IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v88y2016icp112-119.html
   My bibliography  Save this article

A site-specific design of a fixed-pitch fixed-speed wind turbine blade for energy optimization using surrogate models

Author

Listed:
  • Del Valle Carrasco, Arturo
  • Valles-Rosales, Delia J.
  • Mendez, Luis C.
  • Rodriguez, Manuel I.

Abstract

This work seeks to add a new approach to optimize a wind turbine blade's performance by implementing a surrogate model using the Kriging function with the chord, twist and the use of 3 different airfoils as design variables for the maximization of the Annual Energy Production. A combination of Genetic Algorithms and the SQP method for Local Search are used to exploit the model. A baseline design of the blade starts with a replica of the Phase VI blade utilized in a NASA-Ames experiment and a MatLab script utilizes the Blade Element Momentum Theory (BEM) for the aerodynamic analysis. Results show a 23% improvement in energy production by using this method.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:88:y:2016:i:c:p:112-119
    DOI: 10.1016/j.renene.2015.11.018
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148115304365
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2015.11.018?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. Saheb-Koussa, Djohra & Haddadi, Mourad & Belhamel, Maiouf & Hadji, Seddik & Nouredine, Said, 2010. "Modeling and simulation of the fixed-speed WECS (wind energy conversion system): Application to the Algerian Sahara area," Energy, Elsevier, vol. 35(10), pages 4116-4125.
    2. Liu, Xiongwei & Wang, Lin & Tang, Xinzi, 2013. "Optimized linearization of chord and twist angle profiles for fixed-pitch fixed-speed wind turbine blades," Renewable Energy, Elsevier, vol. 57(C), pages 111-119.
    3. Lanzafame, R. & Messina, M., 2009. "Design and performance of a double-pitch wind turbine with non-twisted blades," Renewable Energy, Elsevier, vol. 34(5), pages 1413-1420.
    4. Bavanish, B. & Thyagarajan, K., 2013. "Optimization of power coefficient on a horizontal axis wind turbine using bem theory," Renewable and Sustainable Energy Reviews, Elsevier, vol. 26(C), pages 169-182.
    5. Fischer, Gunter Reinald & Kipouros, Timoleon & Savill, Anthony Mark, 2014. "Multi-objective optimisation of horizontal axis wind turbine structure and energy production using aerofoil and blade properties as design variables," Renewable Energy, Elsevier, vol. 62(C), pages 506-515.
    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. 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.
    2. 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.
    3. Kumar, P. Madhan & Seo, Jeonghwa & Seok, Woochan & Rhee, Shin Hyung & Samad, Abdus, 2019. "Multi-fidelity optimization of blade thickness parameters for a horizontal axis tidal stream turbine," Renewable Energy, Elsevier, vol. 135(C), pages 277-287.
    4. Dragomir, George & Șerban, Alexandru & Năstase, Gabriel & Brezeanu, Alin Ionuț, 2016. "Wind energy in Romania: A review from 2009 to 2016," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 129-143.
    5. Baniassadi, Amir & Shirinbakhsh, Mehrdad & Torabi, Farschad, 2017. "Multivariate optimization of off-grid wind turbines with variable demand - Case study of a remote commercial building," Renewable Energy, Elsevier, vol. 101(C), pages 1021-1029.
    6. Ghorani, Mohammad Mahdi & Karimi, Behrooz & Mirghavami, Seyed Mohammad & Saboohi, Zoheir, 2023. "A numerical study on the feasibility of electricity production using an optimized wind delivery system (Invelox) integrated with a Horizontal axis wind turbine (HAWT)," Energy, Elsevier, vol. 268(C).
    7. Vianna Neto, Júlio Xavier & Guerra Junior, Elci José & Moreno, Sinvaldo Rodrigues & Hultmann Ayala, Helon Vicente & Mariani, Viviana Cocco & Coelho, Leandro dos Santos, 2018. "Wind turbine blade geometry design based on multi-objective optimization using metaheuristics," Energy, Elsevier, vol. 162(C), pages 645-658.

