Sustainable Energy and Artificial Intelligence

Experimental and theoretical analysis for Plasmonic Graphene-Oxide as Energy Harvesting in IoT devices

Document Type : Original Article

Authors

Homa Farmani 1
Hamid Goudarziafshar 2

1 Hamedan University Of Technology

2 department of chemical engineering, hamedan university of technology

https://doi.org/10.61882/seai.2410-1020
Abstract
Energy harvesting within Internet of Things (IoT) devices pertains to the methodology of capturing and storing ambient energy to power diminutive, low-energy apparatuses. The phenomenon of surface plasmons, a collective of free electrons associated with graphene, constitutes a compelling subject in the domain of heterogeneous catalysis pertinent to energy harvesting.. As a result, plasmonic catalysts based on graphene are amenable to extensive applications in energy harvesting and energy storage, underpinned by their exceptional characteristics, including a high charge carrier mobility of 20 m²V⁻¹s⁻¹ and a high theoretical surface area of 2630 m²g⁻¹. This research presents both experimental and theoretical analyses employing the Finite-Difference Time-Domain (FDTD) method to investigate the potential of plasmonic-assisted nanocatalysis utilizing graphene oxide for energy harvesting and sustainable chemistry. Ultraviolet (UV) irradiation was employed as a methodical approach to progressively alter the chemical composition and structural characteristics of graphene oxide (GO) flakes, as substantiated by Atomic Force Microscopy (AFM) analysis. The ultrathin coatings and membranes derived from UV-irradiated GO flakes demonstrated the potential for tunable plasmonic energy harvesting. Moreover, the UV-treated superoleophobic GO membranes exhibited remarkable antifouling properties, rendering them highly suitable for advanced Internet of Things (IoT) applications.

Keywords

Energy Harvesting
Plasmonics
IoT
Graphene-Oxide
Energy storage

Subjects

Sustainable Energy and Artificial Intelligence
Volume 1, Issue 4
Autumn 2025
Pages 229-235

  • Receive Date 29 October 2024
  • Revise Date 26 December 2024
  • Accept Date 18 January 2025
  • First Publish Date 06 July 2025

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