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

Tim Chen; Alfred Hausladen; Jonathan Sstamler; Dneil Granger; Abu Hurayraasiv Khanand; Johncy Cheng; Cwc Chen; Chariklia Ageorgopoulou Kyriakos

doi:doi:10.11648/j.fm.20190501.12

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

Tim Chen, Alfred Hausladen, Jonathan Sstamler, Dneil Granger, Abu Hurayraasiv Khanand, Johncy Cheng, Cwc Chen, Chariklia Ageorgopoulou Kyriakos

Published in Fluid Mechanics (Volume 5, Issue 1)

Received: 4 December 2018 Accepted: 26 February 2019 Published: 8 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.

Published in	Fluid Mechanics (Volume 5, Issue 1)
DOI	10.11648/j.fm.20190501.12
Page(s)	8-14
Creative Commons	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), 2019. Published by Science Publishing Group

Keywords

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

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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://article.sciencepublishinggroup.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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TY  - JOUR
T1  - A Wind Climate Dynamic Modeling and Control Using Weibull and Extreme Value Distribution System
AU  - Tim Chen
AU  - Alfred Hausladen
AU  - Jonathan Sstamler
AU  - Dneil Granger
AU  - Abu Hurayraasiv Khanand
AU  - Johncy Cheng
AU  - Cwc Chen
AU  - Chariklia Ageorgopoulou Kyriakos
Y1  - 2019/04/08
PY  - 2019
N1  - https://doi.org/10.11648/j.fm.20190501.12
DO  - 10.11648/j.fm.20190501.12
T2  - Fluid Mechanics
JF  - Fluid Mechanics
JO  - Fluid Mechanics
SP  - 8
EP  - 14
PB  - Science Publishing Group
SN  - 2575-1816
UR  - https://doi.org/10.11648/j.fm.20190501.12
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
ER  -

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Author Information

Tim Chen

Laboratoire d’Energies Renouvelables, école Supérieure Polytechnique de Dakar, Dakar, Senegal
Alfred Hausladen

NAAM Research Group, King Abdulaziz University, Jeddah, Saudi Arabia
Jonathan Sstamler

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

Nuclear Power Corporation of India Limited, Mumbai, India
Abu Hurayraasiv Khanand

Department of Electrical and Computer Engineering, Northsouth University, Taka, Bangladesh
Johncy Cheng

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

Parallel CFD and Optimization Unit, Lab. of Thermal Turbomachines, School of Mechanical Engineering, National Technical University of Athens, Athens, Greece
Chariklia Ageorgopoulou Kyriakos

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

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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

Copy | Download

@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://article.sciencepublishinggroup.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}
}

Copy | Download

TY  - JOUR
T1  - A Wind Climate Dynamic Modeling and Control Using Weibull and Extreme Value Distribution System
AU  - Tim Chen
AU  - Alfred Hausladen
AU  - Jonathan Sstamler
AU  - Dneil Granger
AU  - Abu Hurayraasiv Khanand
AU  - Johncy Cheng
AU  - Cwc Chen
AU  - Chariklia Ageorgopoulou Kyriakos
Y1  - 2019/04/08
PY  - 2019
N1  - https://doi.org/10.11648/j.fm.20190501.12
DO  - 10.11648/j.fm.20190501.12
T2  - Fluid Mechanics
JF  - Fluid Mechanics
JO  - Fluid Mechanics
SP  - 8
EP  - 14
PB  - Science Publishing Group
SN  - 2575-1816
UR  - https://doi.org/10.11648/j.fm.20190501.12
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
ER  -

Copy | Download