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Single photon Lidar gas imagers for practical and widespread continuous methane monitoring

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  • Titchener, James
  • Millington-Smith, Doug
  • Goldsack, Chris
  • Harrison, George
  • Dunning, Alexander
  • Ai, Xiao
  • Reed, Murray

Abstract

The accurate and comprehensive identification and quantification of greenhouse gas (GHG) emissions is an essential part of the management and mitigation of climate change. We are developing a novel remote gas imaging sensor for the detection, visualisation, and quantification of methane emissions. The sensor uses a new technique we call Tunable Diode Lidar (TDLidar) which combines aspects of Tunable Diode Laser Absorption Spectroscopy (TDLAS) with Differential Absorption Lidar (DIAL) and Time Correlated Single Photon Counting (TCSPC) to enable remote spectroscopy and ranging with low power semiconductor diode lasers. Our first TDLidar methane sensors use diode lasers with wavelengths around the CH4 absorption line at 1.6509 μm and Peltier-cooled Single Photon Avalanche Diode (SPAD) detectors in a Random Modulation Continuous Wave (RM-CW) Lidar system. Here we characterise our TDLidar methane sensor performance with calibrated gas cells and controlled gas release trials and we demonstrate quantification of leak rates as low as 0.012 g/s and detection at distances over 90 m. The accuracy, speed, and practicality of the sensor, combined with an expectation of low-cost in volume, offers the potential that these sensors can be effectively applied for widespread continuous and autonomous monitoring of industrial methane emissions.

Suggested Citation

  • Titchener, James & Millington-Smith, Doug & Goldsack, Chris & Harrison, George & Dunning, Alexander & Ai, Xiao & Reed, Murray, 2022. "Single photon Lidar gas imagers for practical and widespread continuous methane monitoring," Applied Energy, Elsevier, vol. 306(PB).
  • Handle: RePEc:eee:appene:v:306:y:2022:i:pb:s0306261921013714
    DOI: 10.1016/j.apenergy.2021.118086
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    References listed on IDEAS

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    1. Daniel Zavala-Araiza & Ramón A Alvarez & David R. Lyon & David T. Allen & Anthony J. Marchese & Daniel J. Zimmerle & Steven P. Hamburg, 2017. "Super-emitters in natural gas infrastructure are caused by abnormal process conditions," Nature Communications, Nature, vol. 8(1), pages 1-10, April.
    2. Wang, Jingfan & Tchapmi, Lyne P. & Ravikumar, Arvind P. & McGuire, Mike & Bell, Clay S. & Zimmerle, Daniel & Savarese, Silvio & Brandt, Adam R., 2020. "Machine vision for natural gas methane emissions detection using an infrared camera," Applied Energy, Elsevier, vol. 257(C).
    3. Magnus Gålfalk & Göran Olofsson & Patrick Crill & David Bastviken, 2016. "Making methane visible," Nature Climate Change, Nature, vol. 6(4), pages 426-430, April.
    4. Stefan Schwietzke & Owen A. Sherwood & Lori M. P. Bruhwiler & John B. Miller & Giuseppe Etiope & Edward J. Dlugokencky & Sylvia Englund Michel & Victoria A. Arling & Bruce H. Vaughn & James W. C. Whit, 2016. "Upward revision of global fossil fuel methane emissions based on isotope database," Nature, Nature, vol. 538(7623), pages 88-91, October.
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    1. Gao, Yonggang & Liu, Yang & Dong, Zhichao & Ma, Dong & Yang, Bin & Qiu, Congcong, 2023. "Preliminary experimental study on combustion characteristics in a solid rocket motor nozzle based on the TDLAS system," Energy, Elsevier, vol. 268(C).

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