dc.contributor.advisor | Chaudhuri, Arnab | |
dc.contributor.author | Kluftødegård, Mats | |
dc.date.accessioned | 2020-10-02T12:12:46Z | |
dc.date.available | 2020-10-02T12:12:46Z | |
dc.date.issued | 2020 | |
dc.identifier.uri | https://hdl.handle.net/10642/8990 | |
dc.description | Master i energi og miljø i bygg | en |
dc.description.abstract | This work reports a proper orthogonal decomposition (POD)-interpolation based prediction of indoor airflows related to displacement ventilation.
Steady-state computational fluid dynamics (CFD) solution snapshots with varying relevant non-dimensional number are used to estimate the dominant POD coefficients/modal amplitudes and POD modes. A cubic spline interpolation of the POD coefficients is used to compute the solution for desired value of the non-dimensional number of interest. The verification 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. CFD solutions for a standard displacement ventilation configuration is then used to decompose the flow field variables in terms of Archimedes number dependent POD coefficients and associated space dependent POD bases. A detailed analysis of the CFD and POD-interpolated predicted flow-field variables for displacement ventilation cases, error estimates and the spatial structures of the POD modes are presented. | en |
dc.language.iso | en | en |
dc.publisher | OsloMet - storbyuniversitetet. Institutt for bygg- og energiteknikk | en |
dc.relation.ispartofseries | MAEN;2020 | |
dc.subject | POD-interpolation | en |
dc.subject | Indoor airflows | en |
dc.subject | Data driven | en |
dc.subject | CFD | en |
dc.title | POD-interpolation based analysis of indoor airflows | en |
dc.type | Master thesis | en |
dc.description.version | publishedVersion | en |