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dc.contributor.authorLópez Plata, Israel 
dc.contributor.authorLalla Ruiz, Eduardo
dc.contributor.authorExpósito Izquierdo, Cristofer Juan 
dc.contributor.authorBarrios Fleitas, Yeray
dc.contributor.authorGonzález Ramírez, Rosa G.
dc.contributor.otherIngeniería Informática y de Sistemas
dc.date.accessioned2024-11-28T21:07:25Z
dc.date.available2024-11-28T21:07:25Z
dc.date.issued2024
dc.identifier.urihttp://riull.ull.es/xmlui/handle/915/40348
dc.description.abstractContainer terminals are essential nodes in global trade, facilitating worldwide cargo flows between various transport modes. However, their operations contribute significantly to global emissions, producing greenhouse gases like CO 2 and pollutants such as nitrogen oxide. Mitigating that impact requires integrating green technologies and goals as well as exploiting renewable energy sources into terminal planning and decision support systems. Optimization techniques are key for driving terminals into this green transformation. In recent years, there has been a relevant increase in research and attention to greening ports. This growing interest includes the development of effective strategies and optimization approaches to reduce the terminal’s environmental impact. This systematic literature review examines relevant studies in optimization and greening terminals from the past two years, highlighting examples such as implementing microgrids, cold ironing, autonomous electric vehicles, retrofitting yard machinery, or promoting truck platooning. We propose a research agenda to guide future efforts in this direction.en
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.relation.ispartofseriesCurrent Opinion in Environmental Sustainability 2024, 71:101490
dc.rightsLicencia Creative Commons (Reconocimiento-No comercial-Sin obras derivadas 4.0 Internacional)
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.es_ES
dc.titleGreening container terminals through optimization: systematic review on recent advancesen
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.1016/j.cosust.2024.101490


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Licencia Creative Commons (Reconocimiento-No comercial-Sin obras derivadas 4.0 Internacional)
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