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Vibration Energy Harvesting
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Vibration Energy Harvesting

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "D: Energy Storage and Application".

Deadline for manuscript submissions: 15 June 2026 | Viewed by 6081

Special Issue Editor

Prof. Dr. Yi-Ren Wang

E-Mail Website
Guest Editor
Department of Aerospace Engineering, Tamkang University, New Taipei City 25137, Taiwan
Interests: vibration energy harvesters; wind turbines; nonlinear vibration; aeroelasticity and structural dynamics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The development of energy harvesting is driven by the increasing reliance on electronic devices, the Internet of Things (IoT), and the necessity for decentralized power solutions. Vibration energy harvesting, in particular, offers an environmentally friendly alternative to conventional batteries for low-power devices. By exploiting ubiquitous mechanical vibrations, VEH enables self-powered systems in applications ranging from wearable technology to industrial monitoring. The technology's integration with advanced materials and microelectromechanical systems (MEMSs) has significantly improved energy conversion efficiency and broadened its application scope.

This Special Issue focuses on the theoretical advancements, design innovations, and real-world implementations of vibration energy harvesting systems. It aims to bring together researchers and practitioners from multidisciplinary domains to share insights and foster collaborations that advance VEH technologies. Topics range from material innovation and system modeling to the integration of VEH systems into broader energy solutions.

Detailed Topics:

  1. Fundamentals of VEH Technologies:
  • Piezoelectric, electromagnetic, and triboelectric mechanisms.
  • Multi-physics modeling and optimization strategies.
  1. Materials and Device Design:
  • Advanced materials such as piezoelectric composites and flexible substrates.
  • Design and fabrication of MEMS-based harvesters.
  1. System Integration and Optimization:
  • Energy storage solutions compatible with VEH, including supercapacitors and microbatteries.
  • Power management systems to maximize efficiency.
  1. Applications and Case Studies:
  • Industrial monitoring, wearable devices, smart cities, and IoT networks.
  • Deployment of autonomous sensors for remote or hard-to-reach locations.
  1. Future Trends and Challenges:
  • Scalability and cost reduction.
  • Addressing limitations in power density and vibration source dependency.

This Special Issue encourages contributions that bridge the gap between fundamental research and applied engineering, aiming to establish VEH as a cornerstone of next-generation energy solutions.

We look forward to receiving your submissions.

Prof. Dr. Yi-Ren Wang
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • vibration energy harvesting (VEH)
  • energy storage technologies
  • piezoelectricity
  • electromagnetic induction
  • triboelectric nanogenerators
  • internet of things (IoT)
  • MEMS energy harvesters
  • sustainable power solutions
  • autonomous sensors
  • renewable energy systems

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Published Papers (3 papers)

