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Ijaz Fazil Syed Ahmed Kabir

Nanyang Technological University

6

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36

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On the Accuracy of uRANS and LES-Based CFD Modeling Approaches for Rotor and Wake Aerodynamics of the (New) MEXICO Wind Turbine Rotor Phase-III

2021 Energies
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Evaluation of three potential machine learning algorithms for predicting the velocity and turbulence intensity of a wind turbine wake

2021 Renewable Energy
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New analytical wake models based on artificial intelligence and rivalling the benchmark full-rotor CFD predictions under both uniform and ABL inflows.

2020 Energy
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Effect of different atmospheric boundary layers on the wake characteristics of NREL Phase VI Wind Turbine

2019 Renewable Energy
- Ijaz Fazil Syed Ahmed Kabir
- E.Y-K. Ng
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Insight into stall delay and computation of 3D sectional aerofoil characteristics of NREL phase VI wind turbine using inverse BEM and improvement in BEM analysis accounting for stall delay effect

2017 Energy
- Ijaz Fazil Syed Ahmed Kabir
- E.Y-K. Ng
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Citations (16)