Instrumentation and Measurement Systems: Aerosense: A Wireless, Non-Intrusive, Flexible, and MEMS-Based Aerodynamic and Acoustic Measurement System for Operating Wind Turbines

Polonelli, Tommaso; Deparday, Julien; Abdallah, Imad; Barber, Sarah; Chatzi, Eleni; Magno, Michele

doi:10.1109/mim.2023.10146566

Cited by 3 publications

(3 citation statements)

References 10 publications

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“…Figure 10 depicts the results of the synchronization tests for varying the number of nodes connected to a single BLE receiver, reporting the average error, the variance and the 75 th percentile. The synchronization error between two nodes for all the cases is between 0 to 160 µs, with a median error between 40 and 60 µs, providing an acceptable range for aerodynamic and acoustic systems deployed over wind turbines allowing to reconstruct signals up to a range of kHz [16], [22].…”

Section: ) Ble Synchronization For Multi-node Systemmentioning

confidence: 95%

“…Within the Aerosense work [22], authors successfully demonstrate the effective application of MEMS sensors for measuring sound levels and pressure distribution on wind turbine blades, deploying a self-sustaining sensor node wirelessly connected to a base station, able to operate 24/7 on an operating wind turbine. Further, Wondra et al [23] propose a flexible solution for SHM of wind turbine towers using only MEMS accelerometers in a battery-powered and wireless system.…”

Section: Related Workmentioning

confidence: 99%

“…However, the system has been limited so far by installing only a single sensor node, which poses a practical restriction to monitoring wind farms or large multi-MW generators. In this paper, we propose a brief description of the Aerosense system already tested on an operating wind turbine [22] as a base to extend its functionalities with a multi-node and time-synchronized setup.…”

Section: System Architecturementioning

confidence: 99%

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A Self-Sustainable and Micro-Second Time Synchronized Multi-Node Wireless System for Aerodynamic Monitoring on Wind Turbines

Polonelli,

Moallemi,

Kong

et al. 2023

IEEE Access

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Wind energy generation plays a vital role in transitioning from fossil fuel-based energy sources and in alleviating the impacts of global warming. However, global wind energy coverage still needs to rise, while requiring a significant step up in conversion efficiency: monitoring wind flow and operational parameters of wind turbines is an essential prerequisite for coverage and conversion efficiency optimization. This paper presents a low-power, self-sustainable, and timesynchronised system for aerodynamic and acoustic measurements on operating wind turbines. It includes 40 high-accuracy barometers, 10 microphones, 5 differential pressure sensors, and implements a coarse time synchronisation on top of a Bluetooth Low Energy 5.1 protocol tuned for long-range communications. Moreover, we field-assessed the node capability to collect precise and accurate aerodynamic data with a multi-node setup. Outdoor experimental tests revealed that the system can acquire heterogeneous data with a time synchronisation error below 100 µs and sustain a data rate of 600 kbps over 400 m with up to 5 sensor nodes, enough to fully instrument a wind turbine. The proposed method does not add any traffic overhead on the Bluetooth Low Energy 5.1 protocol, fully relying only on connection events and withstands transmission discontinuity often present in long range wireless communications.

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Section: ) Ble Synchronization For Multi-node Systemmentioning

confidence: 95%

Section: Related Workmentioning

confidence: 99%

Section: System Architecturementioning

confidence: 99%

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A Self-Sustainable and Micro-Second Time Synchronized Multi-Node Wireless System for Aerodynamic Monitoring on Wind Turbines

Polonelli,

Moallemi,

Kong

et al. 2023

IEEE Access

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An Ultra-Thin 4.3 mm Generator for Energy Harvesting on Operating Wind Turbine Blades

Polonelli,

Hug,

Magno

2024

2024 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM)

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Hybrid Model for Inflow Conditions Inference on Airfoils Under Uncertainty

Marykovskiy,

Deparday,

Abdallah

et al. 2023

AIAA Journal

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Estimation of inflow conditions, such as wind speed and angle of attack, is vital for assessing aerodynamic performance of a lifting profile. This task is particularly challenging in the field due to the inherent stochasticity of the inflow variables. In practice, the field installation of a measurement system exacerbates the measurement uncertainty. Here, we present a hybrid model to infer the inflow conditions on a wind turbine blade along with a process to quantify the involved uncertainty. The model combines potential flow theory and conformal mapping with pressure measurements from a novel monitoring system, which eliminates the need for external reference pressure measurements. Stagnation point location and wind speed are formulated as outputs of an optimization problem, in which pressure differences along the surface of an airfoil are connected to the potential flow solution through the Bernoulli equation. The proposed scheme is experimentally validated. The hybrid model offers a practical and robust solution for inflow condition estimation, suitable for field deployment on wind turbine or aircraft. The uncertainty quantification process provides valuable insights for improving monitoring system design and quantifying the accuracy of the predictive scheme before actual field installation.

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Instrumentation and Measurement Systems: Aerosense: A Wireless, Non-Intrusive, Flexible, and MEMS-Based Aerodynamic and Acoustic Measurement System for Operating Wind Turbines

Cited by 3 publications

References 10 publications

A Self-Sustainable and Micro-Second Time Synchronized Multi-Node Wireless System for Aerodynamic Monitoring on Wind Turbines

A Self-Sustainable and Micro-Second Time Synchronized Multi-Node Wireless System for Aerodynamic Monitoring on Wind Turbines

An Ultra-Thin 4.3 mm Generator for Energy Harvesting on Operating Wind Turbine Blades

Hybrid Model for Inflow Conditions Inference on Airfoils Under Uncertainty

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