Electromagnetic induction generator toward energy harvesting for dynamic systems

Torres, Eduardo; Ponce, Pedro; Molina, Arturo

doi:10.1109/icit.2017.7913267

Cited by 5 publications

(4 citation statements)

References 21 publications

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“…Due to the large number of radial layers, the proximity effect causes major power degradation (k prox_max~6 13), as illustrated by the existing gap between the two blue lines. are given in mm just for convenience; however, in (22)(23)(24)(25)(26), the units of CF must be consistent with other parameters in the expression). The four colored solid lines represent the power when accounting for skin effect and radiation resistance, but with no proximity effect (kprox=1).…”

Section: Resultsmentioning

confidence: 99%

“…The power-frequency dependency (Figure 3) is characterized by a triangular shape. At low frequencies, power rises with f 2 0 and depends strongly on the coil parameters, as expressed by the "Coil-factor" (23). For a multi-turn coil, this output power is reduced as a result of skin and proximity effects.…”

Section: Discussionmentioning

confidence: 99%

“…The operation principle is based on Faraday's law of induction where a voltage is induced in a coil by a time-changing magnetic flux. The source of the magnetic flux can be power lines [3][4][5][6][7][8][9][10], oscillating or vibrating permanent magnets [11][12][13][14][15][16][17][18][19][20][21][22][23][24], variable reluctance [25] or a nearby transmitter coil. Typical applications are condition monitoring sensors powered by power lines [3][4][5][6][7]9,[26][27][28], and powering of biomedical implants [2,14,17,[29][30][31][32].…”

Section: Introductionmentioning

confidence: 99%

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Output Power Limit in Energy Harvesting Systems Based on Magnetic Induction Incorporating High-Frequency Effects

Morag

Levron

2019

Instruments

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Wireless power transfer systems based on magnetic induction are usually modeled using the magneto-quasi-static approximation, and by neglecting skin effects and radiation losses. These assumptions imply that the extracted power can grow unlimitedly by increasing frequency or coil size. To bridge this gap, this work proposes general expression for the actual received power of magnetic induction-based energy harvesting transducer, extracting power from a given ambient magnetic field, while accounting for the high-frequency effects. A primary result is that the receiver’s output power is inherently limited by radiation losses at high frequencies and impaired by skin and proximity effects at medium frequencies. The approach provides a design tool for estimating the maximal power that can be delivered through a given transducer, and the optimal operating frequency.

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Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Output Power Limit in Energy Harvesting Systems Based on Magnetic Induction Incorporating High-Frequency Effects

Morag

Levron

2019

Instruments

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“…Two different researchers, Michael Faraday and Joseph Henry, determined the electro motive force (EMF) independently. EMF is induced by changing the magnitude of the magnetic field and the magnetic flux [114]. EMI can harness the energy from the MV energy sources, wherein the magnets and conductors are seen to be important components.…”

Section: Electromagnetic Induction (Emi)mentioning

confidence: 99%

Prospective Efficient Ambient Energy Harvesting Sources for IoT-Equipped Sensor Applications

et al. 2020

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In the past few years, the internet of things (IoT) has garnered a lot of attention owing to its significant deployment for fulfilling the global demand. It has been seen that power-efficient devices such as sensors and IoT play a significant role in our regular lives. However, the popularity of IoT sensors and low-power electronic devices is limited due to the lower lifetime of various energy resources which are needed for powering the sensors over time. For overcoming this issue, it is important to design and develop better, high-performing, and effective energy harvesting systems. In this article, different types of ambient energy harvesting systems which can power IoT-enabled sensors, as well as wireless sensor networks (WSNs), are reviewed. Various energy harvesting models which can increase the sustainability of the energy supply required for IoT devices are also discussed. Furthermore, the challenges which need to be overcome to make IoT-enabled sensors more durable, reliable, energy-efficient, and economical are identified.

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Experimental analysis of a modified scheme for supplying single-phase remote loads from micro-hydro based three-phase self-excited induction generator

Chakraborty,

Samanta,

Pudur

2024

Measurement: Sensors

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Electromagnetic induction generator toward energy harvesting for dynamic systems

Cited by 5 publications

References 21 publications

Output Power Limit in Energy Harvesting Systems Based on Magnetic Induction Incorporating High-Frequency Effects

Output Power Limit in Energy Harvesting Systems Based on Magnetic Induction Incorporating High-Frequency Effects

Prospective Efficient Ambient Energy Harvesting Sources for IoT-Equipped Sensor Applications

Experimental analysis of a modified scheme for supplying single-phase remote loads from micro-hydro based three-phase self-excited induction generator

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