This function specifies electricity and heat production flows (i.e. positive flows in the transformation processes flow aggregation point) that are not yet specified by calling the energy product respectively "Electricity [from Other processes] and "Heat [from Other processes].

specify_other_elec_heat_production(
  .tidy_iea_df,
  flow_aggregation_point = IEATools::iea_cols$flow_aggregation_point,
  flow = IEATools::iea_cols$flow,
  e_dot = IEATools::iea_cols$e_dot,
  product = IEATools::iea_cols$product,
  transformation_processes = IEATools::aggregation_flows$transformation_processes,
  negzeropos = ".negzeropos"
)

Arguments

.tidy_iea_df

The .tidy_iea_df for which non-specified electricity and heat production flows need to be specified.

flow_aggregation_point, flow, e_dot, product

See IEATools::iea_cols.

transformation_processes

The name of the transformation processes in the flow aggregation point column. Default is IEATools::aggregation_flows$transformation_processes.

negzeropos

Temporary column name. Default is ".netzeropos".

Value

Returns a tidy data frame with all electricity and heat production flows specified (products are specified).

Examples

A_B_path <- system.file("extdata/A_B_data_full_2018_format.csv", package = "ECCTools")
IEATools::load_tidy_iea_df(A_B_path) %>%
IEATools::specify_all() %>%
tibble::add_row(
Country = "A",
Method = "PCM",
Energy.type = "E",
Last.stage = "Final",
Year = 2018,
Ledger.side = "Supply",
Unit = "ktoe",
Flow.aggregation.point = "Transformation processes",
Flow = "Heat pumps",
Product = "Heat",
E.dot = 82) %>%
specify_other_elec_heat_production()
#> # A tibble: 103 × 11
#>    Country Method Energy.type Last.stage  Year Ledger.side
#>    <chr>   <chr>  <chr>       <chr>      <dbl> <chr>      
#>  1 A       PCM    E           Final       2018 Consumption
#>  2 A       PCM    E           Final       2018 Consumption
#>  3 A       PCM    E           Final       2018 Consumption
#>  4 A       PCM    E           Final       2018 Consumption
#>  5 A       PCM    E           Final       2018 Consumption
#>  6 A       PCM    E           Final       2018 Consumption
#>  7 A       PCM    E           Final       2018 Consumption
#>  8 A       PCM    E           Final       2018 Consumption
#>  9 A       PCM    E           Final       2018 Consumption
#> 10 A       PCM    E           Final       2018 Consumption
#> # ℹ 93 more rows
#> # ℹ 5 more variables: Flow.aggregation.point <chr>, Flow <chr>, Product <chr>,
#> #   Unit <chr>, E.dot <dbl>