Renewables Energy Sources

 # CRAN limite CPU usage

Antares v8.0.3 allow to work with renewable energy sources, implemented in Antares as a new functionnality: renewables clusters. Here’s a quick start guide to use those new features.

As always, setup the study you want to use:

tmp <- tempfile()
createStudy(path = tmp, study_name = "res-study")
opts <- setSimulationPath(tmp)

Activate RES

First you need to activate RES functionality, to do so you can use:


This will set renewable-generation-modelling parameters to clusters and create appropriate file structure to create RES clusters.

You can also update renewable-generation-modelling parameters manually with:

updateOptimizationSettings(renewable.generation.modelling = "clusters")

Manipulate clusters

Like thermal clusters, there’s equivalent functions to create, edit and remove RES clusters:

# create an area to create a cluster in it
createArea(name = "area51")

# Create a renewable cluster
  area = "area51", 
  cluster_name = "ren01", 
  add_prefix = FALSE

# Use an other group and some parameters
  area = "area51", 
  cluster_name = "ren02", 
  group = "Wind Offshore",
  nominalcapacity = 123,
  ts_interpretation = "production-factor",
  add_prefix = FALSE

Edit an existing cluster with:

  area = "area51", 
  cluster_name = "ren02", 
  group = "Solar Rooftop", # new group
  add_prefix = FALSE

And remove a cluster with:

removeClusterRES(area = "area51", cluster_name = "ren01")

Scenario builder

There’s a new type of serie allowed in scenario builder for renewable clusters called r:

      [,1] [,2] [,3]
area51   1    2    3  

To update the scenario builder, you can use:

# generate scenario
sbuilder <- scenarioBuilder(n_scenario = 51)

# Update with:
updateScenarioBuilder(ldata = sbuilder, series = "renewables")
# OR
updateScenarioBuilder(ldata = list(r = sbuilder))