Distributed Optical Fiber Sensors with Ultrafast Laser Enhanced Rayleigh Backscattering Profiles for Real-Time Monitoring of Solid Oxide Fuel Cell Operations

Yan, Aidong; Huang, Sheng; Li, Shuo; Chen, Rongzhang; Ohodnicki, Paul; Buric, Michael; Lee, Shiwoo; Li, Ming-Jun; Chen, Kevin P.

doi:10.1038/s41598-017-09934-3

Title: Distributed Optical Fiber Sensors with Ultrafast Laser Enhanced Rayleigh Backscattering Profiles for Real-Time Monitoring of Solid Oxide Fuel Cell Operations

Journal Article · Thu Aug 24 00:00:00 EDT 2017 · Scientific Reports

DOI:https://doi.org/10.1038/s41598-017-09934-3· OSTI ID:1480844

Yan, Aidong ^[1]; Huang, Sheng ^[1]; Li, Shuo ^[1]; Chen, Rongzhang ^[1]; Ohodnicki, Paul ^[2]; Buric, Michael ^[2]; Lee, Shiwoo ^[2]; Li, Ming-Jun ^[3]; Chen, Kevin P. ^[1]

Univ. of Pittsburgh, PA (United States). Dept. of Electrical and Computer Engineering
National Energy Technology Lab. (NETL), Pittsburgh, PA, (United States)
Corning Incorporated, Corning, NY (United States)

This paper reports a technique to enhance the magnitude and high-temperature stability of Rayleigh back-scattering signals in silica fibers for distributed sensing applications. With femtosecond laser radiation, more than 40-dB enhancement of Rayleigh backscattering signal was generated in silica fibers using 300-nJ laser pulses at 250 kHz repetition rate. The laser-induced Rayleigh scattering defects were found to be stable from the room temperature to 800 °C in hydrogen gas. The Rayleigh scatter at high temperatures was correlated to the formation and modification of nanogratings in the fiber core. Using optical fibers with enhanced Rayleigh backscattering profiles as distributed temperature sensors, we demonstrated real-time monitoring of solid oxide fuel cell (SOFC) operations with 5-mm spatial resolution at 800 °C. Information gathered by these fiber sensor tools can be used to verify simulation results or operated in a process-control system to improve the operational efficiency and longevity of SOFC-based energy generation systems.

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Research Organization:: National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV, and Albany, OR (United States)

Sponsoring Organization:: USDOE

OSTI ID:: 1480844

Journal Information:: Scientific Reports, Vol. 7, Issue 1; ISSN 2045-2322

Publisher:: Nature Publishing GroupCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 76 works

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