Performance-based design of wind turbines for typhoons

The probability of buckling failure of the wind turbine tower due to typhoons or extreme wind speeds is investigated. The typhoons were simulated using Monte Carlo method and the Generalized Extreme Value (GEV) distribution. The parameters fo the GEV were estimated from recorded 40-year annual extre...

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Main Authors: Garciano, Lessandro Estelito O., Maruyama, Osamu, Koike, Takeshi
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Published: Animo Repository 2005
Online Access:https://animorepository.dlsu.edu.ph/faculty_research/6118
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Institution: De La Salle University
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spelling oai:animorepository.dlsu.edu.ph:faculty_research-67462022-05-20T05:43:54Z Performance-based design of wind turbines for typhoons Garciano, Lessandro Estelito O. Maruyama, Osamu Koike, Takeshi The probability of buckling failure of the wind turbine tower due to typhoons or extreme wind speeds is investigated. The typhoons were simulated using Monte Carlo method and the Generalized Extreme Value (GEV) distribution. The parameters fo the GEV were estimated from recorded 40-year annual extreme wind speeds from a weather station the nearest the proposed wind farm. It is assumed that during strong typhoons, buckling of the tower occurs first before uplift failure of the footing therefore were assume a very small value for uplift failure. The probability of fatigue failure of a wind turbined blade is also analyzed using fracture mechanics. A stationary stochastic wind load process based on the Kaimal spectrum is simulated. The spectrum is obtained using 10-minute wind speeds gathered from a proposed wind farm in the Philippines. Finally, based on these three failure modes the probability of failure of the wind turbine system is determined. 2005-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/6118 Faculty Research Work Animo Repository
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
description The probability of buckling failure of the wind turbine tower due to typhoons or extreme wind speeds is investigated. The typhoons were simulated using Monte Carlo method and the Generalized Extreme Value (GEV) distribution. The parameters fo the GEV were estimated from recorded 40-year annual extreme wind speeds from a weather station the nearest the proposed wind farm. It is assumed that during strong typhoons, buckling of the tower occurs first before uplift failure of the footing therefore were assume a very small value for uplift failure. The probability of fatigue failure of a wind turbined blade is also analyzed using fracture mechanics. A stationary stochastic wind load process based on the Kaimal spectrum is simulated. The spectrum is obtained using 10-minute wind speeds gathered from a proposed wind farm in the Philippines. Finally, based on these three failure modes the probability of failure of the wind turbine system is determined.
format text
author Garciano, Lessandro Estelito O.
Maruyama, Osamu
Koike, Takeshi
spellingShingle Garciano, Lessandro Estelito O.
Maruyama, Osamu
Koike, Takeshi
Performance-based design of wind turbines for typhoons
author_facet Garciano, Lessandro Estelito O.
Maruyama, Osamu
Koike, Takeshi
author_sort Garciano, Lessandro Estelito O.
title Performance-based design of wind turbines for typhoons
title_short Performance-based design of wind turbines for typhoons
title_full Performance-based design of wind turbines for typhoons
title_fullStr Performance-based design of wind turbines for typhoons
title_full_unstemmed Performance-based design of wind turbines for typhoons
title_sort performance-based design of wind turbines for typhoons
publisher Animo Repository
publishDate 2005
url https://animorepository.dlsu.edu.ph/faculty_research/6118
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