Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/107807
DC FieldValueLanguage
dc.contributorFaculty of Business-
dc.creatorZhang, Q-
dc.creatorTan, Z-
dc.creatorWang, S-
dc.creatorZhen, L-
dc.date.accessioned2024-07-12T06:06:56Z-
dc.date.available2024-07-12T06:06:56Z-
dc.identifier.issn0305-0548-
dc.identifier.urihttp://hdl.handle.net/10397/107807-
dc.language.isoenen_US
dc.publisherElsevier Ltden_US
dc.subjectBranch-and-cuten_US
dc.subjectCarbon-free hydrogen porten_US
dc.subjectHydrogen energyen_US
dc.subjectShore hydrogen deploymenten_US
dc.titleShore hydrogen deployment problem in green portsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume165-
dc.identifier.doi10.1016/j.cor.2024.106585-
dcterms.abstractIn the context of carbon neutrality and peak carbon, research on emerging technologies for the clean, efficient, safe, and sustainable development of green ports and green shipping is crucial. The application of carbon-free hydrogen fuel cell technology to vessels and ports is seen as an effective solution. This study investigates the deployment of shore hydrogen in a green port, aiming to optimize a hydrogen energy retrofit and subsidy scheme to maximize the port’s profit and the hydrogen energy consumption given a limited government subsidy. A mixed integer linear programming model is constructed to take into account the reconstruction of the port and the retrofitting of the vessels calling at the port. We develop a tailored branch-and-cut algorithm to solve the problem. Extensive numerical experiments are carried out, and the results demonstrate the applicability and efficiency of the algorithm in solving the problem. The solution to the problem provided by our algorithm could promote the use of hydrogen energy while maintaining port profits, thereby effectively reducing carbon emissions from vessels calling at port.-
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationComputers and operations research, May 2024, v. 165, 106585-
dcterms.isPartOfComputers and operations research-
dcterms.issued2024-05-
dc.identifier.scopus2-s2.0-85185400558-
dc.identifier.eissn1873-765X-
dc.identifier.artn106585-
dc.description.validate202407 bcch-
dc.identifier.FolderNumbera2987aen_US
dc.identifier.SubFormID49057en_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Natural Science Foundation of Chinaen_US
dc.description.pubStatusPublisheden_US
dc.date.embargo2027-05-31en_US
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
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Embargo End Date 2027-05-31
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