Applicability checks for AMS-II.H

Helpers that verify the key applicability conditions for AMS-II.H projects, including centralization scope, monitoring completeness, and efficiency improvement requirements.

check_applicability_centralization_scope_iih(
  baseline_summary,
  project_summary,
  utility_col = "utility_service",
  baseline_unit_col = "baseline_unit_count",
  project_unit_col = "project_unit_count"
)

check_applicability_monitoring_iih(
  monitoring_data,
  required_cols = c(
    "baseline_fuel_use_gj",
    "baseline_emission_factor_tco2_per_gj",
    "project_fuel_use_gj",
    "project_emission_factor_tco2_per_gj"
  )
)

check_applicability_efficiency_improvement_iih(
  baseline_data,
  project_data,
  group_cols = NULL,
  baseline_fuel_col = "baseline_fuel_use_gj",
  baseline_output_col = "baseline_useful_output_gj",
  project_fuel_col = "project_fuel_use_gj",
  project_output_col = "project_useful_output_gj",
  minimum_improvement = 0.05
)

Arguments

baseline_summary

Tibble describing the decentralized baseline system.

project_summary

Tibble describing the centralized project system.

utility_col

Column identifying the utility service.

baseline_unit_col

Column storing the number of decentralized units in the baseline.

project_unit_col

Column storing the number of centralized units in the project scenario.

monitoring_data

Tibble containing combined baseline and project monitoring data.

required_cols

Character vector of columns that must exist with no missing values.

baseline_data

Tibble containing baseline monitoring data.

project_data

Tibble containing project monitoring data.

group_cols

Optional character vector of grouping columns shared across the datasets.

baseline_fuel_col

Column storing baseline fuel use (GJ).

baseline_output_col

Column storing baseline useful output (GJ).

project_fuel_col

Column storing project fuel use (GJ).

project_output_col

Column storing project useful output (GJ).

minimum_improvement

Minimum fractional improvement required for applicability.

Value

Logical scalars indicating whether each applicability criterion is satisfied.

Examples

baseline <- tibble::tibble(
  utility_service = c("steam", "hot_water"),
  baseline_unit_count = c(4, 3)
)
project <- tibble::tibble(
  utility_service = c("steam", "hot_water"),
  project_unit_count = c(1, 1)
)
check_applicability_centralization_scope_iih(baseline, project)
#> [1] TRUE

monitoring <- tibble::tibble(
  baseline_fuel_use_gj = 4200,
  baseline_emission_factor_tco2_per_gj = 0.071,
  project_fuel_use_gj = 3000,
  project_emission_factor_tco2_per_gj = 0.068
)
check_applicability_monitoring_iih(monitoring)
#> [1] TRUE

efficiency <- check_applicability_efficiency_improvement_iih(
  baseline_data = tibble::tibble(
    facility = c("A", "B"),
    baseline_fuel_use_gj = c(4200, 3150),
    baseline_useful_output_gj = c(3600, 2700)
  ),
  project_data = tibble::tibble(
    facility = c("A", "B"),
    project_fuel_use_gj = c(3000, 2250),
    project_useful_output_gj = c(2880, 2160)
  ),
  group_cols = "facility",
  minimum_improvement = 0.05
)