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

• URL: http://arxiv.org/abs/2403.14646v2
• Date: Tue, 26 Mar 2024 08:47:52 GMT
• Title: Digital Twin for Wind Energy: Latest updates from the NorthWind project
• Authors: Adil Rasheed, Florian Stadtmann, Eivind Fonn, Mandar Tabib, Vasileios Tsiolakis, Balram Panjwani, Kjetil Andre Johannessen, Trond Kvamsdal, Omer San, John Olav Tande, Idar Barstad, Tore Christiansen, Elling Rishoff, Lars Frøyd, Tore Rasmussen,
• Abstract summary: NorthWind aims to advance cutting-edge research and innovation in wind energy. Digital twins are a virtual representation of physical assets or processes. Digital twins can enable real-time forecasting, optimization, monitoring, control and informed decision-making.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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.

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