cdmAmsId implements the Clean Development Mechanism (CDM) small-scale methodology AMS-I.D Renewable electricity generation for a mini-grid. The package follows tidyverse design principles and exposes equation-level helpers, applicability checks, and meta-calculation wrappers to reproduce emission reduction estimates for renewable captive grids.
# install.packages("devtools")
devtools::install_github("independent-impact/GHG_methodologies/cdmAmsId")library(cdmAmsId)
applicable <- all(
check_applicability_mini_grid_capacity(capacity_kw = 12000),
check_applicability_renewable_penetration(renewable_fraction = 0.8),
check_applicability_baseline_fossil_share(baseline_fossil_share = 0.7)
)
if (applicable) {
supply <- tibble::tibble(grid_id = 1, electricity_mwh = 950)
baseline <- calculate_baseline_electricity_supply(supply)
emissions <- calculate_baseline_emissions(baseline, baseline_emission_factor = 0.7)
project <- calculate_project_emissions(baseline, project_emission_factor = 0.05)
emission_reductions <- calculate_emission_reductions(emissions, project)
}For a full walk-through see the vignette in vignettes/cdmAmsId-methodology.Rmd.
Projects must satisfy core AMS-I.D requirements before emission reductions can be claimed. Use the package helpers to document each criterion:
check_applicability_mini_grid_capacity() – verifies the system remains under the 15 MW small-scale threshold for Type I activities.check_applicability_renewable_penetration() – confirms that renewable resources supply the majority of electricity delivered to the mini-grid.check_applicability_baseline_fossil_share() – ensures the project displaces a meaningful share of fossil-based electricity in the baseline scenario.cdmAmsId translates the numbered equations from AMS-I.D into composable R functions:
| Equation | Function | Description |
|---|---|---|
| (1) | calculate_baseline_electricity_supply() |
Sums electricity delivered to the mini-grid during the baseline period. |
| (2) | calculate_baseline_emissions() |
Applies the baseline emission factor to estimate displaced fossil electricity. |
| (3) | calculate_project_emissions() |
Estimates project emissions from auxiliary fossil generation. |
| (4) | calculate_emission_reductions() |
Derives emission reductions by subtracting project emissions from baseline emissions. |
The meta-wrapper estimate_emission_reductions_ams_id() chains these helpers together for tidyverse-friendly datasets.
aggregate_monitoring_periods() summarises measured data across reporting periods while preserving grid-level identifiers and emission factors.simulate_ams_id_dataset() generates example datasets with monitoring metadata to support tests, demos, and onboarding.