Advancing Reverse Electrowetting-on-Dielectric from Planar to Rough Surface Electrodes for High Power Density Energy Harvesting.

high surface areas, rough electrodes low-frequency motion energy harvesting mathematical modeling reverse electrowetting-on-dielectric wearable motion sensors zero applied bias

Journal

Energy technology (Weinheim, Germany)
ISSN: 2194-4288
Titre abrégé: Energy Technol (Weinh)
Pays: Germany
ID NLM: 101679638

Informations de publication

Date de publication:
Mar 2022
Historique:
received: 28 09 2021
revised: 18 11 2021
entrez: 21 7 2022
pubmed: 22 7 2022
medline: 22 7 2022
Statut: ppublish

Résumé

Reverse electrowetting-on-dielectric (REWOD)-based energy harvesting has been studied over the last decade as a novel technique of harvesting energy by actuating liquid droplet(s) utilizing applied mechanical modulation. Much prior research in REWOD has relied on planar electrodes, which by its geometry possess a limited surface area. In addition, most of the prior REWOD works have applied a high bias voltage to enhance the output power that compromises the concept of self-powering wearable motion sensors in human health monitoring applications. In order to enhance the REWOD power density resulting from an increased electrode-electrolyte interfacial area, high surface area electrodes are required. Herein, electrical and multiphysics-based modeling approaches of REWOD energy harvester using structured rough surface electrodes are presented. By enhancing the overall available surface area, an increase in the overall capacitance is achieved. COMSOL and MATLAB-based models are also developed, and the empirical results are compared with the models to validate the performance. Root mean square (RMS) power density is calculated using the RMS voltage across an optimal load impedance. For the proposed rough electrode REWOD energy harvester, maximum power density of 3.18 μW cm

Identifiants

pubmed: 35860308
doi: 10.1002/ente.202100867
pii: ENTE202100867
pmc: PMC9285574
doi:

Types de publication

Journal Article

Langues

eng

Pagination

2100867

Informations de copyright

© 2021 The Authors. Energy Technology published by Wiley‐VCH GmbH.

Déclaration de conflit d'intérêts

The authors declare no conflict of interest.

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Auteurs

Pashupati R Adhikari (PR)

Department of Mechanical Engineering University of North Texas Denton TX 76207 USA.

Adnan B Patwary (AB)

Department of Electrical Engineering University of North Texas Denton TX 76201 USA.

Karthik Kakaraparty (K)

Department of Electrical Engineering University of North Texas Denton TX 76201 USA.

Avinash Gunti (A)

Department of Electrical Engineering University of North Texas Denton TX 76201 USA.

Russell C Reid (RC)

Department of Engineering Dixie State University St. George UT 84770 USA.

Ifana Mahbub (I)

Department of Electrical Engineering University of North Texas Denton TX 76201 USA.

Classifications MeSH