(C), pages 592-601.
    • Handle: RePEc:eee:renene:v:99:y:2016:i:c:p:592-601
    DOI: 10.1016/j.renene.2016.07.018
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148116306140
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2016.07.018?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. Howell, Robert & Qin, Ning & Edwards, Jonathan & Durrani, Naveed, 2010. "Wind tunnel and numerical study of a small vertical axis wind turbine," Renewable Energy, Elsevier, vol. 35(2), pages 412-422.
    2. Del Valle Carrasco, Arturo & Valles-Rosales, Delia J. & Mendez, Luis C. & Rodriguez, Manuel I., 2016. "A site-specific design of a fixed-pitch fixed-speed wind turbine blade for energy optimization using surrogate models," Renewable Energy, Elsevier, vol. 88(C), pages 112-119.
    3. Lignarolo, L.E.M. & Ragni, D. & Krishnaswami, C. & Chen, Q. & Simão Ferreira, C.J. & van Bussel, G.J.W., 2014. "Experimental analysis of the wake of a horizontal-axis wind-turbine model," Renewable Energy, Elsevier, vol. 70(C), pages 31-46.
    4. Goude, Anders & Bülow, Fredrik, 2013. "Robust VAWT control system evaluation by coupled aerodynamic and electrical simulations," Renewable Energy, Elsevier, vol. 59(C), pages 193-201.
    5. Shirasawa, Katsutoshi & Tokunaga, Kohei & Iwashita, Hidetsugu & Shintake, Tsumoru, 2016. "Experimental verification of a floating ocean-current turbine with a single rotor for use in Kuroshio currents," Renewable Energy, Elsevier, vol. 91(C), pages 189-195.
    6. 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.
    7. Castellani, Francesco & Vignaroli, Andrea, 2013. "An application of the actuator disc model for wind turbine wakes calculations," Applied Energy, Elsevier, vol. 101(C), pages 432-440.
    8. Laws, Nicholas D. & Epps, Brenden P., 2016. "Hydrokinetic energy conversion: Technology, research, and outlook," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1245-1259.
    9. Goh, Seach Chyr & Boopathy, Sethu Raman & Krishnaswami, Chidambaresan & Schlüter, Jörg Uwe, 2016. "Tow testing of Savonius wind turbine above a bluff body complemented by CFD simulation," Renewable Energy, Elsevier, vol. 87(P1), pages 332-345.
    10. Tescione, G. & Simão Ferreira, C.J. & van Bussel, G.J.W., 2016. "Analysis of a free vortex wake model for the study of the rotor and near wake flow of a vertical axis wind turbine," Renewable Energy, Elsevier, vol. 87(P1), pages 552-563.
    11. Breton, S.-P. & Nilsson, K. & Olivares-Espinosa, H. & Masson, C. & Dufresne, L. & Ivanell, S., 2014. "Study of the influence of imposed turbulence on the asymptotic wake deficit in a very long line of wind turbines," Renewable Energy, Elsevier, vol. 70(C), pages 153-163.
    12. Olauson, Jon & Bergkvist, Mikael, 2015. "Modelling the Swedish wind power production using MERRA reanalysis data," Renewable Energy, Elsevier, vol. 76(C), pages 717-725.
    13. Bedon, Gabriele & Raciti Castelli, Marco & Benini, Ernesto, 2013. "Optimization of a Darrieus vertical-axis wind turbine using blade element – momentum theory and evolutionary algorithm," Renewable Energy, Elsevier, vol. 59(C), pages 184-192.
    14. Bontempo, R. & Manna, M., 2014. "Performance analysis of open and ducted wind turbines," Applied Energy, Elsevier, vol. 136(C), pages 405-416.
    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. Gorg Abdelmassih & Mohammed Al-Numay & Abdelali El Aroudi, 2021. "Map Optimization Fuzzy Logic Framework in Wind Turbine Site Selection with Application to the USA Wind Farms," Energies, MDPI, vol. 14(19), pages 1-15, September.

    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. Jin, Xin & Zhao, Gaoyuan & Gao, KeJun & Ju, Wenbin, 2015. "Darrieus vertical axis wind turbine: Basic research methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 212-225.
    2. Wekesa, David Wafula & Wang, Cong & Wei, Yingjie & Danao, Louis Angelo M., 2017. "Analytical and numerical investigation of unsteady wind for enhanced energy capture in a fluctuating free-stream," Energy, Elsevier, vol. 121(C), pages 854-864.
    3. Faruk Guner & Hilmi Zenk, 2020. "Experimental, Numerical and Application Analysis of Hydrokinetic Turbine Performance with Fixed Rotating Blades," Energies, MDPI, vol. 13(3), pages 1-15, February.
