Gerard Cortina
University of Utah
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Publication
Featured researches published by Gerard Cortina.
Journal of Renewable and Sustainable Energy | 2018
Naseem Ali; Nicholas Hamilton; Gerard Cortina; Marc Calaf; Raul Bayoan Cal
In the interest of understanding the dynamics and energy transfer between the atmospheric boundary layer and large wind turbine arrays, a description of the turbulence anisotropy in the wake region of wind turbines is necessary. Flux of high momentum flow into the wind turbine array by anisotropic turbulence is a dominant factor of mean kinetic energy resupply for the wind farm. Under thermal stratification, the behavior of the turbulence field, and the energy flux, is significantly altered. Here, a thermally stratified wind turbine array boundary layer is studied in detail using a combination of Lumley and barycentric maps together with the recently introduced spheroid and color maps. The atmospheric flow is modelled using a large eddy simulation driven by a constant geostrophic wind and a time-varying ground surface temperature, obtained from a selected period of the Cooperative Atmosphere-Surface Exchange Study-99 field experiment. The wind farm is modelled using the traditional actuator-disk with rota...
Boundary-Layer Meteorology | 2018
Seyed Hossein Hezaveh; Elie Bou-Zeid; John O. Dabiri; Matthias Kinzel; Gerard Cortina; Luigi Martinelli
Vertical-axis wind turbines (VAWTs) are being reconsidered as a complementary technology to the more widely used horizontal-axis wind turbines (HAWTs) due to their unique suitability for offshore deployments. In addition, field experiments have confirmed that vertical-axis wind turbines can interact synergistically to enhance the total power production when placed in close proximity. Here, we use an actuator line model in a large-eddy simulation to test novel VAWT farm configurations that exploit these synergistic interactions. We first design clusters with three turbines each that preserve the omni-directionality of vertical-axis wind turbines, and optimize the distance between the clustered turbines. We then configure farms based on clusters, rather than individual turbines. The simulations confirm that vertical-axis wind turbines have a positive influence on each other when packed in well-designed clusters: such configurations increase the power generation of a single turbine by about 10 percent. In addition, the cluster designs allow for closer turbine spacing resulting in about three times the number of turbines for a given land area compared to conventional configurations. Therefore, both the turbine and wind-farm efficiencies are improved, leading to a significant increase in the density of power production per unit land area.
Renewable Energy | 2017
Gerard Cortina; Varun Sharma; Marc Calaf
Physical Review Fluids | 2016
Gerard Cortina; Marc Calaf; Raul Bayoan Cal
Physical Review Fluids | 2017
Gerard Cortina; Varun Sharma; Marc Calaf
Renewable Energy | 2017
Gerard Cortina; Marc Calaf
Renewable Energy | 2018
Varun Sharma; Gerard Cortina; Fabien Margairaz; Marc B. Parlange; Marc Calaf
Renewable Energy | 2017
Gerard Cortina; Varun Sharma; Marc Calaf
Bulletin of the American Physical Society | 2016
Naseem Ali; Gerard Cortina; Nicholas Hamilton; Marc Calaf; Raul Bayoan Cal
Bulletin of the American Physical Society | 2016
Raul Bayoan Cal; Naseem Ali; Nicholas Hamilton; Gerard Cortina; Marc Calaf