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dc.date.accessioned2021-03-10T14:32:17Z
dc.date.issued2019-05-24
dc.identifierdoi:10.17170/kobra-202103103476
dc.identifier.urihttp://hdl.handle.net/123456789/12608
dc.descriptionThis is a revised manuscript of the article "System efficient integration of standby control and heat pump storage systems in manufacturing processesn". The final authenticated version is available online at: https://doi.org/10.1016/j.energy.2019.05.113ger
dc.language.isoengeng
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectdesign of experimentseng
dc.subjectheat pumpeng
dc.subjecttotal site heat integrationeng
dc.subjectstandby controleng
dc.subjectmaterial flow simulationeng
dc.subject.ddc333
dc.subject.ddc670
dc.titleSystem efficient integration of standby control and heat pump storage systems in manufacturing processeseng
dc.typeAufsatz
dcterms.abstractPrerequisite for system efficiency towards an industrial energy transition is the reducing of energy demand on the process level. In typical manufacturing systems with machine tools and washing machines, the proper design of intelligent standby control and heat pump storage system (HPS) represent high efficiency. The integration of HPS is complicated due to high non-continuity, especially when implementing a standby control system. Our approach aims at designing one single HPS for multiple heat sources and sinks. Robust design should consider the various influencing material flow system factors. For the generation of stochastic heating and cooling demand sum curves, 512 Design of Experiments-based material flow simulations for each of three standby scenarios have been conducted. These curves serve as input data for HPS sizing and dynamic thermal system simulation. The combined integration of an HPS and a practical standby control system offers the best compromise in terms of system efficiency with significantly lower investment costs and only slightly lower energy savings than ideal standby operation. Compared to the initial state, the electrical energy demand of the machines can be reduced by 27% and both the heating (83%) and cooling (48%) demand can be efficiently covered by HPs.eng
dcterms.accessRightsopen access
dcterms.creatorSchlosser, Florian
dcterms.creatorSeevers, Jan-Peter
dcterms.creatorPeesel, Ron-Hendrik
dcterms.creatorWalmsley, Timothy Gordon
dc.relation.doidoi:10.1016/j.energy.2019.05.113
dc.subject.swdVersuchsplanungger
dc.subject.swdWärmepumpeger
dc.subject.swdMaterialflussplanungger
dc.subject.swdSimulationger
dc.subject.swdProduktionsprozessger
dc.subject.swdEnergieeinsparungger
dc.type.versionacceptedVersion
dcterms.source.identifierEISSN 0360-5442
dcterms.source.journalEnergyeng
dcterms.source.pageinfo395-406
dcterms.source.volumeVolume 181
ubks.embargo.terms2021-05-24
ubks.embargo.end2021-05-24
kup.iskupfalse


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