pypsa_eur_5 interpolated and solved with GLPK. It ships so the vignettes can show results without requiring a solver at build time.
Format
An energyRt scenario object with its solution attached.
Source
Solved by data-raw/make_be_solved.R. Same data licence and
provenance as pypsa_eur_models.
Details
The objective is 164664296.503735. That figure is a regression gate rather
than a curiosity: data-raw/make_be_solved.R refuses to save a scenario that
does not reproduce it, so this object cannot silently drift.
The value corresponds to the six-tranche loss default. Converting the same
network with tranches = NULL – a single flat loss rate, rung 1 of the
transmission ladder – gives 164899752.517096 instead.
Examples
attr(be_solved, "reneuro_provenance")$objective
#> [1] 164664297