Tag: oemof.solph

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_costs in 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 method to approach
    • Renamed approaches interval to oemof and delay to DIW
    • Added modelling approach DLR (PhD thesis of Hans Christian Gils 2015)
    • Included load shedding
    • Introduced recovery_time in DIW approach
    • Introduced shift_time and other parameters for DLR approach
    • Included investments in DSM
    • Normalized keyword arguments demand, capapcity_up and capacity_down

Further, some smaller changes made it into the release:

  • Check number of Flow s in GenericStorage
  • Allow conversion factor of zero for GenericTransformer
  • Split code into submodules
  • Move CI-Tests from Travis to github