2021
DOI: 10.3390/en14071823
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A Low Power AC/DC Interface for Wind-Powered Sensor Nodes

Abstract: 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 microcon… Show more

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Cited by 6 publications
(3 citation statements)
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“…When designing the architecture of the sensor node, one important point to observe is that, when the EH is connected to a load, an electromagnetic brake effect occurs due to the currents flowing in the coils [ 29 , 30 ]. Consequently, the maximum power attainable depends on the combination of three aspects: the wind speed, the electrical source impedance, and the load current.…”
Section: Methodsmentioning
confidence: 99%
“…When designing the architecture of the sensor node, one important point to observe is that, when the EH is connected to a load, an electromagnetic brake effect occurs due to the currents flowing in the coils [ 29 , 30 ]. Consequently, the maximum power attainable depends on the combination of three aspects: the wind speed, the electrical source impedance, and the load current.…”
Section: Methodsmentioning
confidence: 99%
“…Therefore, there is an immediate need to develop a non‐conventional energy source compatible with the operational and powering requirements of IoT/IoE nodes. [ 4 ] Extensive research has explored the premises of solar, [ 5 ] wind, [ 6 ] thermal, [ 7 ] acoustic, [ 8 ] and RF [ 9 ] energy for powering remote IoT nodes. But the output energy of these sources depends on environmental factors such as time of the day, location, temperature, etc.…”
Section: Introductionmentioning
confidence: 99%
“…The less energy-intensive P&O algorithm was chosen in ref. [6] to optimize the output power of a novel low-power wind-energy harvester: the Fluttering Energy Harvester for Autonomous Powering (FLEHAP). The system consists of a MicroController Unit (MCU), a rectifier, a DC/DC Buck-Boost Converter, a DC/DC boost converter, a storage unit, and an auxiliary circuit.…”
mentioning
confidence: 99%