Zobrazeno 1 - 10
of 105
pro vyhledávání: '"Galih Bangga"'
Autor:
Galih Bangga
Publikováno v:
Frontiers in Energy Research, Vol 12 (2024)
Externí odkaz:
https://doaj.org/article/8b9e6dc23ba44bf2935036b3f665a760
Publikováno v:
Energies, Vol 16, Iss 10, p 3994 (2023)
Considering the dynamic stall effects in engineering calculations is essential for correcting the aerodynamic loads acting on wind turbines, both during power production and stand-still cases, and impacts significantly the turbine aeroelastic stabili
Externí odkaz:
https://doaj.org/article/65319988168c4ce5a86ae9b74c23ba38
Publikováno v:
Aerospace, Vol 9, Iss 12, p 824 (2022)
Gust is a common atmospheric turbulence phenomenon encountered by aircraft and is one major cause of several undesired instability problems. Although the response of aircraft to the incoming gust has been widely investigated within the subject of ext
Externí odkaz:
https://doaj.org/article/329fcea6bc4b480c9296c1790aa77be2
Autor:
Nicole Mendoza, Amy Robertson, Alan Wright, Jason Jonkman, Lu Wang, Roger Bergua, Tri Ngo, Tuhin Das, Mohammad Odeh, Kazi Mohsin, Francesc Fabregas Flavia, Benjamin Child, Galih Bangga, Matthew Fowler, Andrew Goupee, Richard Kimball, Eben Lenfest, Anthony Viselli
Publikováno v:
Energies, Vol 15, Iss 20, p 7649 (2022)
To enable the fast growth of the floating offshore wind industry, simulation models must be validated with experimental data. Floating wind model-scale experiments in wind–wave facilities have been performed over the last two decades with varying l
Externí odkaz:
https://doaj.org/article/ec4a1cf20af94ca2b253c8596a54fa69
Autor:
Galih Bangga
Publikováno v:
Energies, Vol 15, Iss 18, p 6527 (2022)
Wind energy research plays a vital role in the possibility of the success story of wind energy as one of the most promising sustainable energy sources. This continuous process has been achieved from the era of small wind turbines to the current Multi
Externí odkaz:
https://doaj.org/article/0e19250df99945eab3f00bed2009409c
Autor:
Martin Geibel, Galih Bangga
Publikováno v:
Energies, Vol 15, Iss 10, p 3773 (2022)
Data driven approaches are utilized for optimal sensor placement as well as for velocity prediction of wind turbine wakes. In this work, several methods are investigated for suitability in the clustering analysis and for predicting the time history o
Externí odkaz:
https://doaj.org/article/af9831439d414234841f8e71e40e5044
Publikováno v:
Energies, Vol 14, Iss 24, p 8224 (2021)
Accurate computation of the performance of a horizontal-axis wind turbine (HAWT) using Blade Element Momentum (BEM) based codes requires good quality aerodynamic characteristics of airfoils. This paper shows a numerical investigation of transitional
Externí odkaz:
https://doaj.org/article/b947167f510e4988ac090a9cdb60bb35
Dynamic Stall Prediction of a Pitching Airfoil using an Adjusted Two-Equation URANS Turbulence Model
Autor:
Galih Bangga, Herman Sasongko
Publikováno v:
Journal of Applied Fluid Mechanics, Vol 10, Iss 1, Pp 1-10 (2017)
The necessity in the analysis of dynamic stall becomes increasingly important due to its impact on many streamlined structures such as helicopter and wind turbine rotor blades. The present paper provides Computational Fluid Dynamics (CFD) predictions
Externí odkaz:
https://doaj.org/article/12bffebc411240aba55ad0021a813faf
Publikováno v:
Energies, Vol 13, Iss 12, p 3196 (2020)
The purpose of this paper is to estimate the H-Darrieus wind turbine aerodynamic performance, aerodynamic blade loads, and velocity profiles downstream behind the rotor. The wind turbine model is based on the rotor designed by McDonnell Aircraft Comp
Externí odkaz:
https://doaj.org/article/68e0e35fdb8b47c08f24a07c18bc9cb4
Autor:
Galih Bangga
Publikováno v:
Fluids, Vol 3, Iss 4, p 73 (2018)
The present studies deliver the computational investigations of a 10 MW turbine with a diameter of 205.8 m developed within the framework of the AVATAR (Advanced Aerodynamic Tools for Large Rotors) project. The simulations were carried out using two
Externí odkaz:
https://doaj.org/article/836f7ca58d0a42c4b13f4eba94b12806