    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. Abdelsalam, Ali M. & El-Askary, W.A. & Kotb, M.A. & Sakr, I.M., 2021. "Experimental study on small scale horizontal axis wind turbine of analytically-optimized blade with linearized chord twist angle profile," Energy, Elsevier, vol. 216(C).
    2. Jia, Liangyue & Hao, Jia & Hall, John & Nejadkhaki, Hamid Khakpour & Wang, Guoxin & Yan, Yan & Sun, Mengyuan, 2021. "A reinforcement learning based blade twist angle distribution searching method for optimizing wind turbine energy power," Energy, Elsevier, vol. 215(PA).
    3. Tahani, Mojtaba & Kavari, Ghazale & Masdari, Mehran & Mirhosseini, Mojtaba, 2017. "Aerodynamic design of horizontal axis wind turbine with innovative local linearization of chord and twist distributions," Energy, Elsevier, vol. 131(C), pages 78-91.
    4. 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.
    5. Zhiqiang Yang & Minghui Yin & Yan Xu & Zhengyang Zhang & Yun Zou & Zhao Yang Dong, 2016. "A Multi-Point Method Considering the Maximum Power Point Tracking Dynamic Process for Aerodynamic Optimization of Variable-Speed Wind Turbine Blades," Energies, MDPI, vol. 9(6), pages 1-16, May.
    6. Wang, Lin & Liu, Xiongwei & Renevier, Nathalie & Stables, Matthew & Hall, George M., 2014. "Nonlinear aeroelastic modelling for wind turbine blades based on blade element momentum theory and geometrically exact beam theory," Energy, Elsevier, vol. 76(C), pages 487-501.
    7. Mauro, S. & Lanzafame, R. & Messina, M. & Brusca, S., 2023. "On the importance of the root-to-hub adapter effects on HAWT performance: A CFD-BEM numerical investigation," Energy, Elsevier, vol. 275(C).
    8. Ikeda, Teruaki & Tanaka, Hiroto & Yoshimura, Ryosuke & Noda, Ryusuke & Fujii, Takeo & Liu, Hao, 2018. "A robust biomimetic blade design for micro wind turbines," Renewable Energy, Elsevier, vol. 125(C), pages 155-165.
    9. Imraan, Mustahib & Sharma, Rajnish N. & Flay, Richard G.J., 2013. "Wind tunnel testing of a wind turbine with telescopic blades: The influence of blade extension," Energy, Elsevier, vol. 53(C), pages 22-32.
    10. Hiendro, Ayong & Kurnianto, Rudi & Rajagukguk, Managam & Simanjuntak, Yohannes M. & Junaidi,, 2013. "Techno-economic analysis of photovoltaic/wind hybrid system for onshore/remote area in Indonesia," Energy, Elsevier, vol. 59(C), pages 652-657.
    11. Shen, Xin & Chen, Jin-Ge & Zhu, Xiao-Cheng & Liu, Peng-Yin & Du, Zhao-Hui, 2015. "Multi-objective optimization of wind turbine blades using lifting surface method," Energy, Elsevier, vol. 90(P1), pages 1111-1121.
    12. Liu, Wenyi, 2016. "Design and kinetic analysis of wind turbine blade-hub-tower coupled system," Renewable Energy, Elsevier, vol. 94(C), pages 547-557.
    13. Nejra Beganovic & Jackson G. Njiri & Dirk Söffker, 2018. "Reduction of Structural Loads in Wind Turbines Based on an Adapted Control Strategy Concerning Online Fatigue Damage Evaluation Models," Energies, MDPI, vol. 11(12), pages 1-15, December.
    14. Lanzafame, R. & Mauro, S. & Messina, M., 2013. "Wind turbine CFD modeling using a correlation-based transitional model," Renewable Energy, Elsevier, vol. 52(C), pages 31-39.
    15. Derafshian, Mehdi & Amjady, Nima, 2015. "Optimal design of power system stabilizer for power systems including doubly fed induction generator wind turbines," Energy, Elsevier, vol. 84(C), pages 1-14.
    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. Khazar Hayat & Shafaqat Siddique & Tipu Sultan & Hafiz T. Ali & Fahed A. Aloufi & Riyadh F. Halawani, 2022. "Effect of Spar Design Optimization on the Mass and Cost of a Large-Scale Composite Wind Turbine Blade," Energies, MDPI, vol. 15(15), pages 1-17, August.
    18. Wu, Baigong & Zhang, Xueming & Chen, Jianmei & Xu, Mingqi & Li, Shuangxin & Li, Guangzhe, 2013. "Design of high-efficient and universally applicable blades of tidal stream turbine," Energy, Elsevier, vol. 60(C), pages 187-194.
    19. Tugce Demirdelen & Pırıl Tekin & Inayet Ozge Aksu & Firat Ekinci, 2019. "The Prediction Model of Characteristics for Wind Turbines Based on Meteorological Properties Using Neural Network Swarm Intelligence," Sustainability, MDPI, vol. 11(17), pages 1-18, September.
    20. Singh, Ronit K. & Ahmed, M. Rafiuddin, 2013. "Blade design and performance testing of a small wind turbine rotor for low wind speed applications," Renewable Energy, Elsevier, vol. 50(C), pages 812-819.

    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:88:y:2016:i:c:p:112-119. 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.