<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>

COPY SCRIPT

For further information contact us at helpdesk@openaire.eu

Brief communication: How does complex terrain change the power curve of a wind turbine?

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 05 Apr 2022 Denmark Publisher:Copernicus GmbHJournal:Wind Energy Science, volume 7, pages 1,527-1,532 (eissn: 2366-7451,

Authors: Niels Troldborg; Søren J. Andersen; Emily L. Hodgson; Alexander Meyer Forsting;

doi: 10.5194/wes-2022-30 , 10.5194/wes-7-1527-2022

Brief communication: How does complex terrain change the power curve of a wind turbine?

- Summary
- Subjects
- Metrics

Abstract

Abstract. The power performance of a wind turbine in complex terrain is studied by means of Large Eddy Simulations (LES). The simulations show that the turbine performance is significantly different compared to what should be expected from the available wind. The reason for this deviation is that the undisturbed flow field behind the turbine is non-homogeneous and therefore results in a very different wake development and induction than seen for a turbine in flat homogeneous terrain.

Country

Denmark

Related Organizations

Technical University of Denmark
Denmark

Keywords

TJ807-830, Renewable energy sources

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	13
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%