Components of a Wind Energy Converter

2012 ◽  
pp. 31-43
Author(s):  
Hermann-Josef Wagner ◽  
Jyotirmay Mathur
Keyword(s):  
Wind Energy ◽  
Energy Converter

System management of a wind-energy converter

2001 ◽  
Vol 16 (3) ◽  
pp. 375-381 ◽  
Author(s):  
C.L. Kana ◽  
M. Thamodharan ◽  
A. Wolf
Keyword(s):  
Wind Energy ◽  
System Management ◽  
Energy Converter

A novel method of wind energy generation-the electrostatic wind energy converter

2014 ◽  
Vol 30 (4) ◽  
pp. 8-20 ◽  
Author(s):  
Dhiradj Djairam ◽  
Peter Morshuis ◽  
Johan Smit
Keyword(s):  
Wind Energy ◽  
Energy Generation ◽  
Energy Converter ◽  
Wind Energy Generation ◽  
Novel Method

Predicting the performance of a floating wind energy converter in a realistic sea

2017 ◽  
Vol 101 ◽  
pp. 637-646 ◽  
Author(s):  
Yingguang Wang ◽  
Lifu Wang
Keyword(s):  
Wind Energy ◽  
Energy Converter

scholarly journals An analytical solution for wind deficit decay behind a wind energy converter using momentum conservation validated by UAS data

2021 ◽  
Author(s):  
Moritz Mauz ◽  
Bram van Kesteren ◽  
Andreas Platis ◽  
Stefan Emeis ◽  
Jens Bange
Keyword(s):  
Analytical Solution ◽  
Wind Energy ◽  
Weather Forecast ◽  
Momentum Conservation ◽  
Conservation Equation ◽  
Euler Method ◽  
Unmanned Aircraft ◽  
Maximum Efficiency ◽  
Energy Converter ◽  
Starting Point

Abstract. The wind deficit behind a wind energy converter (WEC) results from a complex interaction of forces. Kinetic energy is removed from the atmosphere, but coherent turbulent structures prevent a swift compensation of momentum within the wake behind the WEC. A detailed description of the wake is beneficial in meso-scale weather forecast (e.g. WRF models) and numerical simulations of wind wake deficits. Especially in the near to intermediate wake (0.5−5 rotor diameters D), the dominating processes characterising the wake formation change along the wake. The conservation equation of momentum is used as a starting point to map the most important processes assuming the WEC operates at maximum efficiency in a neutral stratified boundary layer. The wake is divided into three different regions to accommodate the changing impact of atmospheric turbulence and the shear created by the WEC onto the wake. A differential equation that depicts the variable momentum transport into the wind deficit along the wake is derived and solved analytically. Additionally, a numerical solution (Euler method) of the simplified momentum conservation equation is shown to provide a quality control and error estimate to the analytical model. The analytical solution is compared to conventional WEC wake models and in-situ wake measurements behind an Enercon E-112 converter, located in the Jade Wind Park near the North Sea coast in Germany, captured by the MASC-3 UAS (unmanned aircraft system) of the University of Tübingen. The obtained UAS data cover the distance from 0.5−5 D at hub height behind the nacelle. The analytical and numerical model are found to be in good agreement with the data of the three measurement flights behind the WEC.

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