TUIK RUCH LEW IMPROVED COOKSTOVE PROJECT FOR LAKE ATITLAN

Integrity

The project has some positive integrity signals: the verification report says additionality was confirmed by the VVB, and the project used a barrier test. However, the same report lists many findings, including missing annexes, weak stakeholder identification, unclear consultation processes, and mitigation gaps for local vendors, which undermines confidence in the project’s overall robustness.

Transparency

Transparency is mixed. The verifier is named as AENOR and the monitoring period is stated, but the extracted record has low extraction confidence and the total credits claimed are not found in the available data. The documentation also appears incomplete, with only one evidence document clearly identified in the extracted record.

Claim Safety

Claim safety is moderate at best. The project applies a quantified leakage deduction of 5% and uses a local field method for the non-renewable biomass fraction, which is better than relying only on defaults. Still, the contradiction showing an earlier 95% leakage figure versus the later 5% value, plus CORSIA eligibility being true, keeps over-crediting and dual-claim risk elevated.

Documentation

Documentation quality is weak. The record shows low extraction confidence, and the verification report itself required multiple clarification requests and corrective actions. Positive items such as FPIC, grievance mechanism, and benefit sharing are mentioned, but several key details are either not stated or were inconsistent across documents.

Overall

The project has a credible core on paper, especially because the VVB confirmed additionality and leakage was quantified, but the evidence base is not clean. I privileged the later verification-report values over earlier conflicting entries for leakage, FPIC, benefit sharing, and additionality framing because they are more recent and appear closer to the final validation/verification record; however, the contradictions still reduce reliability. The many findings, low extraction confidence, and incomplete documentation justify a cautious mid-range score.