Print Email Facebook Twitter Optimization of maintenance operations for offshore wind farms Title Optimization of maintenance operations for offshore wind farms Author Steendijk, Jasper (Student TU Delft) Beelaerts van Blokland, W.W.A. (TU Delft Transport Engineering and Logistics) Contributor Jahn, Carlos (editor) Kersten, Wolfgang (editor) Ringle, Christian M. (editor) Date 2019 Abstract Purpose: The paper provides insights regarding the optimal maintenance strategies for offshore wind farms. The maintenance strategies distinct from each other with location of the operation base and manner of logistics regarding the vessels. Methodology: The methodology for modelling the transport for maintenance operations for offshore wind farms is done with a discrete event simulation with data regarding offshore maintenance operations provided from a large-scale research. Findings: The paper conclude with the optimal maintenance strategy based on theoptimal location of the operation base in combination with the best manner of logistics to achieve t he preferred requirements with the least transportation costs withinthe boundaries and limitations of this research. Originality: There are no current papers regarding the maintenance operations for offshore wind farms located far in the Nord Sea. Subject Offshore wind farmsMaintenance strategiesOptimizationLogistics To reference this document use: http://resolver.tudelft.nl/uuid:7aa52482-f7b8-402d-aae3-ea2313c99e54 DOI https://doi.org/10.15480/882.2489 Publisher epubli GmbH, Berlin, Germany ISBN 978-3-7502-4949-3 Source Digital Transformation in Maritime and City Logistics: Smart Solutions for Logistics Event HICL 2019: Hamburg International Conference of Logistics, 2019-09-26 → 2019-09-27, Hamburg, Germany Series Proceedings of the Hamburg International Conference of Logistics (HICL), 28 Part of collection Institutional Repository Document type conference paper Rights © 2019 Jasper Steendijk, W.W.A. Beelaerts van Blokland Files PDF hicl_2019_28_055.pdf 1 MB Close viewer /islandora/object/uuid:7aa52482-f7b8-402d-aae3-ea2313c99e54/datastream/OBJ/view