Digital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions
Abstrak
This article presents a comprehensive overview of the digital twin technology and its capability levels, with a specific focus on its applications in the wind energy industry. It consolidates the definitions of digital twin and its capability levels on a scale from 0-5; 0-standalone, 1-descriptive, 2-diagnostic, 3-predictive, 4-prescriptive, 5-autonomous. It then, from an industrial perspective, identifies the current state of the art and research needs in the wind energy sector. The article proposes approaches to the identified challenges from the perspective of research institutes and offers a set of recommendations for diverse stakeholders to facilitate the acceptance of the technology. The contribution of this article lies in its synthesis of the current state of knowledge and its identification of future research needs and challenges from an industry perspective, ultimately providing a roadmap for future research and development in the field of digital twin and its applications in the wind energy industry.
Penulis (24)
Florian Stadtman
Adil Rasheed
Trond Kvamsdal
Kjetil André Johannessen
Omer San
Konstanze Kölle
John Olav Giæver Tande
Idar Barstad
Alexis Benhamou
Thomas Brathaug
Tore Christiansen
Anouk-Letizia Firle
Alexander Fjeldly
Lars Frøyd
Alexander Gleim
Alexander Høiberget
Catherine Meissner
Guttorm Nygård
Jørgen Olsen
Håvard Paulshus
Tore Rasmussen
Elling Rishoff
Francesco Scibilia
John Olav Skogås
Akses Cepat
- Tahun Terbit
- 2023
- Bahasa
- en
- Sumber Database
- arXiv
- Akses
- Open Access ✓