Please use this identifier to cite or link to this item:
http://hdl.handle.net/10553/54625
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Méndez, J. | en_US |
dc.contributor.author | Greiner, D. | en_US |
dc.date.accessioned | 2019-02-18T12:02:41Z | - |
dc.date.available | 2019-02-18T12:02:41Z | - |
dc.date.issued | 2006 | en_US |
dc.identifier.isbn | 1905088094 | |
dc.identifier.isbn | 9781905088096 | |
dc.identifier.uri | http://hdl.handle.net/10553/54625 | - |
dc.description.abstract | This paper shows a method to compute the chord and twist distributions in wind power blades. The distributions are computed to maximize the mean expected power depending on the Weibull wind distribution at a specific site. This approach avoids assumptions about optimal attack angle related to the ratio between the lift to drag coefficients. To optimize chord and twist distributions, an efficient implementation of the Blade-Element and Momentum theory is used. In the implementation, the sophistication is dismiss to reduce computational cost. The time required to evaluate the forces in a typical turbine is in the order of milliseconds, which allows massive evaluation of trial turbines. The implementation is validated by comparing power prediction with the experimental data of the Risø test turbine. High quality in results is obtained until the stall zone, about wind speed of 13m/s proximately. Predictions are used to compute the mean power that is used as the fitness function in a genetic algorithm. An application is presented to optimize the blade of this test turbine for a specified wind distribution. © 2006 Civil-Comp Press. | |
dc.language | eng | en_US |
dc.relation.ispartof | Proceedings of the 5th International Conference on Engineering Computational Technology | en_US |
dc.source | Proceedings of the 5th International Conference on Engineering Computational Technology | en_US |
dc.title | Wind blade chord and twist angle optimization using genetic algorithms | en_US |
dc.type | info:eu-repo/semantics/conferenceObject | en_US |
dc.type | ConferenceObject | en_US |
dc.relation.conference | 5th International Conference on Engineering Computational Technology, ECT 2006 | |
dc.identifier.scopus | 84858629057 | - |
dc.contributor.authorscopusid | 55377382200 | - |
dc.contributor.authorscopusid | 56268125800 | - |
dc.type2 | Actas de congresos | en_US |
dc.date.coverdate | Diciembre 2006 | |
dc.identifier.conferenceid | events121431 | |
dc.identifier.ulpgc | Sí | es |
item.fulltext | Sin texto completo | - |
item.grantfulltext | none | - |
crisitem.event.eventsstartdate | 12-09-2006 | - |
crisitem.event.eventsenddate | 15-09-2006 | - |
crisitem.author.dept | GIR SIANI: Computación Evolutiva y Aplicaciones | - |
crisitem.author.dept | IU Sistemas Inteligentes y Aplicaciones Numéricas | - |
crisitem.author.dept | Departamento de Ingeniería Civil | - |
crisitem.author.orcid | 0000-0002-4132-7144 | - |
crisitem.author.parentorg | IU Sistemas Inteligentes y Aplicaciones Numéricas | - |
crisitem.author.fullName | Greiner Sánchez, David Juan | - |
Appears in Collections: | Actas de congresos |
SCOPUSTM
Citations
36
checked on Nov 24, 2024
Page view(s)
78
checked on Mar 18, 2023
Google ScholarTM
Check
Altmetric
Share
Export metadata
Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.