Influence of wind shear uncertainty in long-term extreme responses of an offshore monopile wind turbine

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In the field of stochastic dynamics of marine structures, the determination of long-term extreme responses is a crucial aspect to ensure the desired level of structural reliability. The calculation of these responses requires precise knowledge of the environmental conditions and reliable methods to...

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Detalles Bibliográficos
Autores: Barreto D., Karimirad M., Ortega A.
Formato: artículo
Fecha de Publicación:2020
Institución:Consejo Nacional de Ciencia Tecnología e Innovación
Repositorio:CONCYTEC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.concytec.gob.pe:20.500.12390/2632
Enlace del recurso:https://hdl.handle.net/20.500.12390/2632
Nivel de acceso:acceso abierto
Materia:Wind shear
Dynamic response
Environmental contour method
Offshore wind turbines
Probabilistic design
Reliability analysis
http://purl.org/pe-repo/ocde/ford#
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oai_identifier_str oai:repositorio.concytec.gob.pe:20.500.12390/2632
network_acronym_str CONC
network_name_str CONCYTEC-Institucional
repository_id_str 4689
dc.title.none.fl_str_mv Influence of wind shear uncertainty in long-term extreme responses of an offshore monopile wind turbine
title Influence of wind shear uncertainty in long-term extreme responses of an offshore monopile wind turbine
spellingShingle Influence of wind shear uncertainty in long-term extreme responses of an offshore monopile wind turbine
Barreto D.
Wind shear
Dynamic response
Environmental contour method
Offshore wind turbines
Probabilistic design
Reliability analysis
http://purl.org/pe-repo/ocde/ford#
title_short Influence of wind shear uncertainty in long-term extreme responses of an offshore monopile wind turbine
title_full Influence of wind shear uncertainty in long-term extreme responses of an offshore monopile wind turbine
title_fullStr Influence of wind shear uncertainty in long-term extreme responses of an offshore monopile wind turbine
title_full_unstemmed Influence of wind shear uncertainty in long-term extreme responses of an offshore monopile wind turbine
title_sort Influence of wind shear uncertainty in long-term extreme responses of an offshore monopile wind turbine
author Barreto D.
author_facet Barreto D.
Karimirad M.
Ortega A.
author_role author
author2 Karimirad M.
Ortega A.
author2_role author
author
dc.contributor.author.fl_str_mv Barreto D.
Karimirad M.
Ortega A.
dc.subject.none.fl_str_mv Wind shear
topic Wind shear
Dynamic response
Environmental contour method
Offshore wind turbines
Probabilistic design
Reliability analysis
http://purl.org/pe-repo/ocde/ford#
dc.subject.es_PE.fl_str_mv Dynamic response
Environmental contour method
Offshore wind turbines
Probabilistic design
Reliability analysis
dc.subject.ocde.none.fl_str_mv http://purl.org/pe-repo/ocde/ford#
description In the field of stochastic dynamics of marine structures, the determination of long-term extreme responses is a crucial aspect to ensure the desired level of structural reliability. The calculation of these responses requires precise knowledge of the environmental conditions and reliable methods to predict the values associated with a reliability target level. While there is a very precise method to determine the value of these extreme values, e. g. the full long-term analysis (FLTA), this approach is computationally expensive. Then, approximated methods are needed.One practical approach for the determination of the most relevant environmental conditions for extreme calculation is the environmental contour method (ECM). However, some limitations have been detected when this method is used for offshore structures that consider survival strategies e. g. offshore wind turbines (OWT). Lastly, a modified ECM procedure (MECM) has been developed with the purpose to bypass the limitations of the traditional ECM. This method is based on short-term simulations and through an iterative process by testing many environmental contours in the operational range allows finding an important wind speed with its corresponding return period and thus, the problem that traditional ECM has, is avoided.The environmental conditions, which are represented by a large number of parameters, are also an important aspect of extreme calculation. Whereas some of them are treated as stochastic values, some are considered deterministic and, therefore the existence of uncertainties in their measured/estimated values is inevitable. These uncertainties are addressed by adopting values recommended by standards and guidelines and, in practice, it is often necessary to be conservative when there is a lack of information about the specific site studied. Therefore, the understanding of the impact that these uncertainties can have on the loads/responses that govern the design of offshore structures, especially wind turbines, is of great relevance. In this work, the influence of uncertainty in the wind shear coefficient (WSC) is studied. This parameter is directly related to one critical environmental condition i. e. wind speed at hub height, and its influence in power production and fatigue loads has been documented in the literature, but, few cases have addressed their influence in bottom fixed OWT responses.This work seeks to highlight the relevance of an accurate selection of shear coefficient and, its influence on the probabilistic analysis of a bottom fixed OWT taking into account that considerable variations from recommended values may occur. Through the use of coupled simulations in FAST, the NREL 5MW wind turbine will be subjected to varying wind shear conditions, and the corresponding 50-yr long-term responses will be calculated considering the MECM to take into account the influence of the wind turbine survival mode. The extreme values are fitted from a Global Maxima Method (GMM). Finally, it is sought to relate the uncertainty in a relevant input parameter (i. e. WSC) with the uncertainties propagated to the output parameters (i. e. extrapolated long-term extreme responses).
