Convex optimisation model for ship speed profile

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorHuotari, Janne
dc.contributor.authorManderbacka, Teemu
dc.contributor.authorRitari, Antti
dc.contributor.authorTammi, Kari
dc.contributor.departmentMechatronics
dc.contributor.departmentNapa Ltd
dc.contributor.departmentDepartment of Mechanical Engineeringen
dc.date.accessioned2021-08-04T06:45:22Z
dc.date.available2021-08-04T06:45:22Z
dc.date.issued2021-07-01
dc.descriptionFunding Information: Funding: This research was funded by the Aalto University School of Engineering doctoral school. Publisher Copyright: © 2020 by the authors. Licensee MDPI, Basel, Switzerland.
dc.description.abstractWe present a novel convex optimisation model for ship speed profile optimisation under varying environmental conditions, with a fixed schedule for the journey. To demonstrate the efficacy of the proposed method, a combined speed profile optimisation model was developed that employed an existing dynamic programming approach, along the novel convex optimisation model. The proposed model was tested with 5 different ships for 20 journeys from Houston, Texas to London Gateway, with differing environmental conditions, which were retrieved from actual weather forecasts. As a result, it was shown that the combined model with both dynamic programming and convex optimisation was approximately 22% more effective in developing a fuel saving speed profile compared to dynamic programming alone. Overall, average fuel savings for the studied voyages with speed profile optimisation was approximately 1.1% compared to operation with a fixed speed and 3.5% for voyages where significant variance in environmental conditions was present. Speed profile optimisation was found to be especially beneficial in cases where detrimental environmental conditions could be avoided with minor speed adjustments. Relaxation of the fixed schedule constraint likely leads to larger savings but makes comparison virtually impossible as a lower speed leads to lower propulsion energy needed.en
dc.description.versionPeer revieweden
dc.format.extent23
dc.format.mimetypeapplication/pdf
dc.identifier.citationHuotari , J , Manderbacka , T , Ritari , A & Tammi , K 2021 , ' Convex optimisation model for ship speed profile : Optimisation under fixed schedule ' , Journal of Marine Science and Engineering , vol. 9 , no. 7 , 730 . https://doi.org/10.3390/jmse9070730en
dc.identifier.doi10.3390/jmse9070730
dc.identifier.issn2077-1312
dc.identifier.otherPURE UUID: cfba110c-bd1e-4032-8c7c-6bc9eeb63627
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/cfba110c-bd1e-4032-8c7c-6bc9eeb63627
dc.identifier.otherPURE LINK: http://www.scopus.com/inward/record.url?scp=85110297448&partnerID=8YFLogxK
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/66233879/ENG_Huotari_et_al_Convex_Optimisation_Model_Journal_of_Marine_Science_and_Engineering.pdf
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/108963
dc.identifier.urnURN:NBN:fi:aalto-202108048207
dc.language.isoenen
dc.publisherMDPI AG
dc.relation.ispartofseriesJournal of Marine Science and Engineeringen
dc.relation.ispartofseriesVolume 9, issue 7en
dc.rightsopenAccessen
dc.subject.keywordConvex optimisation
dc.subject.keywordDijkstra’s algorithm
dc.subject.keywordSpeed optimisation
dc.subject.keywordVoyage optimisation
dc.titleConvex optimisation model for ship speed profileen
dc.typeA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessäfi
dc.type.versionpublishedVersion
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