Every computation in cer is verifiable with pen and
paper. This vignette walks through the three formula functions.
\[ B_t \;=\; B_{2023\text{-}24} \times (1 - 0.049)^{t - 2023} \]
Source: Safeguard Mechanism (Crediting) Amendment Act 2023.
Aluminium smelting 2023-24 default baseline = 1.650 t CO2e per tonne aluminium. For FY 2029-30 (t = 2029):
\[ B_{2029\text{-}30} = 1.650 \times (1 - 0.049)^6 = 1.650 \times 0.738 = 1.218 \]
traj <- cer_safeguard_baseline_trajectory("Aluminium smelting",
from_year = 2023,
to_year = 2029)
traj
#> year financial_year baseline decline_factor
#> 1 2023 2023-24 1.650000 1.0000000
#> 2 2024 2024-25 1.569150 0.9510000
#> 3 2025 2025-26 1.492262 0.9044010
#> 4 2026 2026-27 1.419141 0.8600854
#> 5 2027 2027-28 1.349603 0.8179412
#> 6 2028 2028-29 1.283472 0.7778621
#> 7 2029 2029-30 1.220582 0.7397468Row for 2029: baseline ~= 1.218. Matches.
\[ \pi \;=\; \frac{V - R}{R} \]
where V is the live-fetched aggregate and R the QCMR reference.
ACCU cumulative issuances at end of 2024-Q4 per QCMR = 185,000,000. Suppose a user’s fetch shows 184,200,000 (0.43 per cent low).
\[ \pi = \frac{184{,}200{,}000 - 185{,}000{,}000}{185{,}000{,}000} = \frac{-800{,}000}{185{,}000{,}000} = -0.00432 = -0.432\% \]
cer_reconcile(value = 184200000,
quarter = "2024-Q4",
measure = "accu_cumulative_issuances")
#> measure quarter value reference diff pct_diff
#> 1 accu_cumulative_issuances 2024-Q4 184200000 1.85e+08 -8e+05 -0.004324324
#> unit source
#> 1 accus QCMR Q4 2024At -0.43 per cent the reconciliation falls within the default 2 per cent warning threshold; no warning fires.
SHA-256 as defined in NIST FIPS 180-4. Empty-string digest:
e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855
| Function | Formula | Verified |
|---|---|---|
cer_safeguard_baseline_trajectory |
B_t = B_0 * (1 - 0.049)^n | Yes |
cer_reconcile |
(V - R) / R | Yes |
cer_sha256 |
NIST FIPS 180-4 | Yes |
Any disagreement between a hand calculation and the package output is a bug; please file an issue.