simulate_ams_iic_dataset.RdGenerates tidy monitoring data for demand-side energy efficiency projects covered by AMS-II.C.
simulate_ams_iic_dataset(
n_sites = 10,
n_periods = 12,
start_year = 2023,
start_month = 1,
mean_baseline_mwh = 1800,
sd_baseline_mwh = 260,
savings_fraction = 0.35,
emission_factor_tco2e_mwh = 0.68
)Number of project sites to simulate.
Number of monitoring periods per site.
Calendar year for the first monitoring period.
Calendar month (1-12) for the first monitoring period.
Mean annual baseline energy consumption per site in MWh.
Standard deviation of baseline energy consumption in MWh.
Expected fractional reduction in energy use from the project technology (0-1).
Emission factor applied to the energy savings.
A tibble with site identifiers, monitoring metadata, baseline energy, project energy, emission factors, and technology labels.
simulate_ams_iic_dataset(n_sites = 4)
#> # A tibble: 48 × 11
#> site_id monitoring_period year month day monitoring_date monitoring_label
#> <chr> <int> <dbl> <dbl> <int> <date> <chr>
#> 1 site_01 1 2023 1 2 2023-01-02 2023-01
#> 2 site_01 2 2023 2 17 2023-02-17 2023-02
#> 3 site_01 3 2023 3 20 2023-03-20 2023-03
#> 4 site_01 4 2023 4 24 2023-04-24 2023-04
#> 5 site_01 5 2023 5 22 2023-05-22 2023-05
#> 6 site_01 6 2023 6 1 2023-06-01 2023-06
#> 7 site_01 7 2023 7 6 2023-07-06 2023-07
#> 8 site_01 8 2023 8 2 2023-08-02 2023-08
#> 9 site_01 9 2023 9 19 2023-09-19 2023-09
#> 10 site_01 10 2023 10 14 2023-10-14 2023-10
#> # ℹ 38 more rows
#> # ℹ 4 more variables: baseline_energy_mwh <dbl>, project_energy_mwh <dbl>,
#> # emission_factor_tco2e_mwh <dbl>, technology <chr>