Design simulation of a novel fluid based footstep energy harvesting system

Chand, Anand; Arefin, A. S. M. Shamsul; Islam, F. R.; Prasad, Kushal A.; Singh, Shivneel; Cirrincione, Maurizio; Mamun, K. A.

doi:10.1016/j.seta.2020.100708

Cited by 10 publications

(3 citation statements)

References 55 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Other studies have concentrated on electrical design to ensure stable management of the harvested power [26,29]. However, some literature has addressed mechanical and electrical designs [7,30,31].…”

Section: Introductionmentioning

confidence: 99%

Piezoelectric Sensors Pressed by Human Footsteps for Energy Harvesting

Selim,

Smaili,

Yehia

et al. 2024

Energies

View full text Add to dashboard Cite

Human footsteps are a sustainable energy source that is derived from kinetic energy. As a result, in this study, piezoelectric sensors placed beneath floor tiles were excited by human footsteps to provide practical electrical energy. A simple rectifying circuit with a filter was used to capture electrical power. The floor tile is 455 mm in length and 405 mm in width. Two light-emitted diodes were lit up as the actual load by utilising electrical energy obtained from the kinetic energy generated by human footsteps. The greatest attainable power that could be extracted from the suggested floor tile was 249.6 milliwatts, with an approximate cost of $10.2.

show abstract

Section: Introductionmentioning

confidence: 99%

Piezoelectric Sensors Pressed by Human Footsteps for Energy Harvesting

Selim,

Smaili,

Yehia

et al. 2024

Energies

View full text Add to dashboard Cite

show abstract

“…The RF energy source is location-dependent and has a relatively low output power density. However, the flow energy available in the pipeline is the most reliable energy source for harvesting (Chand et al, 2020). Flow energy within the pipeline can be transformed into useable electrical energy using a microturbine or harvesters based on electromagnetic, piezoelectric, or hybrid (both piezoelectric and electromagnetic) transduction.…”

Section: Introductionmentioning

confidence: 99%

A hybrid flow energy harvester using combined piezoelectric and electromagnetic transductions for pipeline network monitoring

Rahman

Khan

2023

Journal of Intelligent Material Systems and Structures

View full text Add to dashboard Cite

An energy harvester that employs both electromagnetic and piezoelectric effects to convert fluid flow energy in the pipeline into electrical energy for powering wireless sensor nodes (WSNs) of the pipeline condition monitoring system has been developed. The devised hybrid energy harvester comprised a unimorph circular piezoelectric plate fixed in a T-joint, three stacked magnets attached at the middle of the piezoelectric plate, and an adjustable coil holder holding a wound coil. Experimental results of the developed prototype depict that it can produce a maximum load RMS voltage of 3.36 V with the piezoelectric part at 27 kΩ of optimal load resistance and 286 mV from the electromagnetic part at 335 Ω of optimum load resistance. Moreover, at 2.9 kPa flow pressure amplitude and 11.08 l/s flow rate, a maximum load power of 418 µW from the piezoelectric portion and 244 µW with the electromagnetic portion is produced. Upon integrating the harvester with a rectifier circuit, an open circuit DC voltage of 9.4 and 3.32 V are generated with piezoelectric and electromagnetic parts, respectively. Furthermore, under the same fluid flow condition, the piezoelectric part produces 404 µW DC power at 92 kΩ of optimum load resistance, while the electromagnetic portion produces 163 µW DC power at 10 kΩ of optimum load resistance. The developed harvester is also utilized to recharge a 4.8 V power bank from 1.11 to 4.2 V in 210 min. Moreover, it is also integrated with a pipeline condition monitoring system to power a WSN, a controller, and relevant circuitry.

show abstract

“…The transmitter and receiver coils form a transformer, and alternating current in the transmitter coil generates an oscillating magnetic field following Ampere's law. The magnetic field passes through the receiver coil and induces an alternating voltage and current in the receiver coil, following Faraday's law of induction (Asadi et al, 2023). It is said that if two coils are close to each other on the same axis, all the magnetic flux from the transmitter coil will pass to the receiver, and the system's efficiency will be close to unity, which is generally much lower in other wireless power transfer methods (Electronicdesign, 2022).…”

Section: Introductionmentioning

confidence: 99%

Calculation of Mutual Inductance between Two Planar Coils with Custom Specifications and Positions Using a Machine Learning Approach

Asadi,

Ali Rezaei,

Abazari

2023

icontas

View full text Add to dashboard Cite

Wireless power transmission systems enable the transfer of electricity between grids without the use of physical wires. Different methods are employed for wireless power transfer, each suited to different distances. Inductive coupling, the subject of this study, is typically used for shorter distances. The effectiveness of inductive coupling systems is evaluated using a parameter called mutual inductance. In the present study, an attempt is made to provide a model for calculating mutual inductance in wireless power transfer systems using a machine learning approach. To achieve this goal, finite element simulations are employed, and 64 datasets are generated from mutual inductance calculations in various scenarios. These datasets are used to train machine learning regression algorithms, including linear regression, support vector regression, decision tree regression, and artificial neural networks. The evaluation results, using performance metrics such as R-squared, mean absolute error, and root mean square error, confirm that among these four algorithms, the artificial neural network exhibits higher computational accuracy with an R-squared value of 0.950 for predicting test data.

show abstract

Design simulation of a novel fluid based footstep energy harvesting system

Cited by 10 publications

References 55 publications

Piezoelectric Sensors Pressed by Human Footsteps for Energy Harvesting

Piezoelectric Sensors Pressed by Human Footsteps for Energy Harvesting

A hybrid flow energy harvester using combined piezoelectric and electromagnetic transductions for pipeline network monitoring

Calculation of Mutual Inductance between Two Planar Coils with Custom Specifications and Positions Using a Machine Learning Approach

Contact Info

Product

Resources

About