A data-informed analytic model for turbine power prediction with anisotropic local blockage effects
This paper presents a new analytic approach for estimating the local power coefficient of a turbine experiencing anisotropic local blockage effects. Data-driven methods are employed first to approximately obtain a known analytic expression for isotropic local blockage effects, and then deployed to f...
| Main Authors: | , |
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| Format: | Conference item |
| Language: | English |
| Published: |
IOP Publishing
2022
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