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On the Integration of Hydrogen in multipurpose wave energy platforms

datacite.subject.fosEngenharia e Tecnologia::Engenharia Mecânica
datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.fosEngenharia e Tecnologia::Outras Engenharias e Tecnologias
datacite.subject.sdg07:Energias Renováveis e Acessíveis
datacite.subject.sdg12:Produção e Consumo Sustentáveis
datacite.subject.sdg13:Ação Climática
dc.contributor.authorMourão, Guilherme
dc.contributor.authorPortillo, Juan C. C.
dc.date.accessioned2025-10-01T10:31:03Z
dc.date.available2025-10-01T10:31:03Z
dc.date.issued2025-09
dc.description.abstractABSTRACT: his work presents an integrated numerical modelling approach implemented in Modelica language, which combines a multipurpose wave energy floating platform made of multiple oscillating water columns and the production and storage of green hydrogen in the same platform. The modelling approach comprised the simulation of the platform in WAMIT from which the hydrodynamic coefficients were obtained that serve as input for the integrated model implemented in Modelica. The Cherry Library for electrolysis processes and new modules developed in this work for storage were used and coupled to a model for the five-oscillating-water-column floating platform. The optimisation of hydrogen production based on hydrodynamic performance and energy conversion from waves off the coast of Portugal was conducted to identify optimal green hydrogen production parameters. The operational performance of the system was studied in detail for four representative days of the seasons to estimate optimal production of green hydrogen from ocean waves under those conditions. Dispatch of hydrogen and its conversion to other sustainable fuels, such as methanol or Ammonia are also discussed in terms of the total levelised cost of hydrogen (LCOH). A new tool developed at the National Laboratory for Energy and Geology was implemented to estimate costs. Results are still under progress.eng
dc.identifier.citationMourão, G.B. & Portillo, J.C.C. (2025). On the Integration of Hydrogen in multipurpose wave energy platforms. In: Proceedings EWTEC 2025: European Wave and Tidal Energy Conference, vol. 16, 7-11 Sep. 2025, Funchal, pp. 1111-1-1111-10. https://doi.org/10.36688/ewtec-2025-1111
dc.identifier.doi10.36688/ewtec-2025-1111
dc.identifier.issn2706-6940
dc.identifier.urihttp://hdl.handle.net/10400.9/6081
dc.language.isoeng
dc.peerreviewedyes
dc.publisherEuropean Wave and Tidal Energy Conference
dc.relationAssociate Laboratory of Energy, Transports and Aeronautics
dc.relation.hasversionhttps://submissions.ewtec.org/proc-ewtec/article/view/1111
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectWave energy
dc.subjectOscillating water column
dc.subjectGreen hydrogen
dc.subjectMultipurpose platforms
dc.titleOn the Integration of Hydrogen in multipurpose wave energy platformseng
dc.typeconference paper
dspace.entity.typePublication
oaire.awardTitleAssociate Laboratory of Energy, Transports and Aeronautics
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50022%2F2020/PT
oaire.citation.conferenceDate2025-09
oaire.citation.conferencePlaceFunchal, Madeira
oaire.citation.endPage1111-10
oaire.citation.startPage1111-1
oaire.citation.title2025 European Wave and Tidal Energy Conference
oaire.citation.volume16
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNamePortillo
person.givenNameJuan C. C.
person.identifier.ciencia-idE71C-97C6-19DE
person.identifier.orcid0000-0003-4025-8076
person.identifier.ridAGU-8950-2022
person.identifier.scopus-author-id56970941300
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
relation.isAuthorOfPublication45d870cb-2f4f-4079-9217-690c4cc55394
relation.isAuthorOfPublication.latestForDiscovery45d870cb-2f4f-4079-9217-690c4cc55394
relation.isProjectOfPublication1a75cf98-7b15-4b6d-9f6f-0bd46794cd16
relation.isProjectOfPublication.latestForDiscovery1a75cf98-7b15-4b6d-9f6f-0bd46794cd16

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