New analytical wake models based on artificial intelligence and rivalling the benchmark full-rotor CFD predictions under both uniform and ABL inflows
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- @Article{SYEDAHMEDKABIR:2020:Energy,
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author = "Ijaz Fazil {Syed Ahmed Kabir} and
Ferozkhan Safiyullah and E. Y. K. Ng and Vivian W. Y. Tam",
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title = "New analytical wake models based on artificial
intelligence and rivalling the benchmark full-rotor
{CFD} predictions under both uniform and {ABL}
inflows",
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journal = "Energy",
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volume = "193",
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pages = "116761",
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year = "2020",
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ISSN = "0360-5442",
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DOI = "doi:10.1016/j.energy.2019.116761",
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URL = "http://www.sciencedirect.com/science/article/pii/S0360544219324569",
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keywords = "genetic algorithms, genetic programming, Artificial
intelligence, Wake velocity models, Wake turbulence
intensity models, Wind farm",
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abstract = "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 maximizing the wind
farm power generation. This needs a precise wake
velocity model to simulate the wake effect of the wind
farm within a limited time duration. Furthermore,
prediction of turbulence in the wake due to ambient
flow and rotor-generated is extremely crucial owing to
its contribution to fatigue loads and structural
failures of the downstream wind turbines. This article
discusses the classical to the recent analytical wake
velocity and turbulence intensity models derived based
on hard computing techniques in detail and their
limitations. The significant constraints are the
consideration of uniform inflow without integrating
Atmospheric Boundary Layer (ABL) impacts for the
forecast of wake velocity and estimation of single
value of turbulence intensity while it radially varies
at distinct downstream distances of the wind turbine.
Eventually, these constraints are tackled and new
analytical models for wake velocity and turbulence
intensity profiles are formulated for both uniform and
ABL inflows. The existing and proposed models are
compared with the previous NREL Phase VI wind turbine
CFD study for uniform and ABL inflows and it was
observed that the proposed models are precise",
- }
Genetic Programming entries for
Ijaz Fazil Syed Ahmed Kabir
Ferozkhan Safiyullah
E Y K Ng
Vivian W Y Tam
Citations