TY - JOUR
T1 - RBF-Trained POD-Accelerated CFD Analysis of Wind Loads on PV Systems
AU - Huayamave, Victor
AU - Ceballos, Andres
AU - Barriento, Carolina
AU - Seigneur, Hubert
AU - Barkaszi, Stephen
AU - Divo, Eduardo
AU - Kassab, Alain
N1 - The date on your computer is in the past. If your computer's clock shows a date before 1 Jan 1970, the browser will automatically forget the cookie. To fix this, set the correct time and date on your computer.
PY - 2017/3
Y1 - 2017/3
N2 - 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.
AB - 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.
KW - computational fluid mechanics
KW - photovoltaic systems
KW - proper orthogonal decomposition
UR - https://www.emeraldinsight.com/doi/full/10.1108/HFF-03-2016-0083
U2 - 10.1108/HFF-03-2016-0083
DO - 10.1108/HFF-03-2016-0083
M3 - Article
SN - 1758-6585
VL - 27
JO - International Journal of Numerical Methods for Heat & Fluid Flow
JF - International Journal of Numerical Methods for Heat & Fluid Flow
ER -