Advanced Energy Harvesting Technology, 2nd Edition

Topic Information

Dear Colleagues,

This Topic is a continuation of the previous successful Topic “Advanced Energy Harvesting Technology”.

Energy harvesting is a promising technique for next-generation wireless and wearable electronic devices, since it can deliver sustainable energy to power low-power electronic devices by capturing ambient forms of energy that would otherwise be lost, such as light, heat, sound, vibration, etc. Energy harvesting is a multi-disciplinary technology that combines a wide range of research fields, e.g., the development of advanced energy materials, smart structures, and circuits for power management to achieve sufficient harvesting efficiency and innovations in applications to broaden the potential of the energy-harvesting technology. Here, we are pleased to invite the research community to submit a review or original research article on, but not limited to, the following relevant topics related to advanced energy-harvesting technology:

• Advanced materials for energy harvesting;
• Kinetic, thermal energy harvesting, etc.;
• Power management for energy-harvesting systems;
• Self-powered sensors;
• Applications of energy harvesting.

Dr. Mengying Xie
Prof. Dr. Kean C. Aw
Prof. Dr. Junlei Wang
Prof. Hailing Fu
Dr. Wee Chee Gan
Topic Editors

Keywords

Participating Journals

Journal Name	Impact Factor	CiteScore	Launched Year	First Decision (median)	APC
Applied Sciences applsci	2.5	5.5	2011	16 Days	CHF 2400	Submit
Energies energies	3.2	7.3	2008	16.8 Days	CHF 2600	Submit
Materials materials	3.2	6.4	2008	15.5 Days	CHF 2600	Submit
Micromachines micromachines	3.0	6.0	2010	16.8 Days	CHF 2100	Submit
Nanoenergy Advances nanoenergyadv	-	9.0	2021	15.2 Days	CHF 1200	Submit
Sensors sensors	3.5	8.2	2001	17.8 Days	CHF 2600	Submit

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Published Papers (2 papers)

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All Applied Sciences Energies Materials Micromachines Nanoenergy Advances Sensors

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23 pages, 5335 KB  

Open AccessArticle

Design of a Low-Power RFID Sensor System Based on RF Energy Harvesting and Anti-Collision Algorithm

by Xin Mao, Xuran Zhu and Jincheng Lei

Sensors 2026, 26(3), 1023; https://doi.org/10.3390/s26031023 - 4 Feb 2026

Viewed by 135

Abstract

Passive radio frequency identification (RFID) sensing systems integrate wireless energy transfer with information identification. However, conventional passive RFID systems still face three key challenges in practical applications: low RF energy harvesting efficiency, high power consumption of sensor loads, and high complexity of tag [...] Read more.

Passive radio frequency identification (RFID) sensing systems integrate wireless energy transfer with information identification. However, conventional passive RFID systems still face three key challenges in practical applications: low RF energy harvesting efficiency, high power consumption of sensor loads, and high complexity of tag anti-collision algorithms. To address these issues, this paper proposes a hardware–software co-optimized RFID sensor system. For hardware, low threshold RF Schottky diodes are selected, and an input inductor is introduced into the voltage multiplier rectifier to boost the signal amplitude, thereby enhancing the radio frequency to direct current (RF-DC) energy conversion efficiency. In terms of loading, a low-power management strategy is implemented for the power supply and control logic of the sensor node to minimize the overall system energy consumption. For algorithmic implementation, a Dual-Threshold Stepped Dynamic Frame Slotted ALOHA (DTS-DFSA) anti-collision algorithm is proposed, which adaptively adjusts the frame length based on the observed collision ratio, eliminating the need for complex tag population estimation. The algorithm features low computational complexity and is well suited for resource constrained embedded platforms. Through simulation validation, we compare the conversion efficiency of the RF energy harvesting circuit before and after improvement, the current of the sensor load in active and idle states, and the performance of the proposed algorithm against the low-complexity DFSA (LC-DFSA). The results show that the maximum conversion efficiency of the improved RF energy harvesting circuit has increased from 60.56% to 68.69%; specifically, the sensor load current drastically drops from approximately 2.0 $\mathrm{m}\mathrm{A}$ in the active state to around 74 $\mathsf{\mu }\mathrm{A}$ in the idle state, validating the efficacy of the proposed power gating strategy, and the proposed DTS-DFSA algorithm outperforms existing low-complexity schemes in both identification efficiency and computational complexity. Full article

(This article belongs to the Topic Advanced Energy Harvesting Technology, 2nd Edition)

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12 pages, 5002 KB  

Open AccessArticle

Multi-Unit Coupled Motion Hybrid Generator Based on a Simple Pendulum Structure

by Yifan Li, Huiying Li and Lingyu Wan

Appl. Sci. 2025, 15(10), 5454; https://doi.org/10.3390/app15105454 - 13 May 2025

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Abstract

Wave energy is a widely distributed, abundant, and clean renewable energy source with tremendous potential for development. This study presents a multi-unit coupled motion hybrid generator (MCM-HG) based on a pendulum structure for harvesting low-frequency wave energy. The device integrates eight power generation [...] Read more.

Wave energy is a widely distributed, abundant, and clean renewable energy source with tremendous potential for development. This study presents a multi-unit coupled motion hybrid generator (MCM-HG) based on a pendulum structure for harvesting low-frequency wave energy. The device integrates eight power generation units, including triboelectric nanogenerators (TENGs), electromagnetic generators (EMGs), and piezoelectric nanogenerators (PENGs), enhancing space utilization and energy conversion efficiency through coupled motion. Experiments show that at a frequency of 0.5 Hz and a swing angle of 15°, the MCM-HG achieves an output power of 22.07 mW and a power density of 7.36 Wm⁻³. The device successfully powers microelectronic devices, demonstrating its potential application value in the marine Internet of Things. Full article

(This article belongs to the Topic Advanced Energy Harvesting Technology, 2nd Edition)

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