This contribution presents a transdisciplinary approach to assessing societal impact, acceptability, and public goods in offshore wind development, based on the SEADOTs Mission Ocean Horizon Europe project. Using three case studies located in Germany, Norway, and Sweden, we apply Ostrom’s Social-Ecological Systems (SES) framework to construct conceptual models that capture stakeholder dynamics, ecological conditions, and governance structures. From these conceptual models, we develop applied models for feed-forward into digital decision-support tools.
These tools take the form of Digital Ocean Twins (DOTs)—virtual representations of ocean systems that integrate real-time and historical oceanographic, ecological, socio-economic, and governance data. In SEADOTs, DOTs are enhanced with predictive capabilities and participatory modeling to simulate “what-if” scenarios, enabling exploration of co-existence strategies and trade-offs between offshore wind and other marine uses. This facilitates informed marine spatial planning and adaptive governance.
We assess societal impact through SES indicators and relevant UN SDG targets, supported by an indicator model. The SEADOTs DOTs are designed to contribute to the European Digital Twin of the Ocean (EU DTO), a flagship initiative under the EU Mission “Restore our Ocean and Waters”, which aims to provide high-resolution, multi-dimensional, and interactive digital representations of the ocean. These tools are envisioned as public goods to support transparent, inclusive, and science-based decision-making for sustainable ocean governance.
We demonstrate how systems thinking and participatory modeling can enhance stakeholder engagement, legitimacy, and long-term sustainability in offshore wind planning, contributing to the broader goals of the EU Green Deal and Mission Ocean.

This communication provides a comprehensive analysis of social perceptions on offshore wind energy in France, using automated artificial intelligence (IA) techniques and natural language processing (NLP). The work addresses two challenges: how to capture qualitative information from a source of big data that is still largely untapped: the local, regional and national press, and how public discourse and perceptions on offshore wind have evolved over time and space. The work introduces new methodological pathways for monitoring social cognition of offshore wind energy. The research develops an interactive visualization dashboard and analytic tools that turn the raw media data into usable insights using geographic maps, time-based evolution charts, and actor-theme relationship matrices across key social issues regarding offshore wind deployment. The results illustrate the practical use of AI/NLP technologies in energy policy research and provides opportunities for future long-term monitoring systems to support decision-making processes and stakeholder engagement.

The European Union has set ambitious targets of 420 GW of wind capacity by 2030 and up to 450 GW offshore capacity by 2050, making offshore wind the backbone of the continent’s decarbonised energy system. Meeting these targets requires an unprecedented acceleration of deployment while reducing costs and ensuring supply chain resilience. Incremental turbine upsizing alone will not deliver the necessary scale; a broader process of industrialisation is essential. This paper investigates how lessons from mature global industries can inform and accelerate the transformation of offshore wind, focusing on manufacturing, digitalisation, workforce development, and operations and maintenance.

The automotive sector provides a benchmark for large-scale, standardised production, offering insights into modular product architectures, lean manufacturing practices, and tightly integrated supply chains that have consistently reduced per-unit costs. In aerospace, advanced approaches to composite materials, high-fidelity modelling, and digital twin methodologies demonstrate how precision engineering and lifecycle reliability can be enhanced in wind turbine design and operation. Offshore oil and gas, along with the maritime industries, contribute decades of expertise in heavy marine construction, subsea infrastructure, health and safety culture, and the management of complex offshore projects in hostile environments. These industries also provide a foundation for workforce transition, as technicians and engineers retrain for roles in offshore wind.

Digitalisation emerges as a cross-cutting enabler, with predictive maintenance, AI-driven optimisation, and augmented reality tools offering new pathways to improve availability, extend component lifetimes, and reduce operations and maintenance costs. Insights from Industry 4.0 demonstrate how offshore wind can adopt interoperable standards, data-driven decision making, and remote monitoring to achieve economies of scale.

The paper concludes that cross-sectoral learning is critical to deliver the industrialisation required for offshore wind. A set of policy recommendations is presented, including the establishment of stable project pipelines, support for domestic supply chains under the EU Net-Zero Industry Act, and investments in skills training to double the workforce by 2030. By strategically adopting and adapting proven approaches from automotive, aerospace, and offshore energy, offshore wind can achieve the dual objectives of cost reduction and large-scale deployment needed to meet Europe’s climate neutrality goals.

The rapid growth of offshore wind in the Netherlands is expected to significantly reshape electricity market dynamics by 2030. While this expansion supports decarbonization and enhances energy security, it also raises the risk of prolonged periods of low or negative prices during times of oversupply, particularly if electricity demand does not grow in line with supply. Under these conditions, revenues for offshore wind projects and government costs on long-term mechanisms may be negatively impacted, creating concerns about the financial viability of new offshore wind investments. Furthermore, long-term contracts such as Contracts for Difference (CfDs) and Power Purchase Agreements (PPAs) will play an increasingly important role in the electricity market. By offering stability and reducing market risk, these contracts can drive the uptake of renewables. The suitable design of CfDs and PPAs becomes crucial, as these mechanisms determine the balance between investor certainty, market exposure, and fiscal sustainability.

This research investigates the techno-economic performance of offshore wind farms under different contractual frameworks, including CfDs and PPAs, in the Dutch energy market by 2030. We analyze how these mechanisms influence offshore wind revenues, market exposure, and government compensation under two demand scenarios: a 2030-demand scenario reflecting projected growth and a 2025-demand scenario representing slower demand development. We assess the business case using different economic metrics, including the Levelized Cost of Energy (LCOE), Cost of Valued Energy (COVE), Levelized Avoided Cost of Energy (LACE), and Internal Rate of Return (IRR).

The CfDs alone reduce revenue volatility by stabilizing payments relative to market prices, while the addition of PPAs further dampens exposure to price fluctuations, ensures more predictable cash flows, and moderately increases total annual revenues. One-sided CfDs lead to higher government costs than two-sided CfDs due to asymmetric exposure to market price variations. The analysis of CfD strike prices demonstrates a strong impact on both government costs and offshore wind revenues. Higher strike prices increase revenues under CfDs but also raise the government compensation costs, whereas lower strike prices reduce payments to investors but may leave wind farms more exposed to market volatility. Introducing PPAs alongside CfDs lowers government costs while improving investor certainty. The combination of PPAs and CfDs, therefore, balances financial risk and shifts revenue from government support to direct private contracts.

Beyond contractual design, we examine hybrid offshore wind and electrolyzer systems, in which wind generation directly powers the electrolyzers, surplus electricity is sold on the electricity market, and any additional electrolyzer demand is met from the electricity market. Revenues from hydrogen sales create an additional income stream that significantly improves project economics under sufficient demand growth. Comparisons between 2030- and 2025-demand scenarios show that insufficient demand severely limits both revenues and profitability, undermining the overall economic viability of hybrid projects.

Overall, the financial performance of offshore wind is highly sensitive to demand development, the design of CfDs and PPAs, and hydrogen market dynamics. Coordinated market planning and policy support are essential to ensure both investor viability and efficient allocation of government resources as offshore wind deployment accelerates.