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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.

Category

Academic chapter

Language

English

Author(s)

Affiliation

  • SINTEF Industry / Metal Production and Processing
  • SINTEF Digital / Mathematics and Cybernetics
  • SINTEF Energy Research / Energisystemer
  • Norwegian University of Science and Technology
  • Det Norske Veritas AS
  • Norconsult AS
  • 4subsea
  • Aneo
  • University of Tennessee-Knoxville

Year

2024

Publisher

The American Society of Mechanical Engineers (ASME)

Book

Proceedings of the ASME 2024 43rd International Conference on Ocean, Offshore and Arctic Engineering. Volume 1: Offshore Technology

ISBN

9780791887783

View this publication at Norwegian Research Information Repository