Digital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions
It addresses the need for industry-informed guidance to facilitate technology acceptance in the wind energy sector, but is incremental as it consolidates existing knowledge rather than presenting new experimental results.
This article provides a comprehensive overview of digital twin technology and its capability levels, specifically focusing on applications in the wind energy industry, and synthesizes current knowledge to propose future research directions and recommendations for stakeholders.
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.