A research paper that analyses how oemof addresses actual and future challenges in energy system modelling has been published by Simon Hilpert and co-authors in a preprint version. Feedback is highly appreciated!
Read the full text version or add comments at preprints.org.
The process of modelling energy systems is accompanied by challenges inherently connected with mathematical modelling. Continue reading “Preprint of oemof research paper published”
oemof – exchange, learn how to use, meet community and experience what is new.
The oemof developer group invites you for the oemof 2017 user meeting, hosted on May 9/10 at the Reiner Lemoine Institut in Berlin.
The meeting aims to connect users for exchange about how to use the framework. The growing community already developed a bunch of applications based on oemof, we would like to share among the oemof user group. Get in touch with users and developers, get inspired by applications of others and discuss new ideas! Continue reading “oemof user meeting 2017”
Yesterday we launched our improved website which now contains a library description, a list of applications and a gallery under the new domain www.oemof.org. We are planning to make this site the central place for people who are interested in oemof by providing a general overview. If you have any questions or suggestions, don’t hesitate to contact us!
A new version of the oemof database extension package oemof.db is now available.
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
With the new release of the feedinlib v0.0.11 all wind power calculations have been moved from the feedinlib to the new windpowerlib. We made this move in order to build a wind power modeller community similar to the pvlib. So check out and join the new windpowerlib!
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.
We achieved to goals with this updated demandlib version
Enjoy (-:
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/
This release of v0.0.8 includes some bug fixes for the old stable oemof version. Try this update for running projects. For new projects you should check out v0.1beta as this is the future of oemof and includes some major improvements.
For more information, see:
