TY - JOUR
T1 - Analysis of Aerodynamic Loads on Heliostats at Operation Position Using Large Eddy Simulation and the Consistent Discrete Random Flow Generation Method
AU - Duran, R. L.
AU - Hinojosa, J. F.
AU - Maytorena, V. M.
AU - Moreno, S.
N1 - Publisher Copyright:
Copyright © 2024 by ASME.
PY - 2024/8/1
Y1 - 2024/8/1
N2 - This study utilizes the large eddy simulation model (LES) and a synthetic method based on the Fourier technique called consistent discrete random flow generation (CDRFG) to analyze the peak aerodynamic loads on heliostats due to the atmospheric boundary layer. With the CDRFG technique, key flow parameters, including mean velocity profile, turbulent intensities, integral length scales, and turbulent spectra generated in wind tunnels, can be replicated while also satisfying the divergence-free condition. A three-facet heliostat with an elevation angle of α = 45 deg and the rear aligned to the inflow was analyzed. The heliostat behaves like a lifting surface in this orientation, accentuating the aerodynamic effect. The methodology proposed in this study can accurately reproduce flow statistics and predict the peak loads. Compared to experimental data, differences of 2.62% for drag, 7.43% for lift, and 11.0% for overturning were observed. Furthermore, the simulation reveals the generation of wingtip vortices on the sides of the heliostat, which contribute to the aerodynamic load. Overall, this technique has been demonstrated to be effective in replicating the atmospheric boundary layer and predicting the aerodynamic coefficients of heliostats.
AB - This study utilizes the large eddy simulation model (LES) and a synthetic method based on the Fourier technique called consistent discrete random flow generation (CDRFG) to analyze the peak aerodynamic loads on heliostats due to the atmospheric boundary layer. With the CDRFG technique, key flow parameters, including mean velocity profile, turbulent intensities, integral length scales, and turbulent spectra generated in wind tunnels, can be replicated while also satisfying the divergence-free condition. A three-facet heliostat with an elevation angle of α = 45 deg and the rear aligned to the inflow was analyzed. The heliostat behaves like a lifting surface in this orientation, accentuating the aerodynamic effect. The methodology proposed in this study can accurately reproduce flow statistics and predict the peak loads. Compared to experimental data, differences of 2.62% for drag, 7.43% for lift, and 11.0% for overturning were observed. Furthermore, the simulation reveals the generation of wingtip vortices on the sides of the heliostat, which contribute to the aerodynamic load. Overall, this technique has been demonstrated to be effective in replicating the atmospheric boundary layer and predicting the aerodynamic coefficients of heliostats.
KW - atmospheric boundary layer (ABL)
KW - computational fluid dynamics
KW - fluid flow
KW - heliostat
KW - large eddy simulation
KW - renewable energy
KW - solar tower power plant
UR - http://www.scopus.com/inward/record.url?scp=85185894341&partnerID=8YFLogxK
U2 - 10.1115/1.4064502
DO - 10.1115/1.4064502
M3 - Artículo
AN - SCOPUS:85185894341
SN - 0199-6231
VL - 146
JO - Journal of Solar Energy Engineering, Transactions of the ASME
JF - Journal of Solar Energy Engineering, Transactions of the ASME
IS - 4
M1 - 041003
ER -