Simulate monitoring data for AMS-III.H projects

Generates synthetic wastewater monitoring datasets consistent with the AMS-III.H helper functions.

simulate_ams_iiih_dataset(n_sites = 3, n_periods = 4, seed = NULL)

Arguments

n_sites

Number of wastewater facilities to simulate.

n_periods

Number of monitoring periods per facility.

seed

Optional seed for reproducibility.

Value

List containing tibbles baseline, project, leakage, and applicability.

Examples

simulate_ams_iiih_dataset(n_sites = 2, n_periods = 3, seed = 2025)
#> $baseline
#> # A tibble: 6 × 8
#>   site_id period influent_flow_m3_per_day cod_mg_l biodegradable_fraction
#>   <chr>    <int>                    <dbl>    <dbl>                  <dbl>
#> 1 WW1          1                    5064.    4297.                  0.781
#> 2 WW1          2                    4165.    2756.                  0.655
#> 3 WW1          3                    4300.    3789.                  0.744
#> 4 WW2          1                    4245.    3639.                  0.821
#> 5 WW2          2                    5231.    3371.                  0.723
#> 6 WW2          3                    4265.    4405.                  0.723
#> # ℹ 3 more variables: baseline_capture_efficiency_fraction <dbl>,
#> #   baseline_oxidation_fraction <dbl>, days_in_period <dbl>
#> 
#> $project
#> # A tibble: 6 × 14
#>   site_id period influent_flow_m3_per_day cod_mg_l biodegradable_fraction
#>   <chr>    <int>                    <dbl>    <dbl>                  <dbl>
#> 1 WW1          1                    5064.    4297.                  0.781
#> 2 WW1          2                    4165.    2756.                  0.655
#> 3 WW1          3                    4300.    3789.                  0.744
#> 4 WW2          1                    4245.    3639.                  0.821
#> 5 WW2          2                    5231.    3371.                  0.723
#> 6 WW2          3                    4265.    4405.                  0.723
#> # ℹ 9 more variables: project_capture_efficiency_fraction <dbl>,
#> #   destruction_efficiency_fraction <dbl>, project_oxidation_fraction <dbl>,
#> #   fugitive_leakage_fraction <dbl>, days_in_period <dbl>,
#> #   electricity_consumption_mwh <dbl>, electricity_ef_tco2_per_mwh <dbl>,
#> #   thermal_energy_consumption_gj <dbl>, thermal_energy_ef_tco2_per_gj <dbl>
#> 
#> $leakage
#> # A tibble: 6 × 10
#>   site_id period sludge_tonnes transport_distance_km transport_ef_tco2_per_tkm
#>   <chr>    <int>         <dbl>                 <dbl>                     <dbl>
#> 1 WW1          1          276.                  40.5                 0.000120 
#> 2 WW1          2          298.                  43.1                 0.000120 
#> 3 WW1          3          301.                  21.5                 0.000115 
#> 4 WW2          1          254.                  41.7                 0.0000935
#> 5 WW2          2          218.                  29.3                 0.000112 
#> 6 WW2          3          345.                  33.2                 0.000128 
#> # ℹ 5 more variables: sludge_treatment_ef_tco2_per_tonne <dbl>,
#> #   chemical_usage_tonnes <dbl>, chemical_ef_tco2_per_tonne <dbl>,
#> #   displaced_fossil_fuel_gj <dbl>, displaced_fossil_fuel_ef_tco2_per_gj <dbl>
#> 
#> $applicability
#> # A tibble: 2 × 14
#>   site_id wastewater_type cod_mg_l anaerobic_fraction baseline_system         
#>   <chr>   <chr>              <dbl>              <dbl> <chr>                   
#> 1 WW1     agro-industrial    3781.              0.504 open anaerobic lagoon   
#> 2 WW2     industrial         4688.              0.586 covered anaerobic lagoon
#> # ℹ 9 more variables: gas_capture_installed <lgl>,
#> #   destruction_technology <chr>, operating_hours_per_week <dbl>,
#> #   redundancy_installed <lgl>, utilisation_documented <lgl>,
#> #   flow_measurements_per_week <int>, methane_measurements_per_week <int>,
#> #   cod_samples_per_month <int>, calibration_events_per_year <int>
#>