def __init__(self, input_keys, optional_inputs, additional_models=[]):
WindTurbineFunction.__init__(self,
input_keys,
optional_inputs,
output_keys=['power', 'ct'])
for i, m in enumerate(additional_models):
check_model(m, AdditionalModel, f"Additional model, element {i}")
self.add_inputs(m.required_inputs, m.optional_inputs)
self.model_lst = additional_models
def __init__(self,
site,
windTurbines: WindTurbines,
wake_deficitModel,
rotorAvgModel,
superpositionModel,
blockage_deficitModel=None,
deflectionModel=None,
turbulenceModel=None,
groundModel=None):
WindFarmModel.__init__(self, site, windTurbines)
check_model(wake_deficitModel, WakeDeficitModel, 'wake_deficitModel')
check_model(rotorAvgModel, RotorAvgModel, 'rotorAvgModel')
check_model(superpositionModel, SuperpositionModel,
'superpositionModel')
check_model(blockage_deficitModel, BlockageDeficitModel,
'blockage_deficitModel')
check_model(deflectionModel, DeflectionModel, 'deflectionModel')
check_model(turbulenceModel, TurbulenceModel, 'turbulenceModel')
if groundModel is None:
groundModel = NoGround()
check_model(groundModel, GroundModel, 'groundModel')
if isinstance(superpositionModel, WeightedSum):
assert isinstance(wake_deficitModel, ConvectionDeficitModel)
assert rotorAvgModel.__class__ is RotorCenter, "Multiple rotor average points not implemented for WeightedSum"
assert 'TI_eff_ilk' not in wake_deficitModel.args4deficit or turbulenceModel # TI_eff requires a turbulence model
self.wake_deficitModel = wake_deficitModel
self.rotorAvgModel = rotorAvgModel
self.superpositionModel = superpositionModel
self.blockage_deficitModel = blockage_deficitModel
self.deflectionModel = deflectionModel
self.turbulenceModel = turbulenceModel
self.groundModel = groundModel
self.wec = 1 # wake expansion continuation (wake-width scale factor) see
# Thomas, J. J. and Ning, A., “A Method for Reducing Multi-Modality in the Wind Farm Layout Optimization Problem,”
# Journal of Physics: Conference Series, Vol. 1037, The Science of Making
# Torque from Wind, Milano, Italy, jun 2018, p. 10.
self.deficit_initalized = False
self.args4deficit = self.wake_deficitModel.args4deficit
self.args4deficit = set(self.args4deficit) | {'yaw_ilk'} | set(
self.rotorAvgModel.args4rotor_avg_deficit)
if self.blockage_deficitModel:
self.args4deficit = set(self.args4deficit) | set(
self.blockage_deficitModel.args4deficit)
if self.groundModel:
self.args4deficit = set(self.args4deficit) | set(
self.groundModel.args4deficit)
self.args4all = set(self.args4deficit)
if self.turbulenceModel:
if self.turbulenceModel.rotorAvgModel is None:
self.turbulenceModel.rotorAvgModel = rotorAvgModel
self.args4addturb = set(self.turbulenceModel.args4addturb) | set(
self.turbulenceModel.rotorAvgModel.args4rotor_avg_deficit)
self.args4all = self.args4all | set(
self.turbulenceModel.args4addturb)
if self.deflectionModel:
self.args4all = self.args4all | set(
self.deflectionModel.args4deflection)
def __init__(self, site, windTurbines):
check_model(site, Site, 'site')
check_model(windTurbines, WindTurbines, 'windTurbines')
self.site = site
self.windTurbines = windTurbines
def test_check_model_wrong_model(model, cls, arg_name, msg):
with pytest.raises(ValueError, match=msg):
check_model(model, cls, arg_name)
def test_check_model():
check_model(LinearSum(), SuperpositionModel)