<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

Optimizing wave energy parks with over 1000 interacting point-absorbers using an approximate analytical method

descriptionPublicationkeyboard_double_arrow_right Article , Journal 01 Jun 2015 Sweden Publisher:Elsevier BVJournal:International Journal of Marine Energy, volume 10, pages 113-126 (issn: 2214-1669,

Authors: Göteman, Malin; Engström, Jens; Eriksson, Mikael; Isberg, Jan;

doi: 10.1016/j.ijome.2015.02.001

Optimizing wave energy parks with over 1000 interacting point-absorbers using an approximate analytical method

- Summary
- Subjects
- Metrics

Abstract

Large arrays of wave energy converters of point-absorber type are studied using an approximate analytical model. The model is validated against a numerical method that takes into account full hydrodynamic interactions based on linear potential flow theory. The low computational cost of the analytical model enables parameter studies of parks in the MW range and includes up to over 1000 interacting devices. The model is actuated by irregular wave data obtained at the Swedish west coast. In particular, focus is on comparing park geometries and improving park configurations to minimize the power fluctuations.

Country

Sweden

Related Organizations

Uppsala University
Sweden

Keywords

Energy Systems, Energisystem

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).	55
	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).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%