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dc.contributor.authorUriondo Arrúe, Zigor ORCID
dc.contributor.authorFernandes Salvador, Jose Antonio
dc.contributor.authorReite, Karl Johan
dc.contributor.authorQuincoces, Iñaki
dc.contributor.authorPazouki, Kayvan
dc.date.accessioned2024-05-20T17:25:45Z
dc.date.available2024-05-20T17:25:45Z
dc.date.issued2024
dc.identifier.citationACS Environmental Au 4(3) : 142-151 (2024)es_ES
dc.identifier.issn2694-2518
dc.identifier.urihttp://hdl.handle.net/10810/68057
dc.description.abstractFishing vessels need to adapt to and mitigate climate changes, but solution development requires better information about the environment and vessel operations. Even if ships generate large amounts of potentially useful data, there is a large variety of sources and formats. This lack of standardization makes identification and use of key data challenging and hinders its use in improving operational performance and vessel design. The work described in this paper aims to provide cost-effective tools for systematic data acquisition for fishing vessels, supporting digitalization of the fishing vessel operation and performance monitoring. This digitalization is needed to facilitate the reduction of emissions as a critical environmental problem and industry costs critical for industry sustainability. The resulting monitoring system interfaces onboard systems and sensors, processes the data, and makes it available in a shared onboard data space. From this data space, 209 signals are recorded at different frequencies and uploaded to onshore servers for postprocessing. The collected data describe both ship operation, onboard energy system, and the surrounding environment. Nine of the oceanographic variables have been preselected to be potentially useful for public scientific repositories, such as Copernicus and EMODnet. The data are also used for fuel prediction models, species distribution models, and route optimization models.es_ES
dc.description.sponsorshipThis work has been funded by the European Union’s Horizon 2020 research and innovation program under grant agreement no. 869342 (SusTunTech).es_ES
dc.language.isoenges_ES
dc.publisherACSes_ES
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/869342es_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjecttuna fisheryes_ES
dc.subjectfisheries digitalizationes_ES
dc.subjectclimate change mitigationes_ES
dc.subjectenvironmental sciencees_ES
dc.subjecttechnology researches_ES
dc.subjectdata sciencees_ES
dc.subjectsustainable systemses_ES
dc.titleToward digitalization of fishing vessels to achieve higher environmental and economic sustainabilityes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holder© 2024 The Authors. Published by American Chemical Society. This publication is licensed under CC-BY-NC-ND 4.0.es_ES
dc.rights.holderAtribución-NoComercial-SinDerivadas 3.0 España*
dc.relation.publisherversionhttps://pubs.acs.org/doi/full/10.1021/acsenvironau.3c00013es_ES
dc.identifier.doi10.1021/acsenvironau.3c00013
dc.contributor.funderEuropean Commission
dc.departamentoesIngeniería Energéticaes_ES
dc.departamentoeuEnergia Ingenieritzaes_ES


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© 2024 The Authors. Published by American Chemical Society. This publication is licensed under
CC-BY-NC-ND 4.0.
Except where otherwise noted, this item's license is described as © 2024 The Authors. Published by American Chemical Society. This publication is licensed under CC-BY-NC-ND 4.0.