TWAIN will support Europe in maintaining its global leadership in wind energy technology by generating knowledge for industrial innovation and offering open-source tools and training to the wind energy industry. TWAIN decision support environment together with its submodules and the associated training on data types, data transformations, and capabilities to (re)build and (re)train algorithms will improve the skills of engineers and applied computational scientists for novel AI-driven workflows, and within the next decade more than 1000 engineers are expected to use the tools developed within TWAIN. The architectural design and overall data-driven framework of TWAIN are expected to generate ‘best practices’ for several digitalisation activities within wind energy, to be used universally by academia and industry. They include concrete analysis through quantified social, economic, and environmental metrics for industrially critical system-wide optimisation scenarios up to 2050, promising further acceleration and growth of wind as the most affordable, available, and efficient energy source – with up to 7% decrease in LCOE and AI-driven acceleration towards REPowerEU 45% renewable energy by 2030 targets. A wide uptake of the TWAIN outcomes is supported by the involvement of three important owner/operators that have a growing 9% European and 4% global market share of installed wind capacity. With their influence on the market, the TWAIN outcomes are estimated to be used for (at least) 50% of their WFs within the next decade, both for operation of the existing WFs and design of the new ones. TWAIN will have further outreach outside of the consortium via the TWAIN Open Call and Research & Innovation Board (RIB) where, among others, RIB.3 (Ørsted, with 1% additional global market share) will have active interaction with the TWAIN outcomes.
