Get Installed Generation Capacity per Production Unit (14.1.B)

The installed generation capacities (MW) at the beginning of the year for all the production units, including the planned ones.

Usage

gen_installed_capacity_per_pu(
  eic = NULL,
  year = year(Sys.Date()),
  psr_type = NULL,
  tidy_output = TRUE,
  security_token = Sys.getenv("ENTSOE_PAT")
)

Arguments

eic: Energy Identification Code of the control area, bidding zone or country
year: YYYY format Cannot be shown more than 3 years ahead as required by the law.
psr_type: Defaults to NULL, otherwise list of generation type codes from asset_types table
tidy_output: Defaults to TRUE. If TRUE, then flatten nested tables.
security_token: Security token

Value

A tibble::tibble() with the queried data.

Examples

df <- entsoeapi::gen_installed_capacity_per_pu(
  eic = "10YDE-VE-------2",
  year = 2020,
  psr_type = "B05"
)
#> 
#> ── API call ────────────────────────────────────────────────────────────────────────────────────────────────────────────
#> → https://web-api.tp.entsoe.eu/api?documentType=A71&processType=A33&in_Domain=10YDE-VE-------2&psrType=B05&periodStart=202001010000&periodEnd=202101010000&securityToken=<...>
#> <- HTTP/2 200 
#> <- date: Mon, 13 Apr 2026 08:51:34 GMT
#> <- content-type: text/xml
#> <- content-disposition: inline; filename="EXPORT_PRODUCTION_AND_GENERATION_UNITS_202011100 - 202111100.xml"
#> <- x-content-type-options: nosniff
#> <- x-xss-protection: 0
#> <- vary: accept-encoding
#> <- content-encoding: gzip
#> <- strict-transport-security: max-age=15724800; includeSubDomains
#> <- 
#> ✔ response has arrived
#> ✔ Additional type names have been added!
#> 
#> ── public download ─────────────────────────────────────────────────────────────────────────────────────────────────────
#> ℹ downloading resource_object_eic table ...
#> 
#> ── public download ─────────────────────────────────────────────────────────────────────────────────────────────────────
#> ℹ pulling W_eicCodes.csv file from cache
#> ✔ Additional eic names have been added!
#> ✔ Additional definitions have been added!

dplyr::glimpse(df)
#> Rows: 13
#> Columns: 26
#> $ ts_in_bidding_zone_domain_mrid  <chr> "10Y1001A1001A82H", "10Y1001A1001A82H", "10Y1001A1001A82H", "10Y1001A1001A82H"…
#> $ ts_in_bidding_zone_domain_name  <chr> "Germany_Luxemburg", "Germany_Luxemburg", "Germany_Luxemburg", "Germany_Luxemb…
#> $ ts_mkt_psr_type_psr_mrid        <chr> "11WD8REUW1C---DD", "11WD8REUW1C---EB", "11WD8ROST1C----K", "11WD8TIEF5C----9"…
#> $ ts_mkt_psr_type_psr_name        <chr> "HKW Reuter West Block D", "HKW Reuter West Block E", "Kraftwerk Rostock", "HK…
#> $ ts_registered_resource_mrid     <chr> "11WD8REUW1C----4", "11WD8REUW1C----4", "11WD8ROST1C---P5", "11WD8TIEF5X----V"…
#> $ ts_registered_resource_name     <chr> "Reuter West", "Reuter West", "Rostock Kohlekraftwerk Produktionsanlage", "Tie…
#> $ type                            <chr> "A71", "A71", "A71", "A71", "A71", "A71", "A71", "A71", "A71", "A71", "A71", "…
#> $ type_def                        <chr> "Generation forecast", "Generation forecast", "Generation forecast", "Generati…
#> $ process_type                    <chr> "A33", "A33", "A33", "A33", "A33", "A33", "A33", "A33", "A33", "A33", "A33", "…
#> $ process_type_def                <chr> "Year ahead", "Year ahead", "Year ahead", "Year ahead", "Year ahead", "Year ah…
#> $ ts_object_aggregation           <chr> "A06", "A06", "A06", "A06", "A06", "A06", "A06", "A06", "A06", "A06", "A06", "…
#> $ ts_object_aggregation_def       <chr> "Resource Object", "Resource Object", "Resource Object", "Resource Object", "R…
#> $ ts_business_type                <chr> "B11", "B11", "B11", "B11", "B11", "B11", "B11", "B11", "B11", "B11", "B11", "…
#> $ ts_business_type_def            <chr> "Production unit", "Production unit", "Production unit", "Production unit", "P…
#> $ ts_mkt_psr_type                 <chr> "B05", "B05", "B05", "B05", "B05", "B05", "B05", "B05", "B05", "B05", "B05", "…
#> $ ts_mkt_psr_type_def             <chr> "Fossil Hard coal", "Fossil Hard coal", "Fossil Hard coal", "Fossil Hard coal"…
#> $ created_date_time               <dttm> 2026-04-13 08:51:34, 2026-04-13 08:51:34, 2026-04-13 08:51:34, 2026-04-13 08:…
#> $ time_period_time_interval_start <dttm> 2019-12-31 23:00:00, 2019-12-31 23:00:00, 2019-12-31 23:00:00, 2019-12-31 23:…
#> $ time_period_time_interval_end   <dttm> 2021-01-01, 2021-01-01, 2021-01-01, 2021-01-01, 2021-01-01, 2021-01-01, 2021-…
#> $ ts_resolution                   <chr> "P1Y", "P1Y", "P1Y", "P1Y", "P1Y", "P1Y", "P1Y", "P1Y", "P1Y", "P1Y", "P1Y", "…
#> $ ts_time_interval_start          <dttm> 2019-12-31 23:00:00, 2019-12-31 23:00:00, 2019-12-31 23:00:00, 2019-12-31 23:…
#> $ ts_time_interval_end            <dttm> 2020-12-31 23:00:00, 2020-12-31 23:00:00, 2020-12-31 23:00:00, 2020-12-31 23:…
#> $ ts_mrid                         <chr> "02c1c06315e14e8e", "02c1c06315e14e8e", "162eeba726e9497c", "1ae70543c6074b81"…
#> $ ts_point_dt_start               <dttm> 2019-12-31 23:00:00, 2019-12-31 23:00:00, 2019-12-31 23:00:00, 2019-12-31 23:…
#> $ ts_point_quantity               <dbl> 564, 564, 514, 316, 316, 140, 140, 140, 140, 250, 250, 1600, 1600
#> $ ts_quantity_measure_unit_name   <chr> "MAW", "MAW", "MAW", "MAW", "MAW", "MAW", "MAW", "MAW", "MAW", "MAW", "MAW", "…

Usage

Arguments

Value

See also

Examples