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Harnessing Dynamic Electrostatic Fields for Energy Generation with Diode Cells
Mid Sweden University, Faculty of Science, Technology and Media, Department of Engineering, Mathematics, and Science Education (2023-).ORCID iD: 0000-0003-2873-7875
Mid Sweden University, Faculty of Science, Technology and Media, Department of Engineering, Mathematics, and Science Education (2023-).ORCID iD: 0000-0001-9137-3440
Mid Sweden University, Faculty of Science, Technology and Media, Department of Computer and Electrical Engineering (2023-).ORCID iD: 0000-0003-3222-7165
Mid Sweden University, Faculty of Science, Technology and Media, Department of Engineering, Mathematics, and Science Education (2023-).ORCID iD: 0000-0002-4376-2676
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2025 (English)In: Advanced Science, E-ISSN 2198-3844, Vol. 12, no 28, article id e05476Article in journal (Refereed) Published
Abstract [en]

Harvesting energy from distributed mechanical motions has garnered significance in future power sources for small electronics and sensors. Although technologies like triboelectric nanogenerators have shown promising results, their efficacy hinges on the alignment of motion vectors and device architectures. Here, an approach employing stationary diode cells (DiCes) to generate electricity is presented. This approach leverages dynamically changing electrostatic fields to induce potential differences across diode junctions via electrostatic induction, which is verified theoretically and experimentally. DiCes constructed with multiple diodes can directly output DC voltage and current. A 0.02 m2 sized DiCe contains 360 diodes can supply a DC voltage and current of maximum 490 V and 1.08 mA, respectively, which equals a DC power density of 26.5 W<middle dot>m-2. Capable of functioning in both contact and non-contact modes, DiCes offer versatile applications, from wirelessly powering implanted medical devices to harvesting energy from vehicles and roads.

Place, publisher, year, edition, pages
Wiley , 2025. Vol. 12, no 28, article id e05476
Keywords [en]
diode cells, electrostatic fields, energy harvesting, implanted sensors
National Category
Condensed Matter Physics
Identifiers
URN: urn:nbn:se:miun:diva-54463DOI: 10.1002/advs.202505476ISI: 001486912600001PubMedID: 40364672Scopus ID: 2-s2.0-105005214939OAI: oai:DiVA.org:miun-54463DiVA, id: diva2:1960131
Available from: 2025-05-22 Created: 2025-05-22 Last updated: 2025-09-25

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Zhang, RenyunHummelgård, MagnusXu, YeOlsen, MartinÖrtegren, JonasThungström, GöranAndersson, Henrik

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Zhang, RenyunHummelgård, MagnusXu, YeOlsen, MartinÖrtegren, JonasThungström, GöranAndersson, Henrik
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Department of Engineering, Mathematics, and Science Education (2023-)Department of Computer and Electrical Engineering (2023-)
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Advanced Science
Condensed Matter Physics

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