Simulate an AMS-I.E monitoring dataset

Generate a tidy tibble with synthetic monitoring data for AMS-I.E activities.

simulate_ams_ie_dataset(n_users = 3, n_periods = 4, start_year = 2024, seed = NULL)

Arguments

n_users

Number of unique users or project sites.

n_periods

Number of monitoring periods per user.

start_year

Starting calendar year for the simulation.

seed

Optional random seed for reproducibility.

Value

A tibble containing user identifiers, monitoring periods, biomass consumption, non-renewable fractions, emission factors, and project energy data.

Examples

simulate_ams_ie_dataset(n_users = 2, n_periods = 3, seed = 42)
#> # A tibble: 6 × 9
#>   user_id  year month biomass_consumption_tonnes non_renewable_fraction
#>   <chr>   <dbl> <int>                      <dbl>                  <dbl>
#> 1 user-1   2024     1                      13.9                   0.928
#> 2 user-2   2024     1                      12.1                   0.791
#> 3 user-1   2025     5                       9.79                  0.858
#> 4 user-2   2025     5                      13.1                   0.796
#> 5 user-1   2026     1                      13.2                   0.931
#> 6 user-2   2026     1                      10.7                   0.852
#> # ℹ 4 more variables: net_calorific_value <dbl>, emission_factor <dbl>,
#> #   project_energy_mj <dbl>, project_emission_factor <dbl>