publishDate 2020
dc.date.accessioned.none.fl_str_mv 2024-05-30T23:13:38Z
dc.date.available.none.fl_str_mv 2024-05-30T23:13:38Z
dc.date.issued.fl_str_mv 2020
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12390/2632
dc.identifier.scopus.none.fl_str_mv 2-s2.0-85099286522
url https://hdl.handle.net/20.500.12390/2632
identifier_str_mv 2-s2.0-85099286522
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.ispartof.none.fl_str_mv Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering - OMAE
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv American Society of Mechanical Engineers (ASME)
publisher.none.fl_str_mv American Society of Mechanical Engineers (ASME)
dc.source.none.fl_str_mv reponame:CONCYTEC-Institucional
instname:Consejo Nacional de Ciencia Tecnología e Innovación
instacron:CONCYTEC
instname_str Consejo Nacional de Ciencia Tecnología e Innovación
instacron_str CONCYTEC
institution CONCYTEC
reponame_str CONCYTEC-Institucional
collection CONCYTEC-Institucional
repository.name.fl_str_mv Repositorio Institucional CONCYTEC
repository.mail.fl_str_mv repositorio@concytec.gob.pe
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spelling Publicationrp06779600rp06780600rp06778600Barreto D.Karimirad M.Ortega A.2024-05-30T23:13:38Z2024-05-30T23:13:38Z2020https://hdl.handle.net/20.500.12390/26322-s2.0-85099286522In the field of stochastic dynamics of marine structures, the determination of long-term extreme responses is a crucial aspect to ensure the desired level of structural reliability. The calculation of these responses requires precise knowledge of the environmental conditions and reliable methods to predict the values associated with a reliability target level. While there is a very precise method to determine the value of these extreme values, e. g. the full long-term analysis (FLTA), this approach is computationally expensive. Then, approximated methods are needed.One practical approach for the determination of the most relevant environmental conditions for extreme calculation is the environmental contour method (ECM). However, some limitations have been detected when this method is used for offshore structures that consider survival strategies e. g. offshore wind turbines (OWT). Lastly, a modified ECM procedure (MECM) has been developed with the purpose to bypass the limitations of the traditional ECM. This method is based on short-term simulations and through an iterative process by testing many environmental contours in the operational range allows finding an important wind speed with its corresponding return period and thus, the problem that traditional ECM has, is avoided.The environmental conditions, which are represented by a large number of parameters, are also an important aspect of extreme calculation. Whereas some of them are treated as stochastic values, some are considered deterministic and, therefore the existence of uncertainties in their measured/estimated values is inevitable. These uncertainties are addressed by adopting values recommended by standards and guidelines and, in practice, it is often necessary to be conservative when there is a lack of information about the specific site studied. Therefore, the understanding of the impact that these uncertainties can have on the loads/responses that govern the design of offshore structures, especially wind turbines, is of great relevance. In this work, the influence of uncertainty in the wind shear coefficient (WSC) is studied. This parameter is directly related to one critical environmental condition i. e. wind speed at hub height, and its influence in power production and fatigue loads has been documented in the literature, but, few cases have addressed their influence in bottom fixed OWT responses.This work seeks to highlight the relevance of an accurate selection of shear coefficient and, its influence on the probabilistic analysis of a bottom fixed OWT taking into account that considerable variations from recommended values may occur. Through the use of coupled simulations in FAST, the NREL 5MW wind turbine will be subjected to varying wind shear conditions, and the corresponding 50-yr long-term responses will be calculated considering the MECM to take into account the influence of the wind turbine survival mode. The extreme values are fitted from a Global Maxima Method (GMM). Finally, it is sought to relate the uncertainty in a relevant input parameter (i. e. WSC) with the uncertainties propagated to the output parameters (i. e. extrapolated long-term extreme responses).Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - ConcytecengAmerican Society of Mechanical Engineers (ASME)Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering - OMAEinfo:eu-repo/semantics/openAccessWind shearDynamic response-1Environmental contour method-1Offshore wind turbines-1Probabilistic design-1Reliability analysis-1http://purl.org/pe-repo/ocde/ford#-1Influence of wind shear uncertainty in long-term extreme responses of an offshore monopile wind turbineinfo:eu-repo/semantics/articlereponame:CONCYTEC-Institucionalinstname:Consejo Nacional de Ciencia Tecnología e Innovacióninstacron:CONCYTEC20.500.12390/2632oai:repositorio.concytec.gob.pe:20.500.12390/26322024-05-30 15:46:11.444http://purl.org/coar/access_right/c_14cbinfo:eu-repo/semantics/closedAccessmetadata only accesshttps://repositorio.concytec.gob.peRepositorio Institucional CONCYTECrepositorio@concytec.gob.pe#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#<Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="f5969d19-0c46-44e2-b474-91ade1ea17c2"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>Influence of wind shear uncertainty in long-term extreme responses of an offshore monopile wind turbine</Title> <PublishedIn> <Publication> <Title>Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering - OMAE</Title> </Publication> </PublishedIn> <PublicationDate>2020</PublicationDate> <SCP-Number>2-s2.0-85099286522</SCP-Number> <Authors> <Author> <DisplayName>Barreto D.</DisplayName> <Person id="rp06779" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Karimirad M.</DisplayName> <Person id="rp06780" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Ortega A.</DisplayName> <Person id="rp06778" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>American Society of Mechanical Engineers (ASME)</DisplayName> <OrgUnit /> </Publisher> </Publishers> <Keyword>Wind shear</Keyword> <Keyword>Dynamic response</Keyword> <Keyword>Environmental contour method</Keyword> <Keyword>Offshore wind turbines</Keyword> <Keyword>Probabilistic design</Keyword> <Keyword>Reliability analysis</Keyword> <Abstract>In the field of stochastic dynamics of marine structures, the determination of long-term extreme responses is a crucial aspect to ensure the desired level of structural reliability. The calculation of these responses requires precise knowledge of the environmental conditions and reliable methods to predict the values associated with a reliability target level. While there is a very precise method to determine the value of these extreme values, e. g. the full long-term analysis (FLTA), this approach is computationally expensive. Then, approximated methods are needed.One practical approach for the determination of the most relevant environmental conditions for extreme calculation is the environmental contour method (ECM). However, some limitations have been detected when this method is used for offshore structures that consider survival strategies e. g. offshore wind turbines (OWT). Lastly, a modified ECM procedure (MECM) has been developed with the purpose to bypass the limitations of the traditional ECM. This method is based on short-term simulations and through an iterative process by testing many environmental contours in the operational range allows finding an important wind speed with its corresponding return period and thus, the problem that traditional ECM has, is avoided.The environmental conditions, which are represented by a large number of parameters, are also an important aspect of extreme calculation. Whereas some of them are treated as stochastic values, some are considered deterministic and, therefore the existence of uncertainties in their measured/estimated values is inevitable. These uncertainties are addressed by adopting values recommended by standards and guidelines and, in practice, it is often necessary to be conservative when there is a lack of information about the specific site studied. Therefore, the understanding of the impact that these uncertainties can have on the loads/responses that govern the design of offshore structures, especially wind turbines, is of great relevance. In this work, the influence of uncertainty in the wind shear coefficient (WSC) is studied. This parameter is directly related to one critical environmental condition i. e. wind speed at hub height, and its influence in power production and fatigue loads has been documented in the literature, but, few cases have addressed their influence in bottom fixed OWT responses.This work seeks to highlight the relevance of an accurate selection of shear coefficient and, its influence on the probabilistic analysis of a bottom fixed OWT taking into account that considerable variations from recommended values may occur. Through the use of coupled simulations in FAST, the NREL 5MW wind turbine will be subjected to varying wind shear conditions, and the corresponding 50-yr long-term responses will be calculated considering the MECM to take into account the influence of the wind turbine survival mode. The extreme values are fitted from a Global Maxima Method (GMM). Finally, it is sought to relate the uncertainty in a relevant input parameter (i. e. WSC) with the uncertainties propagated to the output parameters (i. e. extrapolated long-term extreme responses).</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication> -1
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