# IESopt: Integrated Energy System Optimization
[](https://pypi.org/project/iesopt/)
[](https://ait-energy.github.io/iesopt/)
[](LICENSE)
[](https://github.com/ait-energy/iesopt/actions/workflows/pytest.yml?query=branch%3Amain)
[](https://codecov.io/gh/ait-energy/iesopt)
[](https://github.com/astral-sh/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](https://www.ait.ac.at/). 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.
> Note: We are currently merging the documentation which was split into three locations and is also done (for a large part) in Julia, into this repository. This is a work in progress and will be updated over the next weeks.
Raw data
{
"_id": null,
"home_page": "https://github.com/ait-energy/iesopt",
"name": "iesopt",
"maintainer": "Stefan Str\u00f6mer",
"docs_url": null,
"requires_python": "<4.0,>=3.11",
"maintainer_email": "8915976+sstroemer@users.noreply.github.com",
"keywords": "integrated energy systems, optimization, energy model, modelling",
"author": "Stefan Str\u00f6mer",
"author_email": "8915976+sstroemer@users.noreply.github.com",
"download_url": "https://files.pythonhosted.org/packages/b7/e9/6ae477dc34ddb2fad482b0098aaa5773f02071dd85f4cae9881615e352f6/iesopt-2.2.1.tar.gz",
"platform": null,
"description": "# IESopt: Integrated Energy System Optimization\n\n[](https://pypi.org/project/iesopt/)\n[](https://ait-energy.github.io/iesopt/)\n[](LICENSE)\n\n[](https://github.com/ait-energy/iesopt/actions/workflows/pytest.yml?query=branch%3Amain)\n[](https://codecov.io/gh/ait-energy/iesopt)\n[](https://github.com/astral-sh/ruff)\n\n**IESopt** (_Integrated Energy System Optimization_) is a modeling and optimization framework for integrated energy\nsystems.\n\nIt is developed and maintained at the **Center for Energy** at\n[AIT Austrian Institute of Technology GmbH](https://www.ait.ac.at/). The framework is designed to support the\noptimization of energy systems that are characterized by a high degree of integration between different energy carriers\nand sectors. It focuses on offering a modular and adaptable tool for modelers, that does not compromise on performance,\nwhile still being user-friendly. This is enabled by reducing energy system assets to abstract building blocks, that are\nsupported by specialized implementation, and can be combined into complex systems without the need of a detailed\nunderstanding of mathematical modeling or proficiency in any coding-language.\n\n> Note: We are currently merging the documentation which was split into three locations and is also done (for a large part) in Julia, into this repository. This is a work in progress and will be updated over the next weeks.\n\n",
"bugtrack_url": null,
"license": "MIT",
"summary": "IESopt -- an Integrated Energy System Optimization framework.",
"version": "2.2.1",
"project_urls": {
"Changelog": "https://github.com/ait-energy/iesopt/releases",
"Documentation": "https://ait-energy.github.io/iesopt",
"Homepage": "https://github.com/ait-energy/iesopt",
"Issues": "https://github.com/ait-energy/iesopt/issues",
"Repository": "https://github.com/ait-energy/iesopt"
},
"split_keywords": [
"integrated energy systems",
" optimization",
" energy model",
" modelling"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "0b1ebaf5219e8c9dd8f1d89fc67507463cbdb42a123b8218c8b61d074db04d2e",
"md5": "2b999cb102e1645154c2e21d398cb594",
"sha256": "bacb34c3fe05407965e641ddd8575828f252a0ce671862f80ac14b952ff3d22c"
},
"downloads": -1,
"filename": "iesopt-2.2.1-py3-none-any.whl",
"has_sig": false,
"md5_digest": "2b999cb102e1645154c2e21d398cb594",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": "<4.0,>=3.11",
"size": 18015,
"upload_time": "2024-12-12T22:16:48",
"upload_time_iso_8601": "2024-12-12T22:16:48.423554Z",
"url": "https://files.pythonhosted.org/packages/0b/1e/baf5219e8c9dd8f1d89fc67507463cbdb42a123b8218c8b61d074db04d2e/iesopt-2.2.1-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "b7e96ae477dc34ddb2fad482b0098aaa5773f02071dd85f4cae9881615e352f6",
"md5": "873482a1adfa5cda420654980645883e",
"sha256": "2077863bff5a9ac355fc95870fc6f3e61341145c6b3950b5608987734d433e2e"
},
"downloads": -1,
"filename": "iesopt-2.2.1.tar.gz",
"has_sig": false,
"md5_digest": "873482a1adfa5cda420654980645883e",
"packagetype": "sdist",
"python_version": "source",
"requires_python": "<4.0,>=3.11",
"size": 15825,
"upload_time": "2024-12-12T22:16:51",
"upload_time_iso_8601": "2024-12-12T22:16:51.051170Z",
"url": "https://files.pythonhosted.org/packages/b7/e9/6ae477dc34ddb2fad482b0098aaa5773f02071dd85f4cae9881615e352f6/iesopt-2.2.1.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-12-12 22:16:51",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "ait-energy",
"github_project": "iesopt",
"travis_ci": false,
"coveralls": false,
"github_actions": true,
"lcname": "iesopt"
}