calculate_project_emissions_iiig.RdConvert project monitoring data into methane emissions that remain after collection, destruction, and oxidation while including optional energy inputs for landfill gas management systems.
calculate_project_emissions_iiig(
data,
waste_disposed_col = "waste_disposed_tonnes",
methane_generation_potential_col = "methane_generation_potential_m3_per_tonne",
project_collection_efficiency_col = "project_collection_efficiency_fraction",
destruction_efficiency_col = "destruction_efficiency_fraction",
project_oxidation_fraction_col = "oxidation_fraction",
days_col = NULL,
electricity_consumption_col = "electricity_consumption_mwh",
electricity_emission_factor_col = "electricity_ef_tco2_per_mwh",
diesel_consumption_col = "diesel_consumption_litres",
diesel_emission_factor_col = "diesel_ef_tco2_per_litre",
group_cols = NULL,
output_col = "project_emissions_tco2e",
methane_density_t_per_m3 = 0.00067,
gwp_ch4 = 28
)Tibble containing project monitoring data.
Column storing waste disposed in tonnes.
Column storing methane generation potential in cubic metres per tonne of waste.
Column storing the project methane collection efficiency.
Column storing flare or utilisation system destruction efficiency.
Optional column storing the oxidation fraction for uncaptured methane.
Optional column storing the number of days represented by each record.
Optional column storing electricity use in MWh.
Optional column storing grid emission factors in tCO2 per MWh.
Optional column storing diesel use in litres.
Optional column storing diesel emission factors in tCO2 per litre.
Optional character vector specifying grouping columns.
Name of the output column for project emissions in tCO2e.
Density of methane in tonnes per cubic metre.
Global warming potential of methane.
Tibble containing grouped project emissions in tCO2e.
project <- tibble::tibble(
site_id = c("LF1", "LF2"),
waste_disposed_tonnes = c(12000, 9000),
methane_generation_potential_m3_per_tonne = c(90, 85),
project_collection_efficiency_fraction = c(0.65, 0.6),
destruction_efficiency_fraction = c(0.98, 0.96),
oxidation_fraction = c(0.1, 0.08)
)
calculate_project_emissions_iiig(project, group_cols = "site_id")
#> Error in dplyr::mutate(data_tbl, .days = if (!is.null(days_col)) .data[[days_col]] else 1, .generated_m3 = .data[[waste_disposed_col]] * .data[[methane_generation_potential_col]] * .days, .captured_m3 = .generated_m3 * .data[[project_collection_efficiency_col]], .destroyed_m3 = .captured_m3 * .data[[destruction_efficiency_col]], .oxidised_m3 = if (!is.null(project_oxidation_fraction_col)) { (.generated_m3 - .captured_m3) * .data[[project_oxidation_fraction_col]] } else { 0 }, .residual_m3 = pmax(.generated_m3 - .destroyed_m3 - .oxidised_m3, 0), .methane_component = .residual_m3 * methane_density_t_per_m3 * gwp_ch4, .electricity_component = if (!is.null(electricity_consumption_col) && !is.null(electricity_emission_factor_col)) { .data[[electricity_consumption_col]] * .data[[electricity_emission_factor_col]] } else { 0 }, .diesel_component = if (!is.null(diesel_consumption_col) && !is.null(diesel_emission_factor_col)) { .data[[diesel_consumption_col]] * .data[[diesel_emission_factor_col]] } else { 0 }, .project_component = .methane_component + .electricity_component + .diesel_component): ℹ In argument: `.electricity_component = if (...) NULL`.
#> Caused by error in `.data[["electricity_consumption_mwh"]]`:
#> ! Column `electricity_consumption_mwh` not found in `.data`.