Abstract

In this work, a semi-submersible piezoelectric energy harvester was used to provide power to a low-cost 4G Arduino shield. Initially, unsteady Reynolds averaged Navier–Stokes (URANS)-based simulations were conducted to investigate the dynamic forces under different conditions. An adaptive differential evolution (JADE) multivariable optimization algorithm was used for the power calculations. After JADE optimization, a communication cycle was designed. The shield works in two modes: communication and power saving. The power-saving mode is active for 285 s and the communication mode for 15 s. This cycle consumes a determinate amount of power, which requires a specific piezoelectric material and, in some situations, an extra power device, such as a battery or supercapacitor. The piezoelectric device is able to work at the maximum power point using a specific Insulated Gate Bipolar Transistor (IGBT) H-bridge controlled with a relay action. For the extra power supply, a bidirectional buck–boost converter was implemented to flow the energy in both directions. This electronic circuit was simulated to compare the extra power supply and the piezoelectric energy harvester behavior. Promising results were obtained in terms of power production and energy storage. We used 0.59, 0.67 and 1.69 W piezoelectric devices to provide the energy for the 4G shield and extra power supply device.

Highlights

  • Industry 4.0 and the Internet of Things (IoT), with data upload to the cloud, are common methods that aim to enhance systems by analyzing the measured data [1]

  • We studied the the design design and and application application of of an an underwater underwater energy energy harvester harvester implemented in a water pipe to supply energy to a communication device that communicates datadata via implemented in a water pipe to supply energy to a communication device that communicates uses piezoelectric materialmaterial characteristics to provide required

  • We considered that the control electronics use about in power-saving mode: margin was considered for power loses

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Summary

Introduction

Industry 4.0 and the Internet of Things (IoT), with data upload to the cloud, are common methods that aim to enhance systems by analyzing the measured data [1]. Regarding solutions based on mechanical element vibrations, Wang et al [11] proposed a piezoelectric energy harvesting generator for suspension structures, using a leaf spring with the piezoelectric layers connected to the workload. For flow-induced vibration-based solutions, both air [14,15,16] and water flows [17,18,19,20,21,22,23,24,25,26] can be exploited using piezoelectric transducers to produce electricity. Cottone et al [24] developed and patented an energy harvesting system consisting of a piezoelectric beam connected to a cylinder-shaped oscillating body placed in a water pipeline.

Harvester Description and Computational Setup
Electronic Circuit Development
V to work at the maximum power point of the energy
JADE-Based Algorithm for Power Optimization
Computational Results
Electronic Circuit Results
Vand to the maintain the acceptable performance the low-cost
4.35 V will be fully the extramode
11. Battery
12. Supercapacitor’s state during communication:
15. Maximum power harvester
Conclusions
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