Comments (1)
p-snft
commented on August 10, 2024
Hi @drmattimoli, I really see the point. Here is a bit of background:
The Converter relates all inputs with all outputs. This is only possible because the relations are linear without an offset. In principle, it was possible to have one input but multiple outputs for the OffsetConverter. So, the Converter can do N:M connections with arbitrary N, M. The OffsetConverter could do 1:M, if we implemented that. However, you achieve exactly the same by using multiple OffsetConverters sharing the same Converter as their source. For M:1 conversion, you will always have do it that way. So, for the sake of consistence, OffsetConverter can only do 1:1.
from oemof-solph.
Related Issues (20)
- Allow multiple outputs at OffsetConverter HOT 4
- Results processing should check if optimisation succeeded
- Using `custom_attributes` of `Source` and `Sink` classes fails HOT 1
- Add periodic values to invest relation of generic storage
- Implement alternative back-end to Pyomo (e.g. linopy) HOT 9
- How to define a switching Converter ? HOT 7
- The `OffsetConverter` is broken in the new implementation HOT 4
- The basic_example.py is broken HOT 1
- Aggregate all sorts of tools configurations in `pyproject.toml` HOT 1
- The online documentation could have a more appealing/modern look
- Investment limit AttributeError if storage investment only HOT 1
- Remove cellular model stub HOT 2
- Replace constraint tests HOT 5
- Refine timeindex
- running oemof_installation_test on venv HOT 6
- Formulation of "gradient limit" needs rework
- Compare `master` with `dev` in the bagde "commits since ..." HOT 2
- N+1 timesteps regarded in storage_costs for GenericStorage HOT 1
- Update Indexing of Pandas Objects to the New Version HOT 1
- NonConvex initial_status=1 does not work as assumed HOT 1
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from oemof-solph.