    4. Li, Qingan & Cai, Chang & Maeda, Takao & Kamada, Yasunari & Shimizu, Kento & Dong, Yehong & Zhang, Fanghong & Xu, Jianzhong, 2021. "Visualization of aerodynamic forces and flow field on a straight-bladed vertical axis wind turbine by wind tunnel experiments and panel method," Energy, Elsevier, vol. 225(C).
    5. Daniel Micallef & Gerard Van Bussel, 2018. "A Review of Urban Wind Energy Research: Aerodynamics and Other Challenges," Energies, MDPI, vol. 11(9), pages 1-27, August.
    6. 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).
    7. Hamid, Hossam & Mohamed Abd El Maksoud, Rafea, 2024. "An optimization study of passive flow control mechanism for a seashell-shaped wind turbine," Energy, Elsevier, vol. 289(C).
    8. Thé, Jesse & Yu, Hesheng, 2017. "A critical review on the simulations of wind turbine aerodynamics focusing on hybrid RANS-LES methods," Energy, Elsevier, vol. 138(C), pages 257-289.
    9. Eduard Dyachuk & Anders Goude, 2015. "Simulating Dynamic Stall Effects for Vertical Axis Wind Turbines Applying a Double Multiple Streamtube Model," Energies, MDPI, vol. 8(2), pages 1-20, February.
    10. Li, Qing'an & Maeda, Takao & Kamada, Yasunari & Ogasawara, Tatsuhiko & Nakai, Alisa & Kasuya, Takuji, 2017. "Investigation of power performance and wake on a straight-bladed vertical axis wind turbine with field experiments," Energy, Elsevier, vol. 141(C), pages 1113-1123.
    11. Shakil Rehman Sheikh & Syed Hassan Raza Shah & Umar Rauf & Fawad Rauf & Zareena Kausar & Umair Aziz & Muhammad Faizan Shah & Haseeb Yaqoob & Muhammad Bilal Khan Niazi, 2021. "A Low-Cost Sustainable Energy Solution for Pristine Mountain Areas of Developing Countries," Energies, MDPI, vol. 14(11), pages 1-18, May.
    12. Li, Qing'an & Maeda, Takao & Kamada, Yasunari & Shimizu, Kento & Ogasawara, Tatsuhiko & Nakai, Alisa & Kasuya, Takuji, 2017. "Effect of rotor aspect ratio and solidity on a straight-bladed vertical axis wind turbine in three-dimensional analysis by the panel method," Energy, Elsevier, vol. 121(C), pages 1-9.
    13. Hand, Brian & Kelly, Ger & Cashman, Andrew, 2021. "Aerodynamic design and performance parameters of a lift-type vertical axis wind turbine: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
    14. Antar, E. & Elkhoury, M., 2019. "Parametric sizing optimization process of a casing for a Savonius Vertical Axis Wind Turbine," Renewable Energy, Elsevier, vol. 136(C), pages 127-138.
    15. Chen, Jian & Yang, Hongxing & Yang, Mo & Xu, Hongtao & Hu, Zuohuan, 2015. "A comprehensive review of the theoretical approaches for the airfoil design of lift-type vertical axis wind turbine," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1709-1720.
    16. Ni, Lulu & Miao, Weipao & Li, Chun & Liu, Qingsong, 2021. "Impacts of Gurney flap and solidity on the aerodynamic performance of vertical axis wind turbines in array configurations," Energy, Elsevier, vol. 215(PA).
    17. Bontempo, R. & Manna, M., 2020. "Diffuser augmented wind turbines: Review and assessment of theoretical models," Applied Energy, Elsevier, vol. 280(C).
    18. Marinić-Kragić, Ivo & Vučina, Damir & Milas, Zoran, 2018. "Numerical workflow for 3D shape optimization and synthesis of vertical-axis wind turbines for specified operating regimes," Renewable Energy, Elsevier, vol. 115(C), pages 113-127.
    19. Ahmadi Asl, Hamid & Kamali Monfared, Reza & Rad, Manouchehr, 2017. "Experimental investigation of blade number and design effects for a ducted wind turbine," Renewable Energy, Elsevier, vol. 105(C), pages 334-343.
    20. Ahmadi-Baloutaki, Mojtaba & Carriveau, Rupp & Ting, David S-K., 2016. "A wind tunnel study on the aerodynamic interaction of vertical axis wind turbines in array configurations," Renewable Energy, Elsevier, vol. 96(PA), pages 904-913.

    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:renene:v:99:y:2016:i:c:p:592-601. 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/renewable-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.