Posters | WindEurope Annual Event 2026

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We would like to invite you to come and see the posters at our upcoming conference. The posters will showcase a diverse range of research topics, and will give delegates an opportunity to engage with the authors and learn more about their work. Whether you are a seasoned researcher or simply curious about the latest developments in your field, we believe that the posters will offer something of interest to everyone. So please join us at the conference and take advantage of this opportunity to learn and engage with your peers in industry and the academic community.

PO052: Carbon footprint simulation for offshore wind projects

Jean-Baptiste Rougeot, Offshore Energy Analyst Manager, Spinergie

Abstract

This paper presents an emissions simulation system for offshore wind projects. It evaluates the carbon footprint across the full life cycle of offshore wind farms, from the manufacturing of offshore components to end-of-life, including maritime transport, offshore installation, and maintenance phases. In the current context of accelerating climate strategies and greenhouse gas reduction targets, more and more tenders are incorporating carbon criteria with specific thresholds and obligations. Whether at the state level, through tenders, or within the offshore industry, particularly among shipowners and contractors, access to reliable emissions data at all stages of the value chain is crucial.  Yet, this data remains underused and underreported. The method presented develops a carbon inventory by combining two data sets: the technical characteristics of wind farms and their offshore components, and the history of ship activities and their technical properties. This enables the calculation of energy consumption and, therefore, emissions. Proprietary Offshore Emissions Model then converts the data into robust and consistent estimates. Applied to a French offshore wind farm, the model showed that component manufacturing accounts for around 70% of total emissions. Comparison with an independent carbon footprint study confirms the method's robustness, with 95% accuracy. Providing reliable orders of magnitude is key to making the model practical for comparing scenarios and guiding operational choices.  Users can assess different strategies (e.g., types of foundations, maintenance organization, ship logistics) and compare their GHG impacts from the design phase onwards.

No recording available for this poster.


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