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): 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): """ 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)