def setUp(self):
"""
This setUp() method executes before each test. It creates an
instance attribute, self.instance, that refers to a ManagementCost
instance under test. input_dict is the dictionary of inputs values
that configures that instance.
This is just a default dictionary. Methods that test behavior of
specific variables customize the relevant key/value pairs.
The key site_facility_building_area_df is set to None here. The
dataframe is read from the csv in the site_facility tests below.
"""
# TODO: Refactor the parts of the filenames to the top of the file. Do not hardcode.
site_facility_building_area_csv = os.path.join(
landbosse_test_input_dir(), 'site_facility_building_area.csv')
site_facility_building_area_df = pd.read_csv(
site_facility_building_area_csv)
self.input_dict = dict()
self.input_dict['project_value_usd'] = 1e8
self.input_dict['foundation_cost_usd'] = 1e5
self.input_dict['construction_time_months'] = 12
self.input_dict['num_hwy_permits'] = 10
self.input_dict['num_turbines'] = 10
self.input_dict['project_size_megawatts'] = 30
self.input_dict['hub_height_meters'] = 80
self.input_dict['num_access_roads'] = 2
self.input_dict['markup_contingency'] = 0.1
self.input_dict['markup_warranty_management'] = 0.1
self.input_dict['markup_sales_and_use_tax'] = 0.1
self.input_dict['markup_overhead'] = 0.1
self.input_dict['markup_profit_margin'] = 0.1
self.input_dict[
'site_facility_building_area_df'] = site_facility_building_area_df
self.input_dict['construct_duration'] = 9 #months
self.project_name = 'project_1'
self.output_dict = dict()
self.management_cost = ManagementCost(input_dict=self.input_dict,
output_dict=self.output_dict,
project_name=PROJECT_NAME)
def setUp(self):
self.input_dict = dict()
self.project_name = 'Project_1'
self.input_dict[
'road_distributed_wind'] = True #TODO add this to input file.
#Inputs for calculate_road_properties():
# self.input_dict['road_length'] = 108000 #TODO: Also add option to make road_length a user specified input.
self.input_dict['road_width_ft'] = 10 # feet 10
self.input_dict['road_thickness'] = 2 # inches
self.input_dict[
'crane_width'] = 4.548 # metres 10.7 + shoulder width 1.5 m
self.input_dict['num_access_roads'] = 5
self.input_dict['num_turbines'] = 1
self.input_dict['rsmeans'] = pd.read_csv(
os.path.join(landbosse_test_input_dir(),
'rsmeans_proprietary.csv'))
crew_data = os.path.join(landbosse_test_input_dir(), 'crews.csv')
self.input_dict['crew'] = pd.read_csv(crew_data)
crew_cost_data = os.path.join(landbosse_test_input_dir(),
'crew_price_proprietary.csv')
self.input_dict['crew_cost'] = pd.read_csv(crew_cost_data)
self.input_dict['duration_construction'] = 0.1 # months
self.input_dict['construct_duration'] = 0.1 # months
self.input_dict['fraction_new_roads'] = 1
self.input_dict['road_quality'] = 0.6
self.input_dict['rsmeans_per_diem'] = 144
self.input_dict['road_length_adder_m'] = 5000 # 5km
self.input_dict['fraction_new_roads'] = 0.33
self.input_dict['road_quality'] = 0.3
self.input_dict['rsmeans_per_diem'] = 0
# Weather window:
self.input_dict['num_delays'] = 7
self.input_dict['avg_hours_per_delay'] = 20
self.input_dict['std_dev_hours_per_delay'] = 5
self.input_dict['delay_speed_m_per_s'] = 9
self.input_dict['seed'] = 101
self.input_dict['weather_window'] = generate_a_year(
num_delays=self.input_dict['num_delays'],
avg_hours_per_delay=self.input_dict['avg_hours_per_delay'],
std_dev_hours_per_delay=self.input_dict['std_dev_hours_per_delay'],
delay_speed_m_per_s=self.input_dict['delay_speed_m_per_s'],
seed=self.input_dict['seed'])
self.input_dict['start_delay_hours'] = 100
self.input_dict['mission_time_hours'] = 50
self.input_dict['critical_wind_speed_m_per_s'] = 8.0
