Optimization of thick wind turbine airfoils using a genetic algorithm
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jeong, Jae-Ho | - |
dc.contributor.author | Kim, Soo-Hyun | - |
dc.date.available | 2020-10-20T06:45:29Z | - |
dc.date.created | 2020-06-11 | - |
dc.date.issued | 2018-07 | - |
dc.identifier.issn | 1738-494X | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/78632 | - |
dc.description.abstract | In this study, we optimized thick airfoils for wind turbines using a genetic algorithm (GA) coupled with computational fluid dynamics (CFD) and geometric parameterization based on the Akima curve fitting method. Complex and separated flow fields around the airfoils of each design generation were obtained by performing Reynolds-averaged Navier-Stokes steady flow simulation based on the in-house code of an implicit high-resolution upwind relaxation scheme for finite volume formulation. Airfoils with 40 % and 35 % thickness values were selected as baseline airfoils. An airfoil becomes thicker toward the blade root area, thereby increasing blade stiffness and lowering its aerodynamic efficiency. We optimized the airfoils to simultaneously maximize aerodynamic efficiency and blade thickness. The design variables and objective function correspond to the airfoil coordinates and the lift-to-drag ratio at a high angle of attack with airfoil thickness constraints. We improved the lift-to-drag ratio by 30 %similar to 40 % compared with the baseline airfoils by performing optimization using GA and CFD. The improved airfoils are expected to achieve a 5 %similar to 11 % higher torque coefficient while minimizing the thrust coefficient near the blade root area. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | KOREAN SOC MECHANICAL ENGINEERS | - |
dc.relation.isPartOf | JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY | - |
dc.title | Optimization of thick wind turbine airfoils using a genetic algorithm | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.wosid | 000439063800023 | - |
dc.identifier.doi | 10.1007/s12206-018-0622-x | - |
dc.identifier.bibliographicCitation | JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, v.32, no.7, pp.3191 - 3199 | - |
dc.description.isOpenAccess | N | - |
dc.citation.endPage | 3199 | - |
dc.citation.startPage | 3191 | - |
dc.citation.title | JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY | - |
dc.citation.volume | 32 | - |
dc.citation.number | 7 | - |
dc.contributor.affiliatedAuthor | Jeong, Jae-Ho | - |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | Wind turbine blade | - |
dc.subject.keywordAuthor | Thick airfoil | - |
dc.subject.keywordAuthor | Genetic algorithm | - |
dc.subject.keywordAuthor | Optimization | - |
dc.subject.keywordAuthor | Computational fluid dynamics | - |
dc.subject.keywordAuthor | Vortex separation | - |
dc.subject.keywordPlus | TURBULENCE MODELS | - |
dc.subject.keywordPlus | DESIGN | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalWebOfScienceCategory | Engineering, Mechanical | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.description.journalRegisteredClass | kci | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
1342, Seongnam-daero, Sujeong-gu, Seongnam-si, Gyeonggi-do, Republic of Korea(13120)031-750-5114
COPYRIGHT 2020 Gachon University All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.