iesopt


Nameiesopt JSON
Version 2.3.0 PyPI version JSON
download
home_pagehttps://github.com/ait-energy/iesopt
SummaryIESopt -- an Integrated Energy System Optimization framework.
upload_time2025-01-10 23:38:54
maintainerStefan Strömer
docs_urlNone
authorStefan Strömer
requires_python<4.0,>=3.11
licenseMIT
keywords integrated energy systems optimization energy model modelling
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # IESopt: Integrated Energy System Optimization

[![PyPI - Version](https://img.shields.io/pypi/v/iesopt)](https://pypi.org/project/iesopt/)
[![Docs](https://img.shields.io/badge/docs-stable-blue.svg)](https://ait-energy.github.io/iesopt/)
[![License](https://img.shields.io/github/license/ait-energy/iesopt)](LICENSE)

[![Build Status](https://github.com/ait-energy/iesopt/actions/workflows/pytest.yml/badge.svg?branch=main)](https://github.com/ait-energy/iesopt/actions/workflows/pytest.yml?query=branch%3Amain)
[![codecov](https://codecov.io/gh/ait-energy/iesopt/graph/badge.svg?token=MC2IN9URZY)](https://codecov.io/gh/ait-energy/iesopt)
[![Ruff](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json)](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/16/dc/9f50a3558eba94b1428d1d5dd62624924adac22a595d72d1f24bbc753c7d/iesopt-2.3.0.tar.gz",
    "platform": null,
    "description": "# IESopt: Integrated Energy System Optimization\n\n[![PyPI - Version](https://img.shields.io/pypi/v/iesopt)](https://pypi.org/project/iesopt/)\n[![Docs](https://img.shields.io/badge/docs-stable-blue.svg)](https://ait-energy.github.io/iesopt/)\n[![License](https://img.shields.io/github/license/ait-energy/iesopt)](LICENSE)\n\n[![Build Status](https://github.com/ait-energy/iesopt/actions/workflows/pytest.yml/badge.svg?branch=main)](https://github.com/ait-energy/iesopt/actions/workflows/pytest.yml?query=branch%3Amain)\n[![codecov](https://codecov.io/gh/ait-energy/iesopt/graph/badge.svg?token=MC2IN9URZY)](https://codecov.io/gh/ait-energy/iesopt)\n[![Ruff](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json)](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": "2.3.0",
    "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": "79ec09cfa141991c882db7d963cee86a4d3a557b23badd36437ec27d7dd58335",
                "md5": "3f23d1076df4b8791a7f7b50370335d3",
                "sha256": "7db5b8a4063854ea8ef72c9270e1ed545f7e828f920228bbb567a95b9754ffb8"
            },
            "downloads": -1,
            "filename": "iesopt-2.3.0-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "3f23d1076df4b8791a7f7b50370335d3",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": "<4.0,>=3.11",
            "size": 19243,
            "upload_time": "2025-01-10T23:38:52",
            "upload_time_iso_8601": "2025-01-10T23:38:52.394912Z",
            "url": "https://files.pythonhosted.org/packages/79/ec/09cfa141991c882db7d963cee86a4d3a557b23badd36437ec27d7dd58335/iesopt-2.3.0-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "16dc9f50a3558eba94b1428d1d5dd62624924adac22a595d72d1f24bbc753c7d",
                "md5": "1fce308b1d73d52413e9103ff272a472",
                "sha256": "bb83b63cf0636a4884e2f23fc30b1f044b39c8b48351d51a1a71490ea80f4179"
            },
            "downloads": -1,
            "filename": "iesopt-2.3.0.tar.gz",
            "has_sig": false,
            "md5_digest": "1fce308b1d73d52413e9103ff272a472",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": "<4.0,>=3.11",
            "size": 16514,
            "upload_time": "2025-01-10T23:38:54",
            "upload_time_iso_8601": "2025-01-10T23:38:54.890337Z",
            "url": "https://files.pythonhosted.org/packages/16/dc/9f50a3558eba94b1428d1d5dd62624924adac22a595d72d1f24bbc753c7d/iesopt-2.3.0.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2025-01-10 23:38:54",
    "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"
}
        
Elapsed time: 0.44090s