SOURCE-LINKED INTELLIGENCE
GWPathFinder: Projecting Fluorinated Gas Emission Pathways with GWP Insights for a Sustainable Future
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.