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Identification of Optimal Biomass Utilization – Characteristics and Challenges

dc.contributor.authorRapp, Barbara
dc.contributor.authorSonnenschein, Michael
dc.contributor.editorPage, Bernd
dc.contributor.editorFleischer, Andreas G.
dc.contributor.editorGöbel, Johannes
dc.contributor.editorWohlgemuth, Volker
dc.date.accessioned2019-09-16T03:13:26Z
dc.date.available2019-09-16T03:13:26Z
dc.date.issued2013
dc.description.abstractInterlinked biomass supply chains can be considered as a loose coupling of independent, distributed players. By means of loose (and therefore flexibly alterable) coupling, a regional network of (basically) small players is formed that offers an extensible portfolio of processes, which can be used in variable combinations. Superior sustainability objectives allow for considering energy efficiency, ecological rucksack and other higher-level objectives. If these superior objectives are taken into account simultaneously during network formation, the problem of assigning limited resources to utilization processes in a global optimal way arises. This work-in-progress paper will introduce the preliminary work on an adaptive and resilient system that is able to identify sustainable biomass utilization networks in an unsupervised way. The paper will focus on the model used and point out the requirements for possible algorithms used for optimization of these networks under sustainability objectives.de
dc.description.urihttp://enviroinfo.eu/sites/default/files/pdfs/vol7995/0025.pdfde
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/25861
dc.publisherShaker Verlag
dc.relation.ispartofProceedings of the 27th Conference on Environmental Informatics - Informatics for Environmental Protection, Sustainable Development and Risk Management
dc.relation.ispartofseriesEnviroInfo
dc.titleIdentification of Optimal Biomass Utilization – Characteristics and Challengesde
dc.typeText/Conference Paper
gi.citation.publisherPlaceAachen
gi.conference.date2013
gi.conference.locationHamburg
gi.conference.sessiontitleRenewable Energy and Wind Farms

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