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Management of Wind Power Generation with the Attachment of Wind Tunnel

Author

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  • Ulan Dakeev

    () (University of Northern Iowa)

Abstract

This study presents a new approach in which a wind tunnel apparatus is used to identify the efficiency of power output by a wind turbine with a 400W rating. Moreover, the study addresses a significant issue concerning the turbulence formed by a natural wind which can be eliminated or reduced with the use of the proposed wind tunnel. Wind power characteristics that indicate power output versus wind velocity are obtained by performing a number of case studies. The case studies include normal operation of the experimental wind turbine at variable wind velocity values with and without proposed wind tunnel. A certain level of turbulence is formed and the wind turbine power output is measured and recorded for a number of cases. The statistical t-Test and ANOVA analyses showed that the suggested approach could be useful for wind turbine manufacturers to evaluate the degree that contributes to the variability of renewable energy production. Besides, the results may be helpful to support educational institutions in providing renewable energy awareness in Iowa and in the US by providing adequate information for the selection and handling of the parameters that control the variability of the energy needs.

Suggested Citation

  • Ulan Dakeev, 2011. "Management of Wind Power Generation with the Attachment of Wind Tunnel," IBSU Scientific Journal, International Black Sea University, vol. 5(2), pages 71-82.
  • Handle: RePEc:ibl:journl:v:5:y:2011:i:2:p:71-82
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    File URL: https://journal.ibsu.edu.ge/index.php/ibsusj/article/download/201/201
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    References listed on IDEAS

    as
    1. Michael D Lord & Annette L Ranft, 2000. "Organizational Learning About New International Markets: Exploring the Internal Transfer of Local Market Knowledge," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 31(4), pages 573-589, December.
    Full references (including those not matched with items on IDEAS)

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    Keywords

    Wind Turbines; Wind Tunnels; Renewable Energy; Engineering; Wind Energy; Energy;

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • Q29 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Other

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