A simple model to predict the energy loss due to leading edge roughness. Issue 3 (1st May 2022)
- Record Type:
- Journal Article
- Title:
- A simple model to predict the energy loss due to leading edge roughness. Issue 3 (1st May 2022)
- Main Title:
- A simple model to predict the energy loss due to leading edge roughness
- Authors:
- Bak, Christian
- Abstract:
- Abstract: In this paper a simple model to predict losses in annual energy production due to leading edge roughness or leading edge erosion from wind turbines is presented. Because detailed information about wind turbines not always are available, the input to this model requires only a few parameters: rated power, rotor radius, two Weibull parameters and categories of local damages. Therefore, some assumptions are made in the model. It was validated against a common implementation of a BEM code and showed good agreement in the loss of annual energy production. Also, a categorisation methods was proposed. The categories ranged between a and e corresponding to an undamaged blade and a severely damaged blade, respectively. This categorisation was made locally on the blade. The blade is divided into annular elements and each annular element is graded with a category. By summing up the annular elements on the blade, each with their categories, the total loss in energy production was predicted.
- Is Part Of:
- Journal of physics. Volume 2265:Issue 3(2022)
- Journal:
- Journal of physics
- Issue:
- Volume 2265:Issue 3(2022)
- Issue Display:
- Volume 2265, Issue 3 (2022)
- Year:
- 2022
- Volume:
- 2265
- Issue:
- 3
- Issue Sort Value:
- 2022-2265-0003-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-05-01
- Subjects:
- Physics -- Congresses
530.5 - Journal URLs:
- http://www.iop.org/EJ/journal/1742-6596 ↗
http://ioppublishing.org/ ↗ - DOI:
- 10.1088/1742-6596/2265/3/032038 ↗
- Languages:
- English
- ISSNs:
- 1742-6588
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5036.223000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 22329.xml