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Intelligent systems for autonomous wind power plant operations

Project description

Training smarter wind farms for an autonomous future

Improving the efficiency of wind farms while reducing human involvement and minimising costs requires making full use of intelligent automation. Supported by the Marie Skłodowska-Curie Actions programme, the IntelliWind project aims to train a new generation of researchers in smarter wind farms to enable autonomous wind power plant operations. Through a doctoral network of academia and industry partnerships, researchers are trained to improve their skills in innovation uptake, shifting the focus of wind farms from conventional engineering to intelligent decision-making. Overall, IntelliWind’s goal is to improve innovation uptake, efficiency, and Europe’s transition to an autonomous renewable energy future.

Objective

"The IntelliWind Doctoral Network will train the next generation of multidisciplinary researchers who will develop intelligent systems that support autonomous wind power plant (WPP) operations. A team of 16 Doctoral Candidates supported by academic and industrial partners will collaboratively pursue the primary research objective of reducing the role of humans in the decision process, as well as reducing the need for direct human interventions in the operations and maintenance process. This frees up human resources to carry out more elaborate, better planned, and more efficient operations leading to significant improvement in cost efficiency and increased feasibility of wind farm operations. The project will trigger a change in thinking in the skills and tasks that are being used in WPP operations from classical engineering tasks to designing, analysing, and interacting with automatic machine algorithms.

IntelliWind aims for maximum impact by training professionals that have the skills to drive transformational change in their organisations, by driving the implementation of novel solutions and efficiently transferring new skills to their colleagues. This is ensured through delivering world-class training focused on ""train the future trainers"" concept where each researcher's impact goes beyond the product of a single person's efforts, as well as providing skills that define the next generation of technical leaders who can deliver transformational changes."

Fields of science (EuroSciVoc)

Keywords

Programme(s)

Topic(s)

Funding Scheme

HORIZON-TMA-MSCA-DN - HORIZON TMA MSCA Doctoral Networks

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Call for proposal

(opens in new window) HORIZON-MSCA-2023-DN-01

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Coordinator

DANMARKS TEKNISKE UNIVERSITET
Net EU contribution
€ 1 207 152,00
Address
ANKER ENGELUNDS VEJ 101
2800 Kongens Lyngby
Denmark
Region
Danmark Hovedstaden Københavns omegn
Activity type
Higher or Secondary Education Establishments
Links
Total cost
No data

Participants (9)

Partners (10)