Journal cover Journal topic
Wind Energy Science The interactive open-access journal of the European Academy of Wind Energy
https://doi.org/10.5194/wes-2018-18
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Research articles
02 Mar 2018
Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Wind Energy Science (WES).
From wind to loads: wind turbine site-specific load estimation using databases with high-fidelity load simulations
Nikolay Dimitrov, Mark Kelly, Andrea Vignaroli, and Jacob Berg DTU Wind Energy, Technical University of Denmark, Frederiksborgvej 399, 4000 Roskilde, Denmark
Abstract. We define and demonstrate a procedure for quick assessment of site-specific lifetime fatigue loads, using surrogate models calibrated by means of a database with high-fidelity load simulations. The performance of six surrogate models is assessed by comparing site-specific lifetime fatigue load predictions at ten sites. The surrogate methods include polynomial-chaos expansion, quadratic response surface, universal Kriging, importance sampling, and nearest-neighbor interpolation. Practical bounds for the database and calibration are defined via nine environmental variables, and their relative effects on the fatigue loads are evaluated by means of Sobol sensitivity indices.

Of the surrogate-model methods, polynomial-chaos expansion provided an accurate and robust performance in prediction of the different site-specific loads. Although the Kriging approach showed slightly better accuracy, it also demanded more computational resources. Taking into account other useful properties of the polynomial chaos expansion method within the performance comparisons, we consider it to generally be the most useful for quick assessment of site-specific loads.

Citation: Dimitrov, N., Kelly, M., Vignaroli, A., and Berg, J.: From wind to loads: wind turbine site-specific load estimation using databases with high-fidelity load simulations, Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2018-18, in review, 2018.
Nikolay Dimitrov et al.
Nikolay Dimitrov et al.
Nikolay Dimitrov et al.

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Short summary
Wind energy site suitability assesment procedures often require estimating the loads a wind turbine will be subject to when installed on a site. The estimation is often time-consuming and requires several iterations. We have developed a procedure for quick and accurate estimation of site-specific wind turbine loads. Our approach employs computationally efficient parametric models which are calibrated to high-fidelity load simulations. The result is a significant reduction in computation efforts.
Wind energy site suitability assesment procedures often require estimating the loads a wind...
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