Preprints
https://doi.org/10.5194/wes-2024-70
https://doi.org/10.5194/wes-2024-70
30 Jul 2024
 | 30 Jul 2024
Status: this preprint is currently under review for the journal WES.

State-of-the-art efficiency determination of a wind turbine drivetrain on a nacelle test bench

Hongkun Zhang, Paula Weidinger, Christian Mester, Zihang Song, Marcel Heller, Alexander Dubowik, Bernd Tegtmeier, and Karin Eustorgi

Abstract. The efficiency of wind turbine drivetrains is a topic of great interest for both the wind energy industry and the academic community. With the developing maturity of this technology and the increasing pressures to reduce costs, the importance of drivetrain efficiency has grown. However, insufficient accuracy in torque measurement makes actually determining the efficiency of wind turbine drivetrains a very challenging task. In the project known as WindEFCY, state-of-the-art measurement and calibration instruments are used to determine the drivetrain efficiency of a direct drive wind turbine on the nacelle test bench called the DyNaLab. This paper discusses the test configuration applied for this work as well as the instrumentation of the measurement systems used. It further presents the results from two tests of different types to demonstrate the process of efficiency determination and the analysis of uncertainty. Within the paper’s scope of study, an uncertainty level of approximately 0.7 % is achievable when measuring drivetrain efficiency. Details and recommendations concerning data processing and uncertainty analysis are also given in the paper.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Hongkun Zhang, Paula Weidinger, Christian Mester, Zihang Song, Marcel Heller, Alexander Dubowik, Bernd Tegtmeier, and Karin Eustorgi

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on wes-2024-70', Anonymous Referee #1, 13 Sep 2024
  • RC2: 'Comment on wes-2024-70', Anonymous Referee #2, 17 Dec 2024
Hongkun Zhang, Paula Weidinger, Christian Mester, Zihang Song, Marcel Heller, Alexander Dubowik, Bernd Tegtmeier, and Karin Eustorgi
Hongkun Zhang, Paula Weidinger, Christian Mester, Zihang Song, Marcel Heller, Alexander Dubowik, Bernd Tegtmeier, and Karin Eustorgi

Viewed

Total article views: 411 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
238 52 121 411 16 19
  • HTML: 238
  • PDF: 52
  • XML: 121
  • Total: 411
  • BibTeX: 16
  • EndNote: 19
Views and downloads (calculated since 30 Jul 2024)
Cumulative views and downloads (calculated since 30 Jul 2024)

Viewed (geographical distribution)

Total article views: 408 (including HTML, PDF, and XML) Thereof 408 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 18 Dec 2024
Download
Short summary
Drivetrain efficiency is a wind turbine’s fundamental behaviour in the energy conversion. To determine the efficiency, input and output powers need to be measured with sufficient accuracy. However, this is a very challenging task due to high complexity and lack of proper calibrated torque measurement. In cooperation with the German and Swiss national metrology institutes, the efficiency determination with state-of-the art instrumentations is demonstrated here with test processes and results.
Altmetrics