bjoern/pypsa-eur
1
0
Fork 0
Code Issues Pull Requests Actions 1 Packages Projects Releases Wiki Activity

Update spatial_resolution.rst

Browse Source
This commit is contained in:
Parisra 2022-08-19 13:35:49 +02:00 committed by GitHub
parent 87f1078d1d
commit 0bfab39a4e
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 7 additions and 1 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

8
doc/spatial_resolution.rst
View File

@ -6,7 +6,13 @@ Spatial resolution
The default nodal resolution of the model follows the electricity generation and transmission model `PyPSA-Eur <https://github.com/PyPSA/pypsa-eur>`_ , which clusters down the electricity transmission substations in each European country based on the k-means algorithm (See `cluster_network <https://pypsa-eur.readthedocs.io/en/latest/simplification/cluster_network.html#rule-cluster-network>`_ for a complete explanation). This gives nodes which correspond to major load and generation centres (typically cities).
Exemplary unsolved network clustered to left:512 nodes and right: 37 nodes
Exemplary unsolved network clustered to 512 nodes:
.. image:: ../graphics/elec_s_512.png
Exemplary unsolved network clustered to 37 nodes:
.. image:: ../graphics/elec_s_37.png
The total number of nodes for Europe is set in the config.yaml file under `clusters <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L20>`_. The number of nodes can vary between 37, the number of independent countries/ synchronous areas, and several hundred. With 200-300 nodes, the model needs 100-150 GB RAM to solve with a commercial solver like Gurobi.
Not all of the sectors are at the full nodal resolution, and some demand for some sectors is distributed to nodes using heuristics (Example?) that need to be corrected. Some networks (Example?) are copper-plated to reduce computational times.