Implements Equation (2) of AMS-II.F by converting monitored project fuel and electricity consumption into emissions. Inputs mirror [calculate_baseline_agricultural_emissions()] to streamline workflows. agricultural facility. in tCO2e per GJ. MWh. emission factors in tCO2e per MWh. tCO2e. Defaults to `"project_emissions_tco2e"`. grouping structure.

calculate_project_agricultural_emissions(project_data,
                                                     fuel_energy_col = "project_fuel_energy_gj",
                                                     fuel_emission_factor_col = "project_fuel_emission_factor_tco2_per_gj",
                                                     electricity_col = "project_electricity_mwh",
                                                     electricity_emission_factor_col = "project_electricity_emission_factor_tco2_per_mwh",
                                                     group_cols = NULL,
                                                     output_col = "project_emissions_tco2e")

Arguments

project_data

Tidy tibble describing project energy use for the

fuel_energy_col

Column containing project fuel energy in GJ.

fuel_emission_factor_col

Column storing project fuel emission factors

electricity_col

Column containing project electricity consumption in

electricity_emission_factor_col

Column storing project electricity

group_cols

Optional grouping columns for the output.

output_col

Name of the column that will contain project emissions in

Value

A tibble containing project emissions aggregated by the requested

Examples

project <- tibble::tibble(
  facility_id = c("rice_mill_1", "rice_mill_2"),
  project_fuel_energy_gj = c(520, 640),
  project_fuel_emission_factor_tco2_per_gj = c(0.028, 0.031),
  project_electricity_mwh = c(145, 163),
  project_electricity_emission_factor_tco2_per_mwh = c(0.62, 0.58)
)
calculate_project_agricultural_emissions(project, group_cols = "facility_id")
#> # A tibble: 2 × 2
#>   facility_id project_emissions_tco2e
#>   <chr>                         <dbl>
#> 1 rice_mill_1                    104.
#> 2 rice_mill_2                    114.