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Wind and Structures Volume 18, Number 2, February 2014 , pages 195-213 DOI: https://doi.org/10.12989/was.2014.18.2.195 |
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Numerical investigation on effects of rotor control strategy and wind data on optimal wind turbine blade shape |
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Jin-Hak Yi, Gil-Lim Yoon and Ye Li
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| Abstract | ||
| Recently, the horizontal axis rotor performance optimizer (HARP_Opt) tool was developed in the National Renewable Energy Laboratory, USA. This innovative tool is becoming more popular in the wind turbine industry and in the field of academic research. HARP_Optwas developed on the basis of two fundamental modules, namely, WT_Perf, a performance evaluator computer code using the blade element momentum theory; and a genetic algorithm module, which is used as an optimizer. A pattern search algorithm was more recently incorporated to enhance the optimization capability, especially the calculation time and consistency of the solutions. The blade optimization is an aspect that is highly dependent on experience and requires significant consideration on rotor control strategies, wind data, and generator type. In this study, the effects of rotor control strategies including fixed speed and fixed pitch, variable speed and fixed pitch, fixed speed and variable pitch, and variable speed and variable pitch algorithms on optimal blade shapes and rotor performance are investigated using optimized blade designs. The effects of environmental wind data and the objective functions used for optimization are also quantitatively evaluated using the HARP_Opt tool. Performance indices such as annual energy production, thrust, torque, and roof-flap moment forces are compared. | ||
| Key Words | ||
| blade element momentum theory (BEMT); pattern search; blade shape optimal design; parametric study; rotor control strategy; wind data | ||
| Address | ||
| Jin-Hak Yi and Gil-Lim :Coastal Development and Ocean Energy Research Division, Korea Institute of Ocean Science and Technology, Gyeonggi 426-744, Republic of Korea; Department of Convergence Study on the Ocean Science and Technology, Ocean Science and Technology Ye Li:State Key Lab of Ocean Engineering, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China School, Korea Maritime and Ocean University, Busan, Republic of Korea | ||