def configure(self):
super(Assembly, self).configure()
# Let's analyze the lifetime cost of energy cost scaling model!
self.add('lcoe_csm', lcoe_csm_assembly())
# ..using the cutting edge pydakdriver
dakDriver = pydakdriver()
dakDriver.UQ(seed=3232)
driver = self.add('driver',dakDriver)
driver.workflow.add('lcoe_csm')
driver.stdout = 'dakota.out'
driver.stderr = 'dakota.err'
driver.add_parameter('lcoe_csm.weibull_k',low=2.6*0.5, high=2.6*1.5)
driver.add_parameter('lcoe_csm.shear_exponent',low=.1*0.5, high=.1*1.5)
# use same objectives as previous sensitivity analysis
driver.add_objective('lcoe_csm.coe')
driver.add_objective('lcoe_csm.lcoe')
driver.add_objective('lcoe_csm.net_aep')
driver.add_objective('lcoe_csm.bos_costs')
driver.add_objective('lcoe_csm.avg_annual_opex')
driver.add_objective('lcoe_csm.turbine_cost')
driver.add_objective('lcoe_csm.turbine_mass')
driver.add_objective('lcoe_csm.rated_rotor_speed')
#A simple test of WISDEM using the NREL CSM
# collected some code and added input output descriptions and layout output result to show to internal discuss
from wisdem.lcoe.lcoe_csm_assembly import lcoe_csm_assembly
lcoe = lcoe_csm_assembly()
# NREL 5 MW turbine specifications and plant attributes
lcoe.machine_rating = 5000.0 # Float(units = 'kW', iotype='in', desc= 'rated machine power in kW')
lcoe.rotor_diameter = 126.0 # Float(units = 'm', iotype='in', desc= 'rotor diameter of the machine')
lcoe.max_tip_speed = 80.0 # Float(units = 'm/s', iotype='in', desc= 'maximum allowable tip speed for the rotor')
lcoe.hub_height = 90.0 # Float(units = 'm', iotype='in', desc='hub height of wind turbine above ground / sea level')
lcoe.sea_depth = 20.0 # Float(units = 'm', iotype='in', desc = 'sea depth for offshore wind project')
# Parameters
lcoe.drivetrain_design = 'pm_direct_drive' # Enum('geared', ('geared', 'single_stage', 'multi_drive', 'pm_direct_drive'), iotype='in')
lcoe.altitude = 0.0 # Float(0.0, units = 'm', iotype='in', desc= 'altitude of wind plant')
lcoe.turbine_number = 100 # Int(100, iotype='in', desc = 'total number of wind turbines at the plant')
lcoe.year = 2009 # Int(2009, iotype='in', desc = 'year of project start')
lcoe.month = 12 # Int(12, iotype='in', desc = 'month of project start')
# Extra AEP inputs
lcoe.max_power_coefficient = 0.488 #Float(0.488, iotype='in', desc= 'maximum power coefficient of rotor for operation in region 2')
lcoe.opt_tsr = 7.525 #Float(7.525, iotype='in', desc= 'optimum tip speed ratio for operation in region 2')
lcoe.cut_in_wind_speed = 3.0 #Float(3.0, units = 'm/s', iotype='in', desc= 'cut in wind speed for the wind turbine')
lcoe.cut_out_wind_speed = 25.0 #Float(25.0, units = 'm/s', iotype='in', desc= 'cut out wind speed for the wind turbine')
lcoe.hub_height = 90.0 #Float(90.0, units = 'm', iotype='in', desc= 'hub height of wind turbine above ground / sea level')
lcoe.altitude = 0.0 #Float(0.0, units = 'm', iotype='in', desc= 'altitude of wind plant')
#lcoe.air_density = Float(0.0, units = 'kg / (m * m * m)', iotype='in', desc= 'air density at wind plant site') # default air density value is 0.0 - forces aero csm to calculate air density in model
lcoe.drivetrain_design = 'geared' #Enum('geared', ('geared', 'single_stage', 'multi_drive', 'pm_direct_drive'), iotype='in')
# A simple test of WISDEM using the NREL CSM
from wisdem.lcoe.lcoe_csm_assembly import lcoe_csm_assembly
lcoe = lcoe_csm_assembly()
# NREL 5 MW turbine specifications and plant attributes
lcoe.machine_rating = 5000.0 # Float(units = 'kW', iotype='in', desc= 'rated machine power in kW')
lcoe.rotor_diameter = 126.0 # Float(units = 'm', iotype='in', desc= 'rotor diameter of the machine')
lcoe.max_tip_speed = 80.0 # Float(units = 'm/s', iotype='in', desc= 'maximum allowable tip speed for the rotor')
lcoe.hub_height = 90.0 # Float(units = 'm', iotype='in', desc='hub height of wind turbine above ground / sea level')
lcoe.sea_depth = 20.0 # Float(units = 'm', iotype='in', desc = 'sea depth for offshore wind project')
# Parameters
lcoe.drivetrain_design = 'geared' # Enum('geared', ('geared', 'single_stage', 'multi_drive', 'pm_direct_drive'), iotype='in')
lcoe.altitude = 0.0 # Float(0.0, units = 'm', iotype='in', desc= 'altitude of wind plant')
lcoe.turbine_number = 100 # Int(100, iotype='in', desc = 'total number of wind turbines at the plant')
lcoe.year = 2009 # Int(2009, iotype='in', desc = 'year of project start')
lcoe.month = 12 # Int(12, iotype='in', desc = 'month of project start')
