The CL-PFU database uses many sources of input data spanning hundreds of
data files. The targets pipeline
in the PFUPipeline package creates RUVY matrices for the
PSUT
framework in matsindf format,
containing descriptions of energy conversion chains (ECCs) in energy and
exergy terms. Those ECCs can be used as input data to create many
aggregated versions of the ECCs, which are amenable to presentation and
efficiency calculations. Computational tools to aggregate and calculate
efficiencies are needed.
This package (PFUAggPipeline) creates another
targets computational pipeline,
one that aggregates and calculates efficiencies from the results of
PFUPipeline package. The targets
computational pipeline provides helpful dependency management so what is
done stays done during debugging.
You can install the development version of PFUAggPipeline from
GitHub with:
# install.packages("devtools")
devtools::install_github("EnergyEconomyDecoupling/PFUAggPipeline")At the RStudio console, type
library(targets) # to load the targets package
tar_visnetwork() # to see a directed acyclic graph of the calculations that will take place
tar_make_future(workers = 2) # to execute the calculations (or `workers = 8`, if you have enough cores)targets::tar_read(<<target>>) pulls the value of a target out of the
targets cache. (<<target>> should be an unquoted symbol such as
Specified.)
targets::tar_destroy() invalidates the targets cache and forces
reanalysis of everything. Reanalyzing everything may take a while.
See the vignette entitled “Access PFU Database Products Via Pins”.
For information about the targets package, see the targets
manual.
For documentation on the PFUAggPipeline package, see
https://EnergyEconomyDecoupling.github.io/PFUAggPipeline/.