Evidence map›Paper›PMID 40872471›Full record

ReviewMicromachines2025

Advancements and Future Prospects of Energy Harvesting Technology in Power Systems.

Haojie Du, Jiajing Lu, Wenye Zhang, Guang Yang, Wenzhuo Zhang, Zejun Xu, Huifeng Wang, Kejie Dai, Lingxiao Gao

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Micromachines, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Haojie DuCollege of Electric and Mechanical Engineering, Pingdingshan University, Pingdingshan 467000, China.
Jiajing LuSchool of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China.
Wenye ZhangCollege of Electric and Mechanical Engineering, Pingdingshan University, Pingdingshan 467000, China.
Guang YangCollege of Electric and Mechanical Engineering, Pingdingshan University, Pingdingshan 467000, China.
Wenzhuo ZhangCollege of Electric and Mechanical Engineering, Pingdingshan University, Pingdingshan 467000, China.
Zejun XuCollege of Electric and Mechanical Engineering, Pingdingshan University, Pingdingshan 467000, China.
Huifeng WangCollege of Electric and Mechanical Engineering, Pingdingshan University, Pingdingshan 467000, China.
Kejie DaiCollege of Electric and Mechanical Engineering, Pingdingshan University, Pingdingshan 467000, China.
Lingxiao GaoSchool of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China.

Funding

Project of Henan Provincial Department of Science and Technology in 2023 232102240008the General Program of National Natural Science Foundation of China NSFC No. 52205591the Hebei Province Higher School Science and Technology Research Found JZX2023016
6 · The paper itself

Abstract

The electric power equipment industry is rapidly advancing toward "informationization," with the swift progression of intelligent sensing technology serving as a key driving force behind this transformation, thereby triggering significant changes in global electric power equipment. In this process, intelligent sensing has created an urgent demand for high-performance integrated power systems that feature compact size, lightweight design, long operational life, high reliability, high energy density, and low cost. However, the performance metrics of traditional power supplies have increasingly failed to meet the requirements of modern intelligent sensing, thereby significantly hindering the advancement of intelligent power equipment. Energy harvesting technology, characterized by its long operational lifespan, compact size, environmental sustainability, and self-sufficient operation, is capable of capturing renewable energy from ambient power sources and converting it into electrical energy to supply power to sensors. Due to these advantages, it has garnered significant attention in the field of power sensing. This paper presents a comprehensive review of the current state of development of energy harvesting technologies within the power environment. It outlines recent advancements in magnetic field energy harvesting, electric field energy harvesting, vibration energy harvesting, wind energy harvesting, and solar energy harvesting. Furthermore, it explores the integration of multiple physical mechanisms and hybrid energy sources aimed at enhancing self-powered applications in this domain. A comparative analysis of the advantages and limitations associated with each technology is also provided. Additionally, the paper discusses potential future directions for the development of energy harvesting technologies in the power environment.

Indexed as

energy harvestingpower systemsthe current research statusthe future development trajectory

Identifiers

PMID40872471
PMCPMC12388669

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.