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Editorial

Sensors Special Issue: “Vibration Energy Harvesting for Wireless Sensors”

1
Faculty of Mechanical Engineering, Brno University of Technology, 616 69 Brno, Czech Republic
2
University of Rijeka, Faculty of Engineering & Centre for Micro- and Nanosciences and Technologies, Vukovarska 58, 51000 Rijeka, Croatia
3
UCD Centre for Mechanics, Dynamical Systems and Risk Laboratory, School of Mechanical and Materials Engineering, University College Dublin, D04 V1W8 Dublin, Ireland
*
Authors to whom correspondence should be addressed.
Sensors 2022, 22(12), 4578; https://doi.org/10.3390/s22124578
Submission received: 17 May 2022 / Accepted: 16 June 2022 / Published: 17 June 2022
(This article belongs to the Special Issue Vibration Energy Harvesting for Wireless Sensors)
Mechanical vibrations occur in the operation of most technical systems. High-level vibrations could indicate an overloaded or damaged technical system. These states and behaviours can be monitored or reported, and ambient vibrations may, in turn, be used as a source of energy. The vibrational energy harvesters used in this framework could be an alternative to the supply of low-power autonomous electronic systems for the remote sensing of operations. However, the level of energy harvested using such an approach is usually very low, and the whole concept of vibration energy harvesting system operations (including power management electronics and wireless sensors) must be adapted for specific target applications.
This Special Issue, through twelve diverse contributions, intends to present some of the contemporary challenges, solutions and insights around the outlined issues and provides an overview of this rapidly evolving topic. The papers collected in this SI cover a variety of energy harvesting sources, as well as the need to create bases of numerical and experimental evidence around them. Qualifying and quantifying their performances in terms of energy harvesting levels, as well as their consistency and potential applications, are all reflected in these papers. The fundamental importance of understanding sensors, along with their possible integration within their respective application areas, including those related to the effective communication of measurement data, are also emphasized throughout this Special Issue.
Mech et al. [1] studied magnetomechanical harvesting and the related possibility of data transfer, investigating a novel hybrid solution focusing on rapid demagnetization [2]. Hadas et al. [3] explored an electromagnetic harvester for railway applications, where energy is transferred from the vibration of the rails during train operations, thereby leading to applications that can encompass monitoring. Litak et al. [4], on the other hand, focused on the fundamentals of energy harvesting and investigated aspects of bifurcation caused by their nonlinearities, whereby different domains of harvesting exist. In particular, the impact of hysteresis was analysed, a topic that should be explored in more detail by the energy harvesting scientific community. Koszewnik et al. [5] developed a smart beam made from macro fiber composites (MFC), numerically and experimentally demonstrating how energy harvesting can be used for damage detection in structural health monitoring. Machu et al. [6] further investigated the design of energy-harvesting-powered sensors through various configurations, creating experimental verifications of analytical models, which makes it possible to develop robust models with minimized computational effort, in-keeping with fundamental physics. Kunz et al. [7] focused their efforts on novel methods to assess the performance of these harvesters in terms of power flow. Bae and Kim [8], on the other hand, approached sensor performance issues in terms of load resistance optimisation for a bi-stable system. Okosun et al. [9] addressed one of the core sustainable development goals, the availability of drinking water, and experimentally demonstrated how energy harvesting patches can be used for pipeline leak detection, creating a respective benchmark. The topic of experimental validation was developed by Chen et al. [10], who studied the influence of driven harvesters in a magnetic field. For these harvesters, their source is important, and a comparison between piezoelectric and triboelectric harvesting of energy is investigated by Thainiramit et al. [11]. Finally, Phan et al. [12] provided a short and impactful investigation of electromagnetic harvesters with linear and nonlinear springs.
The dynamism and breadth of the treated topic is clearly demonstrated by the contributions to this Special Issue, as is the variety of approaches that are available. We expect this field of study to move further towards an interdisciplinary research field in the near future, giving rise to new sensors, methods of measurement and impactful applications across a range of sectors, established through scientific rigour, along with numerical and experimental benchmarks.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

