simulate_ams_ij_dataset.RdGenerates a tidy dataset representing useful thermal output, auxiliary energy, and emission outcomes for solar water heating systems.
simulate_ams_ij_dataset(
n_sites = 10,
n_periods = 12,
start_year = 2023,
start_month = 1,
mean_useful_heat_mwh = 360,
sd_useful_heat_mwh = 55,
baseline_emission_factor = 0.22,
auxiliary_emission_factor = 0.18,
mean_auxiliary_share = 0.15,
sd_auxiliary_share = 0.05
)Number of solar water heating sites to simulate.
Number of monitoring periods per site.
Calendar year for the first monitoring period.
Calendar month for the first monitoring period.
Mean annual useful thermal output per site in MWhth.
Standard deviation of annual useful thermal output in MWhth.
Baseline emission factor in tCO2e/MWhth.
Auxiliary system emission factor in tCO2e/MWhth.
Mean share of auxiliary energy relative to useful solar heat.
Standard deviation of the auxiliary share.
A tibble containing monitoring metadata, useful thermal output, auxiliary energy, and emission outcomes.
simulate_ams_ij_dataset(n_sites = 3)
#> # A tibble: 36 × 15
#> site_id monitoring_period year month day monitoring_date monitoring_label
#> <chr> <int> <dbl> <dbl> <int> <date> <chr>
#> 1 site_1 1 2023 1 4 2023-01-04 2023-01
#> 2 site_1 2 2023 2 16 2023-02-16 2023-02
#> 3 site_1 3 2023 3 2 2023-03-02 2023-03
#> 4 site_1 4 2023 4 3 2023-04-03 2023-04
#> 5 site_1 5 2023 5 25 2023-05-25 2023-05
#> 6 site_1 6 2023 6 22 2023-06-22 2023-06
#> 7 site_1 7 2023 7 11 2023-07-11 2023-07
#> 8 site_1 8 2023 8 7 2023-08-07 2023-08
#> 9 site_1 9 2023 9 21 2023-09-21 2023-09
#> 10 site_1 10 2023 10 6 2023-10-06 2023-10
#> # ℹ 26 more rows
#> # ℹ 8 more variables: useful_heat_mwh <dbl>, auxiliary_energy_mwh <dbl>,
#> # baseline_emission_factor <dbl>, auxiliary_emission_factor <dbl>,
#> # baseline_emissions_tco2e <dbl>, project_emissions_tco2e <dbl>,
#> # emission_reductions_tco2e <dbl>, solar_fraction <dbl>