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dc.contributor.authorSkjong, Espen
dc.contributor.authorJohansen, Tor Arne
dc.contributor.authorMolinas Cabrera, Maria Marta
dc.contributor.authorSørensen, Asgeir Johan
dc.date.accessioned2017-09-01T12:58:07Z
dc.date.available2017-09-01T12:58:07Z
dc.date.created2017-01-20T17:00:06Z
dc.date.issued2017
dc.identifier.issn2332-7782
dc.identifier.urihttp://hdl.handle.net/11250/2452820
dc.description.abstractRecently, the efficiency of diesel-electric marine vessels has been subject for discussion with focus on improving fuel efficiency, reducing the environmental footprint from emissions, as well as reducing running hours and maintenance costs. This paper presents an analysis of load profiles extracted from three different vessels during operation: 1) a ferry; 2) a platform supply vessel; and 3) a seismic survey vessel. The analysis of the extracted data shows that the loadings of the diesel engines are typically quite low, and do not fall within the optimal loading range of diesel engines' specific fuel oil consumption curves. Furthermore, three different power plant configurations are proposed and compared, which include fixed-speed (diesel engine generators) and variable-speed gensets and the implementation of an energy storage system. Moreover, energy management system (EMS) algorithms based on mixed-integer linear programming (MILP) are proposed as a suitable strategy for optimal unit commitment in the power generation. The results yielded from the MILP algorithms are compared with those from the EMS algorithms based on logic such as if/else statements. The results indicate that optimal EMS algorithms in combination with a revised vessel configuration can increase the operational efficiency, in terms of fuel savings and reduction in genset running hours.nb_NO
dc.language.isoengnb_NO
dc.publisherIEEEnb_NO
dc.titleApproaches to Economic Energy Management in Diesel-Electric Marine Vesselsnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.source.journalIEEE Transactions on Transportation Electrificationnb_NO
dc.identifier.doi10.1109/TTE.2017.2648178
dc.identifier.cristin1434280
dc.description.localcode© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. This is the authors' accepted and refereed manuscript to the article.nb_NO
cristin.unitcode194,63,25,0
cristin.unitcode194,64,20,0
cristin.unitnameInstitutt for teknisk kybernetikk
cristin.unitnameInstitutt for marin teknikk
cristin.ispublishedtrue
cristin.fulltextpostprint


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