Skip to main content

IESopt -- an Integrated Energy System Optimization framework.

Project description

IESopt: Integrated Energy System Optimization

PyPI - Version Docs License

Build Status codecov Ruff

IESopt (Integrated Energy System Optimization) is a modeling and optimization framework for integrated energy systems.

It is developed and maintained at the Center for Energy at AIT Austrian Institute of Technology GmbH. The framework is designed to support the optimization of energy systems that are characterized by a high degree of integration between different energy carriers and sectors. It focuses on offering a modular and adaptable tool for modelers, that does not compromise on performance, while still being user-friendly. This is enabled by reducing energy system assets to abstract building blocks, that are supported by specialized implementation, and can be combined into complex systems without the need of a detailed understanding of mathematical modeling or proficiency in any coding-language.

If you are looking for the framework's core model, written in Julia, head over to the IESopt.jl repository.

Getting started

Head over to the documentation to get started with IESopt.

Contributing

PRs accepted. Checkout the developer documentation section in the documentation.

License

MIT © AIT Austrian Institute of Technology GmbH.

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

iesopt-2.12.0.tar.gz (212.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

iesopt-2.12.0-py3-none-any.whl (25.6 kB view details)

Uploaded Python 3

File details

Details for the file iesopt-2.12.0.tar.gz.

File metadata

  • Download URL: iesopt-2.12.0.tar.gz
  • Upload date:
  • Size: 212.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for iesopt-2.12.0.tar.gz
Algorithm Hash digest
SHA256 c744aa181d7dee1681aa11520b9f9b4c8d18f58244d4d010d14f047a15c0f3e3
MD5 21f49925f203ba6c0c7c04ed465ec872
BLAKE2b-256 c390f46949d09f2080c9cedb4d61512da1a599795419af69d457422850685b02

See more details on using hashes here.

Provenance

The following attestation bundles were made for iesopt-2.12.0.tar.gz:

Publisher: pypi_publish.yml on ait-energy/iesopt

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file iesopt-2.12.0-py3-none-any.whl.

File metadata

  • Download URL: iesopt-2.12.0-py3-none-any.whl
  • Upload date:
  • Size: 25.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for iesopt-2.12.0-py3-none-any.whl
Algorithm Hash digest
SHA256 474ff01f2d976d063c56e576eda7141803a86411b62cf31de5bd169d8b13dbcc
MD5 13050c1d3530fcd944727ce519cb4464
BLAKE2b-256 97c19ef6dfe9bdd8fad970ff2ff5f14ce9d4bb30f075772fa07dc87775c10fd2

See more details on using hashes here.

Provenance

The following attestation bundles were made for iesopt-2.12.0-py3-none-any.whl:

Publisher: pypi_publish.yml on ait-energy/iesopt

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

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