Analytical and Numerical Modeling Framework for Nanomaterial-Enhanced Fiber Optic CO2 Sensors

Document Type

Conference Proceeding

Publication Date

1-1-2024

Abstract

This study aims to develop a comprehensive analytical and numerical framework for monitoring and quantifying carbon dioxide (CO2) concentration using a multimode fiber-optic probe coated with a nanoporous structure. We have characterized the proposed sensor by investigating various performance parameters, such as sensitivity, full-width half maxima (FWHM) and figure of merit (FOM). Theoretical analysis of the probe showed a CO2 gas sensitivity seven times higher than that for Hydrogen and about three times higher than Nitrogen. The model analyzes transmission spectra based on the refractive index and thickness of a multilayer structure, with transfer matrices elucidating the interaction of light with each layer. The effective refractive index of the porous structure was calculated using effective medium theories. The use of this theoretical modeling approach before experimentation and field implementation can enable the selection of optimal fiber and coating materials, including their dimensions, customized to the target operational conditions. It also enables the comparison of theoretical predictions with experimental and field observations, which is essential for accurate quantification of CO2 leaks and emissions.

Publication Source (Journal or Book title)

Proceedings of SPIE - The International Society for Optical Engineering

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