Near-Optimal Design of Scalable Energy Harvester for Underwater Pipeline Monitoring Applications With Consideration of Impact to Pipeline Performance

Qureshi, Fassahat Ullah; Muhtaroğlu, Ali; Tuncay, Kağan

doi:10.1109/jsen.2017.2661199

Cited by 27 publications

(10 citation statements)

References 29 publications

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“…Nevertheless, if the drifter is strictly dedicated to current monitoring, its body should be mostly submerged to avoid the wind effect [7] and, thus, the irradiation at the panels is attenuated. Also, in many oceanic regions solar irradiation is Previous works have shown many harvesting possibilities from kinetic sources in marine environments [8], [9]. Inertiabased harvesters are one of the main solutions for low-power, non-anchored oceanic devices, which is the case of drifters, and they can be further classified as gyroscopic or pendulum systems [10].…”

Section:  Introductionmentioning

confidence: 99%

Design and Testing of a Kinetic Energy Harvester Embedded Into an Oceanic Drifter

et al. 2020

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A novel Kinetic Energy Harvester (KEH) has been developed for powering oceanic undrogued drifters. It consists on a double pendulum system capable of transforming the wave oscillations into rotation on a flywheel. This rotation is converted into DC current by an electrical generator and further processed by a power management unit (PMU). The PMU includes a "maximum power point tracking" system to maximize energy production by the generator. An oceanic drifter has also been designed to embed the KEH and a custom-made measurement system to perform real sea tests. It counts on an Inertial Measurement Unit to study the motion of the drifter and an embedded measurement system to estimate the rotation speed of the generator and the power at both the input and output of the PMU. A Wi-Fi connection is also included for data transfer at short distances. The generator was firstly characterized at the laboratory; the drifter was then placed on a linear shaker to assess its performance. Finally, the drifter was deployed in a controlled sea area with average values of wave height and frequency of 1.43 m and 0.29 Hz, respectively. In these conditions, the drifter showed horizontal and vertical oscillations with peak-to-peak accelerations of 0.8 g and power spectra centered around 1.5 Hz and 1 Hz, respectively. As a result, the KEH generated a mean output power of 0.18 mW, with peaks of 2.5 mW.

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Section:  Introductionmentioning

confidence: 99%

Design and Testing of a Kinetic Energy Harvester Embedded Into an Oceanic Drifter

et al. 2020

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“…Table 2 provides a comparison of these three techniques in the wireless network. The selection of the harvesting method was based on considering its advantages and disadvantages that were analysed during the literature [21], [22], [23]. Difficult to design due to maintain optimal thermal conduction coefficient, low power generated…”

Section: A Perception Layermentioning

confidence: 99%

IoT Technology for Smart Water System

Radhakrishnan

2018

2018 IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference On

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A serious drop in ensuring the water quality in the distribution system is a factor that affects public health. This could lead to increase in biological and non-biological contents, change in colour and odour of the water. These contaminants cause a serious threat to the whole water ecosystem. The conventional methods of analyzing the water quality require much time and labour. So there is a need to monitor and protect the water with a real time water quality monitoring system in order to make active measurements to reduce contamination. The growth of the technology had helped in developing efficient methods to solve many serious issues in real-time. Internet of things (IoT) has achieved a great focus due to its faster processing and intelligence. This paper focuses on discussing the architecture, applications and need of IoT in water management system.

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“…In the second method, researchers tried their best to maximise the predictable overall delivered data over a finite time slot based on energy‐based protocols [20, 21]. In the third method, the energy harvesting source is a water current, underwater environment, and acoustic waves [22, 23]. To the best of our knowledge, this paper proposes the SWIPT for the first time for UWA communication.…”

Section: Introductionmentioning

confidence: 99%

Wireless information and power transfer for underwater acoustic time‐reversed NOMA

et al. 2020

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Near-Optimal Design of Scalable Energy Harvester for Underwater Pipeline Monitoring Applications With Consideration of Impact to Pipeline Performance

Cited by 27 publications

References 29 publications

Design and Testing of a Kinetic Energy Harvester Embedded Into an Oceanic Drifter

Design and Testing of a Kinetic Energy Harvester Embedded Into an Oceanic Drifter

IoT Technology for Smart Water System

Wireless information and power transfer for underwater acoustic time‐reversed NOMA

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