In petrochemical industry, downstream operations can be optimized detecting hydrocarbons in the gas phase. Laser-based spectroscopic sensors are well suited for this application, since they proved to be highly selective, sensitive and robust. Quartz enhanced photoacoustic spectroscopy (QEPAS) is an optical technique, offering also a high level of compactness. In this work, a QEPAS sensor implementing a custom T-shaped quartz tuning fork and an interband cascade laser emitting at 3367 nm was employed to detect methane, ethane and propane in natural gas-like mixtures. The partial least square regression analysis was implemented to measure the hydrocarbons concentrations in the acquired signals.

Quartz enhanced photoacoustic spectrometer for natural gas composition analysis / Menduni, G.; Zifarelli, A.; Di Gioia, M.; Giglio, M.; Patimisco, P.; Sampaolo, A.; Marzocca, C.; Passaro, V. M. N.; Spagnolo, V.. - 12008:(2022), p. 30. [10.1117/12.2608868]

Quartz enhanced photoacoustic spectrometer for natural gas composition analysis

Menduni G.;Zifarelli A.;Di Gioia M.;Giglio M.;Patimisco P.;Sampaolo A.;Marzocca C.;Passaro V. M. N.;Spagnolo V.
2022-01-01

Abstract

In petrochemical industry, downstream operations can be optimized detecting hydrocarbons in the gas phase. Laser-based spectroscopic sensors are well suited for this application, since they proved to be highly selective, sensitive and robust. Quartz enhanced photoacoustic spectroscopy (QEPAS) is an optical technique, offering also a high level of compactness. In this work, a QEPAS sensor implementing a custom T-shaped quartz tuning fork and an interband cascade laser emitting at 3367 nm was employed to detect methane, ethane and propane in natural gas-like mixtures. The partial least square regression analysis was implemented to measure the hydrocarbons concentrations in the acquired signals.
2022
9781510648876
9781510648883
Quartz enhanced photoacoustic spectrometer for natural gas composition analysis / Menduni, G.; Zifarelli, A.; Di Gioia, M.; Giglio, M.; Patimisco, P.; Sampaolo, A.; Marzocca, C.; Passaro, V. M. N.; Spagnolo, V.. - 12008:(2022), p. 30. [10.1117/12.2608868]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/249680
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