dc.contributor.author | Scheu, Matti Niclas | |
dc.contributor.author | Matha, Denis | |
dc.contributor.author | Hofmann, Matthias | |
dc.contributor.author | Muskulus, Michael | |
dc.date.accessioned | 2017-12-20T08:27:00Z | |
dc.date.available | 2017-12-20T08:27:00Z | |
dc.date.created | 2012-08-15T14:27:49Z | |
dc.date.issued | 2012 | |
dc.identifier.citation | Energy Procedia. 2012, 24 281-288. | nb_NO |
dc.identifier.issn | 1876-6102 | |
dc.identifier.uri | http://hdl.handle.net/11250/2473139 | |
dc.description.abstract | Up to one third of the total cost of energy from offshore wind generation is contributed by operation and maintenance (O&M). Compared to its onshore counterpart, this fraction is significantly higher. Costs are not only caused by spare-parts and repair actions, but also by production losses due to downtime. The accessibility of a turbine in case of a failure is one main aspect affecting downtime. Therefore, a tool has been developed and implemented in MATLAB to simulate the operating phase of a wind farm with special emphasis toward the modeling of failures and repair. As an example application, a site at the UK east coast was chosen, and a few distinct scenarios were considered. Results include how sensitive availability changes with respect to changes in maintenance fleet and maintenance scheduling strategy. A quantification of potential cost savings due to an increase in availability is also stated. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | Elsevier | nb_NO |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/deed.no | * |
dc.title | Maintenance Strategies for Large Offshore Wind Farms | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.description.version | publishedVersion | nb_NO |
dc.source.pagenumber | 281-288 | nb_NO |
dc.source.volume | 24 | nb_NO |
dc.source.journal | Energy Procedia | nb_NO |
dc.identifier.doi | 10.1016/j.egypro.2012.06.110 | |
dc.identifier.cristin | 938846 | |
dc.relation.project | Norges forskningsråd: 193823 | nb_NO |
dc.description.localcode | © 2012 Published by Elsevier Ltd. Open access under CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/3.0/) | nb_NO |
cristin.unitcode | 194,64,91,0 | |
cristin.unitname | Institutt for bygg- og miljøteknikk | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |