Applications of energy harvesting for ultralow power technology

Pop-Vădean, A; Pop, P P; Barz, C; Chiver, Olivian

doi:10.1088/1757-899x/85/1/012024

Cited by 4 publications

(3 citation statements)

References 5 publications

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“…The energy can be harvested from ambient vibration that exists in oil and gas equipment, machines, and pipelines. The most common principles of harvesting vibration energy are electromagnetic, electrostatic [23], and piezoelectric [24][25][26]; while the latter has many advantages over other principles, since it does not need a voltage source like in the case of electrostatic harvesters and at the same time can be downscaled in size easily as opposed to the electromagnetic harvesters. Piezoelectric micro harvesters have proved to have the capability of producing large voltage output compared to others [27].…”

Section: Mems Energy Harvesters For Oil and Gas: Options And Challengesmentioning

confidence: 99%

Self-Powering Wireless Sensor Networks in the Oil and Gas Industry

Zarog¹

2023

Nanogenerators and Self-Powered Systems

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The total revenue from the oil and gas industry in 2019 was 3 trillion dollars with nearly 350,000 businesses working in this field. For more efficiency, all machinery and equipment, including thousands of kilometers of transporting pipelines, need to be monitored continuously and in real time. Hundreds or even thousands of sensing and control nodes are needed for the oil and gas industry. WSNs approach has allowed the company to reduce the number of antenna towers and masts at remote sites, which accounts for 40–60% of the infrastructure cost of building a wireless digital oilfield network. A conventional solution to power these nodes is the use of electrochemical batteries. However, problems can occur using batteries due to their finite lifespan. The need for constant replacement in remote locations can become a very expensive or even impossible task. Over the last years, ambient energy harvesters have received great attention, including vibration-to-electric energy conversion. The aim of this chapter is to present the usefulness of implementing IoT and self-powered WSNs in the oil and gas sector, as well as challenges and issues related to adopting such a system.

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Section: Mems Energy Harvesters For Oil and Gas: Options And Challengesmentioning

confidence: 99%

Self-Powering Wireless Sensor Networks in the Oil and Gas Industry

Zarog¹

2023

Nanogenerators and Self-Powered Systems

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“…3,4) A TE generator is capable of generating power density in the range from tenths of microwatts to milliwatts per cubic centimeter by using ambient energy sources, 5) which is high enough for powering portable, wearable, or swarmed sensor nodes in internet of things systems. [6][7][8][9][10] The conversion efficiency of the TE generator is dictated by the dimensionless figure-of-merit ZT, i.e., S 2 σT/κ, where S, σ, κ, and T are the Seebeck coefficient, electrical conductivity, thermal conductivity, and absolute temperature, respectively. 11,12) The typical conversion efficiency of TE materials remains below 10%; therefore, research is ongoing to develop new TE materials for power generation by improving ZT.…”

Section: Introductionmentioning

confidence: 99%

Superior power generation capacity of GeSn over Si demonstrated in cavity-free thermoelectric device architecture

Mahfuz¹,

Katayama²,

Ito³

et al. 2023

Jpn. J. Appl. Phys.

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The performance of a thermoelectric (TE) generator consisting of Germanium-tin (GeSn) wire has been experimentally found to be higher than that of a TE generator fabricated by Silicone (Si) wire. The TE generators were developed in a cavity-free architecture, where the wires are directly placed on the substrate without forming a cavity space underneath. In the Cavity-free structure, the heat current flows perpendicularly to the substrate and the TE generator is driven by a steep temperature gradient established around the heater inlet. With an identical patterning design, the TE performance of both generators was characterized by varying lengths. The maximum Seebeck coefficient of the generator consisting of GeSn is -277 μV/K and for the Si is -97 μV/K. The GeSn-TE generator has achieved high power factor of 31 μW∙K-2 ∙cm-1 than the Si-TE generator of 12 μW∙K-2 ∙cm-1. The maximum areal power density of the GeSn-TE generator is intrinsically higher than that of the Si-TE generator by approximately 2.5 to 6 times considering the wire thickness difference. The obtained results prefer the superiority of the GeSn-TE generator over the Si-TE generator.

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“…1,2) A TE generator is able to generate enough electricity to power an LED light or charge a mobile device and at the same time, its use is anticipated in portable, wearable, or swarmed sensor nodes in the internet of things (IoT) systems. [3][4][5][6][7] However, there are some limitations, such as manufacturing processes and the fabrication cost of TE generators. 8) Therefore, reducing their cost and improving their efficiency, as well as scalability, is a challenge for conventional TE generators.…”

Section: Introductionmentioning

confidence: 99%

Performance demonstration of cavity-free planar multi-stage bileg and unileg silicon-nanowire thermoelectric generators

Mahfuz

Tomita

Katayama

et al. 2022

Jpn. J. Appl. Phys.

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A Thermoelectric (TE) generator is expected to play an important role in the operation of tiny-watt capable wireless power supply devices by converting the waste heat energy into electrical energy. This work is the demonstration of planar cavity-free multi-stage n-type unileg- and bileg Si-nanowire (Si-NW) TE generators. The result shows that the output power of the multi-stage bileg-TE generator increases linearly with increasing the stage number, whereas the rate of increase of the multi-stage unileg-TE generator power output tends to decrease as the stage number increases. Although the power of the multi-stage bileg-TE generator fabricated in this work was smaller than that of the multi-stage unileg-TE generator due to the large internal resistance of p-type elements, however, the improved linearity of the bileg-TE generator than the unileg-TE generator indicates the potential advantage of the multi-stage bileg-TE generator for the large-scale integration.

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Applications of energy harvesting for ultralow power technology

Cited by 4 publications

References 5 publications

Self-Powering Wireless Sensor Networks in the Oil and Gas Industry

Self-Powering Wireless Sensor Networks in the Oil and Gas Industry

Superior power generation capacity of GeSn over Si demonstrated in cavity-free thermoelectric device architecture

Performance demonstration of cavity-free planar multi-stage bileg and unileg silicon-nanowire thermoelectric generators

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