Skip to main content

ZEN-garden is an optimization model of energy systems and value chains.

Project description

ZEN-garden

Python Version from PEP 621 TOML

GitHub Release PyPI - Version

GitHub Actions Workflow Status Endpoint Badge Read the Docs

GitHub forks

drawing

Welcome to the ZEN-garden! ZEN-garden is an optimization model of energy systems and value chains. It is currently used to model the electricity system, hydrogen value chains, and carbon capture, storage and utilization (CCUS) value chains. However, it is designed to be modular and flexible, and can be extended to model other types of energy systems, value chains or other network-based systems.

ZEN-garden is developed by the Reliability and Risk Engineering Laboratory at ETH Zurich.


Quick Start

To get started with ZEN-garden, you can follow the instructions in the installation guide.

If you want to use ZEN-garden without working on the codebase, run the following command:

pip install zen-garden

If you want to work on the codebase, fork and clone the repository and install the package in editable mode. More information on how to install the package in editable mode can be found in the installation guide.

Documentation

Please refer to the documentation of the ZEN-garden framework on Read-the-Docs.

In the file documentation/how_to_ZEN-garden.md, you can find additional information on how to use the framework. The documentation/dataset_creation_tutorial.md file contains a tutorial on how to create a simple dataset for the framework. Additionally, example datasets are available in the dataset_examples folder.

More in-depth manuals are available in the discussions forum of our repo.

News

Review recent modifications outlined in the changelog.

Citing ZEN-garden

If you use ZEN-garden for research please cite

Ganter Alissa, Gabrielli Paolo, Sansavini, Giovanni (2024). Near-term infrastructure rollout and investment strategies for net-zero hydrogen supply chains 2024. https://doi.org/10.1016/j.rser.2024.114314

and use the following BibTeX:

@article{GANTER2024114314,
author = {Alissa Ganter and Paolo Gabrielli and Giovanni Sansavini}
title = {Near-term infrastructure rollout and investment strategies for net-zero hydrogen supply chains},
journal = {Renewable and Sustainable Energy Reviews},
volume = {194},
pages = {114314},
year = {2024},
issn = {1364-0321},
doi = {https://doi.org/10.1016/j.rser.2024.114314},
url = {https://www.sciencedirect.com/science/article/pii/S1364032124000376},
}

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

zen_garden-1.9.7.tar.gz (127.0 kB view details)

Uploaded Source

Built Distribution

zen_garden-1.9.7-py3-none-any.whl (143.7 kB view details)

Uploaded Python 3

File details

Details for the file zen_garden-1.9.7.tar.gz.

File metadata

  • Download URL: zen_garden-1.9.7.tar.gz
  • Upload date:
  • Size: 127.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.6

File hashes

Hashes for zen_garden-1.9.7.tar.gz
Algorithm Hash digest
SHA256 841bc2e9e793241e0149d85a077adb9eb868b9bba652908ebc8d774baf2fa123
MD5 44ca6590ee07795da02f1f9cd342cc06
BLAKE2b-256 118dfcccaa58985ffd347345d0945e7a2eecb60c9d4c91ec76685b17f2aad368

See more details on using hashes here.

File details

Details for the file zen_garden-1.9.7-py3-none-any.whl.

File metadata

  • Download URL: zen_garden-1.9.7-py3-none-any.whl
  • Upload date:
  • Size: 143.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.6

File hashes

Hashes for zen_garden-1.9.7-py3-none-any.whl
Algorithm Hash digest
SHA256 fb068202227f69748b91b51c311b0655a978791138650c0386858e01551e3979
MD5 5d286240f1ed1fb3c2407eff9f22a5a8
BLAKE2b-256 ce04face8a2879eab2a1e14e2e188e2b060436257dc087659f11d8ce135d7084

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page