TY - GEN
T1 - Wind turbine tower optimization method using genetic algorithm
AU - Yoshida, Shigeo
PY - 2007
Y1 - 2007
N2 - A wind turbine tower optimization program was developed, using a genetic algorithm. This allowed a rational analysis to reduce the mass of turbine tower, 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 SUBARU80/2.0, 2MW 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 tower, 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 SUBARU80/2.0, 2MW turbine.
UR - http://www.scopus.com/inward/record.url?scp=84875321886&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84875321886&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84875321886
SN - 9781622764686
T3 - European Wind Energy Conference and Exhibition 2007, EWEC 2007
SP - 1651
EP - 1655
BT - European Wind Energy Conference and Exhibition 2007, EWEC 2007
T2 - European Wind Energy Conference and Exhibition 2007, EWEC 2007
Y2 - 7 May 2007 through 10 May 2007
ER -
