Discussion papers | Copyright
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

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 Nikolay Dimitrov et al.
  • 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.

Download & links
Nikolay Dimitrov et al.
Interactive discussion
Status: final response (author comments only)
Status: final response (author comments only)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Nikolay Dimitrov et al.
Nikolay Dimitrov et al.
Viewed
Total article views: 295 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
187 102 6 295 9 4
  • HTML: 187
  • PDF: 102
  • XML: 6
  • Total: 295
  • BibTeX: 9
  • EndNote: 4
Views and downloads (calculated since 02 Mar 2018)
Cumulative views and downloads (calculated since 02 Mar 2018)
Viewed (geographical distribution)
Total article views: 295 (including HTML, PDF, and XML) Thereof 289 with geography defined and 6 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Cited
Saved
No saved metrics found.
Discussed
No discussed metrics found.
Latest update: 15 Aug 2018
Publications Copernicus
Download
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...
Citation
Share