TY - JOUR
T1 - Wind turbine tower optimization method using a genetic algorithm
AU - Yoshida, Shigeo
PY - 2006/12/1
Y1 - 2006/12/1
N2 - A wind turbine tower optimization program was developed, using a genetic algorithm. This allowed a rational analysis to reduce the mass of turbine towers, by considering, for example, the distributions of diameter and wall thickness, and the positions of flanges and access ports to navigation lights. Both extreme and fatigue loads were calculated, based on wind turbine design requirements and the Building Standard Law of Japan. Therefore, the aero-elastic characteristics and the controller of each turbine were considered. Furthermore, sensitivities to some representative design parameters were also investigated in case studies of the SUBARU80/20, 2 MW turbine.
AB - A wind turbine tower optimization program was developed, using a genetic algorithm. This allowed a rational analysis to reduce the mass of turbine towers, by considering, for example, the distributions of diameter and wall thickness, and the positions of flanges and access ports to navigation lights. Both extreme and fatigue loads were calculated, based on wind turbine design requirements and the Building Standard Law of Japan. Therefore, the aero-elastic characteristics and the controller of each turbine were considered. Furthermore, sensitivities to some representative design parameters were also investigated in case studies of the SUBARU80/20, 2 MW turbine.
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U2 - 10.1260/030952406779994150
DO - 10.1260/030952406779994150
M3 - Article
AN - SCOPUS:33947185680
SN - 0309-524X
VL - 30
SP - 453
EP - 470
JO - Wind Engineering
JF - Wind Engineering
IS - 6
ER -
