Aggregate monitoring periods for AMS-I.E

Summarise monitoring data across reporting periods using the AMS-I.E calculation helpers.

aggregate_monitoring_periods(biomass_data, monitoring_cols = c("year", "month"),
  group_cols = "user_id", consumption_col = "biomass_consumption_tonnes",
  fraction_col = "non_renewable_fraction", ncv_col = "net_calorific_value",
  emission_factor_col = "emission_factor", project_energy_col = "project_energy_mj",
  project_emission_factor_col = NULL, project_emission_factor = 0)

Arguments

biomass_data

Tibble containing monitoring observations.

monitoring_cols

Columns defining a monitoring period.

group_cols

Columns identifying entities.

consumption_col

Column storing biomass consumption.

fraction_col

Column storing the non-renewable fraction.

ncv_col

Column storing the net calorific value in MJ per unit biomass.

emission_factor_col

Column containing the baseline emission factor.

project_energy_col

Column containing project fossil energy in MJ.

project_emission_factor_col

Optional column containing project emission factors in tCO2e/MJ.

project_emission_factor

Default project emission factor when a dedicated column is not supplied.

Value

A tibble with non-renewable biomass, baseline energy, baseline emissions, project emissions, and emission reductions for each entity and monitoring period.

Examples

monitoring <- simulate_ams_ie_dataset(n_users = 2, n_periods = 3, seed = 123)
aggregate_monitoring_periods(monitoring)
#> Error: `useful_energy_col` must be present in `thermal_data`.