self.input_dict['wind_height_of_interest_m'] = 10
self.input_dict['wind_shear_exponent'] = 0.25
self.input_dict['season_construct'] = ['spring', 'summer']
self.input_dict['time_construct'] = 'normal'
self.input_dict['hour_day'] = {'long': 24, 'normal': 10}
self.input_dict['operational_hrs_per_day'] = 10
self.input_dict['critical_speed_non_erection_wind_delays_m_per_s'] = 15
self.input_dict['critical_height_non_erection_wind_delays_m'] = 10
#Inputs for calculate_costs():
material_price_csv = os.path.join(landbosse_test_input_dir(),
'material_price_proprietary.csv')
self.input_dict['material_price'] = pd.read_csv(material_price_csv)
self.input_dict['turbine_rating_MW'] = 0.02 # 20 kW Turbine
self.input_dict[
'overtime_multiplier'] = 1.4 # multiplier for labor overtime rates due to working 60 hr/wk rather than 40 hr/wk
self.input_dict['rotor_diameter_m'] = 7
self.input_dict['turbine_spacing_rotor_diameters'] = 5
self.input_dict['critical_height_non_erection_wind_delays_m'] = 10
self.input_dict['site_prep_area_m2'] = 0
self.output_dict = dict()
def setUp(self):
self.input_dict = dict()
self.output_dict = dict()
self.cable_input_dict = dict()
self.addl_specs = dict()
rsmeans_csv = os.path.join(landbosse_test_input_dir(),
'rsmeans_proprietary.csv')
self.input_dict['rsmeans'] = pd.read_csv(rsmeans_csv)
crew_cost_csv = os.path.join(landbosse_test_input_dir(),
'crew_price_proprietary.csv')
self.input_dict['crew_cost'] = pd.read_csv(crew_cost_csv)
crews_csv = os.path.join(landbosse_test_input_dir(), 'crews.csv')
self.input_dict['crew'] = pd.read_csv(crews_csv)
self.input_dict['construct_duration'] = 9 # months
self.input_dict['time_construct'] = 'normal'
self.input_dict['hour_day'] = {'long': 24, 'normal': 10}
#============================================================
#All below inputs are inputs for ArraySystem class:
self.input_dict['cable_specs'] = dict()
cable_specs_path = os.path.join(landbosse_test_input_dir(),
'cable_specs.csv')
self.input_dict['cable_specs_pd'] = pd.read_csv(
cable_specs_path) #Read in cable specs into a dataframe.
# self.input_dict['cable_specs'] = self.input_dict['cable_specs_pd'].T.to_dict()
self.input_dict[
'user_defined_distance_to_grid_connection'] = 0 # 0 = No ; 1 = Yes
self.input_dict['distance_to_grid_connection_km'] = 2
self.project_name = 'project_1'
#Inputs for ArraySystem:
self.input_dict['num_turbines'] = 1
self.input_dict['plant_capacity_MW'] = 15
self.input_dict['row_spacing_rotor_diameters'] = 5
self.input_dict['turbine_rating_MW'] = 0.02
self.input_dict['upstream_turb'] = 0
self.input_dict['turb_sequence'] = 1
self.input_dict['depth'] = 45
self.input_dict['rsmeans_per_diem'] = 144
self.input_dict['turbine_spacing_rotor_diameters'] = 5
self.input_dict['rotor_diameter_m'] = 154
self.input_dict['line_frequency_hz'] = 60
self.input_dict[
'overtime_multiplier'] = 1.4 # multiplier for labor overtime rates due to working 60 hr/wk rather than 40 hr/wk
# Weather window:
self.input_dict['num_delays'] = 7
self.input_dict['avg_hours_per_delay'] = 20
self.input_dict['std_dev_hours_per_delay'] = 5
self.input_dict['delay_speed_m_per_s'] = 9
self.input_dict['seed'] = 101
self.input_dict['weather_window'] = generate_a_year(
num_delays=self.input_dict['num_delays'],
avg_hours_per_delay=self.input_dict['avg_hours_per_delay'],
std_dev_hours_per_delay=self.input_dict['std_dev_hours_per_delay'],
delay_speed_m_per_s=self.input_dict['delay_speed_m_per_s'],
seed=self.input_dict['seed'])
self.input_dict['start_delay_hours'] = 100
self.input_dict['mission_time_hours'] = 50
self.input_dict['critical_wind_speed_m_per_s'] = 8.0
self.input_dict['wind_height_of_interest_m'] = 100
self.input_dict['wind_shear_exponent'] = 0.25
