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-1.10.1.tar.gz (127.6 kB view details)

Uploaded Source

Built Distribution

zen_garden-1.10.1-py3-none-any.whl (144.6 kB view details)

Uploaded Python 3

File details

Details for the file zen_garden-1.10.1.tar.gz.

File metadata

  • Download URL: zen_garden-1.10.1.tar.gz
  • Upload date:
  • Size: 127.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.6

File hashes

Hashes for zen_garden-1.10.1.tar.gz
Algorithm Hash digest
SHA256 059853ec2103359a735355019098cb51db774f201b90cb245dc15f6c6d1877a0
MD5 368eb6c3478883bf7119c339f58e15ed
BLAKE2b-256 a991ee6c20810d8722adbac8010e2a4131642efffb6a6b694bd51a7d40cc3d0b

See more details on using hashes here.

File details

Details for the file zen_garden-1.10.1-py3-none-any.whl.

File metadata

  • Download URL: zen_garden-1.10.1-py3-none-any.whl
  • Upload date:
  • Size: 144.6 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-1.10.1-py3-none-any.whl
Algorithm Hash digest
SHA256 d8047ccbc13303368c84f518e98fd5702d40df7648657d70cdd0572ccf22115d
MD5 eb1e0c588cabb81908c4620f7a935f76
BLAKE2b-256 4942358d9b81e13bb08b3999150af5767b1fe7aa699ea28cf2e1c2147f7464d3

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