POD-accelerated CFD analysis of wind loads on PV systems

dc.contributor.authorHuayamave, V.
dc.contributor.authorCeballos, A.
dc.contributor.authorDivo, E.A.
dc.contributor.authorKassab, A.
dc.contributor.authorBarkaszi, S.
dc.contributor.authorSeigneur, H.
dc.contributor.authorBarriento, C.
dc.date.accessioned2015-04-24T07:20:43Z
dc.date.available2015-04-24T07:20:43Z
dc.date.issued2014
dc.description.abstractPaper presented to the 10th International Conference on Heat Transfer, Fluid Mechanics and Thermodynamics, Florida, 14-16 July 2014.en_ZA
dc.description.abstractA real-time response framework based on the Proper Orthogonal Decomposition (POD) method is proposed to provide a solution that would not only take advantage of the great detail and accuracy of a grid-converged 3D computational fluid dynamics (CFD) analysis but also calculate, in real-time, flow features and loads that result from wind-induced drag and lift forces on Photo-Voltaic (PV) systems. The key is to generate beforehand and off-line an extensive set of solutions, i.e. pressure and shear stress distributions over the PV system surface, using CFD within a predefined design space (module sizes, wind speeds, topographies, roof dimensions, pitch, etc.). These solutions are then organized to form the basis snapshots of a POD decomposition matrix. An interpolation network using radial-basis functions (RBF) will be employed to predict the solution from the POD decomposition given a set of values of the design variables. The entire POD matrix and RBF interpolation network are stored in a database that can be accessed remotely by the wind-load calculator tool and therefore predict the solution, flow features and loads, in real time. The trained POD-RBF acts as a multifaceted interpolation that preserves the physics of the problem and has been tested and validated by performing the fast algebraic interpolation to obtain the pressure distribution on the PV system surface and comparing them to actual grid-converged fully-turbulent 3D CFD solutions at the specified values of the design variables (wind speed and angle).en_ZA
dc.description.librariancf2015en_ZA
dc.format.mediumPDFen_ZA
dc.identifier.citationHuayamave, V, Ceballos, A, Divo, E, Kassab, A, Barkaszi, S, Seigneur, H, Barriento, C 2014, 'POD-accelerated CFD analysis of wind loads on PV systems', Paper presented to the 10th International Conference on Heat Transfer, Fluid Mechanics and Thermodynamics, Florida, 14-16 July 2014.en_ZA
dc.identifier.isbn97817759206873
dc.identifier.urihttp://hdl.handle.net/2263/44721
dc.publisherInternational Conference on Heat Transfer, Fluid Mechanics and Thermodynamicsen_ZA
dc.rights© 2014 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.en_ZA
dc.subjectWind loadsen_ZA
dc.subjectProper orthogonal decomposition methoden_ZA
dc.subjectCFD analysisen_ZA
dc.subjectFlow features and loadsen_ZA
dc.subjectPhoto-voltaic systemsen_ZA
dc.subjectRadial-basis functionsen_ZA
dc.titlePOD-accelerated CFD analysis of wind loads on PV systemsen_ZA
dc.typePresentationen_ZA

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