A practical method for identifying inconsistent climate hazard scores through coherence checks between related hazards, improving the reliability of renewable energy CCRAs.
Climate Change Risk Assessments (CCRAs) are increasingly required for renewable energy projects seeking international finance. Yet most frameworks score hazards independently, although climate risks arise through interacting processes. This can produce physically inconsistent conclusions, such as high risk from extreme precipitation but negligible flood risk, which may pass unnoticed into lender documentation.
This poster presents a structured method for integrating hazard interdependencies into project-level CCRAs. Drawing on compound-event science and the EU Taxonomy hazard classification, it introduces coherence rules for related hazards, including precipitation and flooding, heat and drought, and wind and storms. The rules test whether assigned scores are mutually plausible and flag contradictory combinations before they enter the final risk matrix. Applied to onshore wind farm CCRAs prepared for international financing in Eastern Europe, the method identified inconsistencies missed by conventional hazard-by-hazard screening. It functions as an auditable quality-assurance layer rather than a replacement for existing frameworks, strengthening the scientific coherence, traceability and defensibility of assessment outcomes. The poster demonstrates the interdependency logic, the coherence rules and their practical application. The approach is transferable across renewable energy and infrastructure projects and supports more reliable climate-proofing, lender due diligence and adaptation decision-making.
Environmental consultant specialising in climate risk assessment, climate-proofing, EIA/ESIA and sustainable infrastructure projects supporting IFI-financed developments.