IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v115y2018icp113-127.html
   My bibliography  Save this article

Numerical workflow for 3D shape optimization and synthesis of vertical-axis wind turbines for specified operating regimes

Author

Listed:
  • Marinić-Kragić, Ivo
  • Vučina, Damir
  • Milas, Zoran

Abstract

This paper presents a numerical workflow designed and developed for autonomous synthesis of vertical axis wind turbine (VAWT) blades for maximum annual energy production at a specified location given by specified wind speed distribution and prescribed tip speed ratio. The workflow can synthesize shapes of both classical VAWT designs: Darrieus and Savonius rotors. This is achieved using a novel shape parameterization scheme based on B-splines which represents a compromise between shape generality and the multitude of shape variables. The developed computational framework enables the optimizer to synthesize and evaluate a variety of geometrically and even topologically different shapes such as the Darrieus and Savonius types. Moreover, the workflow can invent (i.e. numerically generate without a resembling initial shape) new generic shapes for custom operating conditions. Both single wind-speed and systems related to real-site operating conditions specified by a given distribution of wind speeds are considered. The developed workflow consists of efficient geometry parameterization, a genetic algorithm based optimizer and a computational fluid dynamics based simulator. The rather promising results of custom-shaped vertical axis wind turbines for maximum annual energy production at a given specific site are presented using a set of case studies.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:renene:v:115:y:2018:i:c:p:113-127
    DOI: 10.1016/j.renene.2017.08.030
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S096014811730784X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2017.08.030?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. Eriksson, Sandra & Bernhoff, Hans & Leijon, Mats, 2008. "Evaluation of different turbine concepts for wind power," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(5), pages 1419-1434, June.
    2. 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.
    3. Saeidi, Davood & Sedaghat, Ahmad & Alamdari, Pourya & Alemrajabi, Ali Akbar, 2013. "Aerodynamic design and economical evaluation of site specific small vertical axis wind turbines," Applied Energy, Elsevier, vol. 101(C), pages 765-775.
    4. 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.
    5. Ismail, Md Farhad & Vijayaraghavan, Krishna, 2015. "The effects of aerofoil profile modification on a vertical axis wind turbine performance," Energy, Elsevier, vol. 80(C), pages 20-31.
    6. Joo, Sungjun & Choi, Heungsoap & Lee, Juhee, 2015. "Aerodynamic characteristics of two-bladed H-Darrieus at various solidities and rotating speeds," Energy, Elsevier, vol. 90(P1), pages 439-451.
    7. Capuzzi, M. & Pirrera, A. & Weaver, P.M., 2014. "A novel adaptive blade concept for large-scale wind turbines. Part I: Aeroelastic behaviour," Energy, Elsevier, vol. 73(C), pages 15-24.
    8. Lee, Young-Tae & Lim, Hee-Chang, 2015. "Numerical study of the aerodynamic performance of a 500 W Darrieus-type vertical-axis wind turbine," Renewable Energy, Elsevier, vol. 83(C), pages 407-415.
    9. Bedon, Gabriele & De Betta, Stefano & Benini, Ernesto, 2016. "Performance-optimized airfoil for Darrieus wind turbines," Renewable Energy, Elsevier, vol. 94(C), pages 328-340.
    10. Singh, M.A. & Biswas, A. & Misra, R.D., 2015. "Investigation of self-starting and high rotor solidity on the performance of a three S1210 blade H-type Darrieus rotor," Renewable Energy, Elsevier, vol. 76(C), pages 381-387.
    11. Torresi, M. & Camporeale, S.M. & Strippoli, P.D. & Pascazio, G., 2008. "Accurate numerical simulation of a high solidity Wells turbine," Renewable Energy, Elsevier, vol. 33(4), pages 735-747.
    12. Li, Chao & Zhu, Songye & Xu, You-lin & Xiao, Yiqing, 2013. "2.5D large eddy simulation of vertical axis wind turbine in consideration of high angle of attack flow," Renewable Energy, Elsevier, vol. 51(C), pages 317-330.
