Monitoring aggregation and total emission reductions for ACM0008

Wrappers that aggregate monitoring records and calculate total baseline, project, leakage, and net emission reductions for coal mine methane projects.

aggregate_monitoring_periods_acm0008(monitoring_data)

estimate_emission_reductions_acm0008(monitoring_data)

Arguments

monitoring_data

Tibble or data frame containing the monitoring variables required by the ACM0008 helpers.

Value

Tibbles summarising period-level or total emission accounting results.

Examples

data <- simulate_acm0008_dataset(2, observations_per_period = 5, seed = 21)
aggregate_monitoring_periods_acm0008(data)
#> # A tibble: 2 × 12
#>   period flow_rate_m3_per_h operating_hours methane_fraction
#>   <chr>               <dbl>           <dbl>            <dbl>
#> 1 P01                  507.             720            0.371
#> 2 P02                  503.             720            0.352
#> # ℹ 8 more variables: oxidation_efficiency <dbl>, electricity_use_mwh <dbl>,
#> #   grid_emission_factor_t_per_mwh <dbl>, recovered_volume_m3 <dbl>,
#> #   baseline_emissions <dbl>, project_emissions <dbl>, leakage_emissions <dbl>,
#> #   net_emission_reductions <dbl>
estimate_emission_reductions_acm0008(data)
#> # A tibble: 1 × 5
#>   total_recovered_volume_m3 total_baseline_emissions total_project_emissions
#>                       <dbl>                    <dbl>                   <dbl>
#> 1                   727548.                    5264.                    187.
#> # ℹ 2 more variables: total_leakage_emissions <dbl>,
#> #   total_net_emission_reductions <dbl>