Applicability checks for AMS-II.G

Helpers that evaluate key AMS-II.G applicability conditions covering efficiency improvements, non-renewable fraction bounds, and monitoring completeness.

check_applicability_efficiency_improvement_iig(
  baseline_data,
  project_data,
  consumption_col = "baseline_biomass_consumption_tonnes",
  fraction_col = "baseline_non_renewable_fraction",
  project_consumption_col = "project_biomass_consumption_tonnes",
  project_fraction_col = "project_non_renewable_fraction",
  tolerance = 0.2
)

check_applicability_fraction_bounds_iig(
  data,
  fraction_cols = c("baseline_non_renewable_fraction", "project_non_renewable_fraction")
)

check_applicability_monitoring_iig(
  monitoring_data,
  required_cols = c(
    "baseline_biomass_consumption_tonnes",
    "baseline_non_renewable_fraction",
    "baseline_net_calorific_value_mj_per_tonne",
    "baseline_emission_factor_tco2_per_mj",
    "project_biomass_consumption_tonnes",
    "project_non_renewable_fraction",
    "project_net_calorific_value_mj_per_tonne",
    "project_emission_factor_tco2_per_mj"
  )
)

Arguments

baseline_data

Tibble containing baseline biomass consumption and non-renewable fractions.

project_data

Tibble containing project biomass consumption and non-renewable fractions.

consumption_col

Column storing baseline biomass consumption.

fraction_col

Column storing the baseline non-renewable fraction.

project_consumption_col

Column storing project biomass consumption.

project_fraction_col

Column storing the project non-renewable fraction.

tolerance

Minimum fractional reduction in non-renewable biomass consumption required for applicability.

data

Tibble containing non-renewable fraction columns.

fraction_cols

Character vector of fraction column names that must lie within [0, 1].

monitoring_data

Tibble containing monitoring observations.

required_cols

Character vector of required monitoring columns.

Value

Logical scalars indicating whether each applicability condition is satisfied.

Examples

baseline <- tibble::tibble(
  baseline_biomass_consumption_tonnes = c(12, 14),
  baseline_non_renewable_fraction = c(0.85, 0.88)
)
project <- tibble::tibble(
  project_biomass_consumption_tonnes = c(7.2, 7.9),
  project_non_renewable_fraction = c(0.4, 0.38)
)
check_applicability_efficiency_improvement_iig(baseline, project)
#> [1] TRUE

monitoring <- tibble::tibble(
  baseline_biomass_consumption_tonnes = 12,
  baseline_non_renewable_fraction = 0.85,
  baseline_net_calorific_value_mj_per_tonne = 15.2,
  baseline_emission_factor_tco2_per_mj = 0.00009,
  project_biomass_consumption_tonnes = 7.4,
  project_non_renewable_fraction = 0.4,
  project_net_calorific_value_mj_per_tonne = 15.4,
  project_emission_factor_tco2_per_mj = 0.00009
)
check_applicability_monitoring_iig(monitoring)
#> [1] TRUE