    13. Kamoji, M.A. & Kedare, S.B. & Prabhu, S.V., 2009. "Performance tests on helical Savonius rotors," Renewable Energy, Elsevier, vol. 34(3), pages 521-529.
    14. Pérez-Arribas, F. & Trejo-Vargas, I., 2012. "Computer-aided design of horizontal axis turbine blades," Renewable Energy, Elsevier, vol. 44(C), pages 252-260.
    15. 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.
    16. Marsh, Philip & Ranmuthugala, Dev & Penesis, Irene & Thomas, Giles, 2016. "Numerical simulation of the loading characteristics of straight and helical-bladed vertical axis tidal turbines," Renewable Energy, Elsevier, vol. 94(C), pages 418-428.
    17. Cheng, Chin-Hsiang & Huang, Yu-Xian & King, Shun-Chih & Lee, Chun-I & Leu, Chih-Hsing, 2014. "CFD (computational fluid dynamics)-based optimal design of a micro-reformer by integrating computational a fluid dynamics code using a simplified conjugate-gradient method," Energy, Elsevier, vol. 70(C), pages 355-365.
    18. Talavera, Miguel & Shu, Fangjun, 2017. "Experimental study of turbulence intensity influence on wind turbine performance and wake recovery in a low-speed wind tunnel," Renewable Energy, Elsevier, vol. 109(C), pages 363-371.
    19. Song, M.X. & Chen, K. & Zhang, X. & Wang, J., 2015. "The lazy greedy algorithm for power optimization of wind turbine positioning on complex terrain," Energy, Elsevier, vol. 80(C), pages 567-574.
    20. Islam, Mazharul & Ting, David S.-K. & Fartaj, Amir, 2008. "Aerodynamic models for Darrieus-type straight-bladed vertical axis wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(4), pages 1087-1109, May.
    21. Kumer, Valerie-M. & Reuder, Joachim & Dorninger, Manfred & Zauner, Rudolf & Grubišić, Vanda, 2016. "Turbulent kinetic energy estimates from profiling wind LiDAR measurements and their potential for wind energy applications," Renewable Energy, Elsevier, vol. 99(C), pages 898-910.
    22. 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.
    23. Balduzzi, Francesco & Bianchini, Alessandro & Carnevale, Ennio Antonio & Ferrari, Lorenzo & Magnani, Sandro, 2012. "Feasibility analysis of a Darrieus vertical-axis wind turbine installation in the rooftop of a building," Applied Energy, Elsevier, vol. 97(C), pages 921-929.
    24. Menet, J.-L., 2004. "A double-step Savonius rotor for local production of electricity: a design study," Renewable Energy, Elsevier, vol. 29(11), pages 1843-1862.
    25. Gomes, R.P.F. & Henriques, J.C.C. & Gato, L.M.C. & Falcão, A.F.O., 2012. "Multi-point aerodynamic optimization of the rotor blade sections of an axial-flow impulse air turbine for wave energy conversion," Energy, Elsevier, vol. 45(1), pages 570-580.
    26. Goldstein, Leo, 2015. "A proposal and a theoretical analysis of a novel concept of a tilted-axis wind turbine," Energy, Elsevier, vol. 84(C), pages 247-254.
    27. Bedon, Gabriele & Antonini, Enrico G.A. & De Betta, Stefano & Raciti Castelli, Marco & Benini, Ernesto, 2014. "Evaluation of the different aerodynamic databases for vertical axis wind turbine simulations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 386-399.
    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. Marinić-Kragić, Ivo & Vučina, Damir & Milas, Zoran, 2019. "Concept of flexible vertical-axis wind turbine with numerical simulation and shape optimization," Energy, Elsevier, vol. 167(C), pages 841-852.
    2. Marinić-Kragić, Ivo & Vučina, Damir & Milas, Zoran, 2022. "Robust optimization of Savonius-type wind turbine deflector blades considering wind direction sensitivity and production material decrease," Renewable Energy, Elsevier, vol. 192(C), pages 150-163.
    3. Marinić-Kragić, Ivo & Vučina, Damir & Milas, Zoran, 2022. "Global optimization of Savonius-type vertical axis wind turbine with multiple circular-arc blades using validated 3D CFD model," Energy, Elsevier, vol. 241(C).
    4. Baghdadi, M. & Elkoush, S. & Akle, B. & Elkhoury, M., 2020. "Dynamic shape optimization of a vertical-axis wind turbine via blade morphing technique," Renewable Energy, Elsevier, vol. 154(C), pages 239-251.
    5. Guo, Zijian & Liu, Tanghong & Xu, Kai & Wang, Junyan & Li, Wenhui & Chen, Zhengwei, 2020. "Parametric analysis and optimization of a simple wind turbine in high speed railway tunnels," Renewable Energy, Elsevier, vol. 161(C), pages 825-835.

