IESopt: Integrated Energy System Optimization
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
1 maintainer
Metadata
1 maintainer
Release files for iesopt 2.13.2
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| iesopt-2.13.2.tar.gz | 189.9 kB | With provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| iesopt-2.13.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 215.7 kB
Release files / iesopt-2.13.2.tar.gz
| Download URL | iesopt-2.13.2.tar.gz |
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| Size | 189.9 kB |
| Tags | Source |
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| Download URL | iesopt-2.13.2-py3-none-any.whl |
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| Size | 25.7 kB |
| Tags | Python 3 |
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