2020
DOI: 10.1093/jom/ufaa010
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Numerical simulation of wind loads on an offshore PV panel: the effect of wave angle

Abstract: This numerical simulation determines the wind loads on a stand-alone solar panel in a marine environment. The initial angle of tilt is 20° and 40° and the wind is incident at an angle of 0–180° (in increments of 45°). The wave angle affects the motion of a pontoon. For a wave angle of 0–180° (in increments of 45°), the variation in the surface pressure pattern and the lift coefficient with the angle of incidence of wind and waves in a single period is determined. The lift force is determined by competing the t… Show more

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Cited by 13 publications
(6 citation statements)
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“…Roof-mounted panels are influenced by surrounding walls and building edges, causing airflow separation and vortex generation, which may lead to a high-pressure zone on the roof [8]. The loads on the panels are determined by their inclination angle, affected by different factors including wind direction, panel position, and building height [9,10]. A ground-mounted solar system, on the other hand, is a free-standing solar system that is mounted on the ground.…”
Section: Literature Reviewmentioning
confidence: 99%
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“…Roof-mounted panels are influenced by surrounding walls and building edges, causing airflow separation and vortex generation, which may lead to a high-pressure zone on the roof [8]. The loads on the panels are determined by their inclination angle, affected by different factors including wind direction, panel position, and building height [9,10]. A ground-mounted solar system, on the other hand, is a free-standing solar system that is mounted on the ground.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The standard k-epsilon model is a widely adopted and robust turbulence model known for accurately representing turbulent flow phenomena. The efficacy of this turbulence model has been highlighted in numerous recent research studies examining the impact of wind load and patterns on solar PV panels and arrays, making it a frequent choice for conducting numerical simulations in this context [10,[28][29][30]. By solving the transport equations for turbulent kinetic energy (k) and the dissipation rate of turbulent kinetic energy (ε), the model accurately predicts the flow behaviour.…”
Section: Numerical Model Computational Schemementioning
confidence: 99%
“…The primary production changed less than 10% when the coverage of PV/FPV panels model was up to 20% (Figure 15b) [75]. Su et al [76] proposed a study to examine the wind loads on a standalone solar panel in a marine environment throughout a wave cycle. A change in deviation of the angle tilt, 20° and 40°, corresponds to variation of wave angle (0-180°).…”
Section: 14 X For Peer Review 12 Of 31mentioning
confidence: 99%
“…(a) Oyster Grounds (OG), West Gabbard (WG), and Noordwijk-10 (NW) sampling stations. (b) Relative change against the reference of net primary production with coverage for the three locations of the experiment and different values of roughness height of the platforms.Su et al[76] proposed a study to examine the wind loads on a standalone solar panel in a marine environment throughout a wave cycle. A change in deviation of the angle tilt, 20 • and 40 • , corresponds to variation of wave angle (0-180 • ).…”
mentioning
confidence: 99%
“…The 3D Reynoldsaveraged Navier-Stokes simulations use a finite volume solver with a steady velocity inlet condition. The parameter of a reliable k-epsilon model with a first grid point of y + ~30 was used herein [20,21]. The model with flows involving boundary layers under strong adverse pressure gradients, separation, and recirculation exhibits superior performance to the SST k-omega model [22].…”
Section: Numerical Setupmentioning
confidence: 99%