Fluid Mechanics

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A Wind Climate Dynamic Modeling and Control Using Weibull and Extreme Value Distribution System

Received: 04 December 2018    Accepted: 26 February 2019    Published: 08 April 2019
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Abstract

The dynamics of wind velocity data modeling plays a crucial role for the estimation of wind load and wind energy. Apart from these, the same modeling must also be used in the load cycle analysis of fatigue failure in slender structures to address periodic vortex shedding. Most authors fitted wind velocities of various locations using Weibull model. However, they did not check the validity of the model in describing the range of extreme wind velocity, which is not clear from the usual graphical representation. In this work, the validity of Weibull model for describing parent as well as extreme hourly mean wind velocity data for four places on the east coast of India has been checked; Weibull model has been found to become inappropriate for describing wind velocity in the range of extremes.

DOI 10.11648/j.fm.20190501.12
Published in Fluid Mechanics (Volume 5, Issue 1, June 2019)
Page(s) 8-14
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This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Weibull Distribution, Wind Velocities, Non-Exceedance Probability, Gumbel Distribution, Chauvenet’s Criterion, Probability Factor

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Author Information
  • Laboratoire d’Energies Renouvelables, école Supérieure Polytechnique de Dakar, Dakar, Senegal

  • NAAM Research Group, King Abdulaziz University, Jeddah, Saudi Arabia

  • Department of Physiological Sciences, College of Medicine, Alfaisal University, Riyadh, Saudi Arabia

  • Nuclear Power Corporation of India Limited, Mumbai, India

  • Department of Electrical and Computer Engineering, Northsouth University, Taka, Bangladesh

  • Department of Electronic and Automatic Engineering, Covenant University, Ota Ogun State, Nigeria

  • Parallel CFD and Optimization Unit, Lab. of Thermal Turbomachines, School of Mechanical Engineering, National Technical University of Athens, Athens, Greece; Department of Electrical and Computer Engineering, Asia University, Mssbaai, Taiwan, China

  • Department of Electrical and Computer Engineering, Asia University, Mssbaai, Taiwan, China

Cite This Article
  • APA Style

    Tim Chen, Alfred Hausladen, Jonathan Sstamler, Dneil Granger, Abu Hurayraasiv Khanand, et al. (2019). A Wind Climate Dynamic Modeling and Control Using Weibull and Extreme Value Distribution System. Fluid Mechanics, 5(1), 8-14. https://doi.org/10.11648/j.fm.20190501.12

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    ACS Style

    Tim Chen; Alfred Hausladen; Jonathan Sstamler; Dneil Granger; Abu Hurayraasiv Khanand, et al. A Wind Climate Dynamic Modeling and Control Using Weibull and Extreme Value Distribution System. Fluid Mech. 2019, 5(1), 8-14. doi: 10.11648/j.fm.20190501.12

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    AMA Style

    Tim Chen, Alfred Hausladen, Jonathan Sstamler, Dneil Granger, Abu Hurayraasiv Khanand, et al. A Wind Climate Dynamic Modeling and Control Using Weibull and Extreme Value Distribution System. Fluid Mech. 2019;5(1):8-14. doi: 10.11648/j.fm.20190501.12

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  • @article{10.11648/j.fm.20190501.12,
      author = {Tim Chen and Alfred Hausladen and Jonathan Sstamler and Dneil Granger and Abu Hurayraasiv Khanand and Johncy Cheng and Cwc Chen and Chariklia Ageorgopoulou Kyriakos},
      title = {A Wind Climate Dynamic Modeling and Control Using Weibull and Extreme Value Distribution System},
      journal = {Fluid Mechanics},
      volume = {5},
      number = {1},
      pages = {8-14},
      doi = {10.11648/j.fm.20190501.12},
      url = {https://doi.org/10.11648/j.fm.20190501.12},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.fm.20190501.12},
      abstract = {The dynamics of wind velocity data modeling plays a crucial role for the estimation of wind load and wind energy. Apart from these, the same modeling must also be used in the load cycle analysis of fatigue failure in slender structures to address periodic vortex shedding. Most authors fitted wind velocities of various locations using Weibull model. However, they did not check the validity of the model in describing the range of extreme wind velocity, which is not clear from the usual graphical representation. In this work, the validity of Weibull model for describing parent as well as extreme hourly mean wind velocity data for four places on the east coast of India has been checked; Weibull model has been found to become inappropriate for describing wind velocity in the range of extremes.},
     year = {2019}
    }
    

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    AB  - The dynamics of wind velocity data modeling plays a crucial role for the estimation of wind load and wind energy. Apart from these, the same modeling must also be used in the load cycle analysis of fatigue failure in slender structures to address periodic vortex shedding. Most authors fitted wind velocities of various locations using Weibull model. However, they did not check the validity of the model in describing the range of extreme wind velocity, which is not clear from the usual graphical representation. In this work, the validity of Weibull model for describing parent as well as extreme hourly mean wind velocity data for four places on the east coast of India has been checked; Weibull model has been found to become inappropriate for describing wind velocity in the range of extremes.
    VL  - 5
    IS  - 1
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