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Offshore Wind to H2

Data & Code Repository for the EES Article - Sailing towards sustainability: offshore wind's green hydrogen potential for decarbonization in coastal USA.

Authors: Rishi Kaashyap Balaji and Fengqi You

DOI: 10.1039/D4EE01460J

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System Requirements

Operating System

This repository was developed and tested on Windows 11, ensuring full compatibility with this operating system.

Hardware Requirements

The models do not require any non-standard hardware and can be run on a typical desktop computer. The code has been tested on a system with the following specifications:

  • DELL OPTIPLEX 7040 Desktop
  • Intel(R) Core (TM) i7-6700 CPU @3.40 GHz
  • 32GB of RAM

Package Requirements

  • python 3.9.13
  • pandas 1.4.4
  • numpy 1.23.5
  • matplotlib 3.3.4
  • pyomo 6.5.4
  • Gurobi 10.0.1
  • OpenLCA 11.0

Installation Guide

The source code is not distributed as a package, therefore, no installation is required. It is highly recommended to use Anaconda to manage the Python environment to run the code. To get started, please follow these steps:

  1. Clone the repository: Clone the repository to a local directory using the following command:
git clone https://github.com/PEESEgroup/Offshore_Wind_to_H2.git
  1. Create a Conda environment: Navigate to the cloned directory and create a Conda environment with the required packages as specified in the Package Requirements section.
conda create --name <environment_name>
# Install the packages listed in Package Requirements
  1. Activate the Conda environment and run the code: With the Conda environment activated, you can now run the code as needed.
conda activate <environment_name>
# Run the code

Instructions for Use

To reproduce the results in our paper, please refer to the jupyter notebooks provided. Prior to executing these files, obtain a Gurobi licensce (Free Academic academic licenses are provided by Gurobi) and add the solver exectuable to the system path. Further, unzip the file - CF_Data.zip that is provided and place the unzipped directory in the working directory.

Citation

@article{balaji2024sailing,
  title={Sailing towards sustainability: offshore wind's green hydrogen potential for decarbonization in coastal USA},
  author={Balaji, Rishi Kaashyap and You, Fengqi},
  journal={Energy \& Environmental Science},
  year={2024},
  publisher={Royal Society of Chemistry}
  doi = {https://doi.org/10.1039/D4EE01460J}
}