A Comprehensive Method to Taxonomize Mechanical Energy Harvesting Technologies

Diez, Pablo Lopez; Gabilondo, Iosu; Alarcón, Eduard; Moll, Francesc

doi:10.1109/iscas.2018.8350907

Cited by 7 publications

(5 citation statements)

References 47 publications

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“…Several energy harvesting materials exist, each with a unique conversion mechanism that can be employed for energy harvesting. Some of the most common energy harvesting materials include photovoltaics (solar panels) to convert solar energy to electric energy [8][9][10][11][12][13][14], thermoelectrics (thermoelectric generators) to convert temperature differentials into electrical energy [15][16][17][18][19], and electromechanical transducers (piezoelectrics, electrostatic generators) to convert mechanical vibration energy into electrical energy [20][21][22][23][24][25]. Mechanical vibration energy is common in many environments where energy harvesting can be beneficial.…”

Section: Introductionmentioning

confidence: 99%

A review of energy harvesting using piezoelectric materials: state-of-the-art a decade later (2008–2018)

Safaei

Sodano

Anton

2019

Smart Mater. Struct.

603

314

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Energy harvesting technologies have been explored by researchers for more than two decades as an alternative to conventional power sources (e.g. batteries) for small-sized and low-power electronic devices. The limited life-time and necessity for periodic recharging or replacement of batteries has been a consistent issue in portable, remote, and implantable devices. Ambient energy can usually be found in the form of solar energy, thermal energy, and vibration energy. Amongst these energy sources, vibration energy presents a persistent presence in nature and manmade structures. Various materials and transduction mechanisms have the ability to convert vibratory energy to useful electrical energy, such as piezoelectric, electromagnetic, and electrostatic generators. Piezoelectric transducers, with their inherent electromechanical coupling and high power density compared to electromagnetic and electrostatic transducers, have been widely explored to generate power from vibration energy sources. A topical review of piezoelectric energy harvesting methods was carried out and published in this journal by the authors in 2007. Since 2007, countless researchers have introduced novel materials, transduction mechanisms, electrical circuits, and analytical models to improve various aspects of piezoelectric energy harvesting devices. Additionally, many researchers have also reported novel applications of piezoelectric energy harvesting technology in the past decade. While the body of literature in the field of piezoelectric energy harvesting has grown significantly since 2007, this paper presents an update to the authors’ previous review paper by summarizing the notable developments in the field of piezoelectric energy harvesting through the past decade.

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Section: Introductionmentioning

confidence: 99%

A review of energy harvesting using piezoelectric materials: state-of-the-art a decade later (2008–2018)

Safaei

Sodano

Anton

2019

Smart Mater. Struct.

603

314

View full text Add to dashboard Cite

show abstract

“…A typical energy harvesting system includes an energy transducer, an interface circuit, and a load that uses the accumulated energy to perform a specific task [ 3 , 7 , 8 , 9 ]. The energy transducer converts energy from the physical domain to the electrical domain, generating a source-dependent output signal [ 10 , 11 ]. For kinetic energy harvesting, electromagnetic and piezoelectric energy transducers are common choices, which create an alternating current (AC) output [ 1 , 7 , 12 , 13 , 14 ].…”

Section: Introductionmentioning

confidence: 99%

“…Variable reluctance energy harvesting (VREH) has been identified to be a suitable technique for rotational kinetic energy harvesting with low rotational speeds [ 19 , 20 , 21 , 22 , 23 ]. VREHs are a type of electromagnetic energy harvesters, which generate an AC output as the result of magnetic flux changes inside a pickup coil [ 11 , 20 ]. As opposed to many other electromagnetic transducers, VREHs do not require a relative translation between coil and magnet, which makes them suitable for applications with large diameter rotating objects, as well as low rotational speeds [ 20 , 21 ].…”

Section: Introductionmentioning

confidence: 99%

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System Implementation Trade-Offs for Low-Speed Rotational Variable Reluctance Energy Harvesters

Bader

Magno

et al. 2021

Sensors

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Low-power energy harvesting has been demonstrated as a feasible alternative for the power supply of next-generation smart sensors and IoT end devices. In many cases, the output of kinetic energy harvesters is an alternating current (AC) requiring rectification in order to supply the electronic load. The rectifier design and selection can have a considerable influence on the energy harvesting system performance in terms of extracted output power and conversion losses. This paper presents a quantitative comparison of three passive rectifiers in a low-power, low-voltage electromagnetic energy harvesting sub-system, namely the full-wave bridge rectifier (FWR), the voltage doubler (VD), and the negative voltage converter rectifier (NVC). Based on a variable reluctance energy harvesting system, we investigate each of the rectifiers with respect to their performance and their effect on the overall energy extraction. We conduct experiments under the conditions of a low-speed rotational energy harvesting application with rotational speeds of 5rpm–20rpm, and verify the experiments in an end-to-end energy harvesting evaluation. Two performance metrics—power conversion efficiency (PCE) and power extraction efficiency (PEE)—are obtained from the measurements to evaluate the performance of the system implementation adopting each of the rectifiers. The results show that the FWR with PEEs of 20 % at 5 rpm to 40 % at 20 rpm has a low performance in comparison to the VD (40–60 %) and NVC (20–70 %) rectifiers. The VD-based interface circuit demonstrates the best performance under low rotational speeds, whereas the NVC outperforms the VD at higher speeds (>18 rpm). Finally, the end-to-end system evaluation is conducted with a self-powered rpm sensing system, which demonstrates an improved performance with the VD rectifier implementation reaching the system’s maximum sampling rate (40 Hz) at a rotational speed of approximately 15.5 rpm.

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“…Recently, some literature on rotational energy harvesting are available [12], which can be mainly divided into methods based on plucking, magnet, and gravity. The plucking method utilizes the relative motion between the strikers on the rotating structure and the fixed cantilever beam to create an excitation [13].…”

Section: Introductionmentioning

confidence: 99%

An Intelligent Self-Powered Pipeline Inner Spherical Detector With Piezoelectric Energy Harvesting

Rui

Zeng

et al. 2019

IEEE Access

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To break the limits of traditional pipeline inner spherical detector (PISD) application distances, this paper proposes a design of a piezoelectric energy harvester to develop an intelligent self-powered PISD. The harvester converts rotating mechanical energy into electrical energy. Due to restrictions in internal space and prohibition of magnet application, the harvester consists of a piezoelectric cantilever beam without any auxiliary structures. The fixed end of the harvester is fixed to the PISD shell and the free end extends in the direction of the center. A dynamic model was derived through the Euler-Lagrange method and an experiment platform with macro fiber composite was built. The harvester was designed in three schemes, and the longest harvester of 100 mm achieved optimum performance. After load optimization, 15.27 µW was obtained at 2.6 Hz, which is the rotational frequency of the PISD. A PISD prototype with a harvester was built and a pipeline experiment was conducted to analyze the output characteristics of the smooth operation and the passing weld operation. The results demonstrate that the proposed piezoelectric energy harvester has the potential to establish an intelligent self-powered PISD.

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A Comprehensive Method to Taxonomize Mechanical Energy Harvesting Technologies

Cited by 7 publications

References 47 publications

A review of energy harvesting using piezoelectric materials: state-of-the-art a decade later (2008–2018)

A review of energy harvesting using piezoelectric materials: state-of-the-art a decade later (2008–2018)

System Implementation Trade-Offs for Low-Speed Rotational Variable Reluctance Energy Harvesters

An Intelligent Self-Powered Pipeline Inner Spherical Detector With Piezoelectric Energy Harvesting

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