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RBF-Trained POD-Accelerated CFD Analysis of Wind Loads on PV Systems
International Journal of Numerical Methods for Heat & Fluid Flow (2017)
  • Victor Huayamave, Embry-Riddle Aeronautical University
  • Andres Ceballos, University of Central Florida
  • Carolina Barriento, University of Central Florida
  • Hubert Seigneur, University of Central Florida
  • Stephen Barkaszi, University of Central Florida
  • Eduardo Divo, Embry-Riddle Aeronautical University
  • Alain Kassab, University of Central Florida
Abstract
Wind loading calculations are currently performed according to the ASCE 7 standard. Values in this standard were estimated from simplified models that do not necessarily take into account relevant flow characteristics. Thus, the standard does not have provisions to handle the majority of rooftop photovoltaic (PV) systems. Accurate solutions for this problem can be produced using a full-fledged three-dimensional computational fluid dynamics (CFD) analysis. Unfortunately, CFD requires enormous computation times, and its use would be unsuitable for this application which requires real-time solutions. To this end, a real-time response framework based on the proper orthogonal decomposition (POD) method is proposed.
Keywords
  • computational fluid mechanics,
  • photovoltaic systems,
  • proper orthogonal decomposition
Publication Date
March, 2017
DOI
https://doi.org/10.1108/HFF-03-2016-0083
Citation Information
Victor Huayamave, Andres Ceballos, Carolina Barriento, Hubert Seigneur, et al.. "RBF-Trained POD-Accelerated CFD Analysis of Wind Loads on PV Systems" International Journal of Numerical Methods for Heat & Fluid Flow Vol. 27 Iss. 3 (2017) p. 660 - 673 ISSN: 0961-5539
Available at: http://works.bepress.com/Victor_Huayamave/2/