# Extra AEP inputs
lcoe.max_power_coefficient = 0.488 #Float(0.488, iotype='in', desc= 'maximum power coefficient of rotor for operation in region 2')
lcoe.opt_tsr = 7.525 #Float(7.525, iotype='in', desc= 'optimum tip speed ratio for operation in region 2')
lcoe.cut_in_wind_speed = 3.0 #Float(3.0, units = 'm/s', iotype='in', desc= 'cut in wind speed for the wind turbine')
lcoe.cut_out_wind_speed = 25.0 #Float(25.0, units = 'm/s', iotype='in', desc= 'cut out wind speed for the wind turbine')
lcoe.hub_height = 90.0 #Float(90.0, units = 'm', iotype='in', desc= 'hub height of wind turbine above ground / sea level')
lcoe.altitude = 0.0 #Float(0.0, units = 'm', iotype='in', desc= 'altitude of wind plant')
#lcoe.air_density = Float(0.0, units = 'kg / (m * m * m)', iotype='in', desc= 'air density at wind plant site') # default air density value is 0.0 - forces aero csm to calculate air density in model
lcoe.drivetrain_design = 'geared' #Enum('geared', ('geared', 'single_stage', 'multi_drive', 'pm_direct_drive'), iotype='in')
lcoe.shear_exponent = 0.1 #Float(0.1, iotype='in', desc= 'shear exponent for wind plant') #TODO - could use wind model here
lcoe.wind_speed_50m = 8.02 #Float(8.35, units = 'm/s', iotype='in', desc='mean annual wind speed at 50 m height')
lcoe.weibull_k= 2.15 #Float(2.1, iotype='in', desc = 'weibull shape factor for annual wind speed distribution')
def configure():
""" Configuration page
"""
global cpnt
global desc
global analysis
import fusedwindGUI
global wt_inputs
global sensitivityResults
abspath = fusedwindGUI.__file__.strip('__init__.pyc')
class ConfigForm(Form):
pass
models = [{'name': 'Model Selection',
'choices': ['Tier 1 Full Plant Analysis: WISDEM CSM',
'Tier 2 Full Plant Analysis: WISDEM/DTU Plant']},
{'name': 'Analysis Type',
'choices': ['Individual Analysis',
'Sensitivity Analysis']},
{'name': 'Turbine Selection',
'choices': ['NREL 5MW RWT',
'DTU 10MW RWT']}]
for dic in models:
name = dic['name']
choices = [(val, val) for val in dic['choices']]
setattr(ConfigForm, name, SelectField(name, choices=choices))
if request.method == 'POST': # Receiving a POST request
inputs = request.form.to_dict()
winenv = ''
if platform.system() == 'Windows':
winenv = os.getenv("SystemDrive").replace(":", "")
if inputs[
'Model Selection'] == 'Tier 1 Full Plant Analysis: WISDEM CSM':
# 2015 09 28: move desc assignment AFTER import etc. so it
# doesn't get changed if import fails - GNS
try:
from wisdem.lcoe.lcoe_csm_assembly import lcoe_csm_assembly
cpnt = set_as_top(lcoe_csm_assembly())
cpnt.gui_recorder = {}
desc = "The NREL Cost and Scaling Model (CSM) is an empirical model for wind plant cost analysis based on the NREL cost and scaling model."
if inputs['Turbine Selection'] == 'NREL 5MW RWT':
# TODO: fix abspath
filename = winenv + \
os.path.join(abspath, 'wt_models', 'nrel5mw_tier1.inp')
elif inputs['Turbine Selection'] == 'DTU 10MW RWT':
filename = winenv + \
os.path.join(abspath, 'wt_models', 'dtu10mw_tier1.inp')
f = open(filename, 'r')
wt_inputs = to_unicode(yaml.load(f))
except Exception as e:
print 'lcoe_csm_assembly could not be loaded!:', str(e)
return render_template(
'error.html',
errmssg='{:} : lcoe_csm_assembly could not be loaded!'.format(
inputs['Model Selection']))
else:
try:
from wisdem.lcoe.lcoe_se_seam_assembly import create_example_se_assembly
lcoe_se = create_example_se_assembly(
'I', 0., True, False, False, False, False, '')
cpnt = lcoe_se
cpnt.gui_recorder = {}
desc = "The NREL WISDEM / DTU SEAM integrated model uses components across both model sets to size turbine components and perform cost of energy analysis."
if inputs['Turbine Selection'] == 'NREL 5MW RWT':
# TODO: fix abspath
filename = winenv + \
os.path.join(abspath, 'wt_models', 'nrel5mw_tier2.inp')
elif inputs['Turbine Selection'] == 'DTU 10MW RWT':
filename = os.path.join(
abspath, 'wt_models/dtu10mw_tier2.inp')
f = open(filename, 'r')
wt_inputs = to_unicode(yaml.load(f))
except:
print 'lcoe_se_seam_assembly could not be loaded!'
return render_template(
'configure.html',
messages='{:} : lcoe_se_seam_assembly could not be loaded!'.format(
inputs['Model Selection']),
config=ConfigForm(MultiDict()),
config_flag=False)
analysis = inputs['Analysis Type']
fused_webapp(True)
return render_template('configure.html',
config=ConfigForm(MultiDict()),
config_flag=True)
else:
return render_template('configure.html',
config=ConfigForm(MultiDict()),
config_flag=False)
