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An IT-architecture to support energy efficiency and the usage of flexible loads at a container terminal

dc.contributor.authorIhle, Norman
dc.contributor.authorRunge, Serge
dc.contributor.authorGrundmeier, Nico
dc.contributor.authorMeyer-Barlag, Claas
dc.contributor.authorAppelrath, H.-Jürgen
dc.contributor.editorGómez, Jorge Marx
dc.contributor.editorSonnenschein, Michael
dc.contributor.editorVogel, Ute
dc.contributor.editorWinter, Andreas
dc.contributor.editorRapp, Barbara
dc.contributor.editorGiesen, Nils
dc.date.accessioned2019-09-16T03:12:59Z
dc.date.available2019-09-16T03:12:59Z
dc.date.issued2014
dc.description.abstractThis paper presents a component-based software architecture that enables a container terminal to optimize their energy demand and the flexibility of this demand. This flexibility is gained from using energy-intensive battery-powered Automated Guided Vehicles (AGVs) for container transport within the terminal. While Demand Response strategies are known and already applied in some industrial branches, it is not yet common in the logistics domain due to highly dynamical and time-critical processes. In order to forecast the energy demand for the terminal and to be able to optimize it while having constantly changing logistic processes, the architecture includes modules to process a simulation based forecast of the power demand, optimize the demand by changing battery charging plans and to control the execution of the optimizations.de
dc.description.urihttp://enviroinfo.eu/sites/default/files/pdfs/vol8514/0357.pdfde
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/25750
dc.publisherBIS-Verlag
dc.relation.ispartofProceedings of the 28th Conference on Environmental Informatics - Informatics for Environmental Protection, Sustainable Development and Risk Management
dc.relation.ispartofseriesEnviroInfo
dc.titleAn IT-architecture to support energy efficiency and the usage of flexible loads at a container terminalde
dc.typeText/Conference Paper
gi.citation.publisherPlaceOldenburg
gi.conference.date2014
gi.conference.locationOldenburg
gi.conference.sessiontitleSmart Grids

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