self.input_dict['season_construct'] = ['spring', 'summer']
self.input_dict['time_construct'] = 'normal'
self.input_dict['operational_hrs_per_day'] = 10
self.input_dict['duration_construction'] = 9 # months
self.input_dict['operational_hrs_per_day'] = 10
self.input_dict['critical_speed_non_erection_wind_delays_m_per_s'] = 15
self.input_dict['critical_height_non_erection_wind_delays_m'] = 10
self.input_dict['rsmeans_per_diem'] = 99
#============================================================
# Test inputs for Cable class: (Taken from cable specs dict)
self.cable_input_dict[
'Current Capacity (A)'] = 610 # Amps (at 1 m burial depth)
self.cable_input_dict['Rated Voltage (V)'] = 33 # kV, line-to-line
self.cable_input_dict[
'AC Resistance (Ohms/km)'] = 0.062 # Ohms/km (at 90 deg C at 60 Hz)
self.cable_input_dict['Inductance (mH/km)'] = 0.381 # mH/km
self.cable_input_dict['Capacitance (nF/km)'] = 224 # nF/km
self.cable_input_dict['Cost (USD/LF)'] = 250000 # $US/km
# Additional inputs for Array(Cable) class
self.addl_specs['turbine_rating_MW'] = 7
self.addl_specs['upstream_turb'] = 0
self.addl_specs['turb_sequence'] = 0
self.addl_specs['turbine_spacing_rotor_diameters'] = 5
self.addl_specs['rotor_diameter_m'] = 154
self.addl_specs['line_frequency_hz'] = 60
def setUp(self):
print(
'<><>><><><><><><><><> Begin load of ErectionCost test data <><>><><><><><><><><>'
)
self.erection_cost_input_dict = None
project = pd.Series({
'Turbine rating MW':
1.5,
'Hub height m':
80,
'Rotor diameter m':
77,
'Number of breakdowns per 100 MW':
4,
'Number of sections per tower':
3,
'Number of RNA picks (at hub height)':
4,
'Number of turbines':
100,
'Breakpoint between base and topping (percent)':
0.75,
'Fuel cost USD per gal':
1,
'Rate of deliveries (turbines per week)':
10,
'Wind shear exponent':
0.2,
'Tower type':
'steel',
'Foundation depth m':
3,
'Rated Thrust (N)':
100,
'Bearing Pressure (n/m2)':
100,
'Critical Velocity (m/s)':
20,
'Line Frequency (Hz)':
60,
'Project ID':
'foo',
'Turbine spacing (times rotor diameter)':
5,
'Row spacing (times rotor diameter)':
5,
'Number of turbines per day':
2,
'Flag for user-defined home run trench length (0 = no; 1 = yes)':
1,
'Combined Homerun Trench Length to Substation (km)':
67,
'Total project construction time (months)':
9,
'50-year Gust Velocity (m/s)':
60,
'Road length adder (m)':
5000,
'Percent of roads that will be constructed':
0.33,
'Road Quality (0-1)':
0.6,
'Line Frequency (Hz)':
60,
'Row spacing (times rotor diameter)':
10,
'Flag for user-defined home run trench length (0 = no; 1 = yes)':
0,
'Combined Homerun Trench Length to Substation (km)':
50,
'Distance to interconnect (miles)':
50,
'Interconnect Voltage (kV)':
137,
'New Switchyard (y/n)':
'y',
'Non-Erection Wind Delay Critical Speed (m/s)':
15,
'Non-Erection Wind Delay Critical Height (m)':
10,
'Road width (ft)':
20,
'Road thickness (in)':
8,
'Crane width (m)':
12.2,
'Number of highway permits':
10,
'Number of access roads':
2,
'Overtime multiplier':
1.4,
'Allow same flag':
'n',
'Markup contingency':
0.03,
'Markup warranty management':
0.0002,
'Markup sales and use tax':
0,
'Markup overhead':
0.05,
'Markup profit margin':
0.05
})
xlsx_reader = XlsxReader()
input_xlsx = os.path.join(landbosse_test_input_dir(),
'erection_cost_tests.xlsx')
self.master_input_dict = xlsx_reader.create_master_input_dictionary(
input_xlsx=input_xlsx, project_parameters=project)
print(
'<><>><><><><><><><><> End load of ErectionCost test data <><>><><><><><><><><>'
)
def setUp(self):
"""
This setUp() method executes before each test. It creates an
instance attribute, self.instance, that refers to a FoundationCost
instance under test. input_dict is the dictionary of inputs values
that configures that instance.
