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Fast Estimation of the Damage Equivalent Load in Blade Geometry Multidisciplinar Optimization
- Source :
- Journal of Solar Energy Engineering. 139
- Publication Year :
- 2017
- Publisher :
- ASME International, 2017.
-
Abstract
- Designing blade geometry as a multidisciplinary optimization presents important challenges due to the increment in the number of design variables and computational cost of calculating the constraints and objective function. Blades have an important impact on loads because they capture the kinetic energy in wind and transfer it to the rest of the wind turbine components. Thus, consideration of the fatigue response is necessary in the optimization problem. However, the calculation of the damage equivalent loads (DELs) implies time-consuming simulations that restrict the number of design variables due to the increment of the search space. This article proposes a frequency domain method to estimate the fatigue response, which produces an advantage in terms of computational cost. The method is based on wind turbine model linearization by means of an aero-elastic code and the subsequent calculation of a frequency response function (FRF), which serves to estimate the response of the wind turbine. The Dirlik method is then applied to infer the damage equivalent loads. This process, which is useful for variables that have a stochastic nature, provides rapid approximate prediction of the fatigue response. An alternative estimation is proposed for loads subjected to an important periodic component. The results show that the method is useful in the initial stages of design.
- Subjects :
- Stress (mechanics)
Engineering
Wind power
Renewable Energy, Sustainability and the Environment
business.industry
020209 energy
0202 electrical engineering, electronic engineering, information engineering
Energy Engineering and Power Technology
Blade geometry
020201 artificial intelligence & image processing
02 engineering and technology
Structural engineering
business
Subjects
Details
- ISSN :
- 15288986 and 01996231
- Volume :
- 139
- Database :
- OpenAIRE
- Journal :
- Journal of Solar Energy Engineering
- Accession number :
- edsair.doi...........b0b71ced012902aadac5e38f08e905d9
- Full Text :
- https://doi.org/10.1115/1.4036636