Back to Search Start Over

Digital Twin for Wind Energy: Latest updates from the NorthWind project

Authors :
Rasheed, Adil
Stadtmann, Florian
Fonn, Eivind
Tabib, Mandar
Tsiolakis, Vasileios
Panjwani, Balram
Johannessen, Kjetil Andre
Kvamsdal, Trond
San, Omer
Tande, John Olav
Barstad, Idar
Christiansen, Tore
Rishoff, Elling
Frøyd, Lars
Rasmussen, Tore
Publication Year :
2024

Abstract

NorthWind, a collaborative research initiative supported by the Research Council of Norway, industry stakeholders, and research partners, aims to advance cutting-edge research and innovation in wind energy. The core mission is to reduce wind power costs and foster sustainable growth, with a key focus on the development of digital twins. A digital twin is a virtual representation of physical assets or processes that uses data and simulators to enable real-time forecasting, optimization, monitoring, control and informed decision-making. Recently, a hierarchical scale ranging from 0 to 5 (0 - Standalone, 1 - Descriptive, 2 - Diagnostic, 3 - Predictive, 4 - Prescriptive, 5 - Autonomous has been introduced within the NorthWind project to assess the capabilities of digital twins. This paper elaborates on our progress in constructing digital twins for wind farms and their components across various capability levels.

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2403.14646
Document Type :
Working Paper