A novel oscillating buoy wave energy harvester based on a spatial double X-shaped mechanism for self-powered sensors in sea-crossing bridges

Xie, Qingguo; Zhang, Tianming; Pan, Yajia; Zhang, Zutao; Yuan, Yanping; Liu, Yujie

doi:10.1016/j.enconman.2019.112286

Cited by 70 publications

(17 citation statements)

References 36 publications

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“…A dual-axis brushless DC motor was selected as the generator. As described in the reference ( Xie et al., 2020 ), the power of the generator can be expressed as:

where C R represents the rotational damping coefficient of the generator connected to the charging circuit. C R can be expressed as:

where K e is the back electromotive force constant of the DC brushless motor, R e is the external resistance of the charging circuit, and R i is the internal resistance of the generator.…”

Section: Resultsmentioning

confidence: 99%

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An extended-range wave-powered autonomous underwater vehicle applied to underwater wireless sensor networks

Zhang

et al. 2022

iScience

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“…A dual-axis brushless DC motor was selected as the generator. As described in the reference ( Xie et al., 2020 ), the power of the generator can be expressed as:

where C R represents the rotational damping coefficient of the generator connected to the charging circuit. C R can be expressed as:

where K e is the back electromotive force constant of the DC brushless motor, R e is the external resistance of the charging circuit, and R i is the internal resistance of the generator.…”

Section: Resultsmentioning

confidence: 99%

“…A dual-axis brushless DC motor was selected as the generator. As described in the reference (Xie et al, 2020), the power of the generator can be expressed as: 16)…”

Section: Modeling and Analysismentioning

confidence: 99%

An extended-range wave-powered autonomous underwater vehicle applied to underwater wireless sensor networks

Zhang

et al. 2022

iScience

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“…This paper discusses implemented method of CFD analysis of hull reservoir flap type wave energy converter (HRWEC) [2] a hybrid concept of Pendulor wave energy device and Pendulum wave energy converter (PeWEC) [2,3]. These types of novel devices have been the topic for research during recent times and some of the emerging concepts are discussed in following references [4,5,6].…”

Section: Introductionmentioning

confidence: 99%

Computational fluid dynamic simulation of hull reservoir wave energy device

Alwis

Silva

Gunawardane

et al. 2022

J. Phys.: Conf. Ser.

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This paper presents a Computational Fluid Dynamics (CFD) analysis of a wave energy device called the Hull Reservoir Wave Energy Converter (HRWEC). The device consists of a floating hull and a flap connected to the shaft of power take-off system (PTO), which is integral to the hull structure. It is unique due to its ability to convert wave energy by utilizing the pitch motion of the hull and rotating flap due to the internal water movement in the hull. Due to the complexity of the internal fluid dynamics, a CFD-based analysis was considered most appropriate. The CFD investigation of the dynamics of the device was done under regular wave conditions by using the ANSYS-AQWA and ANSYS FLUENT. Relative pitch angle variation, the hydrodynamic coefficients, which determine the degree of power extraction, were obtained from simulated results. A simulation was designed exhibiting complete system dynamics for different configurations varying on internal water height. Excellent convergence was observed, and an optimum configuration was identified. It is expected to validate the simulation results through experiments in the foreseeable future.

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“…In particular, they developed a piezoelectric impact-based micro wind energy harvester specifically designed and optimized for this task. A very interesting and peculiar solution can be found in [ 16 ], where it explains how to obtain a self-powered sensor in sea-crossing bridges by means of an oscillating buoy energy harvester (WEH). Vibrations represent one of the most attractive sources for energy harvesting, especially in situations where they are continuously generated on the monitored structure.…”

Section: Introductionmentioning

confidence: 99%

Design and Field Validation of a Low Power Wireless Sensor Node for Structural Health Monitoring

Zanelli

Dezza

Tarsitano

et al. 2021

Sensors

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Smart monitoring systems are currently gaining more attention and are being employed in several technological areas. These devices are particularly appreciated in the structural field, where the collected data are used with purposes of real time alarm generation and remaining fatigue life estimation. Furthermore, monitoring systems allow one to take advantage of predictive maintenance logics that are nowadays essential tools for mechanical and civil structures. In this context, a smart wireless node has been designed and developed. The sensor node main tasks are to carry out accelerometric measurements, to process data on-board, and to send wirelessly synthetic information. A deep analysis of the design stage is carried out, both in terms of hardware and software development. A key role is played by energy harvesting integrated in the device, which represents a peculiar feature and it is thanks to this solution and to the adoption of low power components that the node is essentially autonomous from an energy point of view. Some prototypes have been assembled and tested in a laboratory in order to check the design features. Finally, a field test on a real structure under extreme weather conditions has been performed in order to assess the accuracy and reliability of the sensors.

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A novel oscillating buoy wave energy harvester based on a spatial double X-shaped mechanism for self-powered sensors in sea-crossing bridges

Cited by 70 publications

References 36 publications

An extended-range wave-powered autonomous underwater vehicle applied to underwater wireless sensor networks

An extended-range wave-powered autonomous underwater vehicle applied to underwater wireless sensor networks

Computational fluid dynamic simulation of hull reservoir wave energy device

Design and Field Validation of a Low Power Wireless Sensor Node for Structural Health Monitoring

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