Gambling Generator – v0.2.1

This late winter/early spring release comprises some new features like minimum up- and downtime constraints and some new functions for the processing of results. Some bug fixes and improvements keep oemof functional and up-to-date.

Checkout the ‘What’s new’ section of the actual documentation for more detailed information.

With this release the pyomo issue is fixed. Please upgrade oemof to bring everything in line (see below for v0.1.x and v0.2.x). Continue reading “Gambling Generator – v0.2.1”

Toddle Turbine – v0.2.0

Let us start the new year with a new major release.

Unlike the release title this version will be more stable due to an improved testing environment.

With more than 700 commits, 100 issues and pull requests from 14 contributors this has been the release with the highest contribution of the oemof community. We improved the structure and the documentation to make it even easier to contribute in the future. Join our community and become a contributor of the next release. Continue reading “Toddle Turbine – v0.2.0”

Spring fever (learning how to test properly)

There was a little difference that made the examples run in the last release if you installed oemof locally but not if you installed it from pypi. Thus, they did not work with version 0.1.2.

Now we learned how to test them properly, applied a hotfix and released two versions again, due to superstitions (1.3 is almost a 13). The actual version is now v.0.1.4. It is not true but a nice story and due to the open philosophy errors like these fortunately show up really quick :smirk:

Have a look at the 0.1.2 release to see the real changes and stay tuned!

The oemof springtime release (v0.1.2)

The winter is gone, spring cleaning is done and we come up with a new release…

A revision of the installation guidelines and the examples will make it easier for new users to enter the world of oemof. Additionally, some new features have been imlemented besides a cleaned up code base:
Continue reading “The oemof springtime release (v0.1.2)”

Initial release of renpassG!S

This week, the first version of the oemof-application renpassG!S has been released!

renpassG!S is an easy-to-use application designed to model the cost-minimal dispatch of energy supply systems. Technically speaking, it is a so-called numerical partial equilibrium model of a liberalised electricity market often referred to as fundamental model.

More information and some screenshots of possible outcomes can be found here: