Power output prediction for LM wind turbine blade using blade element momentum theory and GH bladed software

The blade element momentum theory with Prandtl's tip loss and Glauert's correction factors was utilized to compute the power coefficient and to predict the power output of LM rotor blade as a function of hub wind speed ranging from 3 m/s to 25 m/s. The blade length is 43.8 m and consists o...

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Main Authors: Augusto, Gerardo L., Culaba, Alvin B., Chen, W.
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Published: Animo Repository 2019
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Online Access:https://animorepository.dlsu.edu.ph/faculty_research/3701
https://animorepository.dlsu.edu.ph/context/faculty_research/article/4703/type/native/viewcontent/012098.html
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spelling oai:animorepository.dlsu.edu.ph:faculty_research-47032021-09-24T01:48:29Z Power output prediction for LM wind turbine blade using blade element momentum theory and GH bladed software Augusto, Gerardo L. Culaba, Alvin B. Chen, W. The blade element momentum theory with Prandtl's tip loss and Glauert's correction factors was utilized to compute the power coefficient and to predict the power output of LM rotor blade as a function of hub wind speed ranging from 3 m/s to 25 m/s. The blade length is 43.8 m and consists of five (5) different airfoils. The design tip speed ratio is 8.65 suitable for Class IIA wind turbine which can generate a capacity of 2.5 MW at rated speed of 16 rpm using permanent magnet direct-drive wind turbine generator. The thrust force and driving force profiles in terms of dimensionless blade length as well as the power coefficient and predicted power output were examined and compared with the theoretical equations derived from GH Bladed. Numerical results indicate that there are some degrees of similarities with GH Bladed software output having a maximum power coefficient of 0.49. © Published under licence by IOP Publishing Ltd. 2019-07-02T07:00:00Z text text/html https://animorepository.dlsu.edu.ph/faculty_research/3701 info:doi/10.1088/1755-1315/268/1/012098 https://animorepository.dlsu.edu.ph/context/faculty_research/article/4703/type/native/viewcontent/012098.html Faculty Research Work Animo Repository Wind turbines Thermal electromotive force Turbines—Parts Green technology Energy conservation Mechanical Engineering
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
topic Wind turbines
Thermal electromotive force
Turbines—Parts
Green technology
Energy conservation
Mechanical Engineering
spellingShingle Wind turbines
Thermal electromotive force
Turbines—Parts
Green technology
Energy conservation
Mechanical Engineering
Augusto, Gerardo L.
Culaba, Alvin B.
Chen, W.
Power output prediction for LM wind turbine blade using blade element momentum theory and GH bladed software
description The blade element momentum theory with Prandtl's tip loss and Glauert's correction factors was utilized to compute the power coefficient and to predict the power output of LM rotor blade as a function of hub wind speed ranging from 3 m/s to 25 m/s. The blade length is 43.8 m and consists of five (5) different airfoils. The design tip speed ratio is 8.65 suitable for Class IIA wind turbine which can generate a capacity of 2.5 MW at rated speed of 16 rpm using permanent magnet direct-drive wind turbine generator. The thrust force and driving force profiles in terms of dimensionless blade length as well as the power coefficient and predicted power output were examined and compared with the theoretical equations derived from GH Bladed. Numerical results indicate that there are some degrees of similarities with GH Bladed software output having a maximum power coefficient of 0.49. © Published under licence by IOP Publishing Ltd.
format text
author Augusto, Gerardo L.
Culaba, Alvin B.
Chen, W.
author_facet Augusto, Gerardo L.
Culaba, Alvin B.
Chen, W.
author_sort Augusto, Gerardo L.
title Power output prediction for LM wind turbine blade using blade element momentum theory and GH bladed software
title_short Power output prediction for LM wind turbine blade using blade element momentum theory and GH bladed software
title_full Power output prediction for LM wind turbine blade using blade element momentum theory and GH bladed software
title_fullStr Power output prediction for LM wind turbine blade using blade element momentum theory and GH bladed software
title_full_unstemmed Power output prediction for LM wind turbine blade using blade element momentum theory and GH bladed software
title_sort power output prediction for lm wind turbine blade using blade element momentum theory and gh bladed software
publisher Animo Repository
publishDate 2019
url https://animorepository.dlsu.edu.ph/faculty_research/3701
https://animorepository.dlsu.edu.ph/context/faculty_research/article/4703/type/native/viewcontent/012098.html
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