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A package for the WIMBY job creation functions

Project description

wimby_jobcreation

Estimate wind farm job creation across all project stages using publicly available data and models.


Overview

The wimby_jobcreation package provides a model to estimate job creation throughout the lifetime of individual wind farms. It draws from scientific and grey literature to offer robust, stage-specific employment estimations.


Key Features

  • 🔹 Estimates direct, indirect, and induced job creation.
  • 🔹 Covers all life stages: development, construction, manufacturing, operation & maintenance, and decommissioning.
  • 🔹 Calculates employment factors in job-years per megawatt (job-years/MW) for individual wind farms.

Installation

Install the latest version from PyPI:

pip install wimby_jobcreation

Usage

import wimby_jobcreation as wjc

# Example usage
turbine_capacity = 3  # Capacity in MW
onshore_offshore = 'Onshore'  # Type of wind farm
statistics = wjc.calculate_job_creation_statistics(jobcreation_review_data.csv)  # Load model statistics
country = 'UK'  # Country context
number_of_turbines = 5  # Number of turbines

# Calculate employment factors
results = wjc.calculate_employment_factors_with_regression(
    turbine_capacity, 
    onshore_offshore, 
    statistics, 
    country, 
    number_of_turbines
)

print(results)

Documentation

Full documentation and additional examples are available on the GitHub repository.


License

This project is licensed under the MIT License – see the LICENSE file for details.


Authors

Andrei del Villar and Luis Ramirez Camargo
Based on the master thesis of Sam Klap

GitHub: @leramirezca
Contact: l.e.ramirezcamargo@uu.nl


Contributing

We welcome contributions! Please fork the repository and submit pull requests, or open an issue to report bugs and suggest features. We are also looking to grow the underlying data base: jobcreation_review_data.csv if you are interested to contribute please have a look of https://wimby.eu/resource/d2-9-data-on-regulatory-and-socio-economic-conditions-and-impacts-a/ to see how that data was gathered.


Related Projects

  • wimby_sf — An open source tool to estimate shadow flicker of individual turbines

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