the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development of a wireless, non-intrusive, MEMS-based pressure and acoustic measurement system for large-scale operating wind turbine blades
Julien Deparday
Yuriy Marykovskiy
Eleni Chatzi
Gregory Duthé
Michele Magno
Tommaso Polonelli
Raphael Fischer
Hanna Müller
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WeDoWind is an open innovation ecosystem for enabling data sharing and alignment in the wind energy sector. In this work, a feasibility study of WeDoWind is presented, considering different technical, economic, legal, operational and scheduling aspects. The results showed strong governance, clear regulation, and promising scalability potential, but further progress is required to make it financially sustainable and to ensure adoption of the results in the sector.
grand challengesaround data, culture, and coopetition. This paper describes how the wind energy industry could work with R&D organisations, funding agencies, and others to overcome them.
complexand are hard to develop. This paper sets out the research and development (R&D) needed to make it easier and cheaper to harness wind energy there. This includes collaborative R&D facilities, improved wind and weather models, frameworks for sharing data, and a clear definition of site complexity.
WeDoWind is an open innovation ecosystem for enabling data sharing and alignment in the wind energy sector. In this work, a feasibility study of WeDoWind is presented, considering different technical, economic, legal, operational and scheduling aspects. The results showed strong governance, clear regulation, and promising scalability potential, but further progress is required to make it financially sustainable and to ensure adoption of the results in the sector.
grand challengesaround data, culture, and coopetition. This paper describes how the wind energy industry could work with R&D organisations, funding agencies, and others to overcome them.
complexand are hard to develop. This paper sets out the research and development (R&D) needed to make it easier and cheaper to harness wind energy there. This includes collaborative R&D facilities, improved wind and weather models, frameworks for sharing data, and a clear definition of site complexity.