A spatial and temporal correlation analysis of aggregate wind power in an ideally interconnected Europe

Show simple item record

dc.contributor.author Malvaldi, A.
dc.contributor.author Weiss, S.
dc.contributor.author Infield, D.
dc.contributor.author Browell, J.
dc.contributor.author Leahy, Paul G.
dc.contributor.author Foley, Aoife M.
dc.date.accessioned 2017-03-24T12:25:43Z
dc.date.available 2017-03-24T12:25:43Z
dc.date.issued 2017-03-02
dc.identifier.citation Malvaldi, A., Weiss, S., Infield, D., Browell, J., Leahy, P. and Foley, A. M. (2017) 'A spatial and temporal correlation analysis of aggregate wind power in an ideally interconnected Europe', Wind Energy, 20(8), pp. 1315-1329. doi:10.1002/we.2095 en
dc.identifier.volume 20
dc.identifier.issued 8
dc.identifier.startpage 1315
dc.identifier.endpage 1329
dc.identifier.issn 1099-1824
dc.identifier.uri http://hdl.handle.net/10468/3829
dc.identifier.doi 10.1002/we.2095
dc.description.abstract Studies have shown that a large geographic spread of installed capacity can reduce wind power variability and smooth production. This could be achieved by using electricity interconnections and storage systems. However, interconnections and storage are not totally flexible, so it is essential to understand the wind power correlation in order to address power system constraints in systems with large and growing wind power penetrations. In this study, the spatial and temporal correlation of wind power generation across several European Union countries was examined to understand how wind ‘travels’ across Europe. Three years of historical hourly wind power generation data from 10 countries were analysed. The results of the analysis were then compared with two other studies focused on the Nordic region and the USA. The findings show that similar general correlation characteristics do exist between European country pairs. This is of particular importance when planning and operating interconnector flows, storage optimization and cross-border power trading. en
dc.description.sponsorship Engineering Physical Sciences Research Council (Grant Number EP/G037728/1) en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher John Wiley & Sons Ltd en
dc.rights © 2017, the Authors. Wind Energy is published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. en
dc.rights.uri https://creativecommons.org/licenses/by/3.0/ en
dc.subject Wind power generation en
dc.subject Wind energy en
dc.subject Interconnection en
dc.subject Geographic diversity en
dc.subject Correlation en
dc.title A spatial and temporal correlation analysis of aggregate wind power in an ideally interconnected Europe en
dc.type Article (peer-reviewed) en
dc.internal.authorcontactother Paul Leahy, Civil Engineering, University College Cork, Cork, Ireland. +353-21-490-3000 Email: paul.leahy@ucc.ie en
dc.internal.availability Full text available en
dc.date.updated 2017-03-24T12:12:08Z
dc.description.version Published Version en
dc.internal.rssid 388381175
dc.contributor.funder Engineering and Physical Sciences Research Council en
dc.description.status Peer reviewed en
dc.identifier.journaltitle Wind Energy en
dc.internal.copyrightchecked Yes en
dc.internal.licenseacceptance Yes en
dc.internal.IRISemailaddress paul.leahy@ucc.ie en


Files in this item

This item appears in the following Collection(s)

Show simple item record

© 2017, the Authors. Wind Energy is published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. Except where otherwise noted, this item's license is described as © 2017, the Authors. Wind Energy is published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
This website uses cookies. By using this website, you consent to the use of cookies in accordance with the UCC Privacy and Cookies Statement. For more information about cookies and how you can disable them, visit our Privacy and Cookies statement