11 MW Biomass based power supply to grid in Uttar Pradesh
#139of 196 in Biomass#149of 421 in Universal Carbon Registry (UCR)#25of 53 in ACM0006
Audit Analysis
This 11 MW biomass power project in Uttar Pradesh, India, is registered under the UCR registry using CDM methodology ACM0006 v16.0 with a jurisdictional baseline and a claimed 31,126 tCO₂e over a 10-year crediting period. However, the evidence base is extremely thin — only a single PDD (dated January 2023, after the crediting period ended) is available, with no verification report, no monitoring data, no named VVB, and no verified emissions reductions. The project's core design elements (jurisdictional baseline, grid emission factor of 0.9 tCO₂/MWh) are reasonable, but the absence of independent verification and monitoring data makes it impossible to confirm that claimed reductions were actually achieved.
Red Flags
- No verification/validation report or monitoring report is present in the evidence set; only a PDD is available, making it impossible to confirm that claimed reductions were independently verified
- No Verification and Validation Body (VVB) is named in any available document, and additionality is neither specified by test type nor confirmed by a VVB
- The PDD is dated 30 January 2023, which is after the crediting period ended on 31 December 2022 — an unusual sequencing that raises questions about the registration timeline
- No CORSIA eligibility or CCP approval status is stated, leaving dual-channel or double-claiming risk unassessed
- No FPIC, grievance mechanism, or benefit-sharing details beyond a general mention of safeguards are documented
Credit Vintages
Issuance data not yet available — check back soon.
Risk Indicators
Test type unspecified; no VVB confirmation found
No buffer pool; low inherent risk for biomass power but unad
0% deduction with 'quantified' justification — internally in
Jurisdictional method with stated grid EF; no reassessment d
Safeguards mentioned; no FPIC or grievance mechanism documen
CORSIA and CCP status both unstated; dual-channel risk unass
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