Closed 0UmfHxcvx5J7JoaOhFSs5mncnisTJJ6q closed 1 year ago
Seems to be a Problem in calcFEdemand
for Iceland
data <- calcOutput("FEdemand", subtype = "FE", aggregate = FALSE)
data["ISL",2025,"fesoi", pmatch=T]
More precisely, introduced here. Can you take a closer look @0UmfHxcvx5J7JoaOhFSs5mncnisTJJ6q ?
So EDGE_SSP1
and EDGE_SSP2
are actually the outdated industry/fixed_shares
calibration data we know to be false? Why not just delete them?
Also, the problem is that readEDGE('FE_stationary')
returns 0 feindsolid
for ISL
in 2020
here:
> stationary <- readSource("EDGE", subtype = "FE_stationary")
Run readSource(type = "EDGE", subtype = "FE_stationary")
~ - loading cache convertEDGE-F0bc1a876-816e8565.rds
Exit readSource(type = "EDGE", subtype = "FE_stationary") in 46.3 seconds
> stationary['ISL',c(2015, 2020, 2025),'SSP1.feindsolid']
An object of class "magpie"
, , scenario.item = SSP1.feindsolid
year
region y2015 y2020 y2025
ISL 0.00460468 0 0.0005815233
I don't mind removing this, if you know for sure the data is known to be false.
reposearch EDGE_projections
suggests that
calcOutput("FE", source = "EDGE_projections", scenario_proj = "SSP1|SSP2")
is only used to add the data to historical.mif, so this should not affect inputdata generation in any way.
So if there are no objections by @LaviniaBaumstark, i will remove this (Anastasis and Aman have added this a long time ago, but we cannot ask them for obvious reasons).
o.k., remove it if it is only needed for validation and no one cares
which apparently spreads to
FE|Industry
andFE
, as well asWorld
.Not sure whether
EDGE_SSP1
andEDGE_SSP2
are relevant for anything, though.