Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Ijaz Fazil Syed Ahmed Kabir"'
Autor:
Ijaz Fazil Syed Ahmed Kabir, Mohan Kumar Gajendran, Prajna Manggala Putra Taslim, Sethu Raman Boopathy, Eddie Yin-Kwee Ng, Amirfarhang Mehdizadeh
Publikováno v:
Atmosphere, Vol 15, Iss 8, p 929 (2024)
Renewable energy sources are essential to address climate change, fossil fuel depletion, and stringent environmental regulations in the subsequent decades. Horizontal-axis wind turbines (HAWTs) are particularly suited to meet this demand. However, th
Externí odkaz:
https://doaj.org/article/6382a8f4901f42c3add5e86d1f97bae1
Autor:
Ijaz Fazil Syed Ahmed Kabir, Mohan Kumar Gajendran, E. Y. K. Ng, Amirfarhang Mehdizadeh, Abdallah S. Berrouk
Publikováno v:
Wind, Vol 2, Iss 4, Pp 636-658 (2022)
Wind turbine blades experience excessive load due to inaccuracies in the prediction of aerodynamic loads by conventional methods during design, leading to structural failure. The blade element momentum (BEM) method is possibly the oldest and best-kno
Externí odkaz:
https://doaj.org/article/b3a77517d6654b249381809d1aac8424
Publikováno v:
Journal of Marine Science and Engineering, Vol 11, Iss 11, p 2111 (2023)
As wind energy continues to be a crucial part of sustainable power generation, the need for precise and efficient modeling of wind turbines, especially under yawed conditions, becomes increasingly significant. Addressing this, the current study intro
Externí odkaz:
https://doaj.org/article/9d2b75e849794b00a84c410237fd955e
Publikováno v:
Energies, Vol 14, Iss 16, p 5198 (2021)
This work presents a comparison study of the CFD modeling with two different turbulence modeling approaches viz. unsteady RANS and LES, on a full-scale model of the (New) MEXICO rotor wind turbine. The main emphasis of the paper is on the rotor and w
Externí odkaz:
https://doaj.org/article/8171cf680e93427b8d24c29e5af0d2cd
Publikováno v:
Renewable Energy. 184:405-420
In this paper, three machine learning (ML) algorithms, Support Vector Regression (SVR), Artificial Neural Networks (ANN), and Extreme Gradient Boosting (XGBoost), are validated to estimate the velocity and turbulence intensity of a wind turbine's wak
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ed8d54dd47a246ab7ea4630b2b92dee
https://doi.org/10.1016/j.renene.2021.11.097
https://doi.org/10.1016/j.renene.2021.11.097
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811943591
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c1ff6878d8765013118e664c1f1eb94
https://doi.org/10.1007/978-981-19-4360-7_2
https://doi.org/10.1007/978-981-19-4360-7_2
Publikováno v:
Renewable Energy. 130:1185-1197
In this study, the interaction of horizontal axis wind turbine (HAWT) with neutrally stratified atmospheric boundary layer (ABL) and its wake characteristics are investigated. Important wake characteristics of wind turbine such as velocity deficit an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e102c6eb7fe98e90a22524bd090b4c50
https://doi.org/10.1016/j.renene.2018.08.083
https://doi.org/10.1016/j.renene.2018.08.083
Publikováno v:
Energy. 120:518-536
In this paper, analysis of stall delay phenomenon for the NREL Phase VI wind turbine is done in order to improve Blade Element Momentum (BEM) method. The current study includes different proposals for extrapolation of 2D aerofoil characteristics for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d3e99368d137a04b3c6c9a0bcf896bf
https://doi.org/10.1016/j.energy.2016.11.102
https://doi.org/10.1016/j.energy.2016.11.102
Publikováno v:
Energy. 193:116761
New analytical wake models are derived from the soft computing technique, called Genetic Programming (GP) to predict wake velocities and turbulence intensity. The design of the wind farm’s appropriate layout is essential for minimizing cost and max
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4039637de946f039e83fcedd401c9e0d
https://doi.org/10.1016/j.energy.2019.116761
https://doi.org/10.1016/j.energy.2019.116761
Autor:
Ijaz Fazil Syed Ahmed Kabir
Steadily increasing energy consumption, fluctuating fuel costs and concerns about global climate changes have led to the research and evaluation of alternative renewable energies. The wind turbine is among the promising alternative energy sources tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1392::360fbabfc7aa3ff272229f2421a2f9d9
http://hdl.handle.net/10356/75824
http://hdl.handle.net/10356/75824