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
pypsa_eur_5 interpolated and solved with GLPK. Same data licence and provenance as pypsa_eur_models.
Details
The objective is 164899752.517096. That figure is a regression gate rather
than a curiosity: the build (reneuro.dev/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 current flat single-loss-rate corridors.
The retired six-tranche default gave 164664296.503735; converting with
tranches = 6 still reproduces that rung of the transmission ladder.
Examples
attr(be_solved, "reneuro_provenance")$objective
#> [1] 164899753