Attach weather profiles to a model — attach

pypsa_eur_nuts3 and the horizon series pypsa_eur_41_2025 ... pypsa_eur_41_2050 ship without their hourly weather profiles, which are most of their size (the six horizon models share pypsa_eur_41's profiles bit-for-bit, so shipping them six more times would store nothing new). Their technologies still reference the profiles by name, so a model must have them attached before it is interpolated.

Usage

attach_weather(mod, resources = NULL, from = NULL)

Arguments

mod: A model, normally pypsa_eur_nuts3 or a pypsa_eur_41_<year>.
resources: Resource names to attach, from weather_resources(). NULL (default) attaches all of them. Ignored when from is given.
from: A model to copy the weather objects from instead of the wx_nuts3_* datasets — pypsa_eur_41 for the horizon series.

Value

mod with the requested weather objects added.

Details

Attaching only what a study uses keeps the model small: a solar-and-onshore analysis loads 75 MB rather than 182 MB.

Examples

# \donttest{
m <- attach_weather(pypsa_eur_nuts3, c("onwind", "solar"))
names(energyRt::getObject(m, class = "weather"))
#> [1] "W_ONWIND" "W_SOLAR" 

m25 <- attach_weather(pypsa_eur_41_2025, from = pypsa_eur_41)
# }