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Digital Twin as a Virtual Sensor for Wind Turbine Applications

Author

Listed:
  • Mahmoud Ibrahim

    (Electrical Power Engineering and Mechatronics Department, Tallinn University of Technology, Ehitajate tee 5, 19086 Tallinn, Estonia)

  • Anton Rassõlkin

    (Electrical Power Engineering and Mechatronics Department, Tallinn University of Technology, Ehitajate tee 5, 19086 Tallinn, Estonia)

  • Toomas Vaimann

    (Electrical Power Engineering and Mechatronics Department, Tallinn University of Technology, Ehitajate tee 5, 19086 Tallinn, Estonia)

  • Ants Kallaste

    (Electrical Power Engineering and Mechatronics Department, Tallinn University of Technology, Ehitajate tee 5, 19086 Tallinn, Estonia)

  • Janis Zakis

    (Institute of Industrial Electronics and Electrical Engineering, Riga Technical University, 12/1 Azenes Street, LV-1048 Riga, Latvia)

  • Van Khang Hyunh

    (Department of Engineering Sciences, University of Agder, Postboks 422, 4604 Kristiansand, Norway)

  • Raimondas Pomarnacki

    (Department of Computer Science and Communications Technologies, Vilnius Gediminas Technical University, Saulėtekio al. 11, LT-10223 Vilnius, Lithuania)

Abstract

Digital twins (DTs) have been implemented in various applications, including wind turbine generators (WTGs) . They are used to create virtual replicas of physical turbines, which can be used to monitor and optimize their performance. By simulating the behavior of physical turbines in real time, DTs enable operators to predict potential failures and optimize maintenance schedules, resulting in increased reliability, safety, and efficiency. WTGs rely on accurate wind speed measurements for safe and efficient operation. However, physical wind speed sensors are prone to inaccuracies and failures due to environmental factors or inherent issues, resulting in partial or missing measurements that can affect the turbine’s performance. This paper proposes a DT-based sensing methodology to overcome these limitations by augmenting the physical sensor platform with virtual sensor arrays. A test bench of a direct drive WTG based on a permanent magnet synchronous generator (PMSG) was prepared, and its mathematical model was derived. MATLAB/Simulink was used to develop the WTG virtual model based on its mathematical model. A data acquisition system (DAS) equipped with an ActiveX server was used to facilitate real-time data exchange between the virtual and physical models. The virtual sensor was then validated and tuned using real sensory data from the physical turbine model. The results from the developed DT model showed the power of the DT as a virtual sensor in estimating wind speed according to the generated power.

Suggested Citation

  • Mahmoud Ibrahim & Anton Rassõlkin & Toomas Vaimann & Ants Kallaste & Janis Zakis & Van Khang Hyunh & Raimondas Pomarnacki, 2023. "Digital Twin as a Virtual Sensor for Wind Turbine Applications," Energies, MDPI, vol. 16(17), pages 1-12, August.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:17:p:6246-:d:1227148
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    References listed on IDEAS

    as
    1. Mahmoud Ibrahim & Anton Rassõlkin & Toomas Vaimann & Ants Kallaste, 2022. "Overview on Digital Twin for Autonomous Electrical Vehicles Propulsion Drive System," Sustainability, MDPI, vol. 14(2), pages 1-16, January.
    Full references (including those not matched with items on IDEAS)

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