WindFarmModel<\/strong><\/li><\/ul>\n\n\n\nThis model defines the procedure of how the wake and the blockage deficits propagate in the wind farm.<\/em> Two wind farm models are available for inclusion, i.e., PropagateDownwind and All2Alllternative.<\/p>\n\n\n\n- Wake DeficitModel<\/strong><\/li><\/ul>\n\n\n\n
This is used to calculate the wake deficit from one wind turbine to downstream wind turbines in the wind farm. Several models are available, such as NOJDeficit, TurboNOJDeficit, FugaDeficit, e.t.c.<\/p>\n\n\n\n
- SuperpositionModel<\/strong><\/li><\/ul>\n\n\n\n
This model is used, to sum up the deficit from different sources. Available superposition models are LinearSum, SquaredSum, MaxSum.<\/p>\n\n\n\n
- RotorAvgModel<\/strong><\/li><\/ul>\n\n\n\n
This model is used to calculate the average rotor deficit from RotorCenter, GridRotorAvg, EqGridRotorAvg e.t.c<\/p>\n\n\n\n
- DeflectionModel<\/strong><\/li><\/ul>\n\n\n\n
This model calculates deflected downwind and crosswind distance due to yaw misalignment, shear, e.t.c. JimenezWakeDeflection, FugaDeflection, GCLHillDeflection are available deflection models.<\/p>\n\n\n\n
- TurbulenceModel<\/strong><\/li><\/ul>\n\n\n\n
This model is used to calculate added turbulence in the wake.<\/p>\n\n\n\n
- GroundModel<\/strong><\/li><\/ul>\n\n\n\n
This models the effects of ground while calculating AEP.<\/p>\n\n\n\n
Now, let’s see how we can create a model and combine it with other models. <\/p>\n\n\n
\nfrom py_wake import NOJ, Fuga, FugaBlockage, BastankhahGaussian, IEA37SimpleBastankhahGaussian\n\n# Path to Fuga look-up tables\nlut_path = os.path.dirname(py_wake.__file__)+'\/tests\/test_files\/fuga\/2MW\/Z0=0.03000000Zi=00401Zeta0=0.00E+00\/'\n\nmodels = {'NOJ': NOJ(site,windTurbines),\n 'FugaBlockage': FugaBlockage(lut_path,site,windTurbines),\n 'Fuga': Fuga(lut_path,site,windTurbines),\n 'IEA37BGaus': IEA37SimpleBastankhahGaussian(site,windTurbines)\n 'BGaus': BastankhahGaussian(site,windTurbines),\n }\n<\/pre><\/div>\n\n\nWe are combining the above model with NOJ using LinearSum Superposition.<\/p>\n\n\n