WTAB, a computer program for predicting the performance of horizontal axis wind turbines with adaptive blades

This source preferred by Siamak Noroozi and John Vinney

Authors: Maheri, A., Noroozi, S., Toomer, C.A. and Vinney, J.

http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6V4S-4HM7RVS-2&_user=1682380&_coverDate=09%2F30%2F2006&_rdoc=1&_fmt=&_orig=search&_sort=d&view=c&_acct=C000011378&_version=1&_urlVersion=0&_userid=1682380&md5=73dfd7d16b6d5c6ed492f337a7d33975

Journal: Renewable Energy

Volume: 31

Pages: 1673-1685

ISSN: 0960-1481

DOI: 10.1016/j.renene.2005.09.023

An aero-structure code has been developed to predict the performance of a horizontal axis wind turbine (HAWT) with adaptive blades. The code is a combination of an aerodynamic code, an adaptive mesh generator and a finite element code, all developed especially for this purpose. It has been shown that for a high elastic coupling, a coupled aero-structure simulation approach is necessary to have acceptable results while a single step simulation approach can only be used to estimate the blade loading and wind turbine power.

This data was imported from Scopus:

Authors: Maheri, A., Noroozi, S., Toomer, C.A. and Vinney, J.

Journal: Renewable Energy

Volume: 31

Issue: 11

Pages: 1673-1685

ISSN: 0960-1481

DOI: 10.1016/j.renene.2005.09.023

An aero-structure code has been developed to predict the performance of a horizontal axis wind turbine (HAWT) with adaptive blades. The code is a combination of an aerodynamic code, an adaptive mesh generator and a finite element code, all developed especially for this purpose. It has been shown that for a high elastic coupling, a coupled aero-structure simulation approach is necessary to have acceptable results while a single step simulation approach can only be used to estimate the blade loading and wind turbine power. © 2005 Elsevier Ltd. All rights reserved.

This data was imported from Web of Science (Lite):

Authors: Maheri, A., Noroozi, S., Toomer, C.A. and Vinney, J.

Journal: RENEWABLE ENERGY

Volume: 31

Issue: 11

Pages: 1673-1685

ISSN: 0960-1481

DOI: 10.1016/j.renene.2005.09.023

The data on this page was last updated at 05:17 on May 25, 2020.