TES-PD: A Fast and Reliable Numerical Model to Predict the Performance of Thermal Reservoir for Electricity Energy Storage Units

datacite.relatedItem.firstPage256
datacite.relatedItem.issue7
datacite.relatedItem.relatedIdentifierTypeISSN
datacite.relatedItem.relatedItemIdentifier2311-5521
datacite.relatedItem.relationTypeIsPublishedIn
datacite.relatedItem.titleFluids
datacite.relatedItem.volume6
dc.contributor.authorAlberto Benato
dc.contributor.authorFrancesco De Vanna
dc.contributor.authorEnnio Gallo
dc.contributor.authorAnna Stoppato
dc.contributor.authorGiovanna Cavazzini
dc.date.accessioned2025-04-17T11:51:22Z
dc.date.available2025-04-17T11:51:22Z
dc.date.issued2021
dc.identifier.doihttps://doi.org/10.3390/fluids6070256
dc.identifier.otherjz000105-0154
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/19390
dc.publisherMDPI AG
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc530
dc.titleTES-PD: A Fast and Reliable Numerical Model to Predict the Performance of Thermal Reservoir for Electricity Energy Storage Units
dc.typeArticle
dcat.distribution.pdfhttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/19391
dcat.distribution.supplierxmlhttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/19392
dspace.entity.typeDataset
relation.isDistributionOfDataset997a2483-6c6c-4d19-bb3d-7c94fdde9717
relation.isDistributionOfDataseta5c1da96-b746-49b4-8be6-40d2fbc03903
relation.isDistributionOfDataseta70c383c-99dc-4e4c-a2a2-66ea0f0c1716
relation.isDistributionOfDataset.latestForDiscovery997a2483-6c6c-4d19-bb3d-7c94fdde9717
wdm.archivematicaaipuuid.original733a6c91-a820-4e44-b038-a4c4a027c6a5

Files

Collections