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dc.contributor.authorBacke, Stian
dc.date.accessioned2017-08-21T06:57:39Z
dc.date.available2017-08-21T06:57:39Z
dc.date.issued2017-08-01
dc.date.submitted2017-07-31T22:00:04Z
dc.identifier.urihttps://hdl.handle.net/1956/16367
dc.description.abstractThis work describes logistical planning of offshore wind farm installation through mathematical optimization. Two optimization models are developed to analyse cost-effective port and vessel strategies for offshore installation operations. By applying principals of mixed integer linear programming (MILP), the two models seek to minimize total costs through port- and vessel related decisions. The models cover offshore transportation and installation of a given amount of wind turbines. Different vessel strategies, ports, time horizon and weather restrictions are considered in the models. Several deterministic test cases with fixed cost parameters and historic weather data are implemented in AMPL and run with the CPLEX solver. The test cases show promising results in aiding strategic decisions, and the models provide valuable insight into economic impact of such decisions. The results indicate that decision aid could be more reliable if smaller sub-problems are considered, potentially in a stochastic framework.en_US
dc.language.isoengeng
dc.publisherThe University of Bergenen_US
dc.subjectoperational analysiseng
dc.subjectoffshore windeng
dc.subjectMILPeng
dc.subjectOptimizationeng
dc.subjectenergy analysiseng
dc.subjectinstallationeng
dc.subjectlogisticseng
dc.titleStrategic optimization of offshore wind farm installationen_US
dc.typeMaster thesis
dc.date.updated2017-07-31T22:00:04Z
dc.rights.holderCopyright the Author. All rights reserveden_US
dc.description.degreeMasteroppgave i energien_US
dc.description.localcodeMAMN-ENERG
dc.description.localcodeENERGI399
dc.subject.nus752903eng
fs.subjectcodeENERGI399
fs.unitcode12-44-00


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