cdmAmsIc implements the Clean Development Mechanism (CDM) small-scale methodology AMS-I.C Thermal energy production with or without electricity. The package follows tidyverse design principles and exposes equation-level helpers, applicability checks, and meta-calculation wrappers to reproduce emission reduction estimates for renewable thermal energy systems.
# install.packages("devtools")
devtools::install_github("independent-impact/GHG_methodologies/cdmAmsIc")library(cdmAmsIc)
applicable <- all(
check_applicability_thermal_capacity(capacity_mwth = 20),
check_applicability_renewable_supply(renewable_fraction = 0.85),
check_applicability_fossil_displacement(fossil_heat_share = 0.7)
)
if (applicable) {
thermal <- tibble::tibble(facility_id = 1, thermal_energy_mwh = 900)
baseline <- calculate_baseline_thermal_output(thermal)
emissions <- calculate_baseline_emissions(baseline, baseline_emission_factor = 0.25)
project <- calculate_project_emissions(baseline, project_emission_factor = 0.02)
emission_reductions <- calculate_emission_reductions(emissions, project)
}For a full walk-through see the vignette in vignettes/cdmAmsIc-methodology.Rmd.
Projects must satisfy core AMS-I.C requirements before emission reductions can be claimed. Use the package helpers to document each criterion:
check_applicability_thermal_capacity() – verifies the system remains under the 45 MWth small-scale threshold for Type I activities.check_applicability_renewable_supply() – confirms that renewable sources supply the majority of useful heat delivered by the system.check_applicability_fossil_displacement() – ensures the project displaces a meaningful share of fossil-fuel-derived thermal energy in the baseline scenario.cdmAmsIc translates the numbered equations from AMS-I.C into composable R functions:
| Equation | Function | Description |
|---|---|---|
| (1) | calculate_baseline_thermal_output() |
Sums useful thermal energy delivered during the baseline period. |
| (2) | calculate_baseline_emissions() |
Applies the baseline emission factor to thermal output to estimate displaced fossil emissions. |
| (3) | calculate_project_emissions() |
Estimates fossil emissions from auxiliary or backup heat use in the project scenario. |
| (4) | calculate_emission_reductions() |
Derives emission reductions by subtracting project emissions from baseline emissions. |
The meta-wrapper estimate_emission_reductions_ams_ic() chains these helpers together for tidyverse-friendly datasets.
aggregate_monitoring_periods() summarises measured data across reporting periods while preserving facility-level identifiers and emission factors.simulate_ams_ic_dataset() generates example datasets with monitoring metadata to support tests, demos, and onboarding.