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:
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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: https://github.com/znes/renpass_gis

The great revision

We proudly present the totally revised version of oemof!

Now oemof is more flexible, better documented and ready to join for new contributors and users.

The framework provides the basis for a great range of different energy system model types, ranging from LP bottom-up (power and heat) economic dispatch models with optional investment to MILP operational unit commitment models.

Continue reading “The great revision”

feedinlib’s pv model works again with v0.0.9

Due to some changes in the pvlib API, we had to adapt the pv model of the feedinlib. Now everything works fine again.

Together with the pvlib we are planing to reduce the code of feedinlib’s pv model and move missing functionalities directly to the pvlib. This will avoid incompatibility problems in the future.

https://pypi.python.org/pypi/feedinlib/