Electromagnetic Bridge Energy Harvester Utilizing Bridge’s Vibrations and Ambient Wind for Wireless Sensor Node Application

Khan, Farid Ullah; Iqbal, Muhammad

doi:10.1155/2018/3849683

Cited by 37 publications

(34 citation statements)

References 62 publications

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“…Table compares the power densities of the reported energy harvesters. It can be clearly seen that the device developed in this research has the highest power density (2.35 μW/cm 3 ) in electromagnetic devices (0.20 and 0.047 μW/cm 3 ) except Khan and Izhar, which has a power density of 191.4 μW/cm 3 . However, the device developed in Khan and Izhar is not a flow based.…”

Section: Comparison With State Of the Artmentioning

confidence: 78%

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Flow‐based electromagnetic‐type energy harvester using microplanar coil for IoT sensors application

et al. 2019

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Summary Battery is the sole power source for Internet of thing (IoT) sensors. Due to limited shelf life, the batteries are required to be replaced intermittently. This periodic replacement of batteries is inflated in terms of both logistics and time. This article illustrates conceptual design, development, and characterization of a flow‐based electromagnetic‐type energy harvester (F‐EH) using microplanar coil for IoT sensors application. The F‐EH converts hydro energy into useful electrical energy utilizing electromagnetic transduction mechanism. The microfabrication and macrofabrication techniques adopted to manufacture harvester's components are presented. The F‐EH has been successfully characterized by laboratory scale experimental flow test loop commissioned for this work. Experimentation with associated uncertainty analysis prevails that at a matching impedance, the F‐EH can generate a 686 μW of maximum power at an operating flow rate of 12 L/min with an uncertainty of 8.1%.

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Section: Comparison With State Of the Artmentioning

confidence: 78%

“…The device was tested at a velocity of 4 m/s in a wind tunnel, and the maximum power output (4 mW) was observed. Furthermore, an electrodynamic type of energy harvester was designed and fabricated to power WSNs in Khan and Iqbal . The developed device comprises of an airfoil, cantilever beam, a magnet, and a wound coil.…”

Section: Introductionmentioning

confidence: 99%

Flow‐based electromagnetic‐type energy harvester using microplanar coil for IoT sensors application

et al. 2019

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“…Average power, however, increases until it reaches the highest value at the optimum load (13.5 Ω for coil-I and 16.5 Ω for coil-II), before decreasing exponentially. With the average power obtained from RMS voltage [64]; using equation = / , maximum powers are delivered across both coils, with load resistances equal to the coil's internal resistance, which satisfies maximum power transfer [65]. The behavior of the upper and lower electromagnetic generators is identical, but with peak voltages at different base accelerations, as depicted in Figure 8.…”

Section: Resultsmentioning

confidence: 99%

Multimodal Hybrid Piezoelectric-Electromagnetic Insole Energy Harvester Using PVDF Generators

et al. 2020

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Harvesting biomechanical energy is a viable solution to sustainably powering wearable electronics for continuous health monitoring, remote sensing, and motion tracking. A hybrid insole energy harvester (HIEH), capable of harvesting energy from low-frequency walking step motion, to supply power to wearable sensors, has been reported in this paper. The multimodal and multi-degrees-of-freedom low frequency walking energy harvester has a lightweight of 33.2 g and occupies a small volume of 44.1 cm3. Experimentally, the HIEH exhibits six resonant frequencies, corresponding to the resonances of the intermediate square spiral planar spring at 9.7, 41 Hz, 50 Hz, and 55 Hz, the Polyvinylidene fluoride (PVDF) beam-I at 16.5 Hz and PVDF beam-II at 25 Hz. The upper and lower electromagnetic (EM) generators are capable of delivering peak powers of 58 µW and 51 µW under 0.6 g, by EM induction at 9.7 Hz, across optimum load resistances of 13.5 Ω and 16.5 Ω, respectively. Moreover, PVDF-I and PVDF-II generate root mean square (RMS) voltages of 3.34 V and 3.83 V across 9 MΩ load resistance, under 0.6 g base acceleration. As compared to individual harvesting units, the hybrid harvester performed much better, generated about 7 V open-circuit voltage and charged a 100 µF capacitor up to 2.9 V using a hand movement for about eight minutes, which is 30% more voltage than the standalone piezoelectric unit in the same amount of time. The designed HIEH can be a potential mobile source to sustainably power wearable electronics and wireless body sensors.

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“…Among the various environmental energy sources, vibration energy exists in various structures, and it is attracting attention as an energy source that could be harvested, thereby supplying the power to wireless sensors [2,3]. The energy harvesting from vibration energy has been inserted into various types of wireless sensors that can be used to monitor the health condition of complex systems such as bridges [4][5][6][7], pipelines [8], and wind turbines [9,10].…”

Section: Introductionmentioning

confidence: 99%

A Study on the Analytic Power Estimation of the Electromagnetic Resonant Energy Harvester for the High-Speed Train

Kim

2020

Electronics

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This study is intended to identify the applicability of energy harvesting technologies that are regarded as new electrical power sources for the sensors on high-speed trains. The analytic estimation research is conducted on the amount of electric energy harvested from the high-speed trains, operating at a maximum speed of over 400km/h to verify the applicability of the energy harvesting technology converting the vibration energy of axle and bogie into electric power. Based on the data of the vibration acceleration on the axles and bogies, which were measured by using a 500 Hz analog filter, an analytic estimation on the amount of power harvested by an electromagnetic resonant harvester is conducted through the analysis of the main frequency. The power of the electromagnetic resonant harvester is based on a theoretical model of the mass-spring-damper system, and the harvested power from the axles and bogies in the vertical direction is analytically estimated in this study. The analytic calculations typically give the target value for the final performance of the electromagnetic resonant energy harvester. The targets of the analytic estimations are given to provide the basis for the detailed design and to give a basis for defining the basic design parameters of the electromagnetic resonant energy harvester.Electronics 2020, 9, 403 2 of 16 prevent system failure and accidents [12][13][14]. The high-speed train mostly uses the wired sensors for the monitoring system [15]. Recently, the demand for a monitoring system using a wireless sensor is gradually increasing; however, there are limitations at present regarding the installation and the difficulty of accessing high-speed trains. In particular, when applied to the monitoring system of the high-speed train using wireless sensors and IT technology, maintenance based on real-time conditions during driving becomes possible, which differs from the methods currently used in maintenance management such as periodic disassembly and inspection. As a result, the reliability and stability of the train can be improved [16].However, even in the case of wireless sensors with less installation and location constraints, the power supply problem must be solved for the innovative monitoring system. As the current energy density increase rate of the battery does not meet the demands of the application, periodic battery replacement is necessary for real-time or long-term monitoring of the high-speed train. The battery replacement, which consumes energy continuously is a limited resource, is non-environmentally friendly, and generates additional maintenance tasks [17]. Therefore, the intelligent monitoring of high-speed trains requires the development of environmentally friendly and semi-permanent 'energy harvesting' powered monitoring technology through the use of exploiting the ambient energy generated during system operation.Energy harvesting module research using electromagnetic induction should analyze the characteristics of mechanical motion [18]. Mechanical motion characteristics...

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Electromagnetic Bridge Energy Harvester Utilizing Bridge’s Vibrations and Ambient Wind for Wireless Sensor Node Application

Cited by 37 publications

References 62 publications

Flow‐based electromagnetic‐type energy harvester using microplanar coil for IoT sensors application

Flow‐based electromagnetic‐type energy harvester using microplanar coil for IoT sensors application

Multimodal Hybrid Piezoelectric-Electromagnetic Insole Energy Harvester Using PVDF Generators

A Study on the Analytic Power Estimation of the Electromagnetic Resonant Energy Harvester for the High-Speed Train

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