IESopt -- an Integrated Energy System Optimization framework.
Project description
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.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file iesopt-1.0.0a3.tar.gz.
File metadata
- Download URL: iesopt-1.0.0a3.tar.gz
- Upload date:
- Size: 2.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.0.0 CPython/3.12.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | b456b4d145f7569838fa7b277933b9c50ea880af7fb3d2c6f157f466ef432ca8 |
|
| MD5 | 80c26e3a2b76cdcde2529a64e16355d1 |
|
| BLAKE2b-256 | 2338a2856871ca5ca67aa20b4102da550fd232c12dbaf7650899c444951fff0e |
File details
Details for the file iesopt-1.0.0a3-py3-none-any.whl.
File metadata
- Download URL: iesopt-1.0.0a3-py3-none-any.whl
- Upload date:
- Size: 2.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.0.0 CPython/3.12.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 65f2e2f7cfa5d63016fe0a9f01bfe266f837b0b57c93b8cd7a3b215927db2e7b |
|
| MD5 | 4194674612d83f9d4af019e700eb3e45 |
|
| BLAKE2b-256 | 03a66d1234d78dad14da5418d5f67a06ebc9457058dd2a56aa03030710819949 |