This is just a default dictionary. Methods that test behavior of
specific variables customize the relevant key/value pairs.
The key site_facility_building_area_df is set to None here. The
dataframe is read from the csv in the site_facility tests below.
"""
self.input_dict = dict()
self.input_dict['depth'] = 3.05 # in m
self.project_name = 'project_1'
self.input_dict['rated_thrust_N'] = 742e3
self.input_dict['bearing_pressure_n_m2'] = 244200
self.input_dict['critical_velocity_m_per_s'] = 52.5
self.input_dict['gust_velocity_m_per_s'] = 60
#Below are the inputs for calculate_foundation_load():
component_data = os.path.join(landbosse_test_input_dir(),
'components.csv')
self.input_dict['component_data'] = pd.read_csv(component_data)
crew_data = os.path.join(landbosse_test_input_dir(), 'crews.csv')
self.input_dict['crew'] = pd.read_csv(crew_data)
crew_cost_data = os.path.join(landbosse_test_input_dir(),
'crew_price_proprietary.csv')
self.input_dict['crew_cost'] = pd.read_csv(crew_cost_data)
for component in self.input_dict['component_data'].keys():
self.input_dict[component] = np.array(
self.input_dict['component_data'][component])
# Below are the inputs for determine_foundation_size():
#'Radius_m' -> Calculated in 'calculate_foundation_load()'
#'depth'
#Below are the inputs for 'estimate_material_needs()':
self.input_dict['num_turbines'] = 100
#foundation_volume_m3_per_turbine -> calculated in 'determine_foundation_size()':
#Below are the inputs for 'estimate_construction_time()':
self.input_dict['duration_construction'] = 9 #months
self.input_dict['construct_duration'] = 9 #months
self.input_dict['hour_day'] = {'long': 24, 'normal': 10}
#Weather window:
self.input_dict['num_delays'] = 7
self.input_dict['avg_hours_per_delay'] = 20
self.input_dict['std_dev_hours_per_delay'] = 5
self.input_dict['delay_speed_m_per_s'] = 9
self.input_dict['seed'] = 101
self.input_dict['weather_window'] = generate_a_year(
num_delays=self.input_dict['num_delays'],
avg_hours_per_delay=self.input_dict['avg_hours_per_delay'],
std_dev_hours_per_delay=self.input_dict['std_dev_hours_per_delay'],
delay_speed_m_per_s=self.input_dict['delay_speed_m_per_s'],
seed=self.input_dict['seed'])
self.input_dict['start_delay_hours'] = 100
self.input_dict['mission_time_hours'] = 50
self.input_dict['critical_wind_speed_m_per_s'] = 8.0
self.input_dict['wind_height_of_interest_m'] = 100
self.input_dict['wind_shear_exponent'] = 0.25
self.input_dict['season_construct'] = ['spring', 'summer']
self.input_dict['time_construct'] = 'normal'
self.input_dict['operational_hrs_per_day'] = 10
self.input_dict['critical_speed_non_erection_wind_delays_m_per_s'] = 10
self.input_dict['critical_height_non_erection_wind_delays_m'] = 10
#Calculate Costs:
material_price = os.path.join(landbosse_test_input_dir(),
'material_price_proprietary.csv')
self.input_dict['material_price'] = pd.read_csv(material_price)
rsmeans_csv = os.path.join(landbosse_test_input_dir(),
'rsmeans_proprietary.csv')
self.input_dict['rsmeans'] = pd.read_csv(rsmeans_csv)
self.input_dict['rsmeans_per_diem'] = 144
self.input_dict['overtime_multiplier'] = 1.4
self.output_dict = dict()
self.foundation_cost = FoundationCost(input_dict=self.input_dict,
output_dict=self.output_dict,
project_name=self.project_name)