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Advanced methodology for wind resource assessment near hydroelectric dams in complex mountainous areas
Yang, Lin; Rojas Gregorio, José Ignacio; Villardi de Montlaur, Adeline de
Universitat Politècnica de Catalunya. Departament de Física; Universitat Politècnica de Catalunya. GCM - Grup de Caracterització de Materials; Universitat Politècnica de Catalunya. LACÀN - Mètodes Numèrics en Ciències Aplicades i Enginyeria
To increase renewable energy generation in some hydroelectric dams, a solution consisting in installing wind turbines close to dams is proposed. Indeed, dam surroundings are prone to benefit from wind speed-up effect, extra wind generation associated with thermal winds, and existing electrical infrastructure. Identifying the most suitable locations for turbines, that is, areas of relatively high-speed and low-turbulence wind, is fundamental to maximize this complementary power. Easy accessibility to turbines and minimum distance to dam electrical infrastructure are also essential to reduce the costs. Thus, a methodology is proposed to improve wind resource assessment in complex mountainous areas. First, potentially interesting dams are chosen using statistical local wind data. Second, weighted results of wind speed and turbulence intensity, considering all wind directions are presented based on CFD simulations. Finally, wind power density and annual energy production maps are generated, along with accessibility maps, to identify suitable sites. The Camarasa dam in the north-east of the Iberian Peninsula is chosen as case study to show and test the proposed methodology. Error estimations are provided, along with validation against Wind Atlas data and WAsP simulations.
Peer Reviewed
-Àrees temàtiques de la UPC::Física
-Wind power
-Hydroelectric generators
-Computational fluid dynamics
-Wind energy
-Power density
-Wind turbine
-Hydroelectric dam
-CFD
-Dinàmica de fluids computacional
Article - Published version
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