oemof

The Open Energy Modelling Framework (oemof) is a Python toolbox for energy system modelling and optimisation.

The oemof project aims to be a loose organisational frame for tools in the wide field of (energy) system modelling. Every project is managed by their own developer team but we share some developer and design rules to make it easier to understand each other’s tools. All project libraries are free software licenced under the MIT license.

All projects are in different stages of implementation, some even may not have a stable release, but all projects are open to be joined by interested people. We do not belong to a specific institution and everybody is free to join the developer teams and will have the same rights. There is no higher decision level.

This repository is also used to organise everything for the oemof community.

Webconference dates
Real life meetings
Website and Mailinglist
General communication

You can find recent topics of discussion in the issues.

Overview

Projects with stable releases

oemof-solph

A model generator for energy system modelling and optimisation (LP/MILP) - (formerly know as oemof).
oemof-thermal
cydets

Cycle Detection in Time Series (CyDeTS). An algorithm to detect cycles in times series along with their respective depth-of-cycle (DoC) and duration.
demandlib

The demandlib library can be used to create load profiles for elctricity and heat knowing the annual demand. See the documentation of the demandlib for examples and a full description of the library.
feedinlib

The feedinlib library serves as an interface between Open Data weather data and libraries to calculate feedin timeseries for fluctuating renewable energy sources.
TESPy

Thermal Engineering Systems in Python (TESPy). This package provides a powerful simulation toolkit for thermal engineering plants such as power plants, district heating systems or heat pumps.
windpowerlib

The windpowerlib is a library that provides a set of functions and classes to calculate the power output of wind turbines. It was originally part of the feedinlib (windpower and photovoltaic) but was taken out to build up a community concentrating on wind power models.

Projects in an early state

DHNx

District heating system optimisation and simulation models

tox

Changelog

1.0.0 (2022-11-09)

Adapt setup.py to install the actual version of all oemof packages.

0.4.0.beta0 (2020-04-04)

First release on PyPI.

Release files for oemof 1.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for oemof 1.0
File	Size	Uploaded
oemof-1.0.tar.gz	169.3 kB	Nov 9, 2022	Details

Built distribution (wheel)

Table of built distributions (wheels) for oemof 1.0
File	Interpreter	ABI	Platform	Reset
oemof-1.0-py2.py3-none-any.whl 5.3 kB Nov 9, 2022	Python 2, Python 3	none	any	Details

Total release size: 174.6 kB

Release files / oemof-1.0.tar.gz

Download URL	oemof-1.0.tar.gz
Size	169.3 kB
Tags	Source
SHA-256 checksum How to use checksums	`35dd63b3a3375eec5ab5ef63633c66799ee608d086fab33df0a5cf50da46f3a2`
BLAKE2b-256 checksum How to use checksums	`d5c10b7fbdfbf13ab0a147a06e8a65997c4d22c1ed357e30a2199058d105a87d`
Upload date	Nov 9, 2022
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.1 CPython/3.9.7`

Release files / oemof-1.0-py2.py3-none-any.whl

Download URL	oemof-1.0-py2.py3-none-any.whl
Size	5.3 kB
Tags	Python 2 Python 3
SHA-256 checksum How to use checksums	`9a9c54d2b5040e1b2f6bb84c241e2fb2f9ffa7a3bab644a99c269eb4ab5e7dc4`
BLAKE2b-256 checksum How to use checksums	`8df38605806dce83be133bbe169c341af825bf79d2e5922ef39a5955a50a6132`
Upload date	Nov 9, 2022
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.1 CPython/3.9.7`