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A reference open data vertical axis wind turbine, with individual pitch control, for code validation purposes

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  • Bayati, Ilmas
  • Foletti, Stefano
  • Tarsitano, Davide
  • Belloli, Marco

Abstract

This paper presents the features and capabilities of a vertical axis wind turbine (VAWT) designed and built by the authors, which is meant to be the reference machine for open data code validation purposes under the project VODCA, VAWT Open Data for Code Assessment. The machine, whose design details are provided openly and summarized in the present document, has Individual Pitch Control (IPC) capability and it will be used for wind tunnel tests. Related results will be shared with participants who want to validate their own code, in terms of prediction of the aerodynamics or assessment of IPC strategies. The article reports a comprehensive overview of the state of the art of laboratory tests for VAWTs as well as the motivation of VODCA project, further to the need of code validation against experimental tests in controlled environment. The various phases of the project are also presented. Furthermore, the design of the carbon fiber blades, the structural components, as well as the mechatronics of the machine are summarized in this paper. Moreover, the experimental characterization of the machine's effective capabilities and properties, carried out after the completion of the building process, is reported and then the testing possibilities are defined and discussed.

Suggested Citation

  • Bayati, Ilmas & Foletti, Stefano & Tarsitano, Davide & Belloli, Marco, 2018. "A reference open data vertical axis wind turbine, with individual pitch control, for code validation purposes," Renewable Energy, Elsevier, vol. 115(C), pages 711-720.
  • Handle: RePEc:eee:renene:v:115:y:2018:i:c:p:711-720
    DOI: 10.1016/j.renene.2017.08.090
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    References listed on IDEAS

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    1. Myhr, Anders & Bjerkseter, Catho & Ågotnes, Anders & Nygaard, Tor A., 2014. "Levelised cost of energy for offshore floating wind turbines in a life cycle perspective," Renewable Energy, Elsevier, vol. 66(C), pages 714-728.
    2. Battisti, L. & Benini, E. & Brighenti, A. & Raciti Castelli, M. & Dell'Anna, S. & Dossena, V. & Persico, G. & Schmidt Paulsen, U. & Pedersen, T.F., 2016. "Wind tunnel testing of the DeepWind demonstrator in design and tilted operating conditions," Energy, Elsevier, vol. 111(C), pages 484-497.
    3. Borg, Michael & Collu, Maurizio & Kolios, Athanasios, 2014. "Offshore floating vertical axis wind turbines, dynamics modelling state of the art. Part II: Mooring line and structural dynamics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 1226-1234.
    4. Borg, Michael & Shires, Andrew & Collu, Maurizio, 2014. "Offshore floating vertical axis wind turbines, dynamics modelling state of the art. part I: Aerodynamics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 1214-1225.
    5. Jain, Palash & Abhishek, A., 2016. "Performance prediction and fundamental understanding of small scale vertical axis wind turbine with variable amplitude blade pitching," Renewable Energy, Elsevier, vol. 97(C), pages 97-113.
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    Cited by:

    1. Zhang, Qiang & Bashir, Musa & Miao, Weipao & Liu, Qingsong & Li, Chun & Yue, Minnan & Wang, Peilin, 2023. "Aerodynamic analysis of a novel pitch control strategy and parameter combination for vertical axis wind turbines," Renewable Energy, Elsevier, vol. 216(C).
    2. Gupta, Antim & Abderrahmane, Hamid Ait & Janajreh, Isam, 2024. "Flow analysis and sensitivity study of vertical-axis wind turbine under variable pitching," Applied Energy, Elsevier, vol. 358(C).

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