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This paper proposes a non-thermal method for wind turbine blade de-icing.
It is suggested that the combination of CFD and GA is an effective method for wind lens profile design.
A case study with the application of the method for wind energy in Rapa Nui (or Easter) Island is presented.
The calculating method for wind and rain loads is simplified and the error analysis is performed to validate its effectiveness.
This hybrid dense sensor network is leveraged to derive a data-driven damage detection and localization method for wind turbine blades.
The real coding genetic algorithm is employed to evaluate the performance of the statistical method for wind turbine positioning optimization problem.
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Comparing several direct and indirect measuring methods, a dynamic long-range linear displacement precision measuring method for winding system based on magnetic rotary encoder is presented.
We first review and discuss available engineering models and the Reynolds-Averaged Navier Stokes (RANS) methods for wind turbine aerodynamics.
In this study, we evaluate lattice Boltzmann and finite element methods for wind load estimation of parabolic trough solar collectors.
Design and analysis methods for wind turbines are presently based on relatively simple models of rotor blade aerodynamics, such as 2-D blade element/momentum theory (BEMT).
This paper provides an overview of existing methodologies to establish test conditions and a critical review of calculation methods for wind and WDR loads on buildings, from the viewpoint of establishing test parameters for watertightness testing.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com