A Sensor Node Driven by Air Flow

Boccalero, Gregorio; Boragno, C.; Morasso, Remy; Caviglia, Daniele D.

doi:10.1109/ngcas.2017.26

Cited by 6 publications

(6 citation statements)

References 9 publications

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Section: Performance Enhancementmentioning

confidence: 99%

“…The theoretical and experimental results show that the cut‐in wind speed decreases with increasing aspect ratio of the thin plate and decreases faster when the aspect ratio is low. It is common to the harvest vibration energy of the fluttering flat plate and convert it into electrical energy through the electromagnetic conversion mechanism, such as flat plate‐based electromagnetic FEHs designed by Boragno et al 53,54 and Olivieri et al 55,56 as shown in Figure 8C–E.…”

Section: Principle and Structural Designmentioning

confidence: 99%

Section: Principle and Structural Designmentioning

confidence: 99%

“…When the wind speed is about 2.4 m/s, the energy harvesting performance is the best, and the total energy conversion efficiency of the system reaches 2.6%. Rong et al 52 proposed an FEH, as shown in Figure 8B, 53,54 and Olivieri et al 55,56 as shown in Figure 8C-E.…”

Section: Flat Plate-based Fehsmentioning

confidence: 99%

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Recent progress on flutter‐based wind energy harvesting

Zhou

Yang

2022

Int Journal of Mech Sys Dyn

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Wind energy harvesting technology can convert wind energy into electric energy to supply power for microelectronic devices. It has great potential in many specific applications and environments, such as remote areas, sea surfaces, mountains, and so on. Over the past few years, flutter‐based wind energy harvesting, which generates electric energy based on the limit cycle oscillation created by structural aeroelastic instability, has received increasing attention, and as a consequence, different energy harvesting structures, theories, and methods have been proposed. In this paper, three types of flutter‐based energy harvesters (FEHs) including airfoil‐based, flat plate‐based, and flexible body‐based FEHs are reviewed, and related concepts and theoretical models are introduced. The recent progress in FEH performance enhancement methods is classified into structural improvement and optimization, the introduction of nonlinearity, and hybrid structures and mechanisms. Finally, the main FEH challenges are summarized, and future research directions are discussed.

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Section: Performance Enhancementmentioning

confidence: 99%

Section: Principle and Structural Designmentioning

confidence: 99%

Section: Principle and Structural Designmentioning

confidence: 99%

Section: Flat Plate-based Fehsmentioning

confidence: 99%

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Recent progress on flutter‐based wind energy harvesting

Zhou

Yang

2022

Int Journal of Mech Sys Dyn

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“…The graph in Figure 6 shows the variation of maximum generated power in respect to the load resistance, and it shows that the characteristics and the maximum power point changes with the variation of wind speed. The graph is an interpolation of the data collected by the experiment in [21], where the dots are the experimental values, and the lines are a Gaussian interpolation; different curves represent different wind speeds. The choice of the DC/DC buck-boost converter is due to the ability to control its equivalent input resistance by changing the PWM duty cycle.…”

Section: Input Matchingmentioning

confidence: 99%

A Low Power AC/DC Interface for Wind-Powered Sensor Nodes

et al. 2021

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Sensor nodes have been assigned a lot of tasks in a connected environment that is growing rapidly. The power supply remains a challenge that is not answered convincingly. Energy harvesting is an emerging solution that is being studied to integrate in low power applications such as internet of things (IoT) and wireless sensor networks (WSN). In this work an interface circuit for a novel fluttering wind energy harvester is presented. The system consists of a switching converter controlled by a low power microcontroller. Optimization techniques on the hardware and software level have been implemented, and a prototype is developed for testing. Experiments have been done with generated input signals resulting in up to 67% efficiency for a constant voltage input. Other experiments were conducted in a wind tunnel that showed a transient output that is compatible with the target applications.

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