Turbine Trailing Edge Noise Reduction Using Adjoint-Based Shape Optimization

Award Information
Agency:
Department of Energy
Branch
n/a
Amount:
$99,989.00
Award Year:
2010
Program:
SBIR
Phase:
Phase I
Contract:
DE-FG02-10ER85745
Award Id:
99423
Agency Tracking Number:
95184
Solicitation Year:
n/a
Solicitation Topic Code:
39 a
Solicitation Number:
n/a
Small Business Information
60 Hazelwood Drive, P.O. Box 3001, Champaign, IL, 61826
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
792045713
Principal Investigator:
Mark Brandyberry
Dr.
(217) 766-2567
mdbrandy@illinoisrocstar.com
Business Contact:
William Dick
Mr.
(217) 417-0885
wdick@illinoisrocstar.com
Research Institution:
n/a
Abstract
There are a number of noise sources on a typical wind turbine, including tower-blade interaction, gust-induced noise, trailing edge noise, and power train noise. Significant improvements in noise reduction and/or noise isolation have been made to many of the mechanical and tonal noise sources, but the turbulence-associated noise sources (gust-induced and trailing edge) remain difficult to control. A physics-based optimization procedure will be implemented to reduce the dominant noise mechanism found on wind turbines. We will add a shape optimization capability to an existing high fidelity simulation platform to understand and minimize the trailing edge noise radiated by the turbine blade airfoil section. Our novel simulation technique will reduce the trial and error character of current design methodologies, and should shorten future design cycles and reduce cost. Commercial Applications and Other Benefits: Reduction of the environmental impact of large turbines on its surrounding area is a key challenge that impedes the wide adoption of wind turbines capable of providing a larger fraction of the country

* information listed above is at the time of submission.

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