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Research

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17 pages, 4203 KB  
Article
Experimental and Numerical Investigation of Vibration-Based Piezoelectric Energy Harvesting Device
by Zhan Zhelev, Lukasz Kloda, Simona Doneva and Emil Manoach
Energies 2026, 19(4), 932; https://doi.org/10.3390/en19040932 - 11 Feb 2026
Viewed by 470
Abstract
A composite beam consisting of two layers is experimentally tested as an energy harvesting device. The substrate layer is made of aluminum and the piezoelectric layer is glued at 90% of the length of the alumina layer. The beam is clamped at one [...] Read more.
A composite beam consisting of two layers is experimentally tested as an energy harvesting device. The substrate layer is made of aluminum and the piezoelectric layer is glued at 90% of the length of the alumina layer. The beam is clamped at one end and is free at the other. The cantilever is subjected to periodic kinematic excitation, and the tip acceleration as well as the generated electricity are measured. A 3D finite element model of the beam is created and the coupled mechanical and electrical fields are studied numerically. The results are compared with those obtained experimentally. A parametric study is conducted to investigate the influence of the loading parameters (frequency and amplitude of excitation) and the electric resistance in the circuit on the generated electricity. Conclusions about the optimal conditions with respect to energy harvesting are made. The importance of proper modelling of the contact between the PZT layer and the substrate is demonstrated. Full article
(This article belongs to the Special Issue Vibration Energy Harvesting)
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28 pages, 5733 KB  
Article
Application of Machine Learning in Vibration Energy Harvesting from Rotating Machinery Using Jeffcott Rotor Model
by Yi-Ren Wang and Chien-Yu Chen
Energies 2025, 18(17), 4591; https://doi.org/10.3390/en18174591 - 29 Aug 2025
Cited by 1 | Viewed by 1363
Abstract
This study presents a machine learning-based framework for predicting the electrical output of a vibration energy harvesting system (VEHS) integrated with a Jeffcott rotor model. Vibration induced by rotor imbalance is converted into electrical energy via piezoelectric elements, and the system’s dynamic response [...] Read more.
This study presents a machine learning-based framework for predicting the electrical output of a vibration energy harvesting system (VEHS) integrated with a Jeffcott rotor model. Vibration induced by rotor imbalance is converted into electrical energy via piezoelectric elements, and the system’s dynamic response is simulated using the fourth-order Runge–Kutta method across varying mass ratios, rotational speeds, and eccentricities. The resulting dataset is validated experimentally with a root-mean-square error below 5%. Three predictive models—Deep Neural Network (DNN), Long Short-Term Memory (LSTM), and eXtreme Gradient Boosting (XGBoost)—are trained and evaluated. While DNN and LSTM yield a high predictive accuracy (R2 > 0.9999), XGBoost achieves comparable accuracy (R2 = 0.9994) with significantly lower computational overhead. The results demonstrate that among the tested models, XGBoost provides the best trade-off between speed and accuracy, achieving R2 > 0.999 while requiring the least training time. These results demonstrate that XGBoost might be particularly suitable for real-time evaluation and edge deployment in rotor-based VEHS, offering a practical balance between speed and precision. Full article
(This article belongs to the Special Issue Vibration Energy Harvesting)
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Review

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53 pages, 5543 KB  
Review
A Review of Linear Motor Electromagnetic Energy Regenerative Suspension and Key Technologies
by Dong Sun, Renkai Ding and Rijing Dong
Energies 2025, 18(19), 5158; https://doi.org/10.3390/en18195158 - 28 Sep 2025
Viewed by 3594
Abstract
Linear motor electromagnetic energy regenerative suspension (LMEERS), integrating dual functionalities of energy regeneration and active control, possesses the potential to overcome the performance limitations inherent in existing suspension architectures. Research on key technologies for LMEERS aligns with the contemporary automotive development theme of [...] Read more.
Linear motor electromagnetic energy regenerative suspension (LMEERS), integrating dual functionalities of energy regeneration and active control, possesses the potential to overcome the performance limitations inherent in existing suspension architectures. Research on key technologies for LMEERS aligns with the contemporary automotive development theme of “enhanced comfort, improved safety, and optimized energy efficiency”. This paper reviews the research progress of the configuration design, performance optimization, functionality switching criterion identification, and top-layer control strategies of LMEERS. Regarding configuration design, a systematic summary is provided for the design schemes of fundamental configuration and the technical features of three composite configurations. In the aspect of performance optimization, the specific approaches and their effectiveness in enhancing LMEERS comprehensive characteristics are analyzed. Concerning functionality switching criterion identification, the operating principles and performance differences among various estimation methods in identifying road surface information are discussed. For top-layer control strategies, the characteristics and applicability of various control methods in exploiting the dual functionalities of LMEERS are summarized. Future developments in LMEERS are anticipated to trend towards integration, lightweighting, standardization, intellectualization, and multi-mode operation. This review provides a theoretical reference for the design optimization and technological innovation of LMEERS, contributing to the advancement of automotive chassis systems in terms of electrification, intellectualization, and energy conservation. Full article
(This article belongs to the Special Issue Vibration Energy Harvesting)
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