AMS-II.D stipulates specific monitoring parameters, including records of fuel consumption, equipment utilisation, and thermal output.

check_applicability_monitoring(
  monitoring_data,
  required_cols = c("project_fuel_quantity", "project_efficiency", "useful_heat_output")
)

Arguments

monitoring_data

Tibble containing monitoring records.

required_cols

Character vector of columns that must be present.

Value

Logical scalar indicating whether the monitoring dataset meets the minimum completeness requirements.

Examples

monitoring <- tibble::tibble(
  unit = "Kiln",
  project_fuel_quantity = 80,
  project_efficiency = 0.84,
  useful_heat_output = 60
)
check_applicability_monitoring(monitoring, required_cols = c("project_fuel_quantity", "project_efficiency"))
#> [1] TRUE