dc.contributor.author | Kluftødegård, Mats | |
dc.contributor.author | Chaudhuri, Arnab | |
dc.date.accessioned | 2020-10-16T08:08:18Z | |
dc.date.available | 2020-10-16T08:08:18Z | |
dc.date.issued | 2020 | |
dc.identifier.isbn | 978-82-536-1679-7 | |
dc.identifier.issn | 2387-4295 | |
dc.identifier.uri | https://hdl.handle.net/11250/2683230 | |
dc.description.abstract | This work reports a proper orthogonal decomposition (POD)-interpolation based prediction of indoor airows related to displacement ventilation. Steadystate computational uid dynamics (CFD) solution snapshots with varying relevant non-dimensional number are used to estimate the dominant POD coe _cients/modal amplitudes and POD modes. A cubic spline interpolation of the POD coe_cients is used to compute the solution for desired value of the non-dimensional number of interests. The veri_cation and validation of this data-driven procedure is performed considering a 2D mixed convection problem involving a horizontal channel with cavity heated from below for a range of Richardson numbers. On the other hand, CFD solutions for a standard displacement ventilation con_guration is used to decompose the ow _eld variables in terms of Archimedes number dependent POD coe_cients and associated space dependent POD bases. A detailed analysis of the CFD and POD-interpolated predicted ow-_eld variables for displacement ventilation cases, error estimates and the spatial structures of the POD modes are presented. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | SINTEF Academic Press | en_US |
dc.relation.ispartof | International Conference Organised by IBPSA-Nordic, 13th–14th October 2020, OsloMet. BuildSIM-Nordic 2020. Selected papers | |
dc.relation.ispartofseries | SINTEF Proceedings;5 | |
dc.rights | CC-BY-NC-ND | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/deed.no | * |
dc.title | POD-interpolation based prediction of indoor airflows | en_US |
dc.type | Chapter | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Conference object | |
dc.description.version | publishedVersion | en_US |
dc.rights.holder | © The authors. Published by SINTEF Academic Press 2020
This is an open access publication under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). | en_US |
dc.subject.nsi | VDP::Teknologi: 500 | en_US |
dc.identifier.cristin | 1839892 | |