Available Outputs

ProjectManager is used to run a collection of ORBIT modules representing a complete offshore wind project installation. The outputs of each module are then aggregated into several different project-level outputs available via the ProjectManager API.

System and Installation CapEx

The two main outputs of ORBIT are the System CapEx (the total cost of procuring the configured subsystems) and the Installation CapEx (the total cost of installing the subsystems).

from ORBIT import ProjectManager
config = {
    ...
}

project = ProjectManager(config)
project.run()

project.system_capex
project.installation_capex

System CapEx is the sum of the unit costs (either user inputs or results from design phases) multiplied by the configured number of turbines, cable section lenghts or other appropriate unit. This output does not change based on the installation simulation.

Installation CapEx is a dynamic result based on the installation simulation and is based on the times associated with each subsystem installation, day rates of any vessels/ports and any accrued weather delays.

BOS CapEx

The balance-of-system CapEx (available as project.bos_capex) is the sum of the system and installation capex numbers and is one of the core outputs of the ORBIT module.

Soft CapEx

Soft CapEx (project.soft_capex) represents additional project level costs associated with commissioning, decommissioning and financing of the project. The cost factors can be input in the project_parameters subdict of an ORBIT configuration. The default cost factors for these categories are derived from the 2018 Cost of Wind Energy Review.

Project CapEx

Project CapEx (project.project_capex) includes the costs associated with the lease area, the development of the construction operations plan and any environmental review and other upfront project costs. There are default values for all of these subcategories, however the values can also be overridden in the project_parameters subdict.

Total CapEx

Total CapEx (project.total_capex) is the sum of the BOS, Soft and Project CapEx numbers. This represents complete project costs including all upfront costs, financing, procurement and installation of BOS subsystems and the procurement costs of the turbines.

Note

ORBIT doesn’t explicity model the procurement of turbines, however the Turbine CapEx is included within project.total_capex. To configure the cost of the turbines, turbine_capex can be passed into the project_parameters subdict of an ORBIT config. The default is $1300/kW.

Actions

A list of every step taken during the installation modules is available at project.actions. The best way to view, sort and save these results is as a pandas DataFrame. A few example use cases are presented below.

import pandas as pd
df = pd.DataFrame(project.actions)

# Sort by a specific phase
df.loc[df["phase"]=="MonopileInstallation"]

# Group by vessel and action to see where each vessel spent the most time
df.groupby(["vessel", "action"]).sum()["duration"]

# Save results to 'csv'
df.to_csv("filename.csv")

Detailed Outputs

More detailed results from individual phases are available at project.detailed_outputs.

Cash Flow and Net Present Value

ProjectManager also includes a basic cash flow and net present value model. The project must have the array system, export system and the substation installation modules configured for this model to be applicable. The model will find the point in the project logs where the substation and export system installations were completed and where each array system string was installed. When all three of these conditions are met, the project can begin to generate energy and produce revenue. The revenue generation is then superimposed on the monthly spend of the installation modules for the project.cash_flow.

The net present value of the project can then be calculated and is available at project.npv. The underlying financial assumptions for this model are also contained within the project_parameters subdict of the ORBIT configuration.