Financial support from the EU COST Action ODIN is acknowledged.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Mech, R.; Wiewiórski, P.; Wachtarczyk, K. Use of Magnetomechanical Effect for Energy Harvesting and Data Transfer. Sensors 2022, 22, 3304. [Google Scholar] [CrossRef] [PubMed]
  2. Mech, R.; Wiewiórski, P.; Wachtarczyk, K. Rapid Demagnetization of New Hybrid Core for Energy Harvesting. Sensors 2022, 22, 2102. [Google Scholar] [CrossRef] [PubMed]
  3. Hadas, Z.; Rubes, O.; Ksica, F.; Chalupa, J. Kinetic Electromagnetic Energy Harvester for Railway Applications—Development and Test with Wireless Sensor. Sensors 2022, 22, 905. [Google Scholar] [CrossRef] [PubMed]
  4. Litak, G.; Margielewicz, J.; Gąska, D.; Rysak, A.; Trigona, C. On Theoretical and Numerical Aspects of Bifurcations and Hysteresis Effects in Kinetic Energy Harvesters. Sensors 2022, 22, 381. [Google Scholar] [CrossRef]
  5. Koszewnik, A.; Lesniewski, K.; Pakrashi, V. Numerical Analysis and Experimental Verification of Damage Identification Metrics for Smart Beam with MFC Elements to Support Structural Health Monitoring. Sensors 2021, 21, 6796. [Google Scholar] [CrossRef]
  6. Machu, Z.; Rubes, O.; Sevecek, O.; Hadas, Z. Experimentally Verified Analytical Models of Piezoelectric Cantilevers in Different Design Configurations. Sensors 2021, 21, 6759. [Google Scholar] [CrossRef] [PubMed]
  7. Kunz, J.; Fialka, J.; Pikula, S.; Benes, P.; Krejci, J.; Klusacek, S.; Havranek, Z. A New Method to Perform Direct Efficiency Measurement and Power Flow Analysis in Vibration Energy Harvesters. Sensors 2021, 21, 2388. [Google Scholar] [CrossRef] [PubMed]
  8. Bae, S.; Kim, P. Load Resistance Optimization of Bi-Stable Electromagnetic Energy Harvester Based on Harmonic Balance. Sensors 2021, 21, 1505. [Google Scholar] [CrossRef] [PubMed]
  9. Okosun, F.; Celikin, M.; Pakrashi, V. A numerical model for experimental designs of vibration-based leak detection and monitoring of water pipes using piezoelectric patches. Sensors 2020, 20, 6708. [Google Scholar] [CrossRef] [PubMed]
  10. Chen, C.D.; Wu, Y.H.; Su, P.W. Dynamic modeling and experimental validation of an impact-driven piezoelectric energy harvester in magnetic field. Sensors 2020, 20, 6170. [Google Scholar] [CrossRef] [PubMed]
  11. Thainiramit, P.; Yingyong, P.; Isarakorn, D. Impact-driven energy harvesting: Piezoelectric versus triboelectric energy harvesters. Sensors 2020, 20, 5828. [Google Scholar] [CrossRef] [PubMed]
  12. Phan, T.N.; Bader, S.; Oelmann, B. Performance of an electromagnetic energy harvester with linear and nonlinear springs under real vibrations. Sensors 2020, 20, 5456. [Google Scholar] [CrossRef] [PubMed]
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MDPI and ACS Style

Hadas, Z.; Zelenika, S.; Pakrashi, V. Sensors Special Issue: “Vibration Energy Harvesting for Wireless Sensors”. Sensors 2022, 22, 4578. https://doi.org/10.3390/s22124578

AMA Style

Hadas Z, Zelenika S, Pakrashi V. Sensors Special Issue: “Vibration Energy Harvesting for Wireless Sensors”. Sensors. 2022; 22(12):4578. https://doi.org/10.3390/s22124578

Chicago/Turabian Style

Hadas, Zdenek, Saša Zelenika, and Vikram Pakrashi. 2022. "Sensors Special Issue: “Vibration Energy Harvesting for Wireless Sensors”" Sensors 22, no. 12: 4578. https://doi.org/10.3390/s22124578

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