Digital Twin for Wind Energy: Latest updates from the NorthWind project
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.
Keywords
Cite
@article{arxiv.2403.14646,
title = {Digital Twin for Wind Energy: Latest updates from the NorthWind project},
author = {Adil Rasheed and Florian Stadtmann and Eivind Fonn and Mandar Tabib and Vasileios Tsiolakis and Balram Panjwani and Kjetil Andre Johannessen and Trond Kvamsdal and Omer San and John Olav Tande and Idar Barstad and Tore Christiansen and Elling Rishoff and Lars Frøyd and Tore Rasmussen},
journal= {arXiv preprint arXiv:2403.14646},
year = {2024}
}