Energy harvesting from sea waves with consideration of airy and JONSWAP theory and optimization of energy harvester parameters

Mirab, Hadi; Fathi, Reza; Jahangiri, Vahid; Ettefagh, Mir Mohammad; Hassannejad, Reza

doi:10.1007/s11804-015-1327-5

Cited by 15 publications

(6 citation statements)

References 20 publications

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“…To evaluate the effectiveness of a model, specific test scenarios are needed, and different models require different methods [33][34][35][36][37][38][39][40][41][42][43]. To test the effectiveness of the designed model, the program was coded in Code Vision at the mechatronics lab of Rayan Shid Nama Eng.…”

Section: Experiments and Resultsmentioning

confidence: 99%

Prevention of Metro Rail Accidents and Incidents in Stations Using RFID Technology

Sahba

2018

2018 World Automation Congress (WAC)

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Today, metro is one of the urban infrastructure and plays an important role in urban transport. The safety and health of people in a city are always important, and transport in the metro should also be safe. When subway trains operate, it is possible to occur various accidents such as an exit from the rails or collision with a possible obstacle on the rails (human or another train). In this paper, a model is proposed based on RFID technology in which the train is equipped with a RFID reader, and a control circuit with a microcontroller as well as placing RFID active tags at specific points of the path. When the train approaches the tagged points of the route, the train tag reader scans the tag number, and then the microcontroller identifies the status of the environment by retrieving the information from the internal database. Then, the control circuit adjusts the rotational speed of the electric motor and the train speed consequently based on that data. In this way, the speed of the train is adapted automatically and promptly to the conditions and the probability of an accident in unforeseen circumstances is reduced.

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Section: Experiments and Resultsmentioning

confidence: 99%

Prevention of Metro Rail Accidents and Incidents in Stations Using RFID Technology

Sahba

2018

2018 World Automation Congress (WAC)

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“…Such a technique has a wide application within sensor nodes that are offshore deployed, either floating or underwater, as it is commonly inconvenient to reach such devices to perform maintenance procedures. Harvesting energy from sea waves is feasible as oscillations stemming form such a motion may be converted in electrical energy [27]. Moreover, that phenomenon may be enhanced by resorting to duck-shaped structures [28].…”

Section: Energy Harvesting Techniques For Wireless Sensor Networkmentioning

confidence: 99%

A Review of Energy Harvesting Techniques for Low Power Wide Area Networks (LPWANs)

Peruzzi

Pozzebon

2020

Energies

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The emergence of Internet of Things (IoT) architectures and applications has been the driver for a rapid growth in wireless technologies for the Machine-to-Machine domain. In this context, a crucial role is being played by the so-called Low Power Wide Area Networks (LPWANs), a bunch of transmission technologies developed to satisfy three main system requirements: low cost, wide transmission range, and low power consumption. This last requirement is especially crucial as IoT infrastructures should operate for long periods on limited quantities of energy: to cope with this limitation, energy harvesting is being applied every day more frequently, and several different techniques are being tested for LPWAN systems. The aim of this survey paper is to provide a detailed overview of the the existing LPWAN systems relying on energy harvesting for their powering. In this context, the different LPWAN technologies and protocols will be discussed and, for each technology, the applied energy harvesting techniques will be described as well as the architecture of the power management units when present.

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“…Also, the addition of an electromagnetic oscillator placed outside of the beam working in conjunction with a piezoelectric harvester beam has the potential to further increase the power output of the system by up to 30% [20]. The application of piezoelectric harvesters can be extended to be modeled with sea waves using wave models [21]. Also, a combined hybrid system was proposed by Zhao et al, where the oscillations of FIV could harvest energy through piezoelectric strain and electromagnetic induction [22].…”

Section: Introductionmentioning

confidence: 99%

A hybrid piezoelectric–electromagnetic nonlinear vibration energy harvester excited by fluid flow

Hafizh

Muthalif

Renno

et al. 2021

Comptes Rendus. Mécanique

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Energy harvesting mechanisms can be used to extract energy from ambient surroundings to power small electronic devices, which has a significant advantage in realizing self-sustaining wireless devices. The proposed design of this study uses the internal fluid flow within a pipe and takes advantage of the fluidstructure interaction through flow-induced vibration of a bluff body. The hybrid harvester uses the vibration to convert electrical energy through a piezoelectric material and an electromagnetic oscillator that can be tuned to resonate at the oscillation frequency. A numerical solver was used to estimate harvestable voltage for this submerged hybrid energy harvester model by using ordinary differential equations. A computational study was used to optimize the performance of the bluff bodies under the influence of the vortices for circular, triangular, ellipse, and quadrilateral shapes. Wake development was seen in the circular and triangular shapes with the ellipse having the lowest turbulence kinetic energy among the shapes. Structural deflection of the beam under resonance was compared for the different shapes, which displayed better results for triangular and elliptical bluff bodies.

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Energy harvesting from sea waves with consideration of airy and JONSWAP theory and optimization of energy harvester parameters

Cited by 15 publications

References 20 publications

Prevention of Metro Rail Accidents and Incidents in Stations Using RFID Technology

Prevention of Metro Rail Accidents and Incidents in Stations Using RFID Technology

A Review of Energy Harvesting Techniques for Low Power Wide Area Networks (LPWANs)

A hybrid piezoelectric–electromagnetic nonlinear vibration energy harvester excited by fluid flow

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