cdmAmsIe implements the Clean Development Mechanism (CDM) small-scale methodology AMS-I.E Switch from non-renewable biomass for thermal applications by the user. 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 technologies.
# install.packages("devtools")
devtools::install_github("independent-impact/GHG_methodologies/cdmAmsIe")library(cdmAmsIe)
applicable <- all(
check_applicability_capacity_limit(thermal_capacity_mw = 20),
check_applicability_non_renewable_fraction(c(0.8, 0.85)),
check_applicability_project_renewable_fraction(renewable_fraction = 0.95)
)
if (applicable) {
monitoring <- tibble::tibble(
site_id = c("cook-1", "cook-1", "cook-2"),
biomass_consumption_tonnes = c(10, 8, 12),
non_renewable_fraction = c(0.85, 0.8, 0.9),
project_energy_mj = c(100, 120, 130)
)
emission_reductions <- estimate_emission_reductions_ams_ie(
monitoring,
group_cols = "site_id",
ncv = 15,
emission_factor = 0.0001,
project_energy_col = "project_energy_mj",
project_emission_factor = 0.00009
)
}For a full walk-through see the vignette in vignettes/cdmAmsIe-methodology.Rmd.
Projects must satisfy core AMS-I.E requirements before emission reductions can be claimed. Use the package helpers to document each criterion:
check_applicability_capacity_limit() – enforces the 45 MWth Type I capacity threshold for renewable thermal activities.check_applicability_non_renewable_fraction() – validates that the baseline biomass contains a demonstrable non-renewable share.check_applicability_project_renewable_fraction() – confirms the project technology relies predominantly on renewable energy.cdmAmsIe translates the numbered equations from AMS-I.E into composable R functions:
| Equation | Function | Description |
|---|---|---|
| (1) | calculate_non_renewable_biomass() |
Applies the non-renewable fraction to baseline biomass consumption. |
| (2) | calculate_baseline_energy_content() |
Converts non-renewable biomass into thermal energy using the NCV. |
| (3) | calculate_baseline_emissions() |
Multiplies baseline energy by the baseline emission factor. |
| (4) | calculate_project_emissions() |
Converts residual fossil energy into project emissions. |
| (5) | calculate_emission_reductions() |
Derives emission reductions by subtracting project emissions from baseline emissions. |
The meta-wrapper estimate_emission_reductions_ams_ie() chains these helpers together for tidyverse-friendly datasets.
aggregate_monitoring_periods() summarises measured data across reporting periods while preserving entity identifiers and emission factors.simulate_ams_ie_dataset() generates example datasets with monitoring metadata to support tests, demos, and onboarding.