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- W3020918936 abstract "This paper reports the design, simulation, fabrication and performances of a centimeter-scale (Ø=35mm) airflow-driven harvester for autonomous Wireless Sensor Nodes (WSN). We present a model-based design tool implemented in Matlab-Simulink, which takes both computational fluid dynamics and electromagnetic finite element simulations as inputs and we compare the simulation results with measurements for various air velocities. The harvester has a cut-in speed of 2 m·s <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>-1</sup> and it is particularly efficient in the low airflow environments since its end-to-end efficiency ranges from 10.5% to 23.9% and its maximum output power from 200 μW to 3.7 mW at 1.5 m·s <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>-1</sup> and 3 m·s <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>-1</sup> respectively. The propeller alone has a mechanical power coefficient ranging from 19.1% to 34% at 1.5 m·s <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>-1</sup> and 3 m·s <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>-1</sup> respectively. Furthermore, in the cm-scale and low airflow velocity ranges, the proposed harvester without shroud outperforms the state of the art in terms of power density and end-to-end efficiency (23.9% at 3 m·s <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>-1</sup> , 28% at 5 m·s <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>-1</sup> ) and it still exhibits one of the highest performances with its shroud." @default.
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- W3020918936 date "2019-12-01" @default.
- W3020918936 modified "2023-10-02" @default.
- W3020918936 title "Modelling and Characterization of a High-Efficiency, Cm-Scale and Low Velocity Airflow-Driven Harvester for Autonomous Wireless Sensor Nodes" @default.
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- W3020918936 doi "https://doi.org/10.1109/powermems49317.2019.41031600279" @default.
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