    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. Marinić-Kragić, Ivo & Vučina, Damir & Milas, Zoran, 2019. "Concept of flexible vertical-axis wind turbine with numerical simulation and shape optimization," Energy, Elsevier, vol. 167(C), pages 841-852.
    2. 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.
    3. 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).
    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. Kumar, Rakesh & Raahemifar, Kaamran & Fung, Alan S., 2018. "A critical review of vertical axis wind turbines for urban applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 89(C), pages 281-291.
    6. 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.
    7. 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.
    8. 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.
    9. Liu, Kan & Yu, Meilin & Zhu, Weidong, 2019. "Enhancing wind energy harvesting performance of vertical axis wind turbines with a new hybrid design: A fluid-structure interaction study," Renewable Energy, Elsevier, vol. 140(C), pages 912-927.
    10. 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.
    11. Chen, Jian & Pan, Xiong & Wang, Canxing & Hu, Guojun & Xu, Hongtao & Liu, Pengwei, 2019. "Airfoil parameterization evaluation based on a modified PARASEC method for a H-Darrious rotor," Energy, Elsevier, vol. 187(C).
    12. Barnes, Andrew & Marshall-Cross, Daniel & Hughes, Ben Richard, 2021. "Towards a standard approach for future Vertical Axis Wind Turbine aerodynamics research and development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).
    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. Peng, H.Y. & Lam, H.F., 2016. "Turbulence effects on the wake characteristics and aerodynamic performance of a straight-bladed vertical axis wind turbine by wind tunnel tests and large eddy simulations," Energy, Elsevier, vol. 109(C), pages 557-568.
    15. Wang, Ying & Shen, Sheng & Li, Gaohui & Huang, Diangui & Zheng, Zhongquan, 2018. "Investigation on aerodynamic performance of vertical axis wind turbine with different series airfoil shapes," Renewable Energy, Elsevier, vol. 126(C), pages 801-818.
    16. 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.
    17. Chen, Yaoran & Su, Jie & Han, Zhaolong & Zhao, Yongsheng & Zhou, Dai & Yang, He & Bao, Yan & Lei, Hang, 2020. "A shape optimization of ϕ-shape Darrieus wind turbine under a given range of inlet wind speed," Renewable Energy, Elsevier, vol. 159(C), pages 286-299.
    18. Chen, Jian & Chen, Liu & Xu, Hongtao & Yang, Hongxing & Ye, Changwen & Liu, Di, 2016. "Performance improvement of a vertical axis wind turbine by comprehensive assessment of an airfoil family," Energy, Elsevier, vol. 114(C), pages 318-331.
    19. 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.
    20. Wong, Kok Hoe & Chong, Wen Tong & Poh, Sin Chew & Shiah, Yui-Chuin & Sukiman, Nazatul Liana & Wang, Chin-Tsan, 2018. "3D CFD simulation and parametric study of a flat plate deflector for vertical axis wind turbine," Renewable Energy, Elsevier, vol. 129(PA), pages 32-55.

    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:115:y:2018:i:c:p:113-127. 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.