Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/115176
DC FieldValueLanguage
dc.contributor.authorDíaz Ojeda, Héctor Rubénen_US
dc.contributor.authorMartínez López, Albaen_US
dc.contributor.authorGonzález, M.M.en_US
dc.contributor.authorMarrero, Á.en_US
dc.date.accessioned2022-06-13T08:23:46Z-
dc.date.available2022-06-13T08:23:46Z-
dc.date.issued2022en_US
dc.identifier.isbn9781003320272en_US
dc.identifier.urihttp://hdl.handle.net/10553/115176-
dc.description.abstractOver the last decade, progressive restrictions on permitted emissions for maritime transport (Annex VI of MARPOL 73/78) have led to numerous optimizations for the sizing of Short Sea Shipping (SSS) vessels, their operation and propulsion systems. However, many of these optimization processes are based on resistance prediction methods with low accuracy levels as “early decision-making tools’’. Consequently, their results have led to miscalculations of the propulsion power required to sail at optimal speeds. This study quantifies, in monetary terms, the environmental consequences of this lack of accuracy. To meet this aim, the paper assesses the performance deviations of a particular SSS feeder vessel, which was optimized by assuming standard resistance prediction techniques, when its propulsion power requirements for sailing at optimized speed were assessed through the Reynolds-Averaged Navier-Stokes method in Computational Fluid Dynamic simulations. The findings are analyzed in environmental terms to provide useful information about the consequences of underestimating the accuracy of the resistance prediction for SSS vessels.en_US
dc.languageengen_US
dc.publisherCRC Press (Taylor and Francis Group)en_US
dc.sourceTrends in Maritime Technology and Engineering / C. Guedes Soares, T.A. Santos (eds.), v. 1en_US
dc.subject3312 Tecnología de materialesen_US
dc.titleEnvironmental effects for ship optimization assuming standard resistance predictionen_US
dc.typeinfo:eu-repo/semantics/bookParten_US
dc.typeBookParten_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Capítulo de libroen_US
dc.description.observaciones6th International Conference on Maritime Technology and Engineering (MARTECH 2022, Lisbon, Portugal, 24-26 May 2022)en_US
dc.utils.revisionen_US
dc.identifier.ulpgcen_US
dc.identifier.ulpgcen_US
dc.identifier.ulpgcen_US
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-INGen_US
dc.contributor.buulpgcBU-INGen_US
dc.contributor.buulpgcBU-INGen_US
dc.contributor.buulpgcBU-INGen_US
dc.description.spiqQ2
item.fulltextSin texto completo-
item.grantfulltextnone-
crisitem.author.deptGIR SIANI: Modelización y Simulación Computacional-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Ingeniería Mecánica-
crisitem.author.deptGIR Economía de las Infraestructuras, el Transporte y el Turismo-
crisitem.author.deptDepartamento de Ingeniería Mecánica-
crisitem.author.orcid0000-0001-8045-0156-
crisitem.author.orcid0000-0003-4464-0600-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.parentorgDepartamento de Análisis Económico Aplicado-
crisitem.author.fullNameDíaz Ojeda, Héctor Rubén-
crisitem.author.fullNameMartínez López, Alba-
Appears in Collections:Capítulo de libro
Show simple item record

Google ScholarTM

Check

Altmetric


Share



Export metadata



Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.