DocumentCode
2872491
Title
Optimization of the generator to rotor ratio of MW wind turbines based on the cost of energy with focus on low wind speeds
Author
Preindl, Matthias ; Bolognani, Silverio
Author_Institution
Dept. of Electr. Eng., Univ. of Padova, Padova, Italy
fYear
2011
fDate
7-10 Nov. 2011
Firstpage
906
Lastpage
911
Abstract
The effectiveness of a wind turbine to transform wind energy in electrical energy on a specific site depends heavily on its design, above all on the generator to rotor (turbine) ratio (GRR). In this research, the optimization of the GRR is focused with respect to the cost of energy (COE). Using a wind speed, a power generation, and a cost model, the Annual Energy Production (AEP) and the COE can be calculated dependent on the average wind speed, which is a site characteristic. The optimal GRR is shown with respect to the plant size and the wind class. A sensitivity function is interpolated which gives an idea for which type of site a plant is convenient. Moreover, the performance of existing plants has been evaluated for sites with low average wind speed conditions, where the funding and convenience of a wind park is particularly critical. As a result of the optimization, a reference plant design is proposed, which is optimal with respect to the models and reduces the COE in low average wind speed conditions.
Keywords
interpolation; optimisation; power generation economics; sensitivity; wind power plants; wind turbines; COE; GRR optimization; annual energy production; cost of energy; electrical energy; generator to rotor ratio optimization; interpolation; low average wind speed conditions; plant size; power generation; sensitivity function; wind energy; wind turbines; Blades; Generators; Optimization; Rotors; Wind speed; Wind turbines;
fLanguage
English
Publisher
ieee
Conference_Titel
IECON 2011 - 37th Annual Conference on IEEE Industrial Electronics Society
Conference_Location
Melbourne, VIC
ISSN
1553-572X
Print_ISBN
978-1-61284-969-0
Type
conf
DOI
10.1109/IECON.2011.6119431
Filename
6119431
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