AIIC AI Intelligence Centre

SOURCE-LINKED INTELLIGENCE

GWPathFinder: Projecting Fluorinated Gas Emission Pathways with GWP Insights for a Sustainable Future

CORDIS · observation · Publication date unknown

nerating a suite of regionally and sectorally disaggregated F-gas emission pathways, including baseline, Kigali-compliant, and ""outperforming Kigali"" scenarios. - Developing and validating a robust machine learning algorithm to predict GWP values for current and novel F-gases and their major degradation products, extending the scope of existing reports. - Enhancing two leading integrated assessment models, PROMETHEUS and TIAM-ECN, to meticulously capture interactions between F-gas mitigation and energy system decarbonization, including the deployment of HFC alternatives in sectors like refrigeration, air conditioning, and heat pumps (RACHP). - Designing and publicly launching the user-friendly GWPathFinder online platform, which will integrate the GWP prediction tool and mitigation scenarios. This tool will function as an interactive decision-support system, enabling users to test different policy assumptions. - Ensuring all research outputs, including data and models, are managed according to FAIR (Findable, Accessible, Interoperable, Reusable) and Open Science principles. The pro

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recordType
award
status
SIGNED
region
EU
value
2897568.89
unit
EUR

Evidence & attribution

European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.

License: CORDIS reuse policy

First collected: 2026-09-20T05:31:32.981Z. This is not the publication date.