Today, we had two new releases, oemof.network 0.5.0 (GitHub, PyPI) and oemof.solph 0.5.2 (GitHub, PyPI). The release of the first includes a lot of refactoring and cleaning. The code should now be a lot easier to understand and to maintain. We now use explicit keyword arguments also for network, so typos will be easy to find. Secondly, there is a (still experimental) API to get Nodes by label. At last, we now officially support an API to add Flows between existing Nodes. Using this API in solph, the Nodes might e.g. be Buses:
Continue reading “solph v0.5.2: Next Network”Tag: oemof.solph
solph v0.5.1: Compliant Converter
Today, oemof.solph v0.5.1, code name “compilant converter” has been released. (Package at PyPI, Tag at GitHub). The most noteworthy addition is a new (still experimental) feature multi-period (dynamic) investment models. The code name refers to a small but maybe more evident change: The component Transformer is renamed to Converter. This is because people typically think of electrical devices when they hear the word “transformer”. However, as experienced users of our package know, the Transformer is neither meant to be (only) electrical nor bidirectional (as electrical transformers typically are). Thus, the more generic term “converter” is now used. (Note that we always had the argument “conversion_factor”.) To maintain compatibility for v0.5.0, there is a transitional wrapper that still allows to name the component “Transformer”. It will keep telling you about the upcoming change, though. Another usability feature is the presentation of the examples as part of the documentation. Also, we fixed error when calling oemof_installation_test as a console script. It turned out to confuse quite a few new users that it did not work as documented in the previous release.
We hope to have a fair balance between improvements in usability and new (experimental) features to make this an exciting release for all kinds of users. For us, it definitely is.
RC1 of solph 0.5.1
We have a release candidate for v0.5.1 (Package at PyPI, Tag at GitHub). There are some additions, but we also prepare for significant API changes that will come obligatory with v0.6. When upgrading from v0.5.0 to v0.5.1, there should be no changes required for you code. (This is not true if you use features that are explicitly marked “experimental”. Those may change without notice.)
Noticeable changes include:
- The component
Transformeris now namedConverter. - You can now combine
InvestmentandOffsetConverter. - Having energy stored in a
GenericStoragecan now have a cost. - You can now give an
Investmentobject as thenominal_value. We considered this more intuitive than working with two mutually exclusive different keyword arguments. - Tons of improvements in the (still experimental) MultiPeriod optimisation.
Again, there are transitional wrappers, so nothing should break when updating from v0.5.0, using the new API should be voluntary (you get a warning) for now. It would be nice if you test if your solph v0.5 code still works with this RC. We are aiming for a final release of v0.5.1 by the end of August.
oemof.solph v0.5 released
We are happy to announce oemof.solph v0.5.0 (codename “Rigorous refactoring”) . This release brings an extreme shift towards more user focused design:
- Clean definition of time indexes: You need N+1 points in time do define N time spans.
- Parts of the energy system graph are now clearly structured into
buses,components, andflows. This adds some extra words to imports but makes the underlying logic more transparent. - Public and private API are be more distinguished now. (‘_’ signifies private, public API is defined in init files.)
- Experimental code is now sitting in sub-modules called
experimental(replaces “custom”). - The flow arguments
summed_minandsummed_maxnow have the more descriptive namesfull_load_time_minandfull_load_time_max. - Keyword arguments are now explicit. This will make it easier to find the correct arguments and will also catch typos. Custom attributes can be added using the argument
custom_attributes. Those will be passed down the class hierarchy and can (possibly) be handled in parent classes. - Add
inactivity_costsas an option forFlows. Inactivity costs is a cost for times where a Flow is not operated. - Examples are added to the documentation. (The format of the examples could be improved, though.)
Besides these changes, there is one big thing that has happened “under the hood”. It is now possible to combine NonConvex and Investment optimisation in the same Flow.
oemof.tabular 0.0.3: New release on PyPI
We are happy to announce that we have released a new version of oemof.tabular. Oemof.tabular allows to create energy systems from tabular datapackages, which makes it easy to build models without writing a lot of code.
The focus of the release has been the adaption of tabular to oemof.solph 0.4.5. The following changes have been made:
- Adjusted to new oemof.solph structure.
- Allowed definition of costum foreign keys. Keys and related descriptors are now read from config files (.json) and can be adopted by setting environment variables using custom config files.
- Added constraint tests for most facades.
- Reduced number of imported packages.
- Cleaned up the badges in README.
- Moved CI services to GitHub actions.
The following issues have been fixed:
- Fixed Link by not setting constraints that limit direction.
- Fixed storage investment with existing capacities
- Introduced a conditional to fix error when running datapackages with expandable links.
- Fixed typo in the attribute
variable_costsin facades.py. - Introduced marginal costs for both output flows instead of only one to avoid elimination of energy.
A detailed summary can be found here.
Solph 0.4.4: Capable Custom Components
Earlier this month, we released solph 0.4.4. It focuses on two new “custom components” (This is how we call in-developments components that are not yet part of the stable API.) There are:
- PiecewiseLinearTransformer. A transformer model with one input and one output and an arbitrary piecewise linear conversion function.
- Enhanced SinkDSM (sink allowing for demand side management)
- Renamed keyword argument
methodtoapproach - Renamed approaches
intervaltooemofanddelaytoDIW - Added modelling approach
DLR(PhD thesis of Hans Christian Gils 2015) - Included load shedding
- Introduced
recovery_timeinDIWapproach - Introduced
shift_timeand other parameters forDLRapproach - Included investments in DSM
- Normalized keyword arguments
demand,capapcity_upandcapacity_down
- Renamed keyword argument
Further, some smaller changes made it into the release:
- Check number of
Flows inGenericStorage - Allow conversion factor of zero for
GenericTransformer - Split code into submodules
- Move CI-Tests from Travis to github
