def _initialize_cables(self):
"""
Creates the base cable objects for each type of array cable being used.
"""
if isinstance(self._design["cables"], str):
self._design["cables"] = [self._design["cables"]]
if isinstance(self._design["cables"], list):
_cables = {}
for name in self._design["cables"]:
_cables[name] = extract_library_specs("cables", name)
self._design["cables"] = _cables
_cables = {}
for name, cable in self._design["cables"].items():
cable.setdefault("name", name)
_cables[name] = cable
self._design["cables"] = _cables
# Cables are ordered from smallest to largest
cables = OrderedDict(
sorted(
self._design["cables"].items(),
key=lambda item: item[1]["current_capacity"],
))
# Instantiate cables as Cable objects. Use "name" property from file
# instead of filename.
self.cables = OrderedDict()
for specs in cables.values():
name = specs["name"]
self.cables[name] = Cable(specs)
def _initialize_custom_data(self):
windfarm = self.config["array_system_design"]["location_data"]
self.location_data = extract_library_specs("cables",
windfarm,
file_type="csv")
# Make sure no data is missing
missing = set(self.COLUMNS).difference(self.location_data.columns)
if missing:
raise ValueError(
f"The following columns must be included in the location data: {missing}"
)
self._format_windfarm_data()
# Ensure there is no missing data in required columns
missing_data_cols = [
c for c in self.REQUIRED
if pd.isnull(self.location_data[c]).sum() > 0
]
if missing_data_cols:
raise ValueError(f"Missing data in columns: {missing_data_cols}!")
# Ensure there is no missing data in optional columns
missing_data_cols = [
c for c in self.OPTIONAL
if (pd.isnull(self.location_data[c])
| self.location_data[c] == 0).sum() > 0
]
if missing_data_cols:
message = f"Missing data in columns {missing_data_cols}; " "all values will be calculated."
warnings.warn(message)
# Ensure the number of turbines matches what's expected
if self.location_data.shape[0] != self.system.num_turbines:
raise ValueError(
f"The provided number of turbines ({self.location_data.shape[0]}) ",
f"does not match the plant data ({self.system.num_turbines}).",
)
n_coords = self.location_data.groupby(
["turbine_latitude", "turbine_longitude"]).ngroups
duplicates = self.location_data.shape[0] - n_coords
if duplicates > 0:
raise ValueError(
f"There are {duplicates} rows with duplicate coordinates.")
# Ensure the number of turbines on a string is within the limits
longest_string = self.location_data["order"].unique().size
self.num_strings = self.location_data.groupby(
["substation_id", "string"]).ngroups
if longest_string > self.num_turbines_full_string:
raise ValueError("Strings can't contain more than "
f"{self.num_turbines_full_string} turbines.")
else:
self.num_turbines_full_string = longest_string
del self.num_turbines_partial_string
del self.num_partial_strings
__author__ = "Rob Hammond"
__copyright__ = "Copyright 2020, National Renewable Energy Laboratory"
__maintainer__ = "Jake Nunemaker"
__email__ = "*****@*****.**"
from copy import deepcopy
import pandas as pd
import pytest
from wisdem.orbit import ProjectManager
from wisdem.orbit.core.library import extract_library_specs
from wisdem.orbit.core.defaults import process_times as pt
from wisdem.orbit.phases.install import ScourProtectionInstallation
from wisdem.test.test_orbit.data import test_weather
config = extract_library_specs("config", "scour_protection_install")
def test_simulation_creation():
sim = ScourProtectionInstallation(config)
assert sim.config == config
assert sim.env
assert sim.port
assert sim.spi_vessel
assert sim.num_turbines
assert sim.tonnes_per_substructure
@pytest.mark.parametrize("weather", (None, test_weather),
ids=["no_weather", "test_weather"])
"""Tests for the `MooredSubInstallation` class and related infrastructure."""
__author__ = "Jake Nunemaker"
__copyright__ = "Copyright 2020, National Renewable Energy Laboratory"
__maintainer__ = "Jake Nunemaker"
__email__ = "*****@*****.**"
import pandas as pd
import pytest
from wisdem.orbit.core.library import extract_library_specs
from wisdem.orbit.phases.install import MooredSubInstallation
from wisdem.test.test_orbit.data import test_weather
config = extract_library_specs("config", "moored_install")
no_supply = extract_library_specs("config", "moored_install_no_supply")
def test_simulation_setup():
sim = MooredSubInstallation(config)
assert sim.config == config
assert sim.env
assert sim.support_vessel
assert len(sim.sub_assembly_lines) == config["port"]["sub_assembly_lines"]
assert len(sim.turbine_assembly_lines
) == config["port"]["turbine_assembly_cranes"]
assert len(sim.installation_groups
) == config["towing_vessel_groups"]["num_groups"]
assert sim.num_turbines == config["plant"]["num_turbines"]
def spi_vessel():
specs = extract_library_specs("spi_vessel", "test_scour_protection_vessel")
return Vessel("Test SPI Vessel", specs)
def heavy_lift():
specs = extract_library_specs("oss_install_vessel",
"test_heavy_lift_vessel")
return Vessel("Test Heavy Vessel", specs)
def cable_vessel():
specs = extract_library_specs("array_cable_install_vessel",
"test_cable_lay_vessel")
return Vessel("Test Cable Vessel", specs)
__author__ = "Jake Nunemaker"
__copyright__ = "Copyright 2019, National Renewable Energy Laboratory"
__maintainer__ = "Jake Nunemaker"
__email__ = "*****@*****.**"
from copy import deepcopy
import pandas as pd
import pytest
from wisdem.orbit import ProjectManager
from wisdem.orbit.core.library import extract_library_specs
from wisdem.orbit.core.defaults import process_times as pt
from wisdem.orbit.phases.install import TurbineInstallation
from wisdem.test.test_orbit.data import test_weather
config_wtiv = extract_library_specs("config", "turbine_install_wtiv")
config_long_mobilize = extract_library_specs("config",
"turbine_install_long_mobilize")
config_wtiv_feeder = extract_library_specs("config", "turbine_install_feeder")
config_wtiv_multi_feeder = deepcopy(config_wtiv_feeder)
config_wtiv_multi_feeder["num_feeders"] = 2
floating = extract_library_specs("config", "floating_turbine_install_feeder")
@pytest.mark.parametrize(
"config",
(config_wtiv, config_wtiv_feeder, config_wtiv_multi_feeder, floating),
ids=["wtiv_only", "single_feeder", "multi_feeder", "floating"],
)
def test_simulation_setup(config):
__author__ = "Jake Nunemaker"
__copyright__ = "Copyright 2020, National Renewable Energy Laboratory"
__maintainer__ = "Jake Nunemaker"
__email__ = "*****@*****.**"
from copy import deepcopy
import pandas as pd
import pytest
from wisdem.orbit import ProjectManager
from wisdem.orbit.core.library import extract_library_specs
from wisdem.orbit.core.defaults import process_times as pt
from wisdem.orbit.phases.install import MooringSystemInstallation
from wisdem.test.test_orbit.data import test_weather
config = extract_library_specs("config", "mooring_system_install")
def test_simulation_creation():
sim = MooringSystemInstallation(config)
assert sim.config == config
assert sim.env
assert sim.port
assert sim.vessel
assert sim.num_systems
@pytest.mark.parametrize("weather", (None, test_weather),
ids=["no_weather", "test_weather"])
def test_full_run_logging(weather):
__author__ = "Jake Nunemaker"
__copyright__ = "Copyright 2020, National Renewable Energy Laboratory"
__maintainer__ = "Jake Nunemaker"
__email__ = "*****@*****.**"
from copy import deepcopy
from wisdem.orbit import ProjectManager
from numpy.testing import assert_almost_equal
from wisdem.orbit.core.library import extract_library_specs
fixed = extract_library_specs("config", "complete_project")
floating = extract_library_specs("config", "complete_floating_project")
def test_fixed_phase_cost_passing():
project = ProjectManager(fixed)
project.run_project()
assert_almost_equal(
project.phases["MonopileDesign"].total_cost,
project.phases["MonopileInstallation"].system_capex,
)
assert_almost_equal(
project.phases["ScourProtectionDesign"].total_cost,
project.phases["ScourProtectionInstallation"].system_capex,
)
assert_almost_equal(
__author__ = ["Rob Hammond", "Jake Nunemaker"]
__copyright__ = "Copyright 2020, National Renewable Energy Laboratory"
__maintainer__ = "Jake Nunemaker"
__email__ = "*****@*****.**"
from copy import deepcopy
import pandas as pd
import pytest
from wisdem.orbit import ProjectManager
from wisdem.orbit.core.library import extract_library_specs
from wisdem.orbit.core.defaults import process_times as pt
from wisdem.orbit.phases.install import ExportCableInstallation
from wisdem.test.test_orbit.data import test_weather
base_config = extract_library_specs("config", "export_cable_install")
simul_config = deepcopy(base_config)
_ = simul_config.pop("export_cable_bury_vessel")
@pytest.mark.parametrize("config", (base_config, simul_config),
ids=["separate", "simultaneous"])
def test_simulation_setup(config):
sim = ExportCableInstallation(config)
assert sim.env
assert sim.cable
assert sim.cable.linear_density
actions = [a["action"] for a in sim.env.actions]
assert "Onshore Construction" in actions
__copyright__ = "Copyright 2020, National Renewable Energy Laboratory"
__maintainer__ = "Jake Nunemaker"
__email__ = "*****@*****.**"
from copy import deepcopy
import pandas as pd
import pytest
from wisdem.orbit import ProjectManager
from wisdem.orbit.core.library import extract_library_specs
from wisdem.orbit.core.defaults import process_times as pt
from wisdem.orbit.phases.install import OffshoreSubstationInstallation
from wisdem.test.test_orbit.data import test_weather
from wisdem.orbit.core.exceptions import MissingComponent
config_single = extract_library_specs("config", "oss_install")
config_floating = extract_library_specs("config", "floating_oss_install")
config_multi = extract_library_specs("config", "oss_install")
config_multi["num_feeders"] = 2
@pytest.mark.parametrize(
"config",
(config_single, config_multi, config_floating),
ids=["single_feeder", "multi_feeder", "floating"],
)
def test_simulation_setup(config):
sim = OffshoreSubstationInstallation(config)
assert sim.config == config
assert sim.env
__author__ = "Jake Nunemaker"
__copyright__ = "Copyright 2020, National Renewable Energy Laboratory"
__maintainer__ = "Jake Nunemaker"
__email__ = "*****@*****.**"
import os
import pytest
from wisdem.orbit import ProjectManager, load_config, save_config
from wisdem.orbit.core.library import extract_library_specs
complete_project = extract_library_specs("config", "complete_project")
def test_save_and_load_equality(tmp_yaml_del):
save_config(complete_project, "tmp.yaml", overwrite=True)
new = load_config("tmp.yaml")
assert new == complete_project
def test_orbit_version_ProjectManager():
config = ProjectManager.compile_input_dict(
["MonopileDesign", "MonopileInstallation"])
assert "orbit_version" in config.keys()
__author__ = "Rob Hammond"
__copyright__ = "Copyright 2020, National Renewable Energy Laboratory"
__maintainer__ = "Rob Hammond"
__email__ = "*****@*****.**"
from copy import deepcopy
import numpy as np
import pytest
from wisdem.orbit.core.library import extract_library_specs
from wisdem.orbit.phases.design import ArraySystemDesign, CustomArraySystemDesign
from wisdem.orbit.core.exceptions import LibraryItemNotFoundError
config_full_ring = extract_library_specs("config", "array_design_full_ring")
config_partial_ring = deepcopy(config_full_ring)
config_partial_ring["plant"]["num_turbines"] = 49
config_full_grid = deepcopy(config_full_ring)
config_full_grid["plant"]["layout"] = "grid"
config_partial_grid = deepcopy(config_full_grid)
config_partial_grid["plant"]["num_turbines"] = 49
config_cables_from_file_fail = deepcopy(config_full_grid)
config_cables_from_file_fail["array_system_design"]["cables"] = "Cable1"
config_custom_base = deepcopy(config_full_grid)
config_custom_base["plant"]["num_turbines"] = 8
"""Tests for the `ExportSystemDesign` class."""
__author__ = "Rob Hammond"
__copyright__ = "Copyright 2020, National Renewable Energy Laboratory"
__maintainer__ = "Rob Hammond"
__email__ = "*****@*****.**"
from copy import deepcopy
import pytest
from wisdem.orbit.core.library import extract_library_specs
from wisdem.orbit.phases.design import ExportSystemDesign
config = extract_library_specs("config", "export_design")
def test_export_system_creation():
export = ExportSystemDesign(config)
export.run()
assert export.num_cables
assert export.length
assert export.mass
assert export.cable
assert export.total_length
assert export.total_mass
def test_number_cables():
export = ExportSystemDesign(config)
export.run()
def wtiv():
specs = extract_library_specs("wtiv", "test_wtiv")
return Vessel("Test WTIV", specs)
__copyright__ = "Copyright 2020, National Renewable Energy Laboratory"
__maintainer__ = "Jake Nunemaker"
__email__ = "*****@*****.**"
from copy import deepcopy
import pandas as pd
import pytest
from wisdem.orbit import ProjectManager
from wisdem.orbit.core.library import extract_library_specs
from wisdem.orbit.core.defaults import process_times as pt
from wisdem.orbit.phases.install import ArrayCableInstallation
from wisdem.test.test_orbit.data import test_weather
base_config = extract_library_specs("config", "array_cable_install")
simul_config = deepcopy(base_config)
_ = simul_config.pop("array_cable_bury_vessel")
@pytest.mark.parametrize("config", (base_config, simul_config), ids=["separate", "simultaneous"])
def test_simulation_setup(config):
sim = ArrayCableInstallation(config)
assert sim.env
@pytest.mark.parametrize("config", (base_config, simul_config), ids=["separate", "simultaneous"])
def test_vessel_initialization(config):
sim = ArrayCableInstallation(config)
def feeder():
specs = extract_library_specs("feeder", "test_feeder")
return Vessel("Test Feeder", specs)
__maintainer__ = "Jake Nunemaker"
__email__ = "*****@*****.**"
from copy import deepcopy
import pandas as pd
import pytest
from wisdem.orbit import ProjectManager
from wisdem.orbit.manager import ProjectProgress
from wisdem.orbit.core.library import extract_library_specs
from wisdem.test.test_orbit.data import test_weather
from wisdem.orbit.core.exceptions import MissingInputs, PhaseNotFound, WeatherProfileError, PhaseDependenciesInvalid
weather_df = pd.DataFrame(test_weather).set_index("datetime")
config = extract_library_specs("config", "project_manager")
complete_project = extract_library_specs("config", "complete_project")
### Top Level
@pytest.mark.parametrize("weather", (None, weather_df))
def test_complete_run(weather):
project = ProjectManager(config, weather=weather)
project.run_project()
actions = pd.DataFrame(project.project_actions)
phases = ["MonopileInstallation", "TurbineInstallation"]
assert all(p in list(actions["phase"]) for p in phases)
__copyright__ = "Copyright 2020, National Renewable Energy Laboratory"
__maintainer__ = "Jake Nunemaker"
__email__ = "*****@*****.**"
from copy import deepcopy
import pandas as pd
import pytest
from wisdem.orbit import ProjectManager
from wisdem.orbit.core.library import extract_library_specs
from wisdem.orbit.core.defaults import process_times as pt
from wisdem.orbit.phases.install import MonopileInstallation
from wisdem.test.test_orbit.data import test_weather
config_wtiv = extract_library_specs("config", "single_wtiv_mono_install")
config_wtiv_feeder = extract_library_specs("config", "multi_wtiv_mono_install")
config_wtiv_multi_feeder = deepcopy(config_wtiv_feeder)
config_wtiv_multi_feeder["num_feeders"] = 2
@pytest.mark.parametrize(
"config",
(config_wtiv, config_wtiv_feeder, config_wtiv_multi_feeder),
ids=["wtiv_only", "single_feeder", "multi_feeder"],
)
def test_simulation_setup(config):
sim = MonopileInstallation(config)
assert sim.